Literature DB >> 11001878

Probability in transcriptional regulation and its implications for leukocyte differentiation and inducible gene expression.

D A Hume1.   

Abstract

The phenotype of individual hematopoietic cells, like all other differentiated mammalian cells, is determined by selective transcription of a subset of the genes encoded within the genome. This overview summarizes the recent evidence that transcriptional regulation at the level of individual cells is best described in terms of the regulation of the probability of transcription rather than the rate. In this model, heterogeneous gene expression among populations of cells arises by chance, and the degree of heterogeneity is a function of the stability of the mRNA and protein products of individual genes. The probabilistic nature of transcriptional regulation provides one explanation for stochastic phenomena, such as stem cell lineage commitment, and monoallelic expression of inducible genes, such as lymphokines and cytokines.

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Year:  2000        PMID: 11001878

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  58 in total

1.  Quantitative analysis of globin gene induction in single human erythroleukemic cells.

Authors:  R D Smith; J D Malley; A N Schechter
Journal:  Nucleic Acids Res       Date:  2000-12-15       Impact factor: 16.971

2.  Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion.

Authors:  A Becskei; B Séraphin; L Serrano
Journal:  EMBO J       Date:  2001-05-15       Impact factor: 11.598

3.  A cell type-specific allele of the POU gene Oct-6 reveals Schwann cell autonomous function in nerve development and regeneration.

Authors:  Merhnaz Ghazvini; Wim Mandemakers; Martine Jaegle; Marko Piirsoo; Siska Driegen; Manousos Koutsourakis; Xsander Smit; Frank Grosveld; Dies Meijer
Journal:  EMBO J       Date:  2002-09-02       Impact factor: 11.598

4.  General statistics of stochastic process of gene expression in eukaryotic cells.

Authors:  V A Kuznetsov; G D Knott; R F Bonner
Journal:  Genetics       Date:  2002-07       Impact factor: 4.562

5.  Multiscale stochastic modelling of gene expression.

Authors:  Pavol Bokes; John R King; Andrew T A Wood; Matthew Loose
Journal:  J Math Biol       Date:  2011-10-07       Impact factor: 2.259

6.  The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation.

Authors:  Jin Wang; Li Xu; Erkang Wang; Sui Huang
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

7.  Digital nature of the immediate-early transcriptional response.

Authors:  Michelle Stevense; Tetsuya Muramoto; Iris Müller; Jonathan R Chubb
Journal:  Development       Date:  2010-02       Impact factor: 6.868

8.  Bimodal gene expression in noncooperative regulatory systems.

Authors:  Anna Ochab-Marcinek; Marcin Tabaka
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-06       Impact factor: 11.205

9.  DNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene Networks.

Authors:  Margaret J Tse; Brian K Chu; Mahua Roy; Elizabeth L Read
Journal:  Biophys J       Date:  2015-10-20       Impact factor: 4.033

Review 10.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

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