Emerging Approaches to DNA Data Storage: Challenges and Prospects
Open accessAbstract
. As such, data production will far exceed the capacity of currently available storage methods. The costs of maintaining and transferring data, as well as the limited lifespans and significant data losses associated with current technologies also demand advanced solutions for information storage. Nature offers a powerful alternative through the storage of information that defines living organisms in unique orders of four bases (A, T, C, G) located in molecules called deoxyribonucleic acid (DNA). DNA molecules as information carriers have many advantages over traditional storage media. Their high storage density, potentially low maintenance cost, ease of synthesis, and chemical modification make them an ideal alternative for information storage. To this end, rapid progress has been made over the past decade by exploiting user-defined DNA materials to encode information. In this review, we discuss the most recent advances of DNA-based data storage with a major focus on the challenges that remain in this promising field, including the current intrinsic low speed in data writing and reading and the high cost per byte stored. Alternatively, data storage relying on DNA nanostructures (as opposed to DNA sequence) as well as on other combinations of nanomaterials and biomolecules are proposed with promising technological and economic advantages. In summarizing the advances that have been made and underlining the challenges that remain, we provide a roadmap for the ongoing research in this rapidly growing field, which will enable the development of technological solutions to the global demand for superior storage methodologies.
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Written from the paper’s full text.
TL;DR
This review surveys sequence-based and structure-based DNA data storage, arguing that DNA offers exceptional density and longevity but remains noncompetitive because of slow writing/reading and high cost. It outlines advances in synthesis, storage, random access, sequencing, error correction, and DNA nanotechnology, and proposes hybrid approaches for archival storage.
Key findings
- Global data storage demand is predicted to reach 1.75 × 10^14 GB by 2025, while current storage media have a maximum density of 10^3 GB/mm^3; DNA has a theoretical density of 6 bits per 1 nm of polymer, or ∼4.5 × 10^7 GB/g.
- Sequence-based DNA storage is estimated at 800 million USD per terabyte versus about 15–16 USD/TB for tape; current writing speed is on the order of kilobytes/second, with a need for gigabytes/second, leaving gaps of 6 orders of magnitude in writing and 2–3 orders in reading.
- Storage protection trades longevity against density: Table 1 reports dried DNA at 17,000 PB/g with a 7-year half-life at 10 °C, DNAshell at >100,000 years but only 0.0034 PB/g, silica particles at 580 PB/g and 540 years, and salt matrices at 3400 PB/g and 750 years; random access has been demonstrated at a 5.5 TB pool size.
- Structure-based DNA storage can be erased and rewritten via self-assembly but requires ∼100 base pairs per bit, still about 3 orders of magnitude denser than current hard drives; nanopore readout can read a DNA hard drive on the millisecond time scale, with a 3-bit barcode assigned at 94% accuracy and up to 10 structural colors.
Methods
- This is a review article comparing “sequence-based” and “structure-based” DNA data storage across encoding, writing, storage, random access, reading, decoding, and DNA nanotechnology/computation.
- It synthesizes prior literature and tabulated data; no new experimental samples or primary data are reported. The main analysis is qualitative and comparative, using metrics from cited studies.
Limitations
- Stated: DNA data storage is currently limited by low writing and reading speed, high cost per byte, storage degradation, random-access constraints, and unresolved optimal error correction for high insertion/deletion error rates; structure-based methods have lower density because they require ∼100 base pairs per bit.
- Stated: long-term stability of noncovalently assembled DNA nanostructures, encapsulation/retrieval in matrices, and readability after prolonged freezing need further study, and systematic decay studies are missing.
- Evident: as a review, it does not present original experiments, and its cost/speed figures are drawn from cited works and may not reflect later developments.
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Cites
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Claims the paper makes
0 of 220 cited sources checked · 0 supported · 0 flagged
- Findingreasoning
Generally, all storage approaches trade long-term stability with a decrease in storage density by 1-3 orders of magnitude, caused by the low loading ratio between DNA and carrier.
“Generally, all storage approaches trade long-term stability with a decrease in storage density by 1–3 orders of magnitude, caused by the low loading ratio between DNA and carrier (see Table 1).”
Quote in the paperNot a substantial claim - Premisecitation
DNA molecules are stable for thousands of years under suitable storage conditions.
“these molecules are stable for thousands of years under suitable storage conditions;4”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] source
Not checked in the free run.
- Premisecitation
The global data storage demand is predicted to grow to 1.75 × 10^14 GB by 2025.
“the global data storage demand is predicted to grow to 1.75 × 1014 GB by 2025.”
- Also stated in: § Introduction · hedged
“the global demand for data storage expected to grow up to 1.75 × 1014 GB by 2025”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] source
Not checked in the free run.
- Also stated in: § Introduction · hedged
- Premisecitation
DNA nanotechnology can create arbitrary two- and three-dimensional shapes using the specific base-pairing properties of the nitrogenous bases.
“DNA nanotechnology harnesses the specific base-pairing properties of the nitrogenous bases to create arbitrary two- and three-dimensional shapes.24”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] source
Not checked in the free run.
- Interpretationreasoning
One potential strategy to circumvent the pitfalls of sequence-based DNA data storage is to rely on the programmable three-dimensional structure of DNA as opposed to its primary sequence.
“One potential strategy to circumvent these pitfalls is to rely on the programmable three-dimensional structure of DNA as opposed to its primary sequence (Figure 2c,d).”
Quote in the paperSubstantial claim
- Interpretationreasoning
The structure-based strategy may reduce the number of DNA sequences that must be synthesized by allowing erasing and rewriting of data through simple self-assembly.
“The structure-based strategy may reduce the number of DNA sequences that must be synthesized by allowing for the erasing and rewriting of data through simple self-assembly.”
Quote in the paperSubstantial claim - Premisecitation
Both chemical and enzymatic DNA syntheses are severely limited by the low speed of these processes.
“Both chemical and enzymatic syntheses are severely limited by the low speed of these processes.29,39”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
Each procedure involved in DNA data storage-encoding, writing, storage, random access, reading, and decoding-has significant technical limitations that render DNA data storage, at present, not competitive with magnetic and solid-state storage devices.
“However, each of the procedures involved in DNA data storage—encoding, writing, storage, random access, reading, and decoding—has significant technical limitations that render DNA data storage, at present, not competitive with magnetic and solid-state storage devices.”
Quote in the paperSubstantial claim - Premisereasoning
Enzyme-based DNA synthesis methods are still in their infancy.
“An alternative to chemical synthesis is enzyme-based methods, but they are still in their infancy.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The required power consumption for the archival storage of DNA is very low.
“This DNA sample was preserved in bone, thereby demonstrating that the required power consumption for the archival storage of DNA is very low—another benefit compared with traditional data storage media.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] source
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- Premisenone given
A major limitation of enzymatic DNA synthesis is DNA polymerase's need for a template strand.
“A major limitation, however, is DNA polymerase’s need for a template strand.”
Quote in the paperSubstantial claim - Premisereasoning
Producing DNA strands longer than a few hundred nucleotides introduces a significant number of errors into the sequence.
“producing DNA strands longer than a few hundred nucleotides (nt) introduces a significant number of errors into the sequence.”
Quote in the paperNot a substantial claim - Interpretationcitation
The high price of writing DNA data using existing methods prohibits its mainstream adoption as an information storage material.
“The high price of writing DNA data using existing methods prohibits its mainstream adoption as an information storage material.”
Quote in the paperSubstantial claim - Premisecitation
The maximum data that can be stored within a single macroscopic storage container has been estimated to lie between a few TB up to a few hundred TB.
“This represents the maximum data that can be stored within a single macroscopic storage container, and has been estimated to lie between a few TB up to a few hundred TB.56,6,70”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Hydrolysis is the dominating decay pathway in a data storage context.
“Among those, hydrolysis is the dominating decay pathway in a data storage context.57,58”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisereasoning
Logical redundancy guarantees reconstruction even when errors occur.
“Logical redundancy guarantees reconstruction even when errors occur.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Access to DNA subpools, equivalent to file-level random access, is crucial to scale DNA-based data storage up to large data capacities with no need for costly, complete sequencing of the pool.
“This access to DNA subpools, equivalent to file-level random access, is crucial to scale DNA-based data storage up to large data capacities with no need for costly, complete sequencing of the pool.”
Quote in the paperSubstantial claim - Interpretationreasoning
Further improvements in coding density toward DNA's Shannon capacity are largely overshadowed by the general loss of storage density due to the storage matrix.
“Indeed, further improvements in the coding density toward DNA’s Shannon capacity, for example, by means of improved encoding algorithms or lowering logical redundancy, are largely overshadowed by the general loss of storage density due to the storage matrix.”
Quote in the paperSubstantial claim - Premisecitation
Biotin-labeled primers can be used to address and extract specific files via streptavidin magnetic beads based on file-specific random access regions in encoding oligos.
“As mentioned above, biotin-labeled primers can be used to address and extract specific files via streptavidin magnetic beads on the basis of file-specific random access regions in encoding oligos, similarly to PCR-based addressing.71,78”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisenone given
Systematic studies on decay mechanisms and rates for many approaches to data encoding in DNA are missing.
“To this end, systematic studies on decay mechanisms and rates for many approaches to data encoding in DNA are missing, a critical factor regarding approaches that heavily rely on structural integrity for data retrieval.”
Quote in the paperSubstantial claim - Premisecitation
Despite DNA's long-term stability in well-controlled environments such as ancient bone, both aqueous solutions and dried DNA only exhibit a half-life on the order of months to a few years under ambient conditions.
“Despite DNA’s long-term stability in well-controlled environments such as ancient bone, with storage durations as long as several hundred thousand years,54,55 both aqueous solutions and dried DNA only exhibit a half-life on the order of months to a few years under ambient conditions.56”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisereasoning
DNA storage systems overcome errors without losing data by capitalizing on both physical and logical redundancy.
“DNA storage systems overcome these errors without losing data by capitalizing on both physical and logical redundancy.”
Quote in the paperSubstantial claim - Interpretationcitation
As pool sizes and number of sequences become larger, enrichment of a few copies against an ever-increasing background will at some point hit limitations of PCR regarding processing volumes, required amplification cycles, and nonspecific amplification due to primer-payload similarity.
“Moreover, as pool sizes and, thus, the number of sequences, become larger, the enrichment of a few copies against an ever-increasing background will at some point hit the limitations of PCR regarding processing volumes, required amplification cycles to obtain sufficient enrichment, and nonspecific amplification due to primer–payload similarity.77,70”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Physical and logical redundancy lower the storage density of DNA.
“While physical and logical redundancy lower the storage density of DNA, recent works have proposed to raise it by expanding the DNA alphabet using composite natural letters7,51,52 or chemically modified nucleotides.53”
Quote in the paperNot a substantial claim0 of 4 sources checked - Interpretationreasoning
An addressing system is needed to select subpools from a complex DNA mixture with high specificity.
“This has a major implication: an addressing system is needed to select subpools from a complex DNA mixture, with high specificity.”
Quote in the paperSubstantial claim - Premisecitation
Incorporation of random-access priming regions into each oligo decreases the available space for data-encoding bases, thereby decreasing storage density, currently by about 15% per address region.
“First, the incorporation of random-access priming regions into each oligo decreases the available space for data-encoding bases, thereby also decreasing the storage density (currently by about 15% per address region).71,75”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisenone given
Without appropriate protection, DNA is degraded by multiple mechanisms, including strand breaks, nucleotide mutations, strand cross-linking by UV, oxidation, hydrolysis, alkylation, or mechanical stress, all due to environmental factors.
“Without appropriate protection, DNA (and thus the data encoded within) is degraded by multiple mechanisms, including strand breaks, nucleotide mutations, strand cross-linking by UV, oxidation, hydrolysis, alkylation, or mechanical stress, all of which are due to environmental factors.”
Quote in the paperSubstantial claim - Interpretationcitation
It is likely unpractical to scale random access by PCR-based addressing indefinitely because of the difficulty of orthogonal primer design and the requirement for many amplification cycles given PCR bias.
“While this does not appear to be a hard limit,6 it is likely unpractical to scale random access by PCR-based addressing indefinitely because of the aforementioned difficulty of orthogonal primer design and the requirement for many amplification cycles given the associated impact of PCR bias.20”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Currently, readout of the DNA sequences needed for data decoding relies heavily on established DNA sequencing technologies, most prominently sequencing-by-synthesis (SBS) as commercialized by Illumina.
“Currently, readout of the DNA sequences needed for data decoding relies heavily on established technologies for DNA sequencing in life science applications, most prominently sequencing-by-synthesis (SBS) as commercialized by Illumina.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Currently, the highest demonstrated data capacity for random access is on the order of terabytes of data.
“Currently, the highest demonstrated data capacity for random access is on the order of terabytes of data.6,12,71”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationreasoning
Hierarchical storage systems combining high-level access to isolated subpools with file-level random access within such subpools appear more suited to allow for random access at the data capacities envisioned for DNA data storage.
“As an alternative, hierarchical storage systems combining high-level access to isolated subpools with file-level random access within such subpools appear more suited to allow for random access at the data capacities envisioned for DNA data storage.”
Quote in the paperSubstantial claim - Interpretationreasoning
The choice of sequencing platform has a marked impact on the design and feasibility of sequence-based DNA data storage.
“the choice of sequencing platform has a marked impact on the design and feasibility of sequence-based DNA data storage.”
Quote in the paperSubstantial claim - Premisecitation
The high error rate of nanopore sequencing is approximately 10% per nucleotide in the single read.
“The high error rate of nanopore sequencing (∼10% per nt in the single read),70,88”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Nanopore sequencing improves upon several limitations of SBS for DNA data storage.
“While nanopore sequencing improves upon several limitations of SBS for DNA data storage, as reviewed by Ceze et al.,”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] source
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- Premisenone given
Nanopore sequencing uses electrical readouts rather than fluorescence detection to identify each base of a DNA strand as it moves through a biological nanopore.
“Nanopore sequencing uses electrical readouts rather than fluorescence detection to identify each base of a DNA strand as it moves through a biological nanopore.”
Quote in the paperNot a substantial claim - Premisecitation
Nanopore sequencing commercialized by Oxford Nanopore Technologies has been used because of its ease of implementation, automation, and portability.
“sequencing using protein nanopores, commercialized by Oxford Nanopore Technologies, has been used because of its ease of implementation, automation, and portability”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
SBS introduces a nearly negligible rate of errors, approximately 0.5% per nucleotide.
“compared with the nearly negligible rate of errors introduced by SBS (∼0.5% per nt),70”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [70] source
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- Interpretationreasoning
Development of solid-state nanopores for DNA structure determination including sequence holds promise for data storage applications due to potential increased accuracy and throughput by avoiding enzymes limiting translocation rate.
“the development of solid-state nanopores for the determination of DNA structures including their sequence, with the potential of increased accuracy and throughput by avoiding enzymes limiting the translocation rate, holds promise for data storage applications.”
Quote in the paperSubstantial claim - Premisecitation
Errors are introduced during the synthesis, storage, and amplification steps of DNA data storage, presenting challenges for data decoding.
“errors are also introduced during the synthesis, storage, and amplification steps of DNA data storage, which presents challenges regarding data decoding.”
Quote in the paperSubstantial claim - Premisecitation
Amplification and SBS-based platforms mainly introduce substitution errors.
“While amplification and SBS-based platforms mainly introduce substitution errors (reading a C instead of a G, for example),”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Sufficient pore utilization for high sequencing throughput can only be realized for long fragments (>1 kb).
“sufficient pore utilization for high sequencing throughput can only be realized for long fragments (>1 kb).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Synthesis dominantly causes deletions at a final rate of around 0.2-1% per nucleotide.
“synthesis dominantly causes deletions (e.g., missing a base) at a final rate of around 0.2–1% per nt.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
Readily available oligo libraries with a length of only a few hundred nucleotides per sequence must be combined into longer assemblies to be suitable for nanopore sequencing.
“the readily available oligo libraries with a length of only a few hundred nucleotides per sequence must be combined into longer assemblies to be suitable for nanopore sequencing.”
Quote in the paperSubstantial claim - Premisecitation
In 2015, a DNA data storage that used an error-correcting scheme enabling recovery of full data was realized by Grass et al.
“In 2015, a DNA data storage that used an error-correcting scheme, which enabled the recovery of full data, was realized by Grass et al.4”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] source
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- Interpretationreasoning
Loss of individual sequences and introduction of errors into these sequences pose a risk on error-free decoding.
