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Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis

Cell size is a defining characteristic central to cell function and ultimately to tissue architecture. The ability to sort cell subpopulations of different sizes would facilitate investigation at genomic and proteomic levels of mechanisms by which cells attain and maintain their size. Currently avai...

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Detalles Bibliográficos
Autores principales: Tzur, Amit, Moore, Jodene K., Jorgensen, Paul, Shapiro, Howard M., Kirschner, Marc W.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024321/
https://www.ncbi.nlm.nih.gov/pubmed/21283800
http://dx.doi.org/10.1371/journal.pone.0016053
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author Tzur, Amit
Moore, Jodene K.
Jorgensen, Paul
Shapiro, Howard M.
Kirschner, Marc W.
author_facet Tzur, Amit
Moore, Jodene K.
Jorgensen, Paul
Shapiro, Howard M.
Kirschner, Marc W.
author_sort Tzur, Amit
collection PubMed
description Cell size is a defining characteristic central to cell function and ultimately to tissue architecture. The ability to sort cell subpopulations of different sizes would facilitate investigation at genomic and proteomic levels of mechanisms by which cells attain and maintain their size. Currently available cell sorters, however, cannot directly measure cell volume electronically, and it would therefore be desirable to know which of the optical measurements that can be made in such instruments provide the best estimate of volume. We investigated several different light scattering and fluorescence measurements in several different cell lines, sorting cell fractions from the high and low end of distributions, and measuring volume electronically to determine which sorting strategy yielded the best separated volume distributions. Since we found that different optical measurements were optimal for different cell lines, we suggest that following this procedure will enable other investigators to optimize their own cell sorters for volume-based separation of the cell types with which they work.
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spelling pubmed-30243212011-01-31 Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis Tzur, Amit Moore, Jodene K. Jorgensen, Paul Shapiro, Howard M. Kirschner, Marc W. PLoS One Research Article Cell size is a defining characteristic central to cell function and ultimately to tissue architecture. The ability to sort cell subpopulations of different sizes would facilitate investigation at genomic and proteomic levels of mechanisms by which cells attain and maintain their size. Currently available cell sorters, however, cannot directly measure cell volume electronically, and it would therefore be desirable to know which of the optical measurements that can be made in such instruments provide the best estimate of volume. We investigated several different light scattering and fluorescence measurements in several different cell lines, sorting cell fractions from the high and low end of distributions, and measuring volume electronically to determine which sorting strategy yielded the best separated volume distributions. Since we found that different optical measurements were optimal for different cell lines, we suggest that following this procedure will enable other investigators to optimize their own cell sorters for volume-based separation of the cell types with which they work. Public Library of Science 2011-01-20 /pmc/articles/PMC3024321/ /pubmed/21283800 http://dx.doi.org/10.1371/journal.pone.0016053 Text en Tzur et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Tzur, Amit
Moore, Jodene K.
Jorgensen, Paul
Shapiro, Howard M.
Kirschner, Marc W.
Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title_full Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title_fullStr Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title_full_unstemmed Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title_short Optimizing Optical Flow Cytometry for Cell Volume-Based Sorting and Analysis
title_sort optimizing optical flow cytometry for cell volume-based sorting and analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024321/
https://www.ncbi.nlm.nih.gov/pubmed/21283800
http://dx.doi.org/10.1371/journal.pone.0016053
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