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High-Reynolds Microfluidic Sorting of Large Yeast Populations
Microfluidic sorting offers a unique ability to isolate large numbers of cells for bulk proteomic or metabolomics studies but is currently limited by low throughput and persistent clogging at low flow rates. Recently we uncovered the physical principles governing the inertial focusing of particles i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137188/ https://www.ncbi.nlm.nih.gov/pubmed/30214051 http://dx.doi.org/10.1038/s41598-018-31726-6 |
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author | Keinan, Eliezer Abraham, Ayelet Chen Cohen, Aaron Alexandrov, Alexander I. Mintz, Reshef Cohen, Merav Reichmann, Dana Kaganovich, Daniel Nahmias, Yaakov |
author_facet | Keinan, Eliezer Abraham, Ayelet Chen Cohen, Aaron Alexandrov, Alexander I. Mintz, Reshef Cohen, Merav Reichmann, Dana Kaganovich, Daniel Nahmias, Yaakov |
author_sort | Keinan, Eliezer |
collection | PubMed |
description | Microfluidic sorting offers a unique ability to isolate large numbers of cells for bulk proteomic or metabolomics studies but is currently limited by low throughput and persistent clogging at low flow rates. Recently we uncovered the physical principles governing the inertial focusing of particles in high-Reynolds numbers. Here, we superimpose high Reynolds inertial focusing on Dean vortices, to rapidly isolate large quantities of young and adult yeast from mixed populations at a rate of 10(7) cells/min/channel. Using a new algorithm to rapidly quantify budding scars in isolated yeast populations and system-wide proteomic analysis, we demonstrate that protein quality control and expression of established yeast aging markers such as CalM, RPL5, and SAM1 may change after the very first replication events, rather than later in the aging process as previously thought. Our technique enables the large-scale isolation of microorganisms based on minute differences in size (±1.5 μm), a feat unmatched by other technologies. |
format | Online Article Text |
id | pubmed-6137188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61371882018-09-15 High-Reynolds Microfluidic Sorting of Large Yeast Populations Keinan, Eliezer Abraham, Ayelet Chen Cohen, Aaron Alexandrov, Alexander I. Mintz, Reshef Cohen, Merav Reichmann, Dana Kaganovich, Daniel Nahmias, Yaakov Sci Rep Article Microfluidic sorting offers a unique ability to isolate large numbers of cells for bulk proteomic or metabolomics studies but is currently limited by low throughput and persistent clogging at low flow rates. Recently we uncovered the physical principles governing the inertial focusing of particles in high-Reynolds numbers. Here, we superimpose high Reynolds inertial focusing on Dean vortices, to rapidly isolate large quantities of young and adult yeast from mixed populations at a rate of 10(7) cells/min/channel. Using a new algorithm to rapidly quantify budding scars in isolated yeast populations and system-wide proteomic analysis, we demonstrate that protein quality control and expression of established yeast aging markers such as CalM, RPL5, and SAM1 may change after the very first replication events, rather than later in the aging process as previously thought. Our technique enables the large-scale isolation of microorganisms based on minute differences in size (±1.5 μm), a feat unmatched by other technologies. Nature Publishing Group UK 2018-09-13 /pmc/articles/PMC6137188/ /pubmed/30214051 http://dx.doi.org/10.1038/s41598-018-31726-6 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Keinan, Eliezer Abraham, Ayelet Chen Cohen, Aaron Alexandrov, Alexander I. Mintz, Reshef Cohen, Merav Reichmann, Dana Kaganovich, Daniel Nahmias, Yaakov High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title | High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title_full | High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title_fullStr | High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title_full_unstemmed | High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title_short | High-Reynolds Microfluidic Sorting of Large Yeast Populations |
title_sort | high-reynolds microfluidic sorting of large yeast populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137188/ https://www.ncbi.nlm.nih.gov/pubmed/30214051 http://dx.doi.org/10.1038/s41598-018-31726-6 |
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