“both the loss of individual sequences and the introduction of errors into these sequences pose a risk on error-free decoding.”
Quote in the paperSubstantial claim - Interpretationreasoning
The parameters of a good error-correcting code depend on the rates and type of errors.
“This means that the parameters of a good error-correcting code depend on the rates and type of errors.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because cost and automation limit most potential for reducing error rates within the data storage workflow, sufficient redundancy must be implemented at the sequence level.
“As considerations for cost and automation limit most of the potential for reducing error rates within the data storage workflow, sufficient redundancy must instead be implemented at the sequence level.”
Quote in the paperSubstantial claim - Premisenone given
Reliance on logical redundancy introduced by a combination of modern error-correction codes is sufficient for low error rates.
“Reliance on logical redundancy introduced by a combination of modern error-correction codes is sufficient for low error rates.”
Quote in the paperNot a substantial claim - Premisecitation
Following the original introduction of the inner-outer encoding scheme, the vast majority of subsequent works used such a scheme for DNA data storage.
“Following the original introduction of the inner-outer encoding scheme, the vast majority of subsequent works used such a scheme for DNA data storage.”
Quote in the paperNot a substantial claim0 of 4 sources checked - Premisecitation
Reed-Solomon code was used as an inner code by Grass et al. and Organick et al.
“As an inner code, a Reed–Solomon code was used by Grass et al. and Organick et al.4,70”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
The presence of errors in DNA storage necessitates the use of principled coding/decoding algorithms.
“Therefore, the presence of errors in DNA storage necessitates the use of principled coding/decoding algorithms.”
Quote in the paperSubstantial claim - Premisenone given
The optimal coding schemes depend on the noise profile of the storage system.
“The optimal coding schemes depend on the noise profile of the storage system.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In general, sequence information is never recovered error-free.
“This means that, in general, sequence information is never recovered error-free.”
Quote in the paperSubstantial claim - Premisecitation
For both low and large error rates dominated by deletion errors, one also uses physical redundancy to recover the original information.
“However, both for low and large error rates, dominated by deletion errors, one also uses physical redundancy to recover the original information.”
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- Premisecitation
The original message can be recovered by additionally exploiting physical redundancy.
“Here, the original message can be recovered by additionally exploiting the physical redundancy.”
Quote in the paperNot a substantial claim - Premisenone given
Coding for short unordered sequences remains challenging for very high error rates.
“Also, coding for these short unordered sequences remains challenging for very high error rates.”
Quote in the paperNot a substantial claim - Premisecitation
Synthesis costs for DNA data storage are often undisclosed.
“Often, synthesis costs for DNA data storage are undisclosed;12”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] source
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- Interpretationreasoning
Error correction for DNA remains an active topic of research.
“For these reasons, error correction for DNA remains an active topic of research.”
Quote in the paperNot a substantial claim - Premisereasoning
At this moment an optimal encoding/decoding scheme for long-term DNA storage, or even components of it, remains unknown.
“However, at this moment an optimal encoding/decoding scheme for long-term DNA storage, or even components of it, remains unknown.”
Quote in the paperSubstantial claim - Interpretationreasoning
Arguably, the most important limit to the development of DNA data storage is cost, especially in comparison with standard storage processes.
“Arguably, the most important limit to the development of DNA data storage is cost, especially in comparison with standard storage processes.”
Quote in the paperSubstantial claim - Interpretationreasoning
This has led to a better understanding of efficient use of physical redundancy in DNA data storage.
“This has led to a better understanding of efficient use of physical redundancy in DNA data storage.”
Quote in the paperNot a substantial claim - Premisecitation
The costs of column-based DNA synthesis range between 0.05 to 0.15 USD per nucleotide.
“The costs of this procedure range between 0.05 to 0.15 USD per nucleotide.11”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] source
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- Premisecitation
If a conservative estimate of 1 bit/nucleotide of encoded data is assumed, each terabyte of digital data would cost 800 million USD on average.
“Thus, if a conservative estimate of 1 bit/nucleotide of encoded data is assumed, each terabyte of digital data would cost 800 million USD, on average.12,97”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisenone given
The inner-outer coding scheme works well for moderate error rates of 1-2% and substitutions.
“The inner–outer coding scheme works well for moderate error rates of 1–2% and substitutions.”
Quote in the paperNot a substantial claim - Premisecitation
Optimized error-correcting codes could lower the cost of DNA data storage by increasing the overall efficiency of the storage process by means of accuracy reduction.
“For example, optimized error-correcting codes could lower the cost97,14 by increasing the overall efficiency of the storage process by means of accuracy reduction.12”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
The reading speed of DNA data storage is much lower than standard silicon-based storage media.
“For example, the reading speed is much lower than standard silicon-based storage media.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [97] source
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- Premisecitation
Antkowiak et al. proved that the combination of synthesis processes that produce lower quality DNA oligos (photolithographic synthesis) and appropriate error-correction codes allows a major cost decrease in DNA data archives.
“Thus, Antkowiak et al. proved that the combination of synthesis processes that produce lower quality DNA oligos (i.e., photolithographic synthesis) and appropriate error-correction codes allows a major cost decrease in DNA data archives.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
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- Premisecitation
DNA storage systems' maintenance costs are expected to be lower than those of silicon devices in contemporary data centers.
“In fact, DNA storage systems’ maintenance costs are expected to be lower than the ones of silicon devices in contemporary data centers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
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- Interpretationcitation
Even if a chemical yield of 100% is impossible to achieve in industrial conditions, DNA data storage will be competitive against tape storage (20 USD/TB cost) even at 0.1% chemical yield.
“Even if this chemical yield is impossible to achieve in industrial conditions, DNA data storage will be competitive against tape storage (20 USD/TB cost) even at 0.1% chemical yield.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] source
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- Premisecitation
DNA data storage systems have been proposed for long-term archival purposes that need infrequent reading.
“For these reasons, DNA data storage systems have been proposed for long-term archival purposes97 that need infrequent reading,”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
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- Premisecitation
In nanopore reads of labeled DNA, each label is read in [10-1; 101] ms.
“Conversely, in regards to nanopore reads of labeled DNA, each label is read in [10–1; 101] ms.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationreasoning
The time requirements for the process are another limiting factor in the development of DNA data storage.
“Indeed, the time requirements for the process are another limiting factor in the development of DNA data storage.”
Quote in the paperSubstantial claim - Interpretationcitation
A strategy toward decreasing the costs of stored DNA data may be the enzymatic synthesis of DNA strands.
“A strategy toward decreasing the costs of stored DNA data may be the enzymatic synthesis of DNA strands.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
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- Interpretationnone given
Enzymatic synthesis could, in principle, decrease the costs of reagents even if the required enzymes are still rather expensive.
“This synthesis could, in principle, decrease the costs of reagents even if the required enzymes are still rather expensive.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Considering the enormous disparity in cost between DNA data storage and magnetic tape, the outlook for DNA storage solutions initially appears dismal.
“Considering this enormous disparity in cost between DNA data storage and magnetic tape, the outlook for DNA storage solutions initially appears dismal.”
Quote in the paperNot a substantial claim - Interpretationreasoning
By capitalizing on error-correcting codes, it may be possible to work with cheaper, albeit less reliable, synthesis processes if it is assumed that any synthetic errors can be identified and corrected for upon readout, thereby leading to an overall reduction in cost.
“By capitalizing on error-correcting codes, it may be possible to work with cheaper, albeit less reliable, synthesis processes if it is assumed that any synthetic errors can be identified and corrected for upon readout, thereby leading to an overall reduction in cost.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Any synthetic errors introduced by cheaper, less reliable synthesis processes can be identified and corrected for upon readout.
- Interpretationreasoning
DNA data storage has the potential to drop significantly in cost over time because of several key features.
“That being said, DNA data storage has the potential to drop significantly in cost over time because of several key features.”
Quote in the paperNot a substantial claim - Premisecitation
The costs of enzymatic synthesis would be 1 order of magnitude lower than the phosphoramidite technique if the TdT was recycled.
“Thus, the costs of the enzymatic synthesis would be 1 order of magnitude lower than the phosphoramidite technique if the TdT was recycled.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] source
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- Premisecitation
Because of the noncovalent nature of DNA nanostructures, they can be reconfigured using established strategies, including strand displacement, thermal annealing, and pH changes.
“Because of the noncovalent nature of DNA nanostructures, they can be reconfigured using established strategies, including strand displacement,26 thermal annealing,105 and pH changes.106”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
DNA nanotechnology leverages the molecular recognition motifs of nitrogenous bases to create arbitrary two- and three-dimensional structures from the self-assembly of user-defined DNA strands.
“DNA nanotechnology leverages the unparalleled molecular recognition motifs of the nitrogenous bases to create arbitrary two- and three-dimensional structures from the self-assembly of user-defined DNA strands.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Data written directly into the DNA sequence theoretically allows 1 exabyte (or 1 billion gigabytes) to be stored in every cubic millimeter of DNA.
“While data written directly into the DNA sequence theoretically allows 1 exabyte (or 1 billion gigabytes) to be stored in every cubic millimeter of DNA,107”
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- Premisecitation
The writing speed of DNA data storage is lower than that of standard technologies.
“The writing speed of DNA data storage is lower than that of standard technologies, too.”
Quote in the paperSubstantial claim - Interpretationreasoning
The reconfigurable nature of DNA nanostructures enables their use in data operations and computation, analogous to existing computer memory systems.
“Additionally, the reconfigurable nature of these constructs enables their use in data operations and computation, analogous to existing computer memory systems.”
Quote in the paperSubstantial claim - Interpretationreasoning
Compared with encoding data within the nucleotide sequence itself, data storage based on DNA nanotechnology has one major drawback: data storage density.
“Compared with encoding data within the nucleotide sequence itself, data storage based on DNA nanotechnology has one major drawback: data storage density.”
Quote in the paperNot a substantial claim - Premisecitation
The data density that has been attained so far using DNA secondary structure is much lower because it requires ∼100 base pairs per bit.
“the data density that has been attained so far using DNA secondary structure is much lower because it requires ∼100 base pairs per bit.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] source
Not checked in the free run.
- Interpretationreasoning
Because each bit is formed through self-assembly, it is possible to encrypt information by initially omitting a key element from the assembly mixture; only upon addition of the correct "password" molecule can the DNA-based data be "read."
“Because each bit is formed through self-assembly, it is also possible to encrypt information by initially omitting a key element from the assembly mixture; only upon addition of the correct “password” molecule can the DNA-based data be “read.””
Quote in the paperNot a substantial claim - Interpretationreasoning
When it comes to preservation time, DNA is better than current storage technologies.
“While writing and reading operations regarding DNA-stored data need to be improved, when it comes to preservation time, DNA is better than current storage technologies.”
Quote in the paperSubstantial claim - Premisenone given
It is estimated that DNA data storage will need writing speeds in the order of gigabytes/second to be comparable with commercial cloud storage systems in around 10 years.
“It is estimated that DNA data storage will need writing speeds in the order of gigabytes/second to be comparable with commercial cloud storage systems in around 10 years.”
Quote in the paperNot a substantial claim - Interpretationreasoning
DNA nanotechnology may be employed to overcome the limitations in synthesis and reading.
“DNA nanotechnology may also be employed to overcome the limitations illustrated above in synthesis and reading.”
Quote in the paperSubstantial claim - Interpretationreasoning
When comparing DNA nanostructure data storage to traditional sequence-based methods, the major differences lie in the reading and writing steps.
“When comparing DNA nanostructure data storage to traditional sequence-based methods, the major differences lie in the reading and writing steps.”
Quote in the paperNot a substantial claim - Premisecitation
Single-molecule total internal reflection fluorescence (TIRF) microscopy can decode fluorescent barcodes assembled on DNA nanostructures.
“Through the use of single-molecule total internal reflection fluorescence (TIRF) microscopy, it is possible to decode fluorescent barcodes assembled on DNA nanostructures.120”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [120] source
Not checked in the free run.
- Premisecitation
DNA strands were used as molecular memory by thermally transitioning between a hairpin structure (unwritten state) and a duplex structure (written state).
“In an early example, DNA strands were used as “molecular memory” by transitioning thermally between a hairpin structure (unwritten state) and a duplex structure (written state).118”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [118] source
Not checked in the free run.
- Premisecitation
In polychromic address multiplexing, DNA origami is separated into spatially resolved cells, each containing a set of fluorophores appended to DNA.
“In one approach, termed “polychromic address multiplexing,” DNA origami was separated into spatially resolved “cells,” each of which contained a set of fluorophores appended to DNA.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] source
Not checked in the free run.
- Premisereasoning
Simple structures involving hairpins, loops, or G-quadruplexes placed along linear DNA backbones can also be used to store digital data.
“To this end, simple structures involving hairpins, loops, or G-quadruplexes placed along linear DNA backbones can also be used to store digital data.”
Quote in the paperNot a substantial claim - Premisereasoning
Through the formation of DNA nanostructures with prescribed differences in size, it is possible to encode information and then read this out using the discrete bands formed on a gel.
“Through the formation of DNA nanostructures with prescribed differences in size, it is possible to encode information and then read this out using the discrete bands formed on a gel.”
Quote in the paperNot a substantial claim - Premisecitation
The creation of many loops of different sizes, each distinguishable by gel electrophoresis, offers a greater number of possible bits in each lane.
“The creation of many loops of different sizes, each distinguishable by gel electrophoresis, offers a greater number of possible bits in each lane (Figure 9A).114”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [114] source
Not checked in the free run.
- Premisereasoning
The size and morphology of the resulting structures can be assessed using various ensemble and single-molecule characterization methods, thereby enabling the readout of information stored in the shape and structure of these nanoscale assemblies.
“The size and morphology of the resulting structures can be assessed using various ensemble and single-molecule characterization methods, thereby enabling the readout of information stored in the shape and structure of these nanoscale assemblies.”
Quote in the paperSubstantial claim - Premisenone given
Gel electrophoresis remains one of the key methods to differentiate DNA nanostructures of different shapes and sizes, as well as to assess their yield.
“A first and very simple method to read data is the use of gel electrophoresis, which remains one of the key methods to differentiate DNA nanostructures of different shapes and sizes, as well as to assess their yield.”
Quote in the paperNot a substantial claim - Premisecitation
Bulk fluorescence measurements can read out data encoded into DNA nanostructures.
“Bulk fluorescence measurements can read out data encoded into DNA nanostructures.”
Quote in the paperNot a substantial claim - Premisenone given
The assembly of DNA origami is itself a molecular information encoding process, wherein the long scaffold strand is folded with hundreds of short "staples" to form a predetermined structure.
“In fact, the assembly of DNA origami is, itself, a molecular information encoding process, wherein the long scaffold strand is folded with hundreds of short “staples” to form a predetermined structure (Figure 8).”
Quote in the paperSubstantial claim - Premisecitation
A DNA origami breadboard divided into a grid of pixels or an indexed matrix can encode binary information by the presence ("1") or absence ("0") of a docking site for a fluorophore at each location.
“Another tactic used a DNA origami “breadboard,” which was divided into a grid of pixels or an “indexed matrix of digital information.” Each specific location on the origami represents a bit, with the presence (“1”) or absence (“0”) of a docking site for a fluorophore encoding binary information.22”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
- Premisecitation
Pan et al. used TIRF to group fluorophores into bright ("on") lengths along a DNA origami rod, separated by dark ("off") regions, creating geometric barcodes using only one color of emitter.
“Pan et al. utilized this diffraction-limited imaging technique to devise a method to group fluorophores into bright (“on”) lengths along a DNA origami rod.121 Such bright spots were separated by dark (“off”) regions to create geometric barcodes using only one color of emitter (Figure 9C).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [121] source
Not checked in the free run.
- Premisecitation
Halvorsen and Wong used the change between a closed loop structure ("1") to a linear structure ("0")-which have different elution times by gel electrophoresis-as a binary switch.
“For example, Halvorsen and Wong used the change between a closed loop structure (“1”) to a linear structure (“0”)—which have different elution times by gel electrophoresis—as a binary switch.”
Quote in the paperNot a substantial claim - Premisecitation
In that molecular memory system, fluorophore/quencher pairs cause the fluorescence output to reversibly switch between two defined states, producing a binary signal.
