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The palette of techniques for cell cycle analysis

The cell division cycle is the generational period of cellular growth and propagation. Cell cycle progression needs to be highly regulated to preserve genomic fidelity while increasing cell number. In multicellular organisms, the cell cycle must also coordinate with cell fate specification during de...

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Detalles Bibliográficos
Autores principales: Eastman, Anna E., Guo, Shangqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261528/
https://www.ncbi.nlm.nih.gov/pubmed/32441778
http://dx.doi.org/10.1002/1873-3468.13842
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author Eastman, Anna E.
Guo, Shangqin
author_facet Eastman, Anna E.
Guo, Shangqin
author_sort Eastman, Anna E.
collection PubMed
description The cell division cycle is the generational period of cellular growth and propagation. Cell cycle progression needs to be highly regulated to preserve genomic fidelity while increasing cell number. In multicellular organisms, the cell cycle must also coordinate with cell fate specification during development and tissue homeostasis. Altered cell cycle dynamics play a central role also in a number of pathophysiological processes. Thus, extensive effort has been made to define the biochemical machineries that execute the cell cycle and their regulation, as well as implementing more sensitive and accurate cell cycle measurements. Here, we review the available techniques for cell cycle analysis, revisiting the assumptions behind conventional population-based measurements and discussing new tools to better address cell cycle heterogeneity in the single-cell era. We weigh the strengths, weaknesses, and trade-offs of methods designed to measure temporal aspects of the cell cycle. Finally, we discuss emerging techniques for capturing cell cycle speed at single-cell resolution in live animals.
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spelling pubmed-92615282022-07-07 The palette of techniques for cell cycle analysis Eastman, Anna E. Guo, Shangqin FEBS Lett Article The cell division cycle is the generational period of cellular growth and propagation. Cell cycle progression needs to be highly regulated to preserve genomic fidelity while increasing cell number. In multicellular organisms, the cell cycle must also coordinate with cell fate specification during development and tissue homeostasis. Altered cell cycle dynamics play a central role also in a number of pathophysiological processes. Thus, extensive effort has been made to define the biochemical machineries that execute the cell cycle and their regulation, as well as implementing more sensitive and accurate cell cycle measurements. Here, we review the available techniques for cell cycle analysis, revisiting the assumptions behind conventional population-based measurements and discussing new tools to better address cell cycle heterogeneity in the single-cell era. We weigh the strengths, weaknesses, and trade-offs of methods designed to measure temporal aspects of the cell cycle. Finally, we discuss emerging techniques for capturing cell cycle speed at single-cell resolution in live animals. 2020-05-22 /pmc/articles/PMC9261528/ /pubmed/32441778 http://dx.doi.org/10.1002/1873-3468.13842 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Article
Eastman, Anna E.
Guo, Shangqin
The palette of techniques for cell cycle analysis
title The palette of techniques for cell cycle analysis
title_full The palette of techniques for cell cycle analysis
title_fullStr The palette of techniques for cell cycle analysis
title_full_unstemmed The palette of techniques for cell cycle analysis
title_short The palette of techniques for cell cycle analysis
title_sort palette of techniques for cell cycle analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261528/
https://www.ncbi.nlm.nih.gov/pubmed/32441778
http://dx.doi.org/10.1002/1873-3468.13842
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