Literature DB >> 11406593

Cell signaling can direct either binary or graded transcriptional responses.

S R Biggar1, G R Crabtree.   

Abstract

Transcriptional control is generally thought to operate as a binary switch, a behavior that might explain observations such as monoallelic gene expression, stochastic phenotypic changes and bimodal gene activation kinetics. By measuring the activity of the single-copy GAL1 promoter in single cells, we found that changes in the activities of either the transcriptional activator, Gal4 (by simple recruitment with synthetic ligands), or the transcriptional repressor, Mig1, generated graded (non-binary) changes in gene expression that were proportional to signal intensity. However, in the context of the endogenous glucose-responsive signaling pathway, these transcription factors formed part of a binary transcriptional response. Genetic studies demonstrated that this binary response resulted from regulation of a second repressor, Gal80, whereas regulation of Mig1 by a distinct signaling pathway generated graded changes in GAL1 promoter activity. Surprisingly, isogenetic cells can respond to glucose with either binary or graded changes in gene expression, depending on growth conditions. Our studies demonstrate that a given promoter can adapt either binary or graded behavior, and identify the Mig1 and Gal80 genes as necessary for binary versus graded behavior of the Gal1 promoter.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11406593      PMCID: PMC150188          DOI: 10.1093/emboj/20.12.3167

Source DB:  PubMed          Journal:  EMBO J        ISSN: 0261-4189            Impact factor:   11.598


  33 in total

1.  Chemically regulated transcription factors reveal the persistence of repressor-resistant transcription after disrupting activator function.

Authors:  S R Biggar; G R Crabtree
Journal:  J Biol Chem       Date:  2000-08-18       Impact factor: 5.157

2.  Transcriptional control: rheostat converted to on/off switch.

Authors:  F M Rossi; A M Kringstein; A Spicher; O M Guicherit; H M Blau
Journal:  Mol Cell       Date:  2000-09       Impact factor: 17.970

3.  The nucleosome remodeling complex, Snf/Swi, is required for the maintenance of transcription in vivo and is partially redundant with the histone acetyltransferase, Gcn5.

Authors:  P Sudarsanam; Y Cao; L Wu; B C Laurent; F Winston
Journal:  EMBO J       Date:  1999-06-01       Impact factor: 11.598

4.  Activation of Gal4p by galactose-dependent interaction of galactokinase and Gal80p.

Authors:  F T Zenke; R Engles; V Vollenbroich; J Meyer; C P Hollenberg; K D Breunig
Journal:  Science       Date:  1996-06-14       Impact factor: 47.728

Review 5.  Assembly and propagation of repressed and depressed chromosomal states.

Authors:  H Weintraub
Journal:  Cell       Date:  1985-10       Impact factor: 41.582

6.  Transcriptional enhancers act in cis to suppress position-effect variegation.

Authors:  M C Walters; W Magis; S Fiering; J Eidemiller; D Scalzo; M Groudine; D I Martin
Journal:  Genes Dev       Date:  1996-01-15       Impact factor: 11.361

7.  The SV40 72 base repair repeat has a striking effect on gene expression both in SV40 and other chimeric recombinants.

Authors:  P Moreau; R Hen; B Wasylyk; R Everett; M P Gaub; P Chambon
Journal:  Nucleic Acids Res       Date:  1981-11-25       Impact factor: 16.971

8.  Two zinc-finger-containing repressors are responsible for glucose repression of SUC2 expression.

Authors:  L L Lutfiyya; M Johnston
Journal:  Mol Cell Biol       Date:  1996-09       Impact factor: 4.272

Review 9.  Transcriptional regulation in the yeast GAL gene family: a complex genetic network.

Authors:  D Lohr; P Venkov; J Zlatanova
Journal:  FASEB J       Date:  1995-06       Impact factor: 5.191

10.  GAL4/GAL80-dependent nucleosome disruption/deposition on the upstream regions of the yeast GAL1-10 and GAL80 genes.

Authors:  D Lohr; J Lopez
Journal:  J Biol Chem       Date:  1995-11-17       Impact factor: 5.157

View more
  81 in total

1.  Stochastic gene expression in fluctuating environments.

Authors:  Mukund Thattai; Alexander van Oudenaarden
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

Review 2.  Imaging gene expression in single living cells.

Authors:  Yaron Shav-Tal; Robert H Singer; Xavier Darzacq
Journal:  Nat Rev Mol Cell Biol       Date:  2004-10       Impact factor: 94.444

3.  The frequency of persisters in Escherichia coli reflects the kinetics of awakening from dormancy.

Authors:  Arvi Jõers; Niilo Kaldalu; Tanel Tenson
Journal:  J Bacteriol       Date:  2010-04-30       Impact factor: 3.490

4.  Growth rate and cell size modulate the synthesis of, and requirement for, G1-phase cyclins at start.

Authors:  Brandt L Schneider; Jian Zhang; J Markwardt; George Tokiwa; Tom Volpe; Sangeet Honey; Bruce Futcher
Journal:  Mol Cell Biol       Date:  2004-12       Impact factor: 4.272

5.  Is the regulation of galactose 1-phosphate tuned against gene expression noise?

Authors:  Pedro de Atauri; David Orrell; Stephen Ramsey; Hamid Bolouri
Journal:  Biochem J       Date:  2005-04-01       Impact factor: 3.857

6.  Self-organization vs Watchmaker: stochastic gene expression and cell differentiation.

Authors:  Alexei Kurakin
Journal:  Dev Genes Evol       Date:  2004-11-30       Impact factor: 0.900

7.  Single-molecule and population probing of chromatin structure using DNA methyltransferases.

Authors:  Jessica A Kilgore; Scott A Hoose; Tanya L Gustafson; Weston Porter; Michael P Kladde
Journal:  Methods       Date:  2007-03       Impact factor: 3.608

8.  Stochastic gene expression in switching environments.

Authors:  Martin J Gander; Christian Mazza; Hansklaus Rummler
Journal:  J Math Biol       Date:  2007-03-23       Impact factor: 2.259

9.  Model validation for gene selection and regulation maps.

Authors:  Enrico Capobianco
Journal:  Funct Integr Genomics       Date:  2007-12-07       Impact factor: 3.410

Review 10.  Determining biological noise via single cell analysis.

Authors:  Edgar A Arriaga
Journal:  Anal Bioanal Chem       Date:  2008-10-29       Impact factor: 4.142

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.