“The oligonucleotides were appended with fluorophore/quencher pairs; as the thermal cycling occurs, the fluorescence output reversibly switches between two defined states to produce a binary signal.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [118] source
Not checked in the free run.
- Premisecitation
Some linkers in polychromic address multiplexing contain photocleavable groups that enable disruption of energy transfer between adjacent dyes, resulting in a fluorescence change.
“Some of these linkers contain photocleavable groups, which enables the disruption of energy transfer processes between adjacent dyes, thus resulting in a fluorescence change.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] source
Not checked in the free run.
- Premisereasoning
Gel electrophoresis, being a bulk measurement, requires substantial quantities of DNA for readout relative to single-molecule methods like AFM, electron microscopies, and nanopore techniques.
“Gel electrophoresis, being a bulk measurement, also requires substantial quantities of DNA for readout relative to single-molecule methods like AFM, electron microscopies, and nanopore techniques.”
Quote in the paperNot a substantial claim - Premisecitation
Docking sites on DNA origami are located using DNA-PAINT, a super-resolution fluorescence imaging method that relies on transient binding of short DNA strands to prepositioned sites on an origami structure.
“Docking sites are located using DNA points accumulation for imaging in nanoscale topography (DNA-PAINT), a form of super resolution fluorescence imaging that relies on transient binding of short DNA strands to prepositioned sites on an origami structure.122”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [122] source
Not checked in the free run.
- Interpretationreasoning
Single-molecule fluorescence methods may be used to read out DNA origami breadboards appended with fluorophores.
“To this end, single-molecule fluorescence methods may be used instead to read out DNA origami breadboards appended with fluorophores.”
Quote in the paperSubstantial claim - Premisecitation
Condensing DNA strands onto carbon nanotubes creates height differences that are observable by AFM.
“AFM is also suitable to look at DNA positioned on other types of nanomaterials; for example, it was found that condensing DNA strands onto carbon nanotubes creates height differences that were observable by AFM (Figure 9B).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] source
Not checked in the free run.
- Premisecitation
Solid-state nanopores combined with DNA nanotechnology have been used to save and encrypt a grayscale image.
“Solid-state nanopores combined with DNA nanotechnology have since been used to save and encrypt a grayscale image.102”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [102] source
Not checked in the free run.
- Premisecitation
Bell and Keyser fabricated DNA barcodes to capture proteins.
“The use of nanopores to read out digital information encoded in DNA nanostructures was demonstrated by Bell and Keyser, who fabricated “DNA barcodes” to capture proteins.21”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] source
Not checked in the free run.
- Premisecitation
The DNA origami breadboard approach uses error-correction algorithms that enable message recovery even when individual docking sites are missing.
“This approach also uses error-correction algorithms that enable message recovery even when individual docking sites are missing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
- Premisereasoning
Current-time traces from nanopore measurements can be analyzed using automated methods, allowing rapid data decoding.
“The resulting current–time traces can then be analyzed using automated methods, which allows for rapid data decoding.”
Quote in the paperNot a substantial claim - Premisecitation
In the DNA origami breadboard approach, unique data patterns are created by selecting which staple strands within the origami possess data domains.
“In this example, unique data patterns are created by selecting which staple strands within the origami possess data domains.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
- Premisecitation
Long DNA backbones as in DNA origami can organize DNA protrusions to produce three-dimensional DNA barcodes or hard drives that may be read using solid-state nanopores.
“More recently, through the use of long DNA backbones as in DNA origami, the organization of DNA protrusions has been used to produce three-dimensional DNA barcodes21 or hard drives that may be read using solid-state nanopores.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] source
Not checked in the free run.
- Premisecitation
The decryption time for the DNA braille method is 1-2 h, including sample processing, imaging, and readout.
“The decryption time for this method is 1–2 h, including sample processing, imaging, and readout—this time could be reduced by using high-speed AFM methods and fully automated image analysis algorithms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
Not checked in the free run.
- Premisenone given
Binary information can be written by precisely placing nanoparticles or proteins at defined positions on a DNA breadboard.
“Binary information can be written by precisely placing nanoparticles or proteins at defined positions on a DNA breadboard.”
Quote in the paperNot a substantial claim - Premisereasoning
Decoding of DNA nanostructures can also be achieved using electron microscopy (EM).
“Relying on similar principles, the decoding of DNA nanostructures can also be achieved using electron microscopy (EM).”
Quote in the paperNot a substantial claim - Premisecitation
Bell and Keyser used conical quartz nanopores with diameters of ∼14 nm for a 3-bit barcode that could be assigned with 94% accuracy.
“The authors used conical quartz nanopores with diameters of ∼14 nm for a 3-bit barcode that could be assigned with 94% accuracy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] source
Not checked in the free run.
- Premisereasoning
Different barcodes can be used to track the cellular uptake of various nanostructures because EM allows for the identification of subcellular compartments.
“Different barcodes can then be used to track the cellular uptake of various nanostructures because EM allows for the identification of subcellular compartments.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [129] source
Not checked in the free run.
- Premisereasoning
EM is better suited to the examination of hybrid structures in which DNA is used to create barcodes made of gold nanoparticles.
“As such, EM is better suited to the examination of hybrid structures, wherein the DNA is used to create “barcodes” made of gold nanoparticles,129 for example.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [129] source
Not checked in the free run.
- Premisecitation
Zhang et al. demonstrated in 2019 a "DNA braille" system prepared by patterning biotinylated overhangs onto DNA origami.
“In the context of DNA data storage, Zhang et al. demonstrated in 2019127 a “DNA braille” system, which was prepared by patterning biotinylated overhangs onto DNA origami.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
Not checked in the free run.
- Premisereasoning
The DNA origami breadboard tactic requires only femtomoles of material.
“Unlike DNA sequencing, which requires multiple reads to reach a consensus, this tactic can read 750 origami to reach a 100% probability of full data retrieval, which means that only femtomoles of material are needed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
- Premisecitation
A single DNA hard drive can be read out on the millisecond time scale using a quartz nanopore because of the superior signal-to-noise ratio compared with DNA sequencing.
“One of the major benefits of this method is their high speed: a single “DNA hard drive” can be read out on the millisecond time scale using a quartz nanopore because of the superior signal-to-noise ratio when compared with DNA sequencing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] source
Not checked in the free run.
- Premisecitation
Through combination of nanopore technology with deep learning methods, real-time nanopore data analysis is attainable.
“Compared with fluorescence, sequencing, or gel electrophoresis-based strategies, single-molecule nanopore measurements require less material and enable faster data reading; through a combination of this technology with deep learning methods,131 real-time nanopore data analysis is attainable.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [131] source
Not checked in the free run.
- Premisecitation
Bošković et al. performed random access of DNA barcodes by exploiting a modified PCR method to increase the number of target DNA nanostructures.
“In their work, random access of DNA barcodes was performed by exploiting a modified PCR method to increase the number of the target DNA nanostructures.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] source
Not checked in the free run.
- Premisenone given
Streptavidin-labeled scaffolds can be used to create a secure data storage system that requires the correct molecular "keywords" to decode the data within the structure.
“Streptavidin-labeled scaffolds can also be used to create a secure data storage system that requires the correct molecular “keywords” to decode the data within the structure (Figure 10A).”
Quote in the paperNot a substantial claim - Premisecitation
Multilevel storage architectures have been achieved using different DNA junction sizes to create a quaternary encoding system.
“Multilevel storage architectures have been achieved using different DNA junction sizes to create a quaternary encoding system (Figure 10B).102”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [102] source
Not checked in the free run.
- Premisecitation
Increased storage density beyond binary barcodes can be achieved by creating blocks of repeating structural units that appear as a single protrusion within the nanopore, creating "structural colors" to generate up to 10 data levels.
“Increased storage density beyond binary barcodes can also be achieved by creating blocks of repeating structural units that appear as a single protrusion within the nanopore, which creates “structural colors” to generate up to 10 data levels.130”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [130] source
Not checked in the free run.
- Premisecitation
Each of those structures had a noncomplementary end that acted as a barcode-specific primer template for the random access of data.
“Each of these structures had a noncomplementary end, which acted as a barcode-specific primer template for the random access of data.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] source
Not checked in the free run.
- Premisecitation
Tabatabaei et al.'s DNA punch cards encode information in the sequence of bases of DNA strands by using their sugar-phosphate backbone topologically.
“The use of double-stranded DNA as a storage medium was also exploited in recent work by Tabatabaei et al.72 on DNA punch cards. This macromolecular storage technology was used to encode the information in the sequence of bases of the DNA strands by using their sugar–phosphate backbone, i.e., topologically.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
- Premisecitation
In Bošković et al.'s structures, DNA structural barcodes were annealed as short oligonucleotides containing protrusions on single-stranded DNA scaffolds to form digital bits at precise locations.
“Indeed, DNA structural barcodes were annealed as short oligonucleotides containing protrusions on single-stranded DNA (ssDNA) scaffolds to form digital bits at precise locations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] source
Not checked in the free run.
- Premisecitation
Synthetic polymers could be prepared using a set of monomers with a wider set of codes, expanding the alphabet for data encoding.
“Although alternative DNA bases have been introduced, synthetic polymers could be prepared using a set of monomers with a wider set of codes which expands the alphabet for data encoding.97”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
Not checked in the free run.
- Premisecitation
On the basis of enzymatic modification of DNA, nicks enable adding functionalities to the DNA punch card storage system, such as single-bit random access, pooling, and in-memory computation.
“On the basis of enzymatic modification of DNA, nicks enable adding several functionalities to the storage system, for example, single-bit random access, pooling, and in-memory computation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
- Premisecitation
First experiments reading single-stranded synthetic biopolymers indicate that the reading step can be performed with biological nanopores without the use of an enzyme slowing down the translocation.
“First experiments reading single-stranded synthetic biopolymers indicate that the reading step can be performed with biological nanopores without the use of an enzyme slowing down the translocation.132”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [132] source
Not checked in the free run.
- Premisecitation
The DNA punch cards system was able to store only up to 14 kB of digital information.
“However, the DNA punch cards system was able to store only up to 14 kB of digital information.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
- Premisecitation
Recent work on DNA computation has moved away from NP-complete problems toward recreating deterministic logical operations, such as addition and multiplication, with definite outcomes.
“Recent work on DNA computation has moved away from such problems toward recreating deterministic logical operations, for example, addition139 and multiplication,140 with definite outcomes.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Random access of DNA barcodes was demonstrated in 2021 by Bošković et al.
“Another important feature is random access, as demonstrated in 2021 by Bošković et al.101”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] source
Not checked in the free run.
- Premisecitation
Three-dimensional nucleic acid nanostructures have successfully been produced inside cells.
“As three-dimensional nucleic acid nanostructures have also successfully been produced inside cells,154 there is potentially important synergy between in vitro/in vivo DNA nanotechnology and data storage, which remains, as of yet, unexplored.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [154] source
Not checked in the free run.
- Premisereasoning
A correctly designed, self-assembling set of these DNA tiles is theoretically able to perform any computation that can be carried out by a conventional computer.
“A correctly designed, self-assembling set of these tiles is theoretically able to perform any computation that can be carried out by a conventional computer.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Although great advances have been made toward DNA data storage, it is not yet competitive against conventional storage technologies.
“Although great advances have been made toward DNA data storage, it is not yet competitive against conventional storage technologies.”
Quote in the paperSubstantial claim - Interpretationnone given
Current DNA sequencing methods would be incompatible with unnatural monomer units, which limits the scope of the methods.
“For data readout, DNA sequencing is rapidly advancing, but current methods would be incompatible with unnatural monomer units, which limits the scope of the methods.”
Quote in the paperSubstantial claim - Interpretationcitation
As alternative chemistries emerge, including unnatural nucleotides and small molecules that can modulate the structure of DNA, the parameter space for structure- and sequence-based DNA data storage is continually expanding.
“Additionally, as alternative chemistries emerge, including unnatural nucleotides147 and small molecules that can modulate the structure of DNA,148 the parameter space for structure- and sequence-based DNA data storage is continually expanding.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
In the 355 SST example, indeterminism can be controllably reintroduced by including a plurality of tiles that could fill a given niche and leaving the ultimately realized pattern up to competition.
“Particularly interesting in the latter example is the ability to controllably reintroduce indeterminism by including a plurality of tiles that could fill a given niche and leaving the ultimately realized pattern up to competition.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [144] source
Not checked in the free run.
- Interpretationreasoning
Because of the long-term stability of DNA under appropriate storage conditions, archival storage will be the most valuable application for DNA data storage.
“Because of the long-term stability of DNA under appropriate storage conditions, we predict that archival storage will be the most valuable application for DNA data storage.”
Quote in the paperNot a substantial claim- Rests on an assumption: DNA has long-term stability under appropriate storage conditions.
- Interpretationreasoning
In archival storage, information would be infrequently accessed from a relatively static DNA database.
“In this cold storage setting, information would be infrequently accessed from a relatively static DNA database.”
Quote in the paperSubstantial claim - Interpretationreasoning
Achieving the storage of TBs of data at a low cost is unattainable with the current techniques.
“Achieving the storage of TBs of data at a low cost is unattainable with the current techniques.”
Quote in the paperSubstantial claim - Interpretationreasoning
Significant challenges need to be overcome for DNA data storage, in particular regarding writing speed and hence cost.
“Significant challenges need to be overcome, in particular regarding writing speed and, hence, cost.”
Quote in the paperSubstantial claim - Premisecitation
Preservation of DNA digital archives can be implemented using not only in vitro substrates but also in vivo approaches.
“It is also important to mention that the preservation of DNA digital archives can be implemented using not only in vitro substrates but also in vivo approaches.150−153”
Quote in the paperNot a substantial claim0 of 3 sources checked
- Classified as probably not a substantial claim. 45
- May combine two claims. 99
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenCurrently, long-term storage is only feasible within a protective material and at DNA loadings of only a few percent.
“Currently, long-term storage is only feasible within a protective material and at DNA loadings of only a few percent.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDNA has a theoretical data density of 6 bits for every 1 nm of polymer, or ∼4.5 × 10^7 GB/g, which is orders of magnitude higher than the densities achievable using traditional devices.
“On the basis of its physical dimensions, DNA has a theoretical data density of 6 bits for every 1 nm of polymer, or ∼4.5 × 107 GB/g,6 which is orders of magnitude higher than the densities achievable using traditional devices.7,8”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationCurrent storage technologies, including optical and magnetic devices, are reaching their information density limits and are not suitable for long-term (>50 years) storage.
“Current storage technologies, including optical and magnetic devices, are reaching their information density limits and are thus not suitable for long-term (>50 years) storage”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationThe dynamic nature of DNA nanostructure assemblies can be exploited to perform data operations, allowing DNA data storage to integrate directly into DNA computation.
“Moreover, the dynamic nature of these assemblies can be exploited to perform data operations,13,27 which allows DNA data storage to integrate directly into the field of DNA computation.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationDe novo synthesis of long sequences of DNA remains challenging, so sequences must be broken into smaller fragments of ∼200 bases, requiring massive numbers of unique DNA sequences.
“Because the de novo synthesis of long sequences of DNA remains challenging,20 these sequences must be broken into smaller fragments (∼200 bases), which requires massive numbers of unique DNA sequences to be made.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenPhosphoramidite synthesis requires the use of anhydrous solvents, which produce toxic waste.
“While there are many advantages to phosphoramidite synthesis, it is worth noting that it requires the use of anhydrous solvents, which produce toxic waste.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWith current technologies, DNA storage is estimated to cost 800 million USD per terabyte of data, whereas tape storage costs approximately 15 USD per terabyte.
“With the use of current technologies, DNA storage is estimated to cost 800 million USD per one terabyte of data (by contrast, tape storage costs approximately 15 USD per terabyte).12”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] source
Not checked in the free run.
May combine two claims.
InterpretationcitationBecause DNA nanotechnology-based approaches capitalize on self-assembly, the resulting structures are inherently reconfigurable, enabling data erasing and rewriting without further synthesis.
“Because DNA nanotechnology-based approaches capitalize on the self-assembly of DNA sequences, the resulting structures are inherently reconfigurable, which enables data erasing and rewriting without further synthesis.26”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] source
Not checked in the free run.
May combine two claims.
Premisenone givenDNA sequencing readout often relies on fluorescence outputs, which require expensive fluorophores, optical equipment, trained personnel, substantial amounts of DNA, and long reading times.
