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Versioning biological cells for trustworthy cell engineering

“Full-stack” biotechnology platforms for cell line (re)programming are on the horizon, thanks mostly to (a) advances in gene synthesis and editing techniques as well as (b) the growing integration of life science research with informatics, the internet of things and automation. These emerging platfo...

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Autores principales: Tellechea-Luzardo, Jonathan, Hobbs, Leanne, Velázquez, Elena, Pelechova, Lenka, Woods, Simon, de Lorenzo, Víctor, Krasnogor, Natalio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828774/
https://www.ncbi.nlm.nih.gov/pubmed/35140226
http://dx.doi.org/10.1038/s41467-022-28350-4
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author Tellechea-Luzardo, Jonathan
Hobbs, Leanne
Velázquez, Elena
Pelechova, Lenka
Woods, Simon
de Lorenzo, Víctor
Krasnogor, Natalio
author_facet Tellechea-Luzardo, Jonathan
Hobbs, Leanne
Velázquez, Elena
Pelechova, Lenka
Woods, Simon
de Lorenzo, Víctor
Krasnogor, Natalio
author_sort Tellechea-Luzardo, Jonathan
collection PubMed
description “Full-stack” biotechnology platforms for cell line (re)programming are on the horizon, thanks mostly to (a) advances in gene synthesis and editing techniques as well as (b) the growing integration of life science research with informatics, the internet of things and automation. These emerging platforms will accelerate the production and consumption of biological products. Hence, traceability, transparency, and—ultimately—trustworthiness is required from cradle to grave for engineered cell lines and their engineering processes. Here we report a cloud-based version control system for biotechnology that (a) keeps track and organizes the digital data produced during cell engineering and (b) molecularly links that data to the associated living samples. Barcoding protocols, based on standard genetic engineering methods, to molecularly link to the cloud-based version control system six species, including gram-negative and gram-positive bacteria as well as eukaryote cells, are shown. We argue that version control for cell engineering marks a significant step toward more open, reproducible, easier to trace and share, and more trustworthy engineering biology.
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spelling pubmed-88287742022-03-04 Versioning biological cells for trustworthy cell engineering Tellechea-Luzardo, Jonathan Hobbs, Leanne Velázquez, Elena Pelechova, Lenka Woods, Simon de Lorenzo, Víctor Krasnogor, Natalio Nat Commun Article “Full-stack” biotechnology platforms for cell line (re)programming are on the horizon, thanks mostly to (a) advances in gene synthesis and editing techniques as well as (b) the growing integration of life science research with informatics, the internet of things and automation. These emerging platforms will accelerate the production and consumption of biological products. Hence, traceability, transparency, and—ultimately—trustworthiness is required from cradle to grave for engineered cell lines and their engineering processes. Here we report a cloud-based version control system for biotechnology that (a) keeps track and organizes the digital data produced during cell engineering and (b) molecularly links that data to the associated living samples. Barcoding protocols, based on standard genetic engineering methods, to molecularly link to the cloud-based version control system six species, including gram-negative and gram-positive bacteria as well as eukaryote cells, are shown. We argue that version control for cell engineering marks a significant step toward more open, reproducible, easier to trace and share, and more trustworthy engineering biology. Nature Publishing Group UK 2022-02-09 /pmc/articles/PMC8828774/ /pubmed/35140226 http://dx.doi.org/10.1038/s41467-022-28350-4 Text en © The Author(s) 2022 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
Tellechea-Luzardo, Jonathan
Hobbs, Leanne
Velázquez, Elena
Pelechova, Lenka
Woods, Simon
de Lorenzo, Víctor
Krasnogor, Natalio
Versioning biological cells for trustworthy cell engineering
title Versioning biological cells for trustworthy cell engineering
title_full Versioning biological cells for trustworthy cell engineering
title_fullStr Versioning biological cells for trustworthy cell engineering
title_full_unstemmed Versioning biological cells for trustworthy cell engineering
title_short Versioning biological cells for trustworthy cell engineering
title_sort versioning biological cells for trustworthy cell engineering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828774/
https://www.ncbi.nlm.nih.gov/pubmed/35140226
http://dx.doi.org/10.1038/s41467-022-28350-4
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