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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
  • Department of Physics
  • Brandeis University
  • Ctr. for Studs. in Phys. and Biology
  • Rockefeller University
  • California Institute of Technology
  • Physics Department
  • Ludwig Maximilian University of Munich
  • Physics Department
  • University of California at San Diego
  • Div. of Eng. and Applied Science

Research output: Contribution to journal › Review article › peer-review

485 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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