“Sequencing often relies on fluorescence outputs, which require expensive fluorophores, optical equipment, and trained personnel, as well as substantial amounts of DNA and long reading times (Figure 2a,b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningDNA will never become obsolete as a data storage medium.
“As such, DNA will never become obsolete as a data storage medium.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPhotomask arrays have proven to generate high oligonucleotide densities but rely on a series of bespoke photolithographic masks for each set of desired sequences.
“To this end, photomask arrays have proven to generate high oligonucleotide densities;34 however, this technique relies on a series of bespoke photolithographic masks to synthesize a defined set of sequences, that is, masks must be created for each set of desired sequences.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningStructure-based methods eliminate the need for next-generation sequencing, which remains among the most time-consuming aspects of DNA data storage.
“These structure-based methods also eliminate the need for next-generation sequencing, which remains among the most time-consuming aspects of DNA data storage.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationEnzymatic DNA synthesis is expected to become both cheaper and faster than phosphoramidite synthesis for data storage applications.
“this approach is expected to become both cheaper and faster than phosphoramidite synthesis for data storage applications.40”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
May combine two claims.
Premisenone givenSo far, only tiny amounts of data (hundreds of bits) have been stored using enzymatic synthesis versus data consisting of billions of bits using phosphoramidite synthesis.
“So far, only tiny amounts of data (hundreds of bits) have been stored using enzymatic synthesis versus data consisting of billions of bits using phosphoramidite synthesis.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationNguyen et al. produced an electrode array and demonstrated independent electrode-specific control of DNA synthesis with electrode sizes and pitches that enabled a synthesis density of 25 million oligonucleotides/cm2.
“For example, Nguyen et al.35 produced an electrode array and demonstrated independent electrode-specific control of DNA synthesis with electrode sizes and pitches that enabled a synthesis density of 25 million oligonucleotides/cm2 (Figure 3C).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningInformation can be stored in the 3D structures of DNA assemblies instead of in the sequence, with readout relying on imaging techniques or single-molecule nanopore measurements.
“Information can thus be stored in the 3D structures of these assemblies instead of in the sequence, with readout relying on imaging techniques, such as super resolution imaging,22 or using single-molecule nanopore measurements.23,25”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Premisenone givenPCR-based addressing is incompatible with common storage approaches, necessitating removal and re-embedding of the encoding DNA into the storage matrix for each random-access operation.
“Lastly, PCR-based addressing is incompatible with common storage approaches, thus necessitating the removal and re-embedding of the encoding DNA into the storage matrix for each random-access operation.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDNA decay by hydrolysis scales with the number of nucleotides per oligo, so a proportional increase in the expected number of errors is anticipated for longer oligos.
“While both micro- and macroscopic storage systems are independent of sequence length, DNA decay by hydrolysis scales with the number of nucleotides per oligo and, thus, a proportional increase in the expected number of errors is anticipated.73”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [73] source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe use of a physical substrate on which DNA can be arrayed may solve random access, but this approach and similar solutions relying on physical separation of individual oligos or oligo pools render DNA's density advantage obsolete.
“Whereas the use of a physical substrate on which DNA can be arrayed may solve this problem,31 this approach and similar solutions relying on the physical separation of individual oligos or oligo pools render DNA’s density advantage obsolete.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
Not checked in the free run.
May combine two claims.
PremisereasoningPhysical redundancy is achieved by creating many, sometimes inaccurate, copies of each sequence, which enables a consensus to be reached when the data is read.
“Physical redundancy is achieved by creating many, sometimes inaccurate, copies of each sequence, which enables a consensus to be reached when the data is read.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPCR-based random access irreversibly removes oligos from the pool, which necessitates potentially lossy reamplification of the entire pool after repeated data retrieval.
“Second, PCR-based random access irreversibly removes oligos from the pool, which necessitates potentially lossy reamplification of the entire pool after repeated data retrieval.75,76”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Interpretationnone givenDNA barcodes on silica particles would likely decay much faster than the data-encoding DNA within, so random access would cease to function even if the data itself may still be intact.
“While this represents a scalable random access scheme compatible with long-term storage, it is likely that the DNA barcodes on silica particles would decay much faster than the data-encoding DNA within so that random access ceases to function even if the data itself may still be intact.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTwo key constraints of nanopore sequencing are its high error rate and the required sequence length.
“two key constraints of the technology are its high error rate and the required sequence length.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] source
Not checked in the free run.
May combine two claims.
PremisecitationBeyond random access, other file operations such as encryption with genomic keys, erasure on the basis of obfuscation, and rewriting by chemical modification or PCR are also supported by sequence-based DNA data storage.
“Beyond random access, other file operations such as encryption with genomic keys,79 erasure on the basis of obfuscation,80 and rewriting by chemical modification or PCR81,82 are also supported by sequence-based DNA data storage.”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
PremisecitationContrary to SBS, nanopore sequencing is able to identify modified and unnatural nucleotides such that readout of data encoded using an expanded molecular alphabet is possible.
“Contrary to SBS, it is therefore also able to identify modified and unnatural nucleotides such that the readout of data encoded using an expanded molecular alphabet is possible.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenComplete and error-free retrieval of stored data must be guaranteed within a defined set of storage and sequencing conditions for DNA data storage to have commercial relevance.
“the complete and error-free retrieval of stored data must be guaranteed within a defined set of storage and sequencing conditions in order for DNA data storage to have any commercial relevance.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe biotin-based physical separation approach allows the sample to be reused for subsequent retrievals and circumvents nonspecific binding and PCR-induced biases.
“This approach has two key advantages: the sample can be reused for subsequent retrievals and nonspecific binding and PCR-induced biases are circumvented.78”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] source
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PremisecitationStorage mainly contributes to shifts in the copy number distribution of sequences, leading to unrecoverable loss of individual sequences over time, e.g., 8% after 94% of the DNA has decayed (four half-lives).
“storage mainly contributes to shifts in the copy number distribution of the sequences, which leads to the unrecoverable loss of individual sequences over time, e.g., 8% after 94% of the DNA has decayed (i.e., four half-lives).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningThese constraints currently render nanopore sequencing more challenging and slower than SBS.
“These constraints currently render nanopore sequencing more challenging and slower than SBS.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] source
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InterpretationreasoningThe process of combining oligo libraries via Gibson assembly or overlap extension PCR reintroduces difficult-to-automatize steps into the sequencing workflow, calling into question nanopore sequencing's claims of improved portability and ease of automation over SBS.
“This process, usually performed via Gibson assembly or overlap extension PCR,70,81,86 reintroduces several difficult-to-automatize steps into the sequencing workflow, which calls the approach’s claims of improved portability and ease of automation over SBS into question.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe high error rate of nanopore sequencing necessitates clustering of sequence information, higher sequencing coverage, and additional postprocessing of sequencing data.
“necessitates the clustering of sequence information, and thus, higher sequencing coverage and additional postprocessing of sequencing data.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationInsertions are uncommon and usually occur at less than 0.1% per nucleotide, mainly because of synthesis.
“Insertions (addition of extra bases) are uncommon and usually occur at less than 0.1% per nt, mainly because of synthesis.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThe largest data size retrieved using nanopore sequencing is currently about 1.67 MB, compared with around 200 MB for SBS.
“the largest data size retrieved using the technology is currently about 1.67 MB, compared with around 200 MB for SBS.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningThe use of SBS and nanopore sequencing for DNA data storage highlights a current trade-off between sequencing accuracy and cost, with implications for future scalability.
“The use of both state-of-the-art SBS and rapidly developing nanopore sequencing for DNA data storage highlights the current trade-off between sequencing accuracy and cost, as well as implications for future scalability.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationGrass et al.'s encoding/decoding algorithm uses an outer code that can correct for loss of sequences, adds an index for each sequence to retrieve order, and uses an inner error-correcting code that can correct nucleotide errors within sequences.
“It uses an outer code that can correct for the loss of sequences, adds an index for each sequence to be able to retrieve the order of the sequences that are lost during storage, and uses an inner error-correcting code that can correct nucleotide errors within sequences.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe maximal information rate that an error-correcting code can achieve is theoretically bounded by the channel capacity, which depends on the characteristics of the noisy channel.
“The maximal information rate that an error-correcting code can achieve is theoretically bounded.89 This bound is known as the channel capacity and depends on the characteristics of the noisy channel.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [89] source
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PremisecitationReed-Solomon code, Fountain codes, and LDPC code were used as an outer code.
“A Reed–Solomon code,4,44,70 Fountain codes,14 and LDPC (low-density parity check) code were used as an outer code.91”
Quote in the paperNot a substantial claim0 of 5 sources checkedMay combine two claims.
PremisecitationGoldman et al. used an error-correction code where each part of the information was written on four subsequent DNA sequences, so loss of sequences could be corrected if fewer than four subsequent sequences were lost.
“A simple example of an error-correction code was used by Goldman et al.,9 where each part of the information was written on four subsequent DNA sequences. Thus, the loss of sequences could be corrected if fewer than four subsequent sequences were lost.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] source
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PremisecitationGoldman et al.'s coding scheme was ill-suited for the used DNA channel because it had a low effective information rate and did not recover the whole message.
“This coding scheme, however, was ill-suited for the used DNA channel because it had a low effective information rate, i.e., number of information bits per total number of encoded bits, and did not recover the whole message.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] source
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PremisecitationIncreasing physical redundancy to cluster sequence information alleviates the problem of sequence loss and errors but is undesirable and inefficient because it drastically lowers information density.
“While an increase of physical redundancy to cluster sequence information alleviates this problem, doing so is undesirable and inefficient because it drastically lowers the information density.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] source
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PremisereasoningIn general, the outer code applies on the level of the original information, whereas the inner code protects single sequences or indices.
“In general, the outer code applies on the level of the original information, whereas the inner code protects single sequences or indices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Reed-Solomon code can correct up to e erasures and s substitutions with 2s + e additional symbols.
“For example, the Reed–Solomon code can correct up to e erasures and s substitutions with 2s + e additional symbols.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] Roth R., 2006 source
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PremisereasoningDifferent codes were used for the outer and inner codes.
“However, different codes were used for the outer and inner codes.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe inner-outer coding scheme cannot correct large error rates dominated by insertions and deletions because no inner codes exist that work sufficiently well on short sequences in these noisy setups.
“However, it cannot correct large error rates that are dominated by insertions and deletions. This is because no inner codes exist that work sufficiently well on short sequences in these noisy setups.92”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] source
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Premisenone givenThe synthesis of DNA oligos for data storage was column-based and developed in the 1980s; since then, this process has been fully automated and now allows synthesis of 96-384 oligos simultaneously.
“The synthesis of DNA oligos for data storage was column-based and was developed in the 1980s. Since then, this process has been fully automated, and now it allows the synthesis of 96–384 oligos simultaneously.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBlawat et al. proposed to protect the index separately with a bit-correcting code (BCH) as the inner code.
“Blawat et al. proposed to protect the index separately with a bit-correcting code (BCH) as the inner code.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] source
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PremisecitationDNA has become a promising tool for next-generation data storage since it provides high data capacity and storage density and can be stored in multiple ways over significant time periods.
“DNA has become a promising tool for next-generation data storage since it provides high data capacity and storage density78 and it is possible to store it in multiple ways37 over significant time periods.4”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Interpretationnone givenTo make DNA data storage standard, some limitations must be overcome.
“However, in order to make DNA data storage standard, some limitations must be overcome.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenDifferent synthesis and sequencing techniques might motivate different approaches.
“Furthermore, different synthesis and sequencing techniques might motivate different approaches.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationRecent works have explored efficient clustering methods tailored to DNA data storage and efficient encoding schemes that allow recovery of a sequence from multiple noisy reads.
“Recent works have explored the development of efficient clustering methods tailored to DNA data storage, as well as efficient encoding schemes that allow the recovery of a sequence from multiple noisy reads.93−96”
Quote in the paperNot a substantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThe capacity of deletion and insertion channels or reconstruction from multiple reads with the combination of different errors are not fully understood yet.
“For example, the capacity of deletion and insertion channels or reconstruction from multiple reads with the combination of different errors are not fully understood yet.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSuch codes could be used as an inner code.
“Such codes could then be used as an inner code.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningArray-based synthesis processes were developed in the 1990s and lowered costs because of their high-throughput nature, with an average price per nucleotide down to 10-4 USD.
“Array-based synthesis processes were developed in the 1990s. They lowered the costs because of their high-throughput nature, with an average price per nucleotide down to 10–4 USD.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn Antkowiak et al., noisy sequences were first clustered by similarity, then information on multiple erroneous copies was combined to construct a sequence with fewer errors via alignment and majority voting.
“For example, in Antkowiak et al.,42 the noisy sequences were first clustered by similarity, then the information on multiple erroneous copies was combined to construct a sequence with fewer errors. This was achieved by an alignment step within the clusters and subsequent majority voting.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
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PremisecitationThe total costs of synthesizing 1000 strands of 1000 nucleotide length would be 136 USD with recycled TdT, 2700 USD by phosphoramidite technique, and 136,000 USD if a fresh stock of TdT was introduced at every cycle.
“The total costs of synthesizing 1000 strands of 1000 nucleotide length would be 136 USD with recycled TdT, 2700 USD by phosphoramidite technique, and 136 000 USD if a fresh stock of TdT was introduced at every cycle.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [100] source
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PremisecitationTape storage costs 7-8 orders of magnitude less than DNA data storage, about 16 USD/TB, with prices decreasing by 10% every year.
“In comparison, tape storage costs 7–8 orders of magnitude less, i.e., about 16 USD/TB of data, with prices decreasing by 10% every year”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationTang et al.'s strategy allowed the enhancement of the coding rate to more than log2 3 per unit time and avoidance of deletions.
“This strategy allowed the enhancement of the coding rate to more than log23 per unit time and avoidance of deletions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Tang Y., 2021
Not checked in the free run.
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Interpretationnone givenAutomation could possibly lead to a reduction of the time costs for DNA data storage.
“Besides economic costs, automation could possibly lead to a reduction of the time costs for DNA data storage, as well.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenEnzymatic synthesis occurs in aqueous environments and yields longer strands; however, error rates need to be assessed.
“It occurs in aqueous environments and it yields longer strands; however, error rates need to be assessed.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThis could be detrimental, especially when the only possible alternative to retrieve a file would be to read the entire database: it would be a very slow process.
“This could be detrimental, especially when the only possible alternative to retrieve a file would be to read the entire database: it would be a very slow process.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIn the 0.1% chemical yield case, the cost of photolithographic DNA storage would be ∼10 USD/TB, and synthesis conditions would be similar to surface chemistry (1000× reagent excess), demonstrating that optimization of chemical DNA synthesis processes is compatible with DNA data storage applications.
“In the latter case, the cost of photolithographic DNA storage would be ∼10 USD/TB, and synthesis conditions would be similar to the one used in surface chemistry (1000× reagent excess), which demonstrates that an optimization of chemical DNA synthesis processes is compatible with DNA data storage applications.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] source
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PremisecitationIn 2020, Antkowiak et al. proposed that synthesis costs will drop to around 10^6 USD/TB (2-3 orders of magnitude reduction) as a result of improved synthesis strategies, including large parallelization, optimization of reagents, and combination of nonvolatile DNA-based memories with logical operations.
“In 2020, Antkowiak et al. proposed that synthesis costs will drop to around 106 USD/TB (i.e., 2–3 orders of magnitude reduction) as a result of improved synthesis strategies, including large parallelization, optimization of reagents, and combination of nonvolatile DNA-based memories with logical operations”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
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PremisecitationThe combination of advanced error-correcting codes and synchronization algorithms could possibly achieve lower costs of enzymatic DNA synthesis, as recently reported by Tang et al.
“The combination of advanced error-correcting codes and synchronization algorithms could possibly achieve lower costs of enzymatic DNA synthesis, as recently reported by Tang et al.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tang et al.
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PremisecitationAntkowiak et al. estimated that with photolithography to synthesize 10,000 copies of each oligo, a nucleotide reagent cost of 100 USD/g, and a logical density equal to 1 bit/nucleotide, the cost of 1 TB of data stored in DNA would be ∼10-2 USD, with a chemical yield of 100%.
