Literature DB >> 17021381

Dynamics of protein distributions in cell populations.

Naama Brenner1, Keren Farkash, Erez Braun.   

Abstract

A population of cells exhibits wide phenotypic variation even if it is genetically homogeneous. In particular, individual cells differ from one another in the amount of protein they express under a given regulatory system under fixed conditions. Here we study how protein distributions in a population of the yeast S. cerevisiae are shaped by a balance of processes: protein production--an intracellular process--and protein dilution due to cell division--a population process. We measure protein distributions by employing reporter green fluorescence protein (gfp) under the regulation of the yeast GAL system under conditions where it is metabolically essential. Cell populations are grown in chemostats, thus allowing control of the environment and stable measurements of distribution dynamics over many generations. Despite the essential functional role of the GAL system in a pure galactose medium, steady-state distributions are found to be universally broad, with exponential tails and a large standard-deviation-to-mean ratio. Under several different perturbations the dynamics of the distribution is observed to be asymmetric, with a much longer time to build a wide expression distribution from below compared with a fast relaxation of the distribution toward steady state from above. These results show that the main features of the protein distributions are largely determined by population effects and are less sensitive to the intracellular biochemical noise.

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Year:  2006        PMID: 17021381     DOI: 10.1088/1478-3975/3/3/002

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  10 in total

1.  Single-cell protein dynamics reproduce universal fluctuations in cell populations.

Authors:  Naama Brenner; Erez Braun; Anna Yoney; Lee Susman; James Rotella; Hanna Salman
Journal:  Eur Phys J E Soft Matter       Date:  2015-09-28       Impact factor: 1.890

2.  Random partitioning of molecules at cell division.

Authors:  Dann Huh; Johan Paulsson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

3.  Synaptic size dynamics as an effectively stochastic process.

Authors:  Adiel Statman; Maya Kaufman; Amir Minerbi; Noam E Ziv; Naama Brenner
Journal:  PLoS Comput Biol       Date:  2014-10-02       Impact factor: 4.475

4.  Metabolic variability in micro-populations.

Authors:  Yuval Elhanati; Naama Brenner
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

5.  Collective dynamics of gene expression in cell populations.

Authors:  Elad Stolovicki; Erez Braun
Journal:  PLoS One       Date:  2011-06-15       Impact factor: 3.240

6.  Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.

Authors:  Philipp Thomas; Vahid Shahrezaei
Journal:  J R Soc Interface       Date:  2021-05-26       Impact factor: 4.293

7.  Intraclonal protein expression heterogeneity in recombinant CHO cells.

Authors:  Warren Pilbrough; Trent P Munro; Peter Gray
Journal:  PLoS One       Date:  2009-12-23       Impact factor: 3.240

8.  Model-based deconvolution of cell cycle time-series data reveals gene expression details at high resolution.

Authors:  Dan Siegal-Gaskins; Joshua N Ash; Sean Crosson
Journal:  PLoS Comput Biol       Date:  2009-08-14       Impact factor: 4.475

9.  Simulating cortical development as a self constructing process: a novel multi-scale approach combining molecular and physical aspects.

Authors:  Frederic Zubler; Andreas Hauri; Sabina Pfister; Roman Bauer; John C Anderson; Adrian M Whatley; Rodney J Douglas
Journal:  PLoS Comput Biol       Date:  2013-08-15       Impact factor: 4.475

10.  Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution.

Authors:  Denis Cottinet; Florence Condamine; Nicolas Bremond; Andrew D Griffiths; Paul B Rainey; J Arjan G M de Visser; Jean Baudry; Jérôme Bibette
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

  10 in total

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