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Probing the physical limits of reliable DNA data retrieval
Synthetic DNA is gaining momentum as a potential storage medium for archival data storage. In this process, digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later retrieval. Here, we demonstrate reliable file recovery with PC...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992699/ https://www.ncbi.nlm.nih.gov/pubmed/32001691 http://dx.doi.org/10.1038/s41467-020-14319-8 |
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author | Organick, Lee Chen, Yuan-Jyue Dumas Ang, Siena Lopez, Randolph Liu, Xiaomeng Strauss, Karin Ceze, Luis |
author_facet | Organick, Lee Chen, Yuan-Jyue Dumas Ang, Siena Lopez, Randolph Liu, Xiaomeng Strauss, Karin Ceze, Luis |
author_sort | Organick, Lee |
collection | PubMed |
description | Synthetic DNA is gaining momentum as a potential storage medium for archival data storage. In this process, digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later retrieval. Here, we demonstrate reliable file recovery with PCR-based random access when as few as ten copies per sequence are stored, on average. This results in density of about 17 exabytes/gram, nearly two orders of magnitude greater than prior work has shown. We successfully retrieve the same data in a complex pool of over 10(10) unique sequences per microliter with no evidence that we have begun to approach complexity limits. Finally, we also investigate the effects of file size and sequencing coverage on successful file retrieval and look for systematic DNA strand drop out. These findings substantiate the robustness and high data density of the process examined here. |
format | Online Article Text |
id | pubmed-6992699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69926992020-02-03 Probing the physical limits of reliable DNA data retrieval Organick, Lee Chen, Yuan-Jyue Dumas Ang, Siena Lopez, Randolph Liu, Xiaomeng Strauss, Karin Ceze, Luis Nat Commun Article Synthetic DNA is gaining momentum as a potential storage medium for archival data storage. In this process, digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later retrieval. Here, we demonstrate reliable file recovery with PCR-based random access when as few as ten copies per sequence are stored, on average. This results in density of about 17 exabytes/gram, nearly two orders of magnitude greater than prior work has shown. We successfully retrieve the same data in a complex pool of over 10(10) unique sequences per microliter with no evidence that we have begun to approach complexity limits. Finally, we also investigate the effects of file size and sequencing coverage on successful file retrieval and look for systematic DNA strand drop out. These findings substantiate the robustness and high data density of the process examined here. Nature Publishing Group UK 2020-01-30 /pmc/articles/PMC6992699/ /pubmed/32001691 http://dx.doi.org/10.1038/s41467-020-14319-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Organick, Lee Chen, Yuan-Jyue Dumas Ang, Siena Lopez, Randolph Liu, Xiaomeng Strauss, Karin Ceze, Luis Probing the physical limits of reliable DNA data retrieval |
title | Probing the physical limits of reliable DNA data retrieval |
title_full | Probing the physical limits of reliable DNA data retrieval |
title_fullStr | Probing the physical limits of reliable DNA data retrieval |
title_full_unstemmed | Probing the physical limits of reliable DNA data retrieval |
title_short | Probing the physical limits of reliable DNA data retrieval |
title_sort | probing the physical limits of reliable dna data retrieval |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992699/ https://www.ncbi.nlm.nih.gov/pubmed/32001691 http://dx.doi.org/10.1038/s41467-020-14319-8 |
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