“With the use of photolithography to synthesize 10 000 copies of each oligo, with a nucleotide reagent cost of 100 USD/g and a logical density equal to 1 bit/nucleotide, the cost of 1 TB of data stored in DNA would be ∼10–2 USD, with a chemical yield of 100%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
Not checked in the free run.
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InterpretationcitationThis is another pivotal reason for investigations about synthetic polymers as data storage tools, together with the mentioned high cost of DNA.
“This is another pivotal reason for the investigations about synthetic polymers as data storage tools, together with the mentioned high cost of DNA.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
Not checked in the free run.
May combine two claims.
PremisecitationThe current writing speed for DNA archives is in the order of kilobytes/second, thus a reading/writing cycle has a significant cost in terms of time.
“The current writing speed for DNA archives is in the order of kilobytes/second, thus a reading/writing cycle has a significant cost in terms of time.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenThe maximum preservation time of information is 50 years for digital memories and 500 years for paper, while it is millennia for inorganic matrix-encapsulated DNA.
“Indeed, the maximum preservation time of information is 50 years for digital memories and 500 years for paper, while it is millennia for inorganic matrix-encapsulated DNA.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningDNA data storage presents both advantages and disadvantages with respect to traditional storage methods regarding costs.
“In conclusion, DNA data storage presents both advantages and disadvantages with respect to traditional storage methods regarding costs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningConsidering the advantages of encoding information into the secondary structure-including ease of readout, synthetic simplicity, and reconfigurability-this is a minor obstacle and one that may be mitigated through the careful design of DNA nanostructures.
“Considering the advantages of encoding information into the secondary structure—including ease of readout, synthetic simplicity, and reconfigurability—this is a minor obstacle and one that may be mitigated through the careful design of DNA nanostructures.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBecause of the self-assembled nature of DNA nanostructures, it is possible to significantly reduce the synthetic demand and to eliminate the need for next-generation sequencing for DNA data storage.
“Because of the self-assembled nature of DNA nanostructures (Figure 8), it is possible to significantly reduce the synthetic demand and to eliminate the need for next-generation sequencing for DNA data storage.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningThrough careful design of the sequences of these strands, exquisite control over their final assembly can be realized, enabling construction of nanoscale shapes and patterns.
“Through careful design of the sequences of these strands, which can be easily synthesized in an automated manner or even purchased from commercial vendors, exquisite control over their final assembly can be realized, thereby enabling the construction of nanoscale shapes and patterns.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDNA data storage must fulfill a gap of 6 orders of magnitude in regard to writing (synthesis) and a gap of 2-3 orders of magnitude in regard to reading (sequencing).
“This means DNA data storage must fulfill a gap of 6 orders of magnitude in regard to the writing (i.e., synthesis) and a gap of 2–3 orders of magnitude in regard to the reading (i.e., sequencing).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] source
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Premisenone givenDNA origami is the most widely used method for the construction of DNA-based data storage structures at the nanoscale.
“Among these, DNA origami is the most widely used method for the construction of DNA-based data storage structures at the nanoscale.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe main approaches in structural DNA nanotechnology can be divided into three groups: DNA origami, DNA tile assembly, and wireframe DNA structures.
“The main approaches in structural DNA nanotechnology can be divided into three groups: DNA origami, DNA tile assembly, and wireframe DNA structures,104”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [104] source
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PremisereasoningThis density is still approximately 3 orders of magnitude higher than current hard drive technologies, with further improvements conceivable through the optimization of the 3D DNA structure.
“That being said, this density is still approximately 3 orders of magnitude higher than current hard drive technologies, with further improvements conceivable through the optimization of the 3D DNA structure.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationReversible Watson-Crick base pairing means that data storage platforms based on DNA nanostructures can be erased and rewritten multiple times without requiring laborious chemical synthesis, which decreases the synthetic demand and cost associated with these methods.
“The reversible Watson–Crick base pairing means that, unlike data encoded directly into the primary DNA sequence, data storage platforms based on DNA nanostructures can be “erased” and “rewritten” multiple times without requiring any laborious chemical synthesis, which decreases the synthetic demand and cost associated with these methods.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] source
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Premisenone givenAll of these bottom-up approaches enable the production of asymmetric patterns, which is a key criterion for data storage applications: instead of encoding information directly into the sequence of bases, data may be stored in the three-dimensional shape of these assemblies.
“Importantly, all of these bottom-up approaches enable the production of asymmetric patterns, which is a key criterion for data storage applications: instead of encoding information directly into the sequence of bases, data may be stored in the three-dimensional shape of these assemblies.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenStandard DNA data storage requires slow and costly DNA synthesis, while DNA nanostructures already store molecular data in two- and three-dimensional objects.
“In particular, standard DNA data storage requires slow and costly DNA synthesis, while DNA nanostructures already store molecular data in two- and three-dimensional objects.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe switch between two possible intensity values provides the binary logic in polychromic address multiplexing.
“The switch between two possible intensity values provides the binary logic in this system.119”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] source
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PremisecitationIn an alternative approach, five single-stranded nucleotides were annealed together to form an assembly with three addressable overhangs; when complementary strands to each of these overhangs were introduced, the site changed from a "0" (single-stranded) to a "1" (double-stranded) state, which could then be reversed using strand displacement.
“In an alternative approach, five single-stranded nucleotides were annealed together to form an assembly with three addressable overhangs; when complementary strands to each of these overhangs were introduced, the site changed from a “0” (single-stranded) to a “1” (double-stranded) state, which could then be reversed using strand displacement.115”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] source
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InterpretationreasoningBecause the molecular memory process is performed in solution, the whole memory is erased simultaneously, highlighting the need for alternative strategies that enable spatial addressability.
“Unfortunately, because this process is performed in solution, the whole memory is erased simultaneously, which highlights the need for alternative strategies that enable spatial addressability.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThese examples highlight the simple and inexpensive nature of gel electrophoresis as a readout platform, especially when compared with optical, electrochemical, and AFM-based methods.
“These examples highlight the simple and inexpensive nature of gel electrophoresis as a readout platform, especially when compared with optical, electrochemical, and AFM-based methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHalvorsen and Wong used electrophoresis to demonstrate the readout of an 11 byte ASCII message.
“The authors used electrophoresis to demonstrate the readout of an 11 byte ASCII message.113”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [113] source
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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningBecause the single-molecule readout methods used for the assessment of DNA nanostructures are also used in DNA sequencing, these techniques are constantly improving; in this way, the advancement of sequence-based DNA data storage also supports the growth of alternative, structure-based approaches.
“Additionally, because the single-molecule readout methods used for the assessment of DNA nanostructures are also used in DNA sequencing, these techniques are constantly improving: in this way, the advancement of sequence-based DNA data storage also supports the growth of alternative, structure-based approaches.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningUse of this suite of techniques has the advantage that, depending on the design and physical attributes of the data storage structure, it may be possible to perform more than one type of characterization; comparing results of different readout methodologies may allow identification of systematic biases in each modality, generating a feedback cycle wherein structures may be improved upon and re-
“Depending on the design and the physical attributes of the data storage structure, it may be possible to perform more than one type of characterization. Comparing the results of different readout methodologies may allow for the identification of systematic biases in each modality, which generates a feedback cycle wherein structures may be improved upon and recharacterized.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe relatively long read times and low data capacity of these methodologies limit their applicability.
“However, the relatively long read times and low data capacity of these methodologies limit their applicability.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenNanopore methods require no labeling for readout, making them an attractive alternative to fluorescence.
“Nanopore methods require no labeling for readout, which makes them an attractive alternative to fluorescence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFan et al. used AFM to decode information stored in DNA domino arrays.
“Similarly, Fan et al. used AFM to decode information stored in DNA domino arrays.127”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
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PremisecitationQuartz nanopores can read out DNA hairpins along a carrier strand with a density of approximately 1 bit per 30 nm, about 3 times the data density of conventional hard drives.
“Now, these quartz nanopores can read out DNA hairpins along a carrier strand with a density of approximately 1 bit per 30 nm—ca. 3 times the data density of conventional hard drives.25”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] source
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PremisereasoningIn nanopore measurements, an electric field causes molecules to translocate through a nanoscale hole, and the analyte modulates the ionic current by blocking the pore, translating the DNA nanostructure into an electrical signal.
“Briefly, an electric field is applied across a nanoscale hole (made from glass or Si3N4, for example), which causes molecules to translocate through this nanopore. As the analyte passes, it modulates the ionic current signal because of its 3D shape blocking the pore—in this way, the structure of the DNA nanoconstruct is translated directly into an electrical signal (Figure 10).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenDNA is difficult to visualize using EM because of insufficient electron density-related contrast, and therefore often requires staining.
“DNA itself can be difficult to visualize using EM because of insufficient electron density-related contrast, and therefore, often requires staining.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAFM measurements detect differences in height over a sample surface without affecting the sample, making AFM ideally suited to reading out three-dimensional patterns on DNA origami.
“AFM measurements detect differences in height over a sample surface, without affecting the sample, thus rendering this method ideally suited to reading out three-dimensional patterns on DNA origami.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn the DNA braille system, the data are encrypted; only when streptavidin is added and binds to biotin does the pattern become readable by AFM.
“The data in this system are encrypted; only when streptavidin is added and binds to biotin does the pattern become readable by AFM.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
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PremisereasoningEM allows high-resolution two- and three-dimensional images of DNA nanostructures but is time-consuming, expensive, and relatively low-throughput.
“EM exhibits some of the same advantages and pitfalls of AFM: while these techniques allow for high-resolution two- and three-dimensional images to be formed of DNA nanostructures, they are time-consuming and expensive, as well as relatively low-throughput.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationUnlike DNA sequencing, which requires multiple reads to reach a consensus, the DNA origami breadboard tactic can read 750 origami to reach a 100% probability of full data retrieval.
“Unlike DNA sequencing, which requires multiple reads to reach a consensus, this tactic can read 750 origami to reach a 100% probability of full data retrieval, which means that only femtomoles of material are needed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
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PremisecitationAtomic force microscopy (AFM) was used to read out images formed by DNA origami and remains a key technique for the study of DNA-based nanomaterials.
“Atomic force microscopy (AFM) was used to “read-out” images formed by DNA origami, and this remains a key technique for the study of DNA-based nanomaterials.126”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [126] source
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PremisecitationIn DNA punch cards, a pattern of nicking positions is realized on the backbone of native dsDNA, and information is encoded by absence (0) or presence (1) of nicks.
“Indeed, a pattern of nicking positions was precisely realized on the backbone of native dsDNA, and here, information was encoded by means of absence (i.e., 0) or presence (i.e., 1) of nicks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
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PremisereasoningIn a DNA computer, each DNA molecule plays the part of a separate processor, enabling many parallel operations to be carried out in a small reaction volume.
“In a DNA computer, however, each DNA molecule plays the part of a separate processor, which enables many parallel operations to be carried out in a small reaction volume.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCao et al. used informational biopolymers composed of a backbone of poly(phosphodiesters) with dideoxyadenosine at both ends, and engineered-aerolysin nanopores.
“As an example, Cao et al. used informational biopolymers composed of a backbone of poly(phosphodiesters) with dideoxyadenosine at both ends, and engineered-aerolysin nanopores.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApart from DNA, other organic molecules have been proposed for data storage, including peptide sequences and urethanes.
“Apart from DNA, other organic molecules have been recently proposed.133,134 Two interesting examples are the use of peptide sequences for data storage, as reported by Ng et al.133 and the use of urethanes as reported by Dahlhauser et al.134”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdleman developed a working prototype for a DNA computer in 1994, using a separation-based approach to calculate a Hamiltonian path in a graph with seven summits.
“A working prototype for a DNA computer was developed by Adleman in 1994,136 wherein he used a separation-based approach to calculate a Hamiltonian path in a graph with seven summits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [136] source
Not checked in the free run.
May combine two claims.
PremisecitationThe Adleman experiment acted as a proof of concept, but in practice the process was more time- and labor-intensive than a conventional digital approach.
“The Adleman experiment acted as a proof of concept: in practice, the process was more time- and labor-intensive than a conventional digital approach.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [136] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThis DNA computing strategy greatly accelerates the initial path search, as statistics predict that DNA constructs corresponding to every possible path should be produced upon mixing.
“This strategy greatly accelerates the initial path search, as statistics predict that DNA constructs corresponding to every possible path should be produced upon mixing.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSu et al. produced DNA logic cascades that allow the buildup of a full adder, a 4:1 multiplexer, and, combined with other logic circuits, a DNA arithmetic logic unit (ALU), the foundation of general-purpose processors.
“Su et al. produced DNA logic cascades, which allows the buildup of a full adder, a 4:1 multiplexer, and then, they combined these with other logic circuits to produce a DNA arithmetic logic unit (ALU): the foundation of general-purpose processors.139”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [139] source
Not checked in the free run.
May combine two claims.
Premisenone givenSynthetic polymers can be used to increase stability against chemical degradation while offering a wide range of base modifications.
“Synthetic polymers can be used to increase stability against chemical degradation while offering a wide range of base modifications.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn those structures, DNA nicks were ligated to favor the copy of the barcode by PCR.
“In these structures, DNA nicks were ligated to favor the copy of the barcode by PCR.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] source
Not checked in the free run.
May combine two claims.
PremisecitationThe results of Cao et al. suggest a path to single-bit resolution at least in short polymers, but machine learning and training are needed for successful readout.
“The results suggest a path to single-bit resolution at least in short polymers, however machine learning and training are needed for the successful readout.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenBecause DNA nanostructures are noncovalent, these materials are primed for use in molecular computation.
“Because of the noncovalent nature of DNA nanostructures, these materials are primed for use in molecular computation.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenCompared with fluorescence, sequencing, or gel electrophoresis-based strategies, single-molecule nanopore measurements require less material and enable faster data reading.
“Compared with fluorescence, sequencing, or gel electrophoresis-based strategies, single-molecule nanopore measurements require less material and enable faster data reading; through a combination of this technology with deep learning methods,131 real-time nanopore data analysis is attainable.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn both peptide and urethane data storage cases, reading required the use of mass spectroscopy, with consequent limitations in costs and speed.
“Unfortunately in both these cases, reading required the use of mass spectroscopy, with the consequent limitation in terms of costs and speed.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningThese chemistries widen the breadth of materials that can be produced and may further extend the lifetime of DNA sequences, as these modifications render DNA less recognizable to enzymes.
“Importantly, these chemistries not only widen the breadth of materials that can be produced, but also may further extend the lifetime of DNA sequences, as these modifications render DNA less recognizable to enzymes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenIn terms of synthesis, DNA nanotechnology greatly simplifies assembly procedures and produces structures that can easily be reconfigured.
“In terms of synthesis, DNA nanotechnology greatly simplifies assembly procedures and produces structures that can easily be reconfigured.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe current record for DNA digital data storage is still around 200 MB, with single synthesis runs lasting about 24 h.
“While stored data size has been markedly increased, the current record for DNA digital data storage is still around 200 MB, with single synthesis runs lasting about 24 h.8,12”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationThere is potentially important synergy between in vitro/in vivo DNA nanotechnology and data storage, which remains unexplored.
“As three-dimensional nucleic acid nanostructures have also successfully been produced inside cells,154 there is potentially important synergy between in vitro/in vivo DNA nanotechnology and data storage, which remains, as of yet, unexplored.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [154] source
Not checked in the free run.
May combine two claims.
PremisecitationRobust, rigid DNA tiles with programmable "sticky ends" have been made using double-crossover (DX), triple-crossover (TX), and single-stranded tile (SST) motifs and used for algorithmic self-assembly experiments.
“Robust, rigid DNA tiles with programmable “sticky ends” have been made using double-crossover (DX),141 triple-crossover (TX),142 and single-stranded tile (SST)143 motifs and used for a variety of algorithmic self-assembly experiments.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPast applications of DNA tile self-assembly include TX tiles carrying out a cumulative XOR operation, DX tiles self-assembling into a Sierpinski triangle, and 355 SSTs producing cellular automata capable of computational tasks.
“Past applications of this idea include the design of a set of TX tiles that carry out a cumulative XOR operation, a set of DX tiles that self-assemble into a Sierpinski triangle, and impressively, a set of 355 SSTs that can be used to produce a variety of cellular automata capable of carrying out a number of computational tasks (Figure 11).144”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [144] source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenDNA data storage-both the sequence- and structure-based versions-offers the possibility of storing digital information at very high data density.
