Transcriptional regulation by the numbers: applications

被引:274
作者
Bintu, L
Buchler, NE
Garcia, HG
Gerland, U
Hwa, T [1 ]
Kondev, J
Kuhlman, T
Phillips, R
机构
[1] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Ctr Theoret Biol Phys, La Jolla, CA 92093 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] CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA
[9] CALTECH, Kavli Nanosci Inst, Pasadena, CA 91125 USA
关键词
D O I
10.1016/j.gde.2005.02.006
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
With the increasing amount of experimental data on gene expression and regulation, there is a growing need for quantitative models to describe the data and relate them to their respective context. Thermodynamic models provide a useful framework for the quantitative analysis of bacterial transcription regulation. This framework can facilitate the quantification of vastly different forms of gene expression from several well-characterized bacterial promoters that are regulated by one or two species of transcription factors; it is useful because it requires only a few parameters. As such, it provides a compact description useful for higher-level studies (e.g. of genetic networks) without the need to invoke the biochemical details of every component. Moreover, it can be used to generate hypotheses on the likely mechanisms of transcriptional control.
引用
收藏
页码:125 / 135
页数:11
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