An Empirical Comparison of Preservation Methods for Synthetic DNA Data Storage
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Abstract
Synthetic DNA has recently risen as a viable alternative for long‐term digital data storage. To ensure that information is safely recovered after storage, it is essential to appropriately preserve the physical DNA molecules encoding the data. While preservation of biological DNA has been studied previously, synthetic DNA differs in that it is typically much shorter in length, it has different sequence profiles with fewer, if any, repeats (or homopolymers), and it has different contaminants. In this paper, nine different methods used to preserve data files encoded in synthetic DNA are evaluated by accelerated aging of nearly 29 000 DNA sequences. In addition to a molecular count comparison, the DNA is also sequenced and analyzed after aging. These findings show that errors and erasures are stochastic and show no practical distribution difference between preservation methods. Finally, the physical density of these methods is compared and a stability versus density trade‐offs discussion provided.
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If stored properly, DNA can be preserved for more than one million years.
“If stored properly, DNA can be preserved for more than one million years, DNA data storage.[16]”
From Integrating DNA Encapsulates and Digital Microfluidics for Automated Data Storage in DNA (2022) · cites this paper as [16]
There are several different solutions for the preservation of DNA at room temperature, such as filter paper, anaerobic encapsulation, sugar-matrices, and inorganic salts.
“There are several different solutions for the preservation of DNA at room temperature, such as filter paper, anaerobic encapsulation, sugar-matrices, and inorganic salts.[16][17][18][19][20]”
From Integrating DNA Encapsulates and Digital Microfluidics for Automated Data Storage in DNA (2022) · cites this paper as [16]
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- Authors
- Organick, L., Nguyen, B. H., McAmis, R., Chen, W. D., Kohll, A. X., Ang, S. D., Grass, R. N., Ceze, L., & Strauss, K.
- Affiliations
- University of Washington (US)
- Microsoft (United States) (US)
- ETH Zurich (CH)
- University of Washington Paul G. Allen School of Computer Science and Engineering Seattle WA 98195 USA
- Corresponding author
- Organick, Lee
- Nguyen, Bichlien H.
- Venue
- Small Methods
- Publisher
- Wiley
- Published
- 2021-01-25
- Volume
- 5
- Issue
- 5
- Pages
- e2001094-e2001094
- ISSN
- 2366-9608 (ISSN-L)
- OpenAlex
- W3124250152
- Cited by
- 67
- References
- 23
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 7 · 2023: 15 · 2022: 13 · 2021: 5
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Small Methods (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed (publishedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-nd)
- ETH Zürich Research Collection
- Funders
- Microsoft
- Defense Advanced Research Projects Agency
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Data Storage Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
- Keywords
- DNA preservation, accelerated aging, DNA degradation, data deletion, error distribution, storage density
- MeSH terms
- Base Sequence, DNA, Half-Life, Temperature, Time Factors, Trehalose, Polymerase Chain Reaction, Sequence Analysis, DNA, Magnetite Nanoparticles, High-Throughput Nucleotide Sequencing
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