“DNA data storage—both the sequence- and structure-based versions—offers the possibility of storing digital information at very high data density.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDNA nanostructures may present advantages over traditional sequence-based storage methods for dynamic properties, as the reconfiguration of these supramolecular moieties is firmly established, though rarely in the context of information storage.
“In this area, DNA nanostructures may present advantages over traditional sequence-based storage methods, as the reconfiguration of these supramolecular moieties is firmly established, though rarely in the context of information storage.”
Quote in the paperSubstantial claim- Rests on an assumption: The reconfiguration of DNA supramolecular moieties is firmly established.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA DNA database would benefit greatly from dynamic properties that allow data to be erased, rewritten, and updated.
“Even in the context of archival storage, a DNA database, like its electronic analogues, would benefit greatly from dynamic properties that allow data to be erased, rewritten, and updated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningIn-storage file operations and computations, as well as the ability to repeatedly access DNA databases, would reduce DNA synthesis costs and abrogate the need to store multiple copies of archives.
“For example, in-storage file operations and computations, as well as the ability to repeatedly access DNA databases, would reduce DNA synthesis costs and abrogate the need to store multiple copies of archives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenAll current DNA sequencing techniques require molecular machines like polymerases, which set fundamental limits for the throughput per enzyme, meaning there is an upper threshold on the rate of sequencing even with massive parallelization.
“Furthermore, all current DNA sequencing techniques require molecular machines like polymerases, which set fundamental limits for the throughput per enzyme, thereby meaning there is an upper threshold on the rate of sequencing even with massive parallelization.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe logical equivalence of these DNA tiles with Wang tiles facilitates their use; Wang tiles are theoretical constructs with specified interactions that can simulate a Turing machine.
“This is facilitated by the logical equivalence of these tiles with Wang tiles, which are theoretical constructs with specified interactions that can simulate a Turing machine.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenAs the chemical and enzymatic processes for making sequence-defined nucleic acids continue to improve, the cost and time associated with writing DNA-based information is continually decreasing.
“As the chemical and enzymatic processes for making sequence-defined nucleic acids continue to improve, the cost and time associated with writing DNA-based information is continually decreasing.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenBoth natural and chemically modified oligonucleotides, as well as hybrid nanostructures involving DNA and quantum dots or nanoparticles, may be read out using solid-state nanopores.
“Both natural and chemically modified oligonucleotides, as well as hybrid nanostructures involving DNA and quantum dots or nanoparticles, may be read out using solid-state nanopores.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese improvements are particularly important for sequence-based storage but also reduce costs for structure-based approaches.
“These improvements are particularly important for sequence-based storage, but they importantly reduce costs for structure-based approaches, as well.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA combination of sequence- and structure-based approaches could represent a significant advancement to overcome the various hurdles associated with DNA data storage.
“A combination of sequence- and structure-based approaches could represent a significant advancement to overcome the various hurdles associated with DNA data storage.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningLong-term archival storage operates over long time scales-decades, centuries, and possibly millennia-and requires only infrequent access, which substantially reduces the impact of reading costs and long read times associated with DNA data storage.
“Considering that long-term, archival storage97 operates over long time scales—decades, centuries, and possibly millennia—this application requires only infrequent access to the stored information, which substantially reduces the impact of reading costs and long read times associated with DNA data storage.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [97] source
Not checked in the free run.
The authors state this as an assumption.
Any synthetic errors introduced by cheaper, less reliable synthesis processes can be identified and corrected for upon readout.
“if it is assumed that any synthetic errors can be identified and corrected for upon readout”
The paper relies on this without support.
DNA has long-term stability under appropriate storage conditions.
“While the long-term stability of DNA, itself, is firmly established, further studies on the lifetimes of noncovalently assembled DNA nanostructures will need to be conducted to ensure that data stored in these formats are not compromised over time.”
The paper relies on this without support.
The reconfiguration of DNA supramolecular moieties is firmly established.
“In this area, DNA nanostructures may present advantages over traditional sequence-based storage methods, as the reconfiguration of these supramolecular moieties is firmly established, though rarely in the context of information storage.”
The paper relies on this without support.
Current DNA sequencing techniques require molecular machines like polymerases, which set fundamental limits on throughput per enzyme.
“Furthermore, all current DNA sequencing techniques require molecular machines like polymerases, which set fundamental limits for the throughput per enzyme, thereby meaning there is an upper threshold on the rate of sequencing even with massive parallelization.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current research focuses on increasing DNA data storage density and preservation time by protecting DNA from high humidity and oxygen.
“Therefore, current research focuses on increasing the DNA data storage density and the time of its preservation by protecting DNA from the influence of high humidity and the presence of oxygen [37].”
From DNA Data Storage. (2023) · cites this paper as [37]
The “Storage and Degradation Issues” section says DNA storage approaches protect against moisture and oxygen to enable long-term preservation, and it identifies a need for systems closer to DNA’s true storage density. But it says protective materials currently reduce storage density by 1–3 orders of magnitude; it does not support the claim that protection itself increases density. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe most commonly used platforms for sequencing data-encoding DNA are Next-Generation Sequencing by Illumina and Third Generation Sequencing by Oxford Nanopore Technology.
“Currently, the most commonly used platforms for the sequencing of data-encoding DNA are Next-Generation Sequencing by Illumina sequencing and Third Generation Sequencing by Oxford Nanopore Technology [37].”
From DNA Data Storage. (2023) · cites this paper as [37]
At the moment, for DNA data storage purposes, the most commonly used sequencing method is Illumina.
“Therefore, at the moment, for DNA data storage purposes, the most commonly used is Illumina sequencing [37].”
From DNA Data Storage. (2023) · cites this paper as [37]
Nanopore has lower accuracy compared to Illumina; error rates are ∼10% per nucleotide in single read-out for Nanopore and ∼0.5% per nucleotide for Illumina, making Nanopore approximately 20 times less accurate.
“However, Nanopore also has some limitations, for instance, lower accuracy compared to Illumina. In fact, a direct comparison of the error rates of Nanopore (∼10% per nucleotide in single read-out) and of Illumina (∼0.5% per nucleotide) shows that Nanopore technology is approximately 20 times less accurate.”
From DNA Data Storage. (2023) · cites this paper as [37]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Figure 3C is assigned two different synthesis methods
MinorThe text points to Figure 3C for an electrode array, but the figure caption identifies panel C as enzymatic synthesis.
“For example, Nguyen et al.35 produced an electrode array and demonstrated independent electrode-specific control of DNA synthesis with electrode sizes and pitches that enabled a synthesis density of 25 million oligonucleotides/cm2 (Figure 3C).”
“(C) Enzymatic methods relying on T4rnl ligase or TdT can also be used to specifically add bases to a growing oligonucleotide in aqueous environments, which eliminates the need for organic solvents.”
Long-term storage is said to require only a few percent DNA loading
MinorThe statement conflicts with Table 1's salt-matrix approach, which lists a 750-year half-life at 10 °C and 20% DNA loading.
“Currently, long-term storage is only feasible within a protective material and at DNA loadings of only a few percent.”
“| salt matrices | 750 | 20% | 3400 | (62) |”
Stated 1-3-order storage-density loss conflicts with Table 1
MinorThe text describes a 1-3-order-of-magnitude density loss for storage approaches, but Table 1 gives 17,000 PB/g for dried DNA and 0.0034 PB/g for a DNAshell-a five-million-fold loss.
“Generally, all storage approaches trade long-term stability with a decrease in storage density by 1–3 orders of magnitude, caused by the low loading ratio between DNA and carrier (see Table 1).”
“| dried | 7 | 100% | 17 000 | (66) | | bone | 1700 | 0.05% | 8.5 | (54,62) | | DNAshellc | >100 000 | 0.000 02% | 0.0034 | (58,68) |”
Nanopore sequencing is assigned to the wrong Figure 5 panel
MinorThe text directs readers to Figure 5C for nanopore sequencing, while the caption identifies the Oxford Nanopore panel as Figure 5B.
“As an alternative, sequencing using protein nanopores, commercialized by Oxford Nanopore Technologies, has been used because of its ease of implementation, automation, and portability (Figure 5C).”
“(B) Oxford Nanopore measurements do not require fluorescent dye molecules.”
Table assumes a DNA information density above the stated theoretical density
MinorThe introduction gives a theoretical density of about 4.5 × 107 GB/g (45 PB/g), while Table 1 assumes 17 EB/g (17,000 PB/g) for DNA. The table's assumed density is roughly 378 times the stated theoretical density.
“DNA has a theoretical data density of 6 bits for every 1 nm of polymer, or ∼4.5 × 107 GB/g”
“Note: All values are considered at 10 °C and assuming DNA with 150 bp at an information density of 17 EB/g.”
Unnatural-nucleotide sequencing is both possible and incompatible
MinorThe reading section says nanopore sequencing can identify modified and unnatural nucleotides, whereas the conclusion says current sequencing methods are incompatible with unnatural monomer units.
“For data readout, DNA sequencing is rapidly advancing, but current methods would be incompatible with unnatural monomer units, which limits the scope of the methods.”
“Contrary to SBS, it is therefore also able to identify modified and unnatural nucleotides such that the readout of data encoded using an expanded molecular alphabet is possible.”
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486 · see citing works
Folding DNA to create nanoscale shapes and patterns
Rothemund, P. W. K. (2006) · Nature · doi:10.1038/nature04586 · Cited by 7,391 · see citing works
Molecular Computation of Solutions to Combinatorial Problems
Adleman, L. M. (1994) · Science · doi:10.1126/science.7973651 · Cited by 4,474 · see citing works
Coming of age: ten years of next-generation sequencing technologies
Goodwin, S., McPherson, J. D., & McCombie, W. R. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.49 · Cited by 4,352 · see citing works
Design and self-assembly of two-dimensional DNA crystals
Winfree, E., Liu, F., Wenzler, L. A., & Seeman, N. C. (1998) · Nature · doi:10.1038/28998 · Cited by 2,857 · see citing works
Seeman, N. C., & Sleiman, H. F. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.68 · Cited by 1,875 · see citing works
IEEE Transactions on Information Theory
(2023) · IEEE Transactions on Information Theory · doi:10.1109/tit.18 · Cited by 1,856 · see citing works
Dynamic DNA nanotechnology using strand-displacement reactions
Zhang, D. Y., & Seelig, G. (2011) · Nature Chemistry · doi:10.1038/nchem.957 · Cited by 1,785 · see citing works
The World’s Technological Capacity to Store, Communicate, and Compute Information
Hilbert, M., & López, P. (2011) · Science · doi:10.1126/science.1200970 · Cited by 1,643 · see citing works
The real-time polymerase chain reaction
Kubista, M., Andrade, J. M., Bengtsson, M., Forootan, A., Jonák, J., Lind, K., Sindelka, R., Sjöback, R., Sjögreen, B., Strömbom, L., et al. (2006) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2005.12.007 · Cited by 1,515 · see citing works
Dabney, J., Knapp, M., Glocke, I., Gansauge, M.-T., Weihmann, A., Nickel, B., Valdiosera, C., García, N., Pääbo, S., Arsuaga, J.-L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314445110 · Cited by 1,443 · see citing works
Next-Generation Digital Information Storage in DNA
Church, G. M., Gao, Y., & Kosuri, S. (2012) · Science · doi:10.1126/science.1226355 · Cited by 1,441 · see citing works
Challenges and opportunities for structural DNA nanotechnology
Pinheiro, A. V., Han, D., Shih, W. M., & Yan, H. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.187 · Cited by 1,292 · see citing works
Three decades of nanopore sequencing
Deamer, D., Akeson, M., & Branton, D. (2016) · Nature Biotechnology · doi:10.1038/nbt.3423 · Cited by 1,292 · see citing works
Towards Practical, High-Capacity, Low-Maintenance Information Storage in Synthesized DNA
Goldman, N., Bertone, P., Chen, S., Dessimoz, C., LeProust, E. M., Sipos, B., & Birney, E. (2013) · Nature · doi:10.1038/nature11875 · Cited by 1,220 · see citing works
DNA sequencing at 40: past, present and future
Shendure, J., Balasubramanian, S., Church, G. M., Gilbert, W., Rogers, J., Schloss, J. A., & Waterston, R. (2017) · Nature · doi:10.1038/nature24286 · Cited by 1,084 · see citing works
DNA Solution of Hard Computational Problems
Lipton, R. J. (1995) · Science · doi:10.1126/science.7725098 · Cited by 1,058 · see citing works
Super-resolution microscopy with DNA-PAINT
Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F., & Jungmann, R. (2017) · Nature Protocols · doi:10.1038/nprot.2017.024 · Cited by 1,047 · see citing works
Complex shapes self-assembled from single-stranded DNA tiles
Wei, B., Dai, M., & Yin, P. (2012) · Nature · doi:10.1038/nature11075 · Cited by 992 · see citing works
Roth, R. (2006) · doi:10.1017/cbo9780511808968 · Cited by 912 · see citing works
DNA Fountain enables a robust and efficient storage architecture
Erlich, Y., & Zielinski, D. (2017) · Science · doi:10.1126/science.aaj2038 · Cited by 898 · see citing works
Large-scale de novo DNA synthesis: technologies and applications
Kosuri, S., & Church, G. M. (2014) · Nature Methods · doi:10.1038/nmeth.2918 · Cited by 869 · see citing works
Algorithmic Self-Assembly of DNA Sierpinski Triangles
Rothemund, P. W. K., Papadakis, N., & Winfree, E. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020424 · Cited by 860 · see citing works
Logical computation using algorithmic self-assembly of DNA triple-crossover molecules
Mao, C., LaBean, T. H., Reif, J. H., & Seeman, N. C. (2000) · Nature · doi:10.1038/35035038 · Cited by 779 · see citing works
Random access in large-scale DNA data storage
Organick, L., Ang, S. D., Chen, Y.-J., Lopez, R., Yekhanin, S., Makarychev, K., Racz, M. Z., Kamath, G., Gopalan, P., Nguyen, B., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4079 · Cited by 775 · see citing works
Robust Chemical Preservation of Digital Information on DNA in Silica with Error-Correcting Codes
Grass, R. N., Heckel, R., Puddu, M., Paunescu, D., & Stark, W. J. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201411378 · Cited by 754 · see citing works
Self-citationDey, S., Fan, C., Gothelf, K. V., Li, J., Lin, C., Liu, L., Liu, N., Nijenhuis, M. A. D., Saccà, B., Simmel, F. C., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-020-00009-8 · Cited by 745 · see citing works
Self-citationThe half-life of DNA in bone: measuring decay kinetics in 158 dated fossils
Allentoft, M. E., Collins, M., Harker, D., Haile, J., Oskam, C. L., Hale, M. L., Campos, P. F., Samaniego, J. A., Gilbert, M. T. P., Willerslev, E., et al. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2012.1745 · Cited by 633 · see citing works
Molecular Digital Data Storage Using DNA
Ceze, L., Nivala, J., & Strauss, K. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0125-3 · Cited by 551 · see citing works
Optical storage arrays: a perspective for future big data storage
Gu, M., Li, X., & Cao, Y. (2014) · Light: Science & Applications · doi:10.1038/lsa.2014.58 · Cited by 542 · see citing works
Single-molecule chemical reactions on DNA origami
Voigt, N. V., Tørring, T., Rotaru, A., Jacobsen, M. F., Ravnsbæk, J. B., Subramani, R., Mamdouh, W., Kjems, J., Mokhir, A. A., Besenbacher, F., et al. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.5 · Cited by 520 · see citing works
Fractal assembly of micrometre-scale DNA origami arrays with arbitrary patterns
Tikhomirov, G. A., Petersen, P., & Qian, L. (2017) · Nature · doi:10.1038/nature24655 · Cited by 507 · see citing works
Hachimoji DNA and RNA: A genetic system with eight building blocks.
