Literature DB >> 11030351

Transcriptional control: rheostat converted to on/off switch.

F M Rossi1, A M Kringstein, A Spicher, O M Guicherit, H M Blau.   

Abstract

Individual cells translate concentration gradients of extracellular factors into all-or-none threshold responses leading to discrete patterns of gene expression. Signaling cascades account for some but not all such threshold responses, suggesting the existence of additional mechanisms. Here we show that all-or-none responses can be generated at a transcriptional level. A graded rheostat mechanism obtained when either transactivators or transrepressors are present is converted to an on/off switch when these factors compete for the same DNA regulatory element. Hill coefficients of dose-response curves confirm that the synergistic responses generated by each factor alone are additive, obviating the need for feedback loops. We postulate that regulatory networks of competing transcription factors prevalent in cells and organisms are crucial for establishing true molecular on/off switches.

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Year:  2000        PMID: 11030351     DOI: 10.1016/s1097-2765(00)00070-8

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  48 in total

1.  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

2.  Genetic selection for modulators of a retinoic-acid-responsive reporter in human cells.

Authors:  Burt Richards; Jon Karpilow; Christine Dunn; Isaac Peterson; Andrew Maxfield; Ludmilla Zharkikh; Majid Abedi; Anthony Hurlburt; Joshua Hardman; Forrest Hsu; Wenhua Li; Matthew Rebentisch; Robert Sandrock; Tanya Sandrock; Alexander Kamb; David H-F Teng
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

3.  Stochastic simulations of the origins and implications of long-tailed distributions in gene expression.

Authors:  Sandeep Krishna; Bidisha Banerjee; T V Ramakrishnan; G V Shivashankar
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-16       Impact factor: 11.205

4.  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

5.  Induction and relaxation dynamics of the regulatory network controlling the type III secretion system encoded within Salmonella pathogenicity island 1.

Authors:  Karsten Temme; Howard Salis; Danielle Tullman-Ercek; Anselm Levskaya; Soon-Ho Hong; Christopher A Voigt
Journal:  J Mol Biol       Date:  2007-12-28       Impact factor: 5.469

Review 6.  Caenorhabditis elegans nuclear receptors: insights into life traits.

Authors:  Daniel B Magner; Adam Antebi
Journal:  Trends Endocrinol Metab       Date:  2008-04-10       Impact factor: 12.015

7.  Building biological memory by linking positive feedback loops.

Authors:  Dong-Eun Chang; Shelly Leung; Mariette R Atkinson; Aaron Reifler; Daniel Forger; Alexander J Ninfa
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-14       Impact factor: 11.205

8.  Spatial epigenetic control of mono- and bistable gene expression.

Authors:  János Z Kelemen; Prasuna Ratna; Simone Scherrer; Attila Becskei
Journal:  PLoS Biol       Date:  2010-03-16       Impact factor: 8.029

9.  Protein sequestration generates a flexible ultrasensitive response in a genetic network.

Authors:  Nicolas E Buchler; Frederick R Cross
Journal:  Mol Syst Biol       Date:  2009-05-19       Impact factor: 11.429

10.  A computational framework for qualitative simulation of nonlinear dynamical models of gene-regulatory networks.

Authors:  Liliana Ironi; Luigi Panzeri
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

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