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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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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. |
format | Text |
id | pubmed-3024321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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