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Lookup NU author(s): Jonathan Tellechea Luzardo, Leanne Hobbs, Dr Lenka Pelechova, Emeritus Professor Simon WoodsORCiD, Professor Natalio KrasnogorORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022. The Author(s). "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.
Author(s): Tellechea-Luzardo J, Hobbs L, Velazquez E, Pelechova L, Woods S, de Lorenzo V, Krasnogor N
Publication type: Article
Publication status: Published
Journal: Nature communications
Year: 2022
Volume: 13
Issue: 1
Online publication date: 09/02/2022
Acceptance date: 21/01/2022
Date deposited: 14/03/2022
ISSN (electronic): 2041-1723
Publisher: Nature Publishing Group
URL: https://doi.org/10.1038/s41467-022-28350-4
DOI: 10.1038/s41467-022-28350-4
PubMed id: 35140226
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