An open-source FACS automation system for high-throughput cell biology.

Autor: Wiener DM; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Huynh E; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Jeyakumar I; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Bax S; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Sama S; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Cabrera JP; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Todorova V; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Vangipuram M; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Vaid S; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Otsuka F; Medical Business Group, Sony Corporation, San Jose, California, United States of America., Sakai Y; Medical Business Group, Sony Corporation, San Jose, California, United States of America., Leonetti MD; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America., Gómez-Sjöberg R; Chan Zuckerberg Biohub-San Francisco, San Francisco, California, United States of America.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Mar 21; Vol. 19 (3), pp. e0299402. Date of Electronic Publication: 2024 Mar 21 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0299402
Abstrakt: Recent advances in gene editing are enabling the engineering of cells with an unprecedented level of scale. To capitalize on this opportunity, new methods are needed to accelerate the different steps required to manufacture and handle engineered cells. Here, we describe the development of an integrated software and hardware platform to automate Fluorescence-Activated Cell Sorting (FACS), a central step for the selection of cells displaying desired molecular attributes. Sorting large numbers of samples is laborious, and, to date, no automated system exists to sequentially manage FACS samples, likely owing to the need to tailor sorting conditions ("gating") to each individual sample. Our platform is built around a commercial instrument and integrates the handling and transfer of samples to and from the instrument, autonomous control of the instrument's software, and the algorithmic generation of sorting gates, resulting in walkaway functionality. Automation eliminates operator errors, standardizes gating conditions by eliminating operator-to-operator variations, and reduces hands-on labor by 93%. Moreover, our strategy for automating the operation of a commercial instrument control software in the absence of an Application Program Interface (API) exemplifies a universal solution for other instruments that lack an API. Our software and hardware designs are fully open-source and include step-by-step build documentation to contribute to a growing open ecosystem of tools for high-throughput cell biology.
Competing Interests: The SH800S cell sorter that is part of the automation system is a commercial product sold by Sony Corporation. Fumitaka Otsuka and Yoshitsugu Sakai are employees of Sony Corporation. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
(Copyright: © 2024 Wiener et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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