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Transcriptional regulation by the numbers: Models

  • Lacramioara Bintu
  • , Nicolas E. Buchler
  • , Hernan G. Garcia
  • , Ulrich Gerland
  • , Terence Hwa
  • , Jané Kondev
  • , Rob Phillips
  • Brandeis University
  • Rockefeller University
  • California Institute of Technology
  • Ludwig Maximilian University of Munich
  • University of California at San Diego

Research output: Contribution to journalReview articlepeer-review

472 Scopus citations

Abstract

The expression of genes is regularly characterized with respect to how much, how fast, when and where. Such quantitative data demands quantitative models. Thermodynamic models are based on the assumption that the level of gene expression is proportional to the equilibrium probability that RNA polymerase (RNAP) is bound to the promoter of interest. Statistical mechanics provides a framework for computing these probabilities. Within this framework, interactions of activators, repressors, helper molecules and RNAP are described by a single function, the 'regulation factor'. This analysis culminates in an expression for the probability of RNA polymerase binding at the promoter of interest as a function of the number of regulatory proteins in the cell.

Original languageEnglish
Pages (from-to)116-124
Number of pages9
JournalCurrent Opinion in Genetics and Development
Volume15
Issue number2
DOIs
StatePublished - Apr 2005
Externally publishedYes

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