Hoshika, S., Leal, N. A., Kim, M.-J., Kim, M.-S., Karalkar, N. B., Kim, H.-J., Bates, A. M., Watkins, N. E., SantaLucia, H. A., Meyer, A. J., et al. (2019) · Science · doi:10.1126/science.aat0971 · Cited by 494 · see citing works
Programming DNA Tube Circumferences
Yin, P., Hariadi, R. F., Sahu, S., Choi, H. M. T., Park, S. H., LaBean, T. H., & Reif, J. H. (2008) · Science · doi:10.1126/science.1157312 · Cited by 486 · see citing works
Multiple rereads of single proteins at single–amino acid resolution using nanopores
Brinkerhoff, H. D., Kang, A. S. W., Liu, J., Aksimentiev, A., & Dekker, C. (2021) · Science · doi:10.1126/science.abl4381 · Cited by 466 · see citing works
A Rewritable, Random-Access DNA-Based Storage System
Tabatabaei Yazdi, S. M. H., Yuan, Y., Ma, J., Zhao, H., & Milenkovic, O. (2015) · Scientific Reports · doi:10.1038/srep14138 · Cited by 401 · see citing works
Portable and Error-Free DNA-Based Data Storage
Yazdi, S. M. H. T., Gabrys, R., & Milenkovic, O. (2017) · Scientific Reports · doi:10.1038/s41598-017-05188-1 · Cited by 361 · see citing works
Digitally encoded DNA nanostructures for multiplexed, single-molecule protein sensing with nanopores
Bell, N. A. W., & Keyser, U. F. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.50 · Cited by 345 · see citing works
Self-citationMillion-year-old DNA sheds light on the genomic history of mammoths
van der Valk, T., Pečnerová, P., Díez-del-Molino, D., Bergström, A., Oppenheimer, J., Hartmann, S., Xenikoudakis, G., Thomas, J. A., Dehasque, M., Sağlıcan, E., et al. (2021) · Nature · doi:10.1038/s41586-021-03224-9 · Cited by 345 · see citing works
Forward Error Correction for DNA Data Storage
Blawat, M., Gaedke, K., Hütter, I., Chen, X.-M., Turczyk, B., Inverso, S., Pruitt, B. W., & Church, G. M. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.05.398 · Cited by 333 · see citing works
LeProust, E. M., Peck, B. J., Spirin, K., McCuen, H. B., Moore, B., Namsaraev, E., & Caruthers, M. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq163 · Cited by 326 · see citing works
De novo DNA synthesis using polymerase-nucleotide conjugates.
Palluk, S., Arlow, D. H., de Rond, T., Barthel, S., Kang, J. S., Bector, R., Baghdassarian, H. M., Truong, A. N., Kim, P. W., Singh, A. K., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4173 · Cited by 316 · see citing works
DNA‐Origami‐Directed Self‐Assembly of Discrete Silver‐Nanoparticle Architectures
Pal, S., Deng, Z., Ding, B., Yan, H., & Liu, Y. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.201000330 · Cited by 314 · see citing works
Submicrometre geometrically encoded fluorescent barcodes self-assembled from DNA
Lin, C., Jungmann, R., Leifer, A. M., Li, C., Levner, D., Church, G. M., Shih, W. M., & Yin, P. (2012) · Nature Chemistry · doi:10.1038/nchem.1451 · Cited by 302 · see citing works
Single-stranded DNA and RNA origami
Han, D., Qi, X., Myhrvold, C., Wang, B., Dai, M., Jiang, S., Bates, M., Liu, Y., An, B., Zhang, F., et al. (2017) · Science · doi:10.1126/science.aao2648 · Cited by 300 · see citing works
Genomically encoded analog memory with precise in vivo DNA writing in living cell populations
Farzadfard, F., & Lu, T. K. (2014) · Science · doi:10.1126/science.1256272 · Cited by 298 · see citing works
Diverse and robust molecular algorithms using reprogrammable DNA self-assembly
Woods, D., Doty, D., Myhrvold, C., Hui, J., Zhou, F., Yin, P., & Winfree, E. (2019) · Nature · doi:10.1038/s41586-019-1014-9 · Cited by 295 · see citing works
Rapid Folding of DNA into Nanoscale Shapes at Constant Temperature
Sobczak, J.-P. J., Martin, T. G., Gerling, T., & Dietz, H. (2012) · Science · doi:10.1126/science.1229919 · Cited by 285 · see citing works
Visualization of the Cellular Uptake and Trafficking of DNA Origami Nanostructures in Cancer Cells
Wang, P., Rahman, M. A., Zhao, Z., Weiss, K., Zhang, C., Chen, Z., Hurwitz, S. J., Chen, Z. G., Shin, D. M., & Ke, Y. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b09024 · Cited by 269 · see citing works
Enzymatic DNA synthesis for digital information storage.
Lee, H. H., Kalhor, R., Goela, N., Bolot, J., & Church, G. M. (2018) · doi:10.1101/348987 · Cited by 265 · see citing works
Permanent genetic memory with >1-byte capacity
Yang, L., Nielsen, A. A. K., Fernandez-Rodriguez, J., McClune, C. J., Laub, M. T., Lu, T. K., & Voigt, C. A. (2014) · Nature Methods · doi:10.1038/nmeth.3147 · Cited by 243 · see citing works
Song, T., Eshra, A., Shah, S., Bui, H., Fu, D., Yang, M., Mokhtar, R., & Reif, J. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0544-5 · Cited by 240 · see citing works
Data storage in DNA with fewer synthesis cycles using composite DNA letters.
Anavy, L., Vaknin, I., Atar, O., Amit, R., & Yakhini, Z. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0240-x · Cited by 229 · see citing works
DNA storage: research landscape and future prospects
Dong, Y., Sun, F., Ping, Z., Ouyang, Q., & Qian, L. (2020) · National Science Review · doi:10.1093/nsr/nwaa007 · Cited by 224 · see citing works
Encoding information into polymers
Rutten, M. G. T. A., Vaandrager, F. W., Elemans, J. A. A. W., & Nolte, R. J. M. (2018) · Nature Reviews Chemistry · doi:10.1038/s41570-018-0051-5 · Cited by 216 · see citing works
DNA stability: a central design consideration for DNA data storage systems
Matange, K. R., Tuck, J. M., & Keung, A. J. (2021) · Nature Communications · doi:10.1038/s41467-021-21587-5 · Cited by 212 · see citing works
A DNA-of-things storage architecture to create materials with embedded memory.
Koch, J., Gantenbein, S., Masania, K., Stark, W. J., Erlich, Y., & Grass, R. N. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0356-z · Cited by 183 · see citing works
Self-citationChain and conformation stability of solid-state DNA: implications for room temperature storage
Bonnet, J., Colotte, M., Coudy, D., Couallier, V., Portier, J., Morin, B., & Tuffet, S. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp1060 · Cited by 182 · see citing works
HEDGES error-correcting code for DNA storage corrects indels and allows sequence constraints
Press, W. H., Hawkins, J. A., Jones, S. K., Schaub, J. M., & Finkelstein, I. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004821117 · Cited by 178 · see citing works
Yao, G., Zhang, F., Wang, F., Peng, T., Liu, H., Poppleton, E., Šulc, P., Jiang, S., Liu, L., Gong, C., et al. (2020) · Nature Chemistry · doi:10.1038/s41557-020-0539-8 · Cited by 177 · see citing works
Antkowiak, P. L., Lietard, J., Darestani, M. Z., Somoza, M. M., Stark, W. J., Heckel, R., & Grass, R. N. (2020) · Nature Communications · doi:10.1038/s41467-020-19148-3 · Cited by 173 · see citing works
Self-citationDigital Data Storage Using DNA Nanostructures and Solid-State Nanopores
Chen, K., Kong, J., Zhu, J., Ermann, N., Predki, P., & Keyser, U. F. (2019) · Nano Letters · doi:10.1021/acs.nanolett.8b04715 · Cited by 164 · see citing works
Self-citationReading and Writing Digital Data in DNA
Meiser, L. C., Antkowiak, P. L., Koch, J., Chen, W. D., Kohll, A. X., Stark, W. J., Heckel, R., & Grass, R. N. (2020) · Nature Protocols · doi:10.1038/s41596-019-0244-5 · Cited by 164 · see citing works
DNA origami cryptography for secure communication
Zhang, Y., Wang, F., Chao, J., Xie, M., Liu, H., Pan, M., Kopperger, E., Liu, X., Li, Q., Shi, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13517-3 · Cited by 163 · see citing works
Paunescu, D., Puddu, M., Soellner, J. O. B., Stoessel, P. R., & Grass, R. N. (2013) · Nature Protocols · doi:10.1038/nprot.2013.154 · Cited by 151 · see citing works
Self-citationBurrill, D. R., & Silver, P. A. (2010) · Cell · doi:10.1016/j.cell.2009.12.034 · Cited by 149 · see citing works
Reprogramming the assembly of unmodified DNA with a small molecule
Avakyan, N., Greschner, A. A., Aldaye, F., Serpell, C. J., Toader, V., Petitjean, A., & Sleiman, H. F. (2016) · Nature Chemistry · doi:10.1038/nchem.2451 · Cited by 148 · see citing works
Autonomously designed free-form 2D DNA origami
Jun, H., Zhang, F., Shepherd, T. R., Ratanalert, S., Qi, X., Yan, H., & Bathe, M. (2019) · Science Advances · doi:10.1126/sciadv.aav0655 · Cited by 148 · see citing works
High Density DNA Data Storage Library via Dehydration with Digital Microfluidic Retrieval
Newman, S., Stephenson, A. P., Willsey, M., Nguyen, B. H., Takahashi, C. N., Strauss, K., & Ceze, L. (2019) · Nature Communications · doi:10.1038/s41467-019-09517-y · Cited by 144 · see citing works
Random access DNA memory using Boolean search in an archival file storage system
Banal, J. L., Shepherd, T. R., Berleant, J., Huang, H., Reyes, M., Ackerman, C. M., Blainey, P. C., & Bathe, M. (2021) · Nature Materials · doi:10.1038/s41563-021-01021-3 · Cited by 143 · see citing works
Wang, Y., Zhang, S., Jia, W., Fan, P., Wang, L., Li, X., Chen, J., Cao, Z., Du, X., Liu, Y., et al. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01169-2 · Cited by 143 · see citing works
DNA assembly for nanopore data storage readout
Lopez, R., Chen, Y.-J., Dumas Ang, S., Yekhanin, S., Makarychev, K., Racz, M. Z., Seelig, G., Strauss, K., & Ceze, L. (2019) · Nature Communications · doi:10.1038/s41467-019-10978-4 · Cited by 142 · see citing works
Demonstration of End-to-End Automation of DNA Data Storage.
Takahashi, C. N., Nguyen, B. H., Strauss, K., & Ceze, L. (2019) · Scientific Reports · doi:10.1038/s41598-019-41228-8 · Cited by 137 · see citing works
An Artificial Chromosome for Data Storage
Chen, W., Han, M., Zhou, J., Ge, Q., Wang, P., Zhang, X., Zhu, S., Song, L., & Yuan, Y. (2021) · National Science Review · doi:10.1093/nsr/nwab028 · Cited by 136 · see citing works
Probing the physical limits of reliable DNA data retrieval.
Organick, L., Chen, Y.-J., Dumas Ang, S., Lopez, R., Liu, X., Strauss, K., & Ceze, L. (2020) · Nature Communications · doi:10.1038/s41467-020-14319-8 · Cited by 135 · see citing works
Nanopore-Based DNA Hard Drives for Rewritable and Secure Data Storage
Chen, K., Zhu, J., Bošković, F., & Keyser, U. F. (2020) · Nano Letters · doi:10.1021/acs.nanolett.0c00755 · Cited by 134 · see citing works
Self-citationSynthetic DNA applications in information technology
Meiser, L. C., Nguyen, B. H., Chen, Y.-J., Nivala, J., Strauß, K., Ceze, L., & Grass, R. N. (2022) · Nature Communications · doi:10.1038/s41467-021-27846-9 · Cited by 129 · see citing works
Self-citationChoi, Y., Ryu, T., Lee, A. C., Choi, H., Lee, H., Park, J., Song, S.-H., Kim, S., Kim, H., Park, W., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-43105-w · Cited by 128 · see citing works
DNA punch cards for storing data on native DNA sequences via enzymatic nicking
Tabatabaei, S. K., Wang, B., Athreya, N. B. M., Enghiad, B., Hernandez, A. G., Fields, C. J., Leburton, J.-P., Soloveichik, D., Zhao, H., & Milenkovic, O. (2020) · Nature Communications · doi:10.1038/s41467-020-15588-z · Cited by 120 · see citing works
A dissipative pathway for the structural evolution of DNA fibres
Rizzuto, F. J., Platnich, C. M., Luo, X., Shen, Y., Dore, M. D., Lachance-Brais, C., Guarné, A., Cosa, G., & Sleiman, H. F. (2021) · Nature Chemistry · doi:10.1038/s41557-021-00751-w · Cited by 120 · see citing works
Self-citationDynamic and scalable DNA-based information storage
Lin, K. N., Volkel, K., Tuck, J. M., & Keung, A. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16797-2 · Cited by 117 · see citing works
Photon-directed multiplexed enzymatic DNA synthesis for molecular digital data storage
Lee, H., Wiegand, D. J., Griswold, K., Punthambaker, S., Chun, H., Kohman, R. E., & Church, G. M. (2020) · Nature Communications · doi:10.1038/s41467-020-18681-5 · Cited by 116 · see citing works
Quantifying Molecular Bias in DNA Data Storage
Chen, Y.-J., Takahashi, C. N., Organick, L., Stewart, K., Ang, S. D., Weiss, P., Peck, B., Seelig, G., Ceze, L., & Strauss, K. (2019) · doi:10.1101/566554 · Cited by 109 · see citing works
Jensen, M. A., & Davis, R. W. (2018) · Biochemistry · doi:10.1021/acs.biochem.7b00937 · Cited by 106 · see citing works
Chen, W. D., Kohll, A. X., Nguyen, B. H., Koch, J., Heckel, R., Stark, W. J., Ceze, L., Strauss, K., & Grass, R. N. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201901672 · Cited by 104 · see citing works
Self-citationDriving the Scalability of DNA-Based Information Storage Systems
Tomek, K. J., Volkel, K., Simpson, A., Hass, A. G., Indermaur, E. W., Tuck, J. M., & Keung, A. J. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00100 · Cited by 100 · see citing works
A Survey on Data Compression Methods for Biological Sequences
Hosseini, M., Pratas, D., & Pinho, A. J. (2016) · Information · doi:10.3390/info7040056 · Cited by 99 · see citing works
Aerolysin nanopores decode digital information stored in tailored macromolecular analytes
Cao, C., Krapp, L. F., Al Ouahabi, A., König, N. F., Cirauqui, N., Radenovic, A., Lutz, J.-F., & Peraro, M. D. (2020) · Science Advances · doi:10.1126/sciadv.abc2661 · Cited by 97 · see citing works
Su, H., Xu, J., Wang, Q., Wang, F., & Zhou, X. (2019) · Nature Communications · doi:10.1038/s41467-019-13310-2 · Cited by 94 · see citing works
Cheraghchi, M., Gabrys, R., Milenkovic, O., & Ribeiro, J. (2020) · IEEE Transactions on Information Theory · doi:10.1109/tit.2020.2996377 · Cited by 90 · see citing works
Hao, Y., Li, Q., Fan, C., & Wang, F. (2021) · Small Structures · doi:10.1002/sstr.202000046 · Cited by 90 · see citing works
Scaling DNA data storage with nanoscale electrode wells
Nguyen, B. H., Takahashi, C. N., Gupta, G., Smith, J. A., Rouse, R., Berndt, P., Yekhanin, S., Ward, D. P., Ang, S. D., Garvan, P., et al. (2021) · Science Advances · doi:10.1126/sciadv.abi6714 · Cited by 90 · see citing works
Capacity-Approaching Constrained Codes With Error Correction for DNA-Based Data Storage
Nguyen, T. T., Cai, K., Immink, K. A. S., & Kiah, H. M. (2021) · IEEE Transactions on Information Theory · doi:10.1109/tit.2021.3066430 · Cited by 85 · see citing works
Next-Generation Sequencing: Advantages, Disadvantages, and Future
Ari, Ş., & Arikan, M. (2016) · Plant Omics: Trends and Applications · doi:10.1007/978-3-319-31703-8_5 · Cited by 84 · see citing works
QuipuNet: Convolutional Neural Network for Single-Molecule Nanopore Sensing
Misiunas, K., Ermann, N., & Keyser, U. F. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b01709 · Cited by 82 · see citing works
Self-citationAn alternative approach to nucleic acid memory
Dickinson, G. D., Mortuza, G. M., Clay, W., Piantanida, L., Green, C. M., Watson, C., Hayden, E. J., Andersen, T., Kuang, W., Graugnard, E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22277-y · Cited by 82 · see citing works
