Transcriptional regulation by the numbers: models

被引:554
作者
Bintu, L
Buchler, NE
Garcia, HG
Gerland, U
Hwa, T
Kondev, J
Phillips, R [1 ]
机构
[1] CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA
[2] CALTECH, Kavli Nanosci Inst, Pasadena, CA 91125 USA
[3] Brandeis Univ, Dept Phys, Waltham, MA 02454 USA
[4] Rockefeller Univ, Ctr Studies Phys & Biol, New York, NY 10021 USA
[5] CALTECH, Dept Phys, Pasadena, CA 91125 USA
[6] Univ Munich, Dept Phys, Munich, Germany
[7] Univ Munich, CENS, Munich, Germany
[8] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA
[9] Univ Calif San Diego, Ctr Theoret Biol Phys, La Jolla, CA 92093 USA
关键词
D O I
10.1016/j.gde.2005.02.007
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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.
引用
收藏
页码:116 / 124
页数:9
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