Dynamic and scalable DNA-based information storage
Open accessAbstract
The physical architectures of information storage systems often dictate how information is encoded, databases are organized, and files are accessed. Here we show that a simple architecture comprised of a T7 promoter and a single-stranded overhang domain (ss-dsDNA), can unlock dynamic DNA-based information storage with powerful capabilities and advantages. The overhang provides a physical address for accessing specific DNA strands as well as implementing a range of in-storage file operations. It increases theoretical storage densities and capacities by expanding the encodable sequence space and simplifies the computational burden in designing sets of orthogonal file addresses. Meanwhile, the T7 promoter enables repeatable information access by transcribing information from DNA without destroying it. Furthermore, saturation mutagenesis around the T7 promoter and systematic analyses of environmental conditions reveal design criteria that can be used to optimize information access. This simple but powerful ss-dsDNA architecture lays the foundation for information storage with versatile capabilities.
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The 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”
From Emerging Approaches to DNA Data Storage: Challenges and Prospects (2022) · cites this paper as [78]
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”
From Emerging Approaches to DNA Data Storage: Challenges and Prospects (2022) · cites this paper as [78]
DNA 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”
From Emerging Approaches to DNA Data Storage: Challenges and Prospects (2022) · cites this paper as [78]
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References 52 · Cited by 117
Research works printed but not linked: 2
- [26]Chen, Y. J. et al. Quantifying molecular bias in DNA data storage. Preprint at https://www.biorxiv.org/content/10.1101/566554v1 (2019). · DOI
- [27]Organick, L. et al. Experimental assessment of PCR specificity and copy number for reliable data retrieval in DNA storage. Preprint at https://www.biorxiv.org/content/10.1101/565150v1 (2019). · DOI
- Authors
- Lin, K. N., Volkel, K., Tuck, J. M., & Keung, A. J.
- Affiliations
- North Carolina State University (US)
- Corresponding author
- Tuck, James M.
- Keung, Albert J.
- Venue
- Nature Communications
- Published
- 2020-06-12
- Volume
- 11
- Issue
- 1
- Pages
- 2981-2981
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7293219
- OpenAlex
- W3034933099
- Cited by
- 117
- References
- 52
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 21 · 2023: 24 · 2022: 8 · 2021: 21 · 2020: 8
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- NSF | Directorate for Computer & Information Science & Engineering | Division of Computer and Network Systems (1650148, 1901324)
- North Carolina State University (RISF 2018-2509)
- North Carolina Biotechnology Center (Flash Grant)
- U.S. Department of Education (GAANN Fellowship)
- 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 › Computer Science › Artificial Intelligence › Algorithms and Data Compression
- Keywords
- T7 promoter, storage density, saturation mutagenesis, storage system design
- MeSH terms
- Algorithms, DNA, DNA, Single-Stranded, Genetic Code, Models, Genetic, Promoter Regions, Genetic, Transcription, Genetic, Gene Expression Regulation, Viral, Bacteriophage T7
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