Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation
Emerging experimental observation suggests that asymmetrical partitioning in cell division plays an important role in cell-to-cell variability, cell fate determination, cellular aging, and rejuvenation. Here, the authors propose a method based on multicolor flow cytometry to measure asymmetric divis...
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Nature Portfolio
2021
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oai:doaj.org-article:82ad4783d6dc443695fab71a6b0b9a4a2021-12-02T17:08:24ZAsymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation10.1038/s42005-021-00690-52399-3650https://doaj.org/article/82ad4783d6dc443695fab71a6b0b9a4a2021-08-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00690-5https://doaj.org/toc/2399-3650Emerging experimental observation suggests that asymmetrical partitioning in cell division plays an important role in cell-to-cell variability, cell fate determination, cellular aging, and rejuvenation. Here, the authors propose a method based on multicolor flow cytometry to measure asymmetric division of cellular organelles, finding that cell cytoplasm is divided symmetrically but mitochondria and membrane lipids are asymmetrically distributed, and explain these observations through a minimal model of asymmetric partitioning based on biased binomial statistics.Giovanna PeruzziMattia MiottoRoberta MaggioGiancarlo RuoccoGiorgio GostiNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-12 (2021) |
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Astrophysics QB460-466 Physics QC1-999 Giovanna Peruzzi Mattia Miotto Roberta Maggio Giancarlo Ruocco Giorgio Gosti Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
description |
Emerging experimental observation suggests that asymmetrical partitioning in cell division plays an important role in cell-to-cell variability, cell fate determination, cellular aging, and rejuvenation. Here, the authors propose a method based on multicolor flow cytometry to measure asymmetric division of cellular organelles, finding that cell cytoplasm is divided symmetrically but mitochondria and membrane lipids are asymmetrically distributed, and explain these observations through a minimal model of asymmetric partitioning based on biased binomial statistics. |
format |
article |
author |
Giovanna Peruzzi Mattia Miotto Roberta Maggio Giancarlo Ruocco Giorgio Gosti |
author_facet |
Giovanna Peruzzi Mattia Miotto Roberta Maggio Giancarlo Ruocco Giorgio Gosti |
author_sort |
Giovanna Peruzzi |
title |
Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
title_short |
Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
title_full |
Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
title_fullStr |
Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
title_full_unstemmed |
Asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
title_sort |
asymmetric binomial statistics explains organelle partitioning variance in cancer cell proliferation |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/82ad4783d6dc443695fab71a6b0b9a4a |
work_keys_str_mv |
AT giovannaperuzzi asymmetricbinomialstatisticsexplainsorganellepartitioningvarianceincancercellproliferation AT mattiamiotto asymmetricbinomialstatisticsexplainsorganellepartitioningvarianceincancercellproliferation AT robertamaggio asymmetricbinomialstatisticsexplainsorganellepartitioningvarianceincancercellproliferation AT giancarloruocco asymmetricbinomialstatisticsexplainsorganellepartitioningvarianceincancercellproliferation AT giorgiogosti asymmetricbinomialstatisticsexplainsorganellepartitioningvarianceincancercellproliferation |
_version_ |
1718381563341701120 |