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Versatile phenotype-activated cell sorting
Unraveling the genetic and epigenetic determinants of phenotypes is critical for understanding and re-engineering biology and would benefit from improved methods to separate cells based on phenotypes. Here, we report SPOTlight, a versatile high-throughput technique to isolate individual yeast or hum...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608836/ https://www.ncbi.nlm.nih.gov/pubmed/33097540 http://dx.doi.org/10.1126/sciadv.abb7438 |
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author | Lee, Jihwan Liu, Zhuohe Suzuki, Peter H. Ahrens, John F. Lai, Shujuan Lu, Xiaoyu Guan, Sihui St-Pierre, François |
author_facet | Lee, Jihwan Liu, Zhuohe Suzuki, Peter H. Ahrens, John F. Lai, Shujuan Lu, Xiaoyu Guan, Sihui St-Pierre, François |
author_sort | Lee, Jihwan |
collection | PubMed |
description | Unraveling the genetic and epigenetic determinants of phenotypes is critical for understanding and re-engineering biology and would benefit from improved methods to separate cells based on phenotypes. Here, we report SPOTlight, a versatile high-throughput technique to isolate individual yeast or human cells with unique spatiotemporal profiles from heterogeneous populations. SPOTlight relies on imaging visual phenotypes by microscopy, precise optical tagging of single target cells, and retrieval of tagged cells by fluorescence-activated cell sorting. To illustrate SPOTlight’s ability to screen cells based on temporal properties, we chose to develop a photostable yellow fluorescent protein for extended imaging experiments. We screened 3 million cells expressing mutagenesis libraries and identified a bright new variant, mGold, that is the most photostable yellow fluorescent protein reported to date. We anticipate that the versatility of SPOTlight will facilitate its deployment to decipher the rules of life, understand diseases, and engineer new molecules and cells. |
format | Online Article Text |
id | pubmed-7608836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76088362020-11-13 Versatile phenotype-activated cell sorting Lee, Jihwan Liu, Zhuohe Suzuki, Peter H. Ahrens, John F. Lai, Shujuan Lu, Xiaoyu Guan, Sihui St-Pierre, François Sci Adv Research Articles Unraveling the genetic and epigenetic determinants of phenotypes is critical for understanding and re-engineering biology and would benefit from improved methods to separate cells based on phenotypes. Here, we report SPOTlight, a versatile high-throughput technique to isolate individual yeast or human cells with unique spatiotemporal profiles from heterogeneous populations. SPOTlight relies on imaging visual phenotypes by microscopy, precise optical tagging of single target cells, and retrieval of tagged cells by fluorescence-activated cell sorting. To illustrate SPOTlight’s ability to screen cells based on temporal properties, we chose to develop a photostable yellow fluorescent protein for extended imaging experiments. We screened 3 million cells expressing mutagenesis libraries and identified a bright new variant, mGold, that is the most photostable yellow fluorescent protein reported to date. We anticipate that the versatility of SPOTlight will facilitate its deployment to decipher the rules of life, understand diseases, and engineer new molecules and cells. American Association for the Advancement of Science 2020-10-23 /pmc/articles/PMC7608836/ /pubmed/33097540 http://dx.doi.org/10.1126/sciadv.abb7438 Text en Copyright © 2020 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 NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Lee, Jihwan Liu, Zhuohe Suzuki, Peter H. Ahrens, John F. Lai, Shujuan Lu, Xiaoyu Guan, Sihui St-Pierre, François Versatile phenotype-activated cell sorting |
title | Versatile phenotype-activated cell sorting |
title_full | Versatile phenotype-activated cell sorting |
title_fullStr | Versatile phenotype-activated cell sorting |
title_full_unstemmed | Versatile phenotype-activated cell sorting |
title_short | Versatile phenotype-activated cell sorting |
title_sort | versatile phenotype-activated cell sorting |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608836/ https://www.ncbi.nlm.nih.gov/pubmed/33097540 http://dx.doi.org/10.1126/sciadv.abb7438 |
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