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Data storage using peptide sequences
Humankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277807/ https://www.ncbi.nlm.nih.gov/pubmed/34257289 http://dx.doi.org/10.1038/s41467-021-24496-9 |
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author | Ng, Cheuk Chi A. Tam, Wai Man Yin, Haidi Wu, Qian So, Pui-Kin Wong, Melody Yee-Man Lau, Francis C. M. Yao, Zhong-Ping |
author_facet | Ng, Cheuk Chi A. Tam, Wai Man Yin, Haidi Wu, Qian So, Pui-Kin Wong, Melody Yee-Man Lau, Francis C. M. Yao, Zhong-Ping |
author_sort | Ng, Cheuk Chi A. |
collection | PubMed |
description | Humankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and of high storage density. With the selection of suitable constitutive amino acids, designs of address codes and error-correction schemes to protect the order and integrity of the stored data, optimization of the analytical protocol and development of a software to effectively recover peptide sequences from the tandem mass spectra, we demonstrated the feasibility of this method by successfully storing and retrieving a text file and the music file Silent Night with 40 and 511 18-mer peptides respectively. This method for the first time links data storage with the peptide synthesis industry and proteomics techniques, and is expected to stimulate the development of relevant fields. |
format | Online Article Text |
id | pubmed-8277807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82778072021-07-20 Data storage using peptide sequences Ng, Cheuk Chi A. Tam, Wai Man Yin, Haidi Wu, Qian So, Pui-Kin Wong, Melody Yee-Man Lau, Francis C. M. Yao, Zhong-Ping Nat Commun Article Humankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and of high storage density. With the selection of suitable constitutive amino acids, designs of address codes and error-correction schemes to protect the order and integrity of the stored data, optimization of the analytical protocol and development of a software to effectively recover peptide sequences from the tandem mass spectra, we demonstrated the feasibility of this method by successfully storing and retrieving a text file and the music file Silent Night with 40 and 511 18-mer peptides respectively. This method for the first time links data storage with the peptide synthesis industry and proteomics techniques, and is expected to stimulate the development of relevant fields. Nature Publishing Group UK 2021-07-13 /pmc/articles/PMC8277807/ /pubmed/34257289 http://dx.doi.org/10.1038/s41467-021-24496-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ng, Cheuk Chi A. Tam, Wai Man Yin, Haidi Wu, Qian So, Pui-Kin Wong, Melody Yee-Man Lau, Francis C. M. Yao, Zhong-Ping Data storage using peptide sequences |
title | Data storage using peptide sequences |
title_full | Data storage using peptide sequences |
title_fullStr | Data storage using peptide sequences |
title_full_unstemmed | Data storage using peptide sequences |
title_short | Data storage using peptide sequences |
title_sort | data storage using peptide sequences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277807/ https://www.ncbi.nlm.nih.gov/pubmed/34257289 http://dx.doi.org/10.1038/s41467-021-24496-9 |
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