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes
Chandak, S., Tatwawadi, K., Lau, B., Mardia, J., Kubit, M., Neu, J., Griffin, P., Wootters, M., Weissman, T., & Ji, H. (2019) · 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton) · doi:10.1109/allerton.2019.8919890 · Cited by 80 · see citing works
A brief review of DNA and RNA chemical synthesis
Caruthers, M. H. (2011) · Biochemical Society Transactions · doi:10.1042/bst0390575 · Cited by 79 · see citing works
Addressable configurations of DNA nanostructures for rewritable memory
Chandrasekaran, A. R., Levchenko, O., Patel, D. S., MacIsaac, M., & Halvorsen, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx777 · Cited by 79 · see citing works
Xu, C., Ma, B., Gao, Z., Dong, X., Zhao, C., & Liu, H. (2021) · Science Advances · doi:10.1126/sciadv.abk0100 · Cited by 79 · see citing works
Choi, Y., Bae, H. J., Lee, A. C., Choi, H., Lee, D., Ryu, T., Hyun, J., Kim, S., Kim, H., Song, S., et al. (2020) · Advanced Materials · doi:10.1002/adma.202001249 · Cited by 77 · see citing works
Toward a DNA-Based Archival Storage System
Bornholt, J., Lopez, R., Carmean, D. M., Ceze, L., Seelig, G., & Strauss, K. (2017) · IEEE Micro · doi:10.1109/mm.2017.70 · Cited by 75 · see citing works
Nucleic Acid Databases and Molecular-Scale Computing
Song, X., & Reif, J. (2019) · ACS Nano · doi:10.1021/acsnano.9b02562 · Cited by 73 · see citing works
DNA‐Origami‐Directed Self‐Assembly of Discrete Silver‐Nanoparticle Architectures
Pal, S., Deng, Z., Ding, B., et al. (2010) · Angewandte Chemie · doi:10.1002/ange.201000330 · Cited by 73 · see citing works
DNA Data Storage and Hybrid Molecular–Electronic Computing
Carmean, D., Ceze, L., Seelig, G., Stewart, K., Strauss, K., & Willsey, M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2875386 · Cited by 69 · see citing works
An Empirical Comparison of Preservation Methods for Synthetic DNA Data Storage
Organick, L., Nguyen, B. H., McAmis, R., Chen, W. D., Kohll, A. X., Ang, S. D., Grass, R. N., Ceze, L., & Strauss, K. (2021) · Small Methods · doi:10.1002/smtd.202001094 · Cited by 67 · see citing works
Self-citationStabilizing synthetic DNA for long-term data storage with earth alkaline salts
Kohll, A. X., Antkowiak, P. L., Chen, W. D., Nguyen, B. H., Stark, W. J., Ceze, L., Strauss, K., & Grass, R. N. (2020) · Chemical Communications · doi:10.1039/d0cc00222d · Cited by 66 · see citing works
Self-citation2022 IEEE Information Theory Workshop (ITW)
(2022) · doi:10.1109/itw54588.2022 · Cited by 66 · see citing works
Image Encoding Using Multi‐Level DNA Barcodes with Nanopore Readout
Zhu, J., Ermann, N., Chen, K., & Keyser, U. F. (2021) · Small · doi:10.1002/smll.202100711 · Cited by 66 · see citing works
Self-citationIntegrating DNA Encapsulates and Digital Microfluidics for Automated Data Storage in DNA
Antkowiak, P. L., Koch, J., Nguyen, B. H., Stark, W. J., Strauss, K., Ceze, L., & Grass, R. N. (2022) · Small · doi:10.1002/smll.202107381 · Cited by 65 · see citing works
Self-citationStepwise and reversible nanopatterning of proteins on a DNA origami scaffold
Numajiri, K., Kimura, M., Kuzuya, A., et al. (2010) · Chemical Communications · doi:10.1039/c0cc00044b · Cited by 64 · see citing works
A vision for ubiquitous sequencingPreprint
Erlich, Y. (2015) · Genome Research · doi:10.1101/gr.191692.115 · Cited by 64 · see citing works
Tabatabaei, S. K., Pham, B., Pan, C., Liu, J., Chandak, S., Shorkey, S. A., Hernandez, A. G., Aksimentiev, A., Chen, M., Schroeder, C. M., et al. (2022) · Nano Letters · doi:10.1021/acs.nanolett.1c04203 · Cited by 63 · see citing works
Information-Theoretic Foundations of DNA Data Storage
Shomorony, I., & Heckel, R. (2022) · Foundations and Trends® in Communications and Information Theory · doi:10.1561/0100000117 · Cited by 62 · see citing works
Self-citationRewritable Memory by Controllable Nanopatterning of DNA
Shin, J.-S., & Pierce, N. A. (2004) · Nano Letters · doi:10.1021/nl049658r · Cited by 59 · see citing works
A DNA-based system for selecting and displaying the combined result of two input variables
Liu, H., Wang, J., Song, S., Fan, C., & Gothelf, K. V. (2015) · Nature Communications · doi:10.1038/ncomms10089 · Cited by 57 · see citing works
Nanopore microscope identifies RNA isoforms with structural colours
Bošković, F., & Keyser, U. F. (2022) · Nature Chemistry · doi:10.1038/s41557-022-01037-5 · Cited by 57 · see citing works
Self-citationBarthel, S., Palluk, S., Hillson, N. J., Keasling, J. D., & Arlow, D. H. (2020) · Genes · doi:10.3390/genes11010102 · Cited by 56 · see citing works
Assessment of DNA Encapsulation, a New Room-Temperature DNA Storage Method
Clermont, D., Santoni, S., Saker, S., Gomard, M., Gardais, E., & Bizet, C. (2014) · Biopreservation and Biobanking · doi:10.1089/bio.2013.0082 · Cited by 55 · see citing works
Li, W., Zhou, J., Maccaferri, N., et al. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c04459 · Cited by 55 · see citing works
DNA‐Based Concatenated Encoding System for High‐Reliability and High‐Density Data Storage
Ren, Y., Zhang, Y., Liu, Y., Wu, Q., Su, J., Wang, F., Chen, D., Fan, C., Liu, K., & Zhang, H. (2022) · Small Methods · doi:10.1002/smtd.202101335 · Cited by 55 · see citing works
Structural Transformation of Wireframe DNA Origami <i>via</i> DNA Polymerase Assisted Gap-Filling
Agarwal, N. P., Matthies, M., Joffroy, B., & Schmidt, T. L. (2018) · ACS Nano · doi:10.1021/acsnano.7b08345 · Cited by 52 · see citing works
Single-molecule methods in structural DNA nanotechnology
Platnich, C. M., Rizzuto, F. J., Cosa, G., & Sleiman, H. F. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00776h · Cited by 52 · see citing works
Self-citationFontana, R. E., & Decad, G. M. (2018) · AIP Advances · doi:10.1063/1.5007621 · Cited by 49 · see citing works
Encoding Carbon Nanotubes with Tubular Nucleic Acids for Information Storage
Zhang, Y., Li, F., Li, M., Mao, X., Jing, X., Liu, X., Li, Q., Li, J., Wang, L., Fan, C., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b09116 · Cited by 49 · see citing works
Information stored in nanoscale: Encoding data in a single DNA strand with Base64
Zhang, Y., Kong, L., Wang, F., Li, B., Ma, C., Chen, D., Liu, K., Fan, C., & Zhang, H. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100871 · Cited by 48 · see citing works
An Epigenetics‐Inspired DNA‐Based Data Storage System
Mayer, C., McInroy, G. R., Murat, P., et al. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201605531 · Cited by 46 · see citing works
Binary DNA Nanostructures for Data Encryption
Halvorsen, K., & Wong, W. P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044212 · Cited by 45 · see citing works
Mottaghi, M. D., & Dwyer, C. (2013) · Advanced Materials · doi:10.1002/adma.201301141 · Cited by 41 · see citing works
Data storage using peptide sequences
Ng, C. C. A., Tam, W. M., Yin, H., Wu, Q., So, P.-K., Wong, M. Y.-M., Lau, F. C. M., & Yao, Z.-P. (2021) · Nature Communications · doi:10.1038/s41467-021-24496-9 · Cited by 41 · see citing works
Liu, Y., Zheng, Z., Gong, H., Liu, M., Guo, S., Li, G., Wang, X., & Kaplan, D. L. (2017) · Biomaterials Science · doi:10.1039/c6bm00741d · Cited by 39 · see citing works
Efficient molecular encoding in multifunctional self-immolative urethanes
Dahlhauser, S. D., Moor, S. R., Vera, M. S., York, J. T., Ngo, P., Boley, A. J., Coronado, J. N., Simpson, Z. B., & Anslyn, E. V. (2021) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2021.100393 · Cited by 38 · see citing works
Hairpin‐DNA memory Using Molecular Addressing
Takinoue, M., & Suyama, A. (2006) · Small · doi:10.1002/smll.200600237 · Cited by 37 · see citing works
Long term conservation of DNA at ambient temperature. Implications for DNA data storage
Coudy, D., Colotte, M., Luis, A., Tuffet, S., & Bonnet, J. (2021) · PLOS ONE · doi:10.1371/journal.pone.0259868 · Cited by 37 · see citing works
Genomic Encryption of Digital Data Stored in Synthetic DNA
Grass, R. N., Heckel, R., Dessimoz, C., & Stark, W. J. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202001162 · Cited by 34 · see citing works
Self-citationMikutis, G., Schmid, L., Stark, W. J., & Grass, R. N. (2019) · AIChE Journal · doi:10.1002/aic.16433 · Cited by 32 · see citing works
Self-citationPurification of multiplex oligonucleotide libraries by synthesis and selection
Choi, H., Choi, Y., Choi, J., Lee, A. C., Yeom, H., Hyun, J., Ryu, T., & Kwon, S. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-00988-3 · Cited by 32 · see citing works
Metastable hybridization-based DNA information storage to allow rapid and permanent erasure
Kim, J., Bae, J. H., Baym, M., & Zhang, D. Y. (2020) · Nature Communications · doi:10.1038/s41467-020-18842-6 · Cited by 29 · see citing works
Combinatorial PCR Method for Efficient, Selective Oligo Retrieval from Complex Oligo Pools
Winston, C., Organick, L., Ward, D., Ceze, L., Strauss, K., & Chen, Y.-J. (2022) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00482 · Cited by 29 · see citing works
Preservation and Encryption in DNA Digital Data Storage
Zhang, Y., Ren, Y., Liu, Y., Wang, F., Zhang, H., & Liu, K. (2022) · ChemPlusChem · doi:10.1002/cplu.202200183 · Cited by 28 · see citing works
DNA Structural Barcode Copying and Random Access
Bošković, F., Ohmann, A., Keyser, U. F., & Chen, K. (2021) · Small Structures · doi:10.1002/sstr.202000144 · Cited by 24 · see citing works
Self-citationMonochromatic Fluorescent Barcodes Hierarchically Assembled from Modular DNA Origami Nanorods
Pan, V., Wang, W., Heaven, I., Bai, T., Cheng, Y., Chen, C., Ke, Y., & Wei, B. (2021) · ACS Nano · doi:10.1021/acsnano.1c03796 · Cited by 23 · see citing works
Anhydrous calcium phosphate crystals stabilize DNA for dry storage
Antkowiak, P. L., Koch, J., Rzepka, P., Nguyen, B. H., Strauß, K., Stark, W. J., & Grass, R. N. (2022) · Chemical Communications · doi:10.1039/d2cc00414c · Cited by 23 · see citing works
Self-citationMulti-resolution simulation of DNA transport through large synthetic nanostructures
Choudhary, A., Maffeo, C., & Aksimentiev, A. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp04589j · Cited by 22 · see citing works
Mini review: Enzyme-based DNA synthesis and selective retrieval for data storage
Yoo, E., Choe, D., Shin, J., Cho, S., & Cho, B. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.04.057 · Cited by 21 · see citing works
An Epigenetics‐Inspired DNA‐Based Data Storage System
Mayer, C., McInroy, G. R., Murat, P., Van Delft, P., & Balasubramanian, S. (2016) · Angewandte Chemie · doi:10.1002/ange.201605531 · Cited by 19 · see citing works
Photolithographic synthesis of high-density DNA probe arrays: Challenges and opportunities
Pawloski, A. R., McGall, G., Kuimelis, R. G., Barone, D., Cuppoletti, A., Ciccolella, P., Spence, E., Afroz, F., Bury, P., Chen, C., et al. (2007) · Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena · doi:10.1116/1.2794325 · Cited by 15 · see citing works
Fabre, A., Luis, A., Colotte, M., Tuffet, S., & Bonnet, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188547 · Cited by 15 · see citing works
Optimal Reconstruction Codes for Deletion Channels
Chrisnata, J., Kiah, H. M., & Yaakobi, E. (2020) · arXiv · doi:10.48550/arxiv.2004.06032 · Cited by 14 · see citing works
Solution of a SAT Problem on a Photochemical DNA Computer
Ogasawara, S., & Fujimoto, K. (2005) · Chemistry Letters · doi:10.1246/cl.2005.378 · Cited by 10 · see citing works
The Error Probability of Maximum-Likelihood Decoding over Two Deletion/Insertion Channels
Sabary, O., Yaakobi, E., & Yucovich, A. (2020) · 2020 IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit44484.2020.9174488 · Cited by 10 · see citing works
High Density Data Storage In Dna Using An Efficient Message Encoding Scheme
Vishwakarma, R. (2012) · International Journal of Advanced Information Technology · doi:10.5121/ijitcs.2012.2204 · Cited by 9 · see citing works
A Characterization of the DNA Data Storage Channel
Heckel, R., Mikutis, G., & Grass, R. N. (2019) · Scientific Reports · doi:10.1038/s41598-019-45832-6 · Cited by 9 · see citing works
Self-citationLu, X., & Kim, S. (2021) · IEEE Access · doi:10.1109/access.2021.3116245 · Cited by 7 · see citing works
An Adaptive Data Redundancy Strategy in Cloud Storage
Wang, Y., Menglin, W., Wang, J., et al. (2019) · IEEE International Conference on Electronic Information and Communication Technology (ICEICT) · doi:10.1109/iceict.2019.8846345 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- 10.1063/1.5007621 · DOI · Paper page
Cited by
Sorted by citations
Buko, T., Tuczko, N., & Ishikawa, T. (2023) · BioTech · doi:10.3390/biotech12020044 · Cited by 21 · see citing works
“Therefore, at the moment, for DNA data storage purposes, the most commonly used is Illumina sequencing [37].”
BackgroundMethodInfluentialRebimbas, R., Glória, I., Chegão, J., Al-Rawi, M., Mousakhani Ganjeh, A., & Saraiva, J. A. (2026) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2026.03.003
- Authors
- Doricchi, A., Platnich, C. M., Gimpel, A., Horn, F., Earle, M., Lanzavecchia, G., Cortajarena, A. L., Liz-Marzán, L. M., Liu, N., Heckel, R., Grass, R. N., Krahne, R., Keyser, U. F., & Garoli, D.
- Affiliations
- Italian Institute of Technology (IT)
- University of Cambridge (GB)
- ETH Zurich (CH)
- Technical University of Munich (DE)
- Istituto Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
- Ikerbasque (ES)
- Center for Cooperative Research in Biomaterials (CICbiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014 Donostia-San Sebastián, Spain
- University of Stuttgart (DE)
- Corresponding author
- Keyser, Ulrich F.
- Garoli, Denis
- ORCID
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-10-18
- Volume
- 16
- Issue
- 11
- Pages
- 17552-17571
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- PMC
- PMC9706676
- OpenAlex
- W4306750370
- Semantic Scholar
- 7c8bd41e9cebdb01f445a51ba43839c8d9b3ab91
- Cited by
- 235
- References
- 155
- Citations by year
- 2026: 58 · 2025: 74 · 2024: 62 · 2023: 38 · 2022: 3
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- ACS Nano (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- ETH Zürich Research Collection
- Funders
- H2020 Future and Emerging Technologies (964995)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Physical Sciences › Engineering › Biomedical Engineering › Nanopore and Nanochannel Transport Studies
- Keywords
- DNA data storage, DNA nanostructures, DNA sequence encoding, storage density
- MeSH terms
- DNA, Information Storage and Retrieval, Sequence Analysis, DNA
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
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