Literature DB >> 15797194

Transcriptional regulation by the numbers: models.

Lacramioara Bintu1, Nicolas E Buchler, Hernan G Garcia, Ulrich Gerland, Terence Hwa, Jané Kondev, Rob Phillips.   

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.

Mesh:

Year:  2005        PMID: 15797194      PMCID: PMC3482385          DOI: 10.1016/j.gde.2005.02.007

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  36 in total

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Authors:  Erik Aurell; Stanley Brown; Johan Johanson; Kim Sneppen
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-05-16

2.  DNA looping and physical constraints on transcription regulation.

Authors:  José M G Vilar; Stanislas Leibler
Journal:  J Mol Biol       Date:  2003-08-29       Impact factor: 5.469

3.  Physical constraints and functional characteristics of transcription factor-DNA interaction.

Authors:  Ulrich Gerland; J David Moroz; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-06       Impact factor: 11.205

4.  In vivo DNA loops in araCBAD: size limits and helical repeat.

Authors:  D H Lee; R F Schleif
Journal:  Proc Natl Acad Sci U S A       Date:  1989-01       Impact factor: 11.205

5.  Repression of lac promoter as a function of distance, phase and quality of an auxiliary lac operator.

Authors:  J Müller; S Oehler; B Müller-Hill
Journal:  J Mol Biol       Date:  1996-03-22       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  1985-01-20       Impact factor: 5.469

7.  Quantitative model for gene regulation by lambda phage repressor.

Authors:  G K Ackers; A D Johnson; M A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

8.  Kinetic measurements of Escherichia coli RNA polymerase association with bacteriophage T7 early promoters.

Authors:  C J Dayton; D E Prosen; K L Parker; C L Cech
Journal:  J Biol Chem       Date:  1984-02-10       Impact factor: 5.157

9.  Sensitivity of OR in phage lambda.

Authors:  Audun Bakk; Ralf Metzler; Kim Sneppen
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

10.  Gene expression during the life cycle of Drosophila melanogaster.

Authors:  Michelle N Arbeitman; Eileen E M Furlong; Farhad Imam; Eric Johnson; Brian H Null; Bruce S Baker; Mark A Krasnow; Matthew P Scott; Ronald W Davis; Kevin P White
Journal:  Science       Date:  2002-09-27       Impact factor: 47.728

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  299 in total

1.  Stable IL-2 decision making by endogenous c-Fos amounts in peripheral memory T-helper cells.

Authors:  Hanna Bendfeldt; Manuela Benary; Tobias Scheel; Stefan Frischbutter; Anna Abajyan; Andreas Radbruch; Hanspeter Herzel; Ria Baumgrass
Journal:  J Biol Chem       Date:  2012-04-03       Impact factor: 5.157

2.  NFκB and HIF display synergistic behaviour during hypoxic inflammation.

Authors:  Ulrike Bruning; Susan F Fitzpatrick; Till Frank; Marc Birtwistle; Cormac T Taylor; Alex Cheong
Journal:  Cell Mol Life Sci       Date:  2011-11-09       Impact factor: 9.261

3.  Physical limits on cooperative protein-DNA