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In vivo processing of digital information molecularly with targeted specificity and robust reliability
DNA has attracted increasing interest as an appealing medium for information storage. However, target-specific rewriting of the digital data stored in intracellular DNA remains a grand challenge because the highly repetitive nature and uneven guanine-cytosine content render the encoded DNA sequences...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355361/ https://www.ncbi.nlm.nih.gov/pubmed/35930647 http://dx.doi.org/10.1126/sciadv.abo7415 |
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author | Liu, Yangyi Ren, Yubin Li, Jingjing Wang, Fan Wang, Fei Ma, Chao Chen, Dong Jiang, Xingyu Fan, Chunhai Zhang, Hongjie Liu, Kai |
author_facet | Liu, Yangyi Ren, Yubin Li, Jingjing Wang, Fan Wang, Fei Ma, Chao Chen, Dong Jiang, Xingyu Fan, Chunhai Zhang, Hongjie Liu, Kai |
author_sort | Liu, Yangyi |
collection | PubMed |
description | DNA has attracted increasing interest as an appealing medium for information storage. However, target-specific rewriting of the digital data stored in intracellular DNA remains a grand challenge because the highly repetitive nature and uneven guanine-cytosine content render the encoded DNA sequences poorly compatible with endogenous ones. In this study, a dual-plasmid system based on gene editing tools was introduced into Escherichia coli to process information accurately. Digital data containing large repeat units in binary codes, such as text, codebook, or image, were involved in the realization of target-specific rewriting in vivo, yielding up to 94% rewriting reliability. An optical reporter was introduced as an advanced tool for presenting data processing at the molecular level. Rewritten information was stored stably and amplified over hundreds of generations. Our work demonstrates a digital-to-biological information processing approach for highly efficient data storage, amplification, and rewriting, thus robustly promoting the application of DNA-based information technology. |
format | Online Article Text |
id | pubmed-9355361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93553612022-08-18 In vivo processing of digital information molecularly with targeted specificity and robust reliability Liu, Yangyi Ren, Yubin Li, Jingjing Wang, Fan Wang, Fei Ma, Chao Chen, Dong Jiang, Xingyu Fan, Chunhai Zhang, Hongjie Liu, Kai Sci Adv Physical and Materials Sciences DNA has attracted increasing interest as an appealing medium for information storage. However, target-specific rewriting of the digital data stored in intracellular DNA remains a grand challenge because the highly repetitive nature and uneven guanine-cytosine content render the encoded DNA sequences poorly compatible with endogenous ones. In this study, a dual-plasmid system based on gene editing tools was introduced into Escherichia coli to process information accurately. Digital data containing large repeat units in binary codes, such as text, codebook, or image, were involved in the realization of target-specific rewriting in vivo, yielding up to 94% rewriting reliability. An optical reporter was introduced as an advanced tool for presenting data processing at the molecular level. Rewritten information was stored stably and amplified over hundreds of generations. Our work demonstrates a digital-to-biological information processing approach for highly efficient data storage, amplification, and rewriting, thus robustly promoting the application of DNA-based information technology. American Association for the Advancement of Science 2022-08-05 /pmc/articles/PMC9355361/ /pubmed/35930647 http://dx.doi.org/10.1126/sciadv.abo7415 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Liu, Yangyi Ren, Yubin Li, Jingjing Wang, Fan Wang, Fei Ma, Chao Chen, Dong Jiang, Xingyu Fan, Chunhai Zhang, Hongjie Liu, Kai In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title | In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title_full | In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title_fullStr | In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title_full_unstemmed | In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title_short | In vivo processing of digital information molecularly with targeted specificity and robust reliability |
title_sort | in vivo processing of digital information molecularly with targeted specificity and robust reliability |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355361/ https://www.ncbi.nlm.nih.gov/pubmed/35930647 http://dx.doi.org/10.1126/sciadv.abo7415 |
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