Literature DB >> 17652330

An analytical rate expression for the kinetics of gene transcription mediated by dimeric transcription factors.

Hsih-Te Yang1, Chao-Ping Hsu, Ming-Jing Hwang.   

Abstract

To model gene transcription kinetics, empirical fitting with the Hill function or S-system is often used. In this study, we derived an analytical expression for gene transcription rates in a manner similar to that developed for enzyme kinetics to describe the kinetics of gene transcription mediated by dimeric transcription factors (TFs) such as Gcn4p, a Saccharomyces cerevisiae master gene regulator. We showed that the analytical rate expression and its parameters estimated from several sets of experimental data could accurately reproduce the experimentally measured promoter-binding activity of Gcn4p. Furthermore, the analytical rate expression allowed us to derive analytically, rather than fit empirically, the parameters of the Hill function and S-system for use in modelling transcription kinetics. We found that a plot of gene transcription rate against Gcn4p concentration gave a sigmoidal dose-response curve with a positive co-operativity Hill coefficient (approximately 1.25), in accordance with previous experimental findings on the promoter binding of dimeric TFs. The characteristics of the dose-response curve around the estimated cellular Gcn4p concentration suggest that transcription regulation is efficiently controlled under physiological conditions. This work is a useful initial step towards analytically modelling and simulating complicated gene transcription networks.

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Year:  2007        PMID: 17652330     DOI: 10.1093/jb/mvm151

Source DB:  PubMed          Journal:  J Biochem        ISSN: 0021-924X            Impact factor:   3.387


  3 in total

1.  Analysis and verification of the HMGB1 signaling pathway.

Authors:  Haijun Gong; Paolo Zuliani; Anvesh Komuravelli; James R Faeder; Edmund M Clarke
Journal:  BMC Bioinformatics       Date:  2010-10-15       Impact factor: 3.169

2.  Non-equilibrium hyperbolic transport in transcriptional regulation.

Authors:  Enrique Hernández-Lemus; María D Correa-Rodríguez
Journal:  PLoS One       Date:  2011-07-06       Impact factor: 3.240

3.  Stochastic modeling for the expression of a gene regulated by competing transcription factors.

Authors:  Hsih-Te Yang; Minoru S H Ko
Journal:  PLoS One       Date:  2012-03-14       Impact factor: 3.240

  3 in total

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