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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Giovanna Peruzzi, Mattia Miotto, Roberta Maggio, Giancarlo Ruocco, Giorgio Gosti
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Acceso en línea:https://doaj.org/article/82ad4783d6dc443695fab71a6b0b9a4a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:82ad4783d6dc443695fab71a6b0b9a4a
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Astrophysics
QB460-466
Physics
QC1-999
spellingShingle 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