Literature DB >> 22323313

Genes at work in random bouts: stochastically discontinuous gene activity makes cell cycle duration and cell fate decisions variable, thus providing for stem cells plasticity.

Alexey Golubev1.   

Abstract

Cell interdivision periods (IDP) in homogenous cell populations vary stochastically. Another aspect of probabilistic cell behavior is randomness in cell differentiation. These features are suggested to result from competing stochastic events of assembly/disassembly of the transcription pre-initiation complex (PIC) at gene promoters. The time needed to assemble a proper PIC from different proteins, which must be numerous enough to make their combination gene specific, may be comparable to the IDP. Nascent mRNA visualization at defined genes and inferences from protein level fluctuations in single cells suggest that some genes do operate in this way. The onset of mRNA production by such genes may miss the time windows provided by the cell cycle, resulting in cells differentiating into those in which the respective mRNAs are either present or absent. This creates a way to generate cell phenotype diversity in multicellular organisms.
Copyright © 2012 WILEY Periodicals, Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22323313     DOI: 10.1002/bies.201100119

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  6 in total

1.  Derivation and experimental comparison of cell-division probability densities.

Authors:  R Leander; E J Allen; S P Garbett; D R Tyson; V Quaranta
Journal:  J Theor Biol       Date:  2014-06-12       Impact factor: 2.691

2.  Photoreceptor-like cells in transgenic mouse eye.

Authors:  Run-Tao Yan; Xiumei Li; Shu-Zhen Wang
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-07-16       Impact factor: 4.799

3.  Stochastic fluctuations and distributed control of gene expression impact cellular memory.

Authors:  Guillaume Corre; Daniel Stockholm; Ophélie Arnaud; Gaël Kaneko; José Viñuelas; Yoshiaki Yamagata; Thi My Anh Neildez-Nguyen; Jean-Jacques Kupiec; Guillaume Beslon; Olivier Gandrillon; András Paldi
Journal:  PLoS One       Date:  2014-12-22       Impact factor: 3.240

4.  A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase.

Authors:  Zack W Jones; Rachel Leander; Vito Quaranta; Leonard A Harris; Darren R Tyson
Journal:  PLoS One       Date:  2018-02-12       Impact factor: 3.240

5.  An essay on the nominal vs. real definitions of aging.

Authors:  Aleksei G Golubev
Journal:  Biogerontology       Date:  2021-06-06       Impact factor: 4.277

6.  Exponentially Modified Peak Functions in Biomedical Sciences and Related Disciplines.

Authors:  A Golubev
Journal:  Comput Math Methods Med       Date:  2017-06-05       Impact factor: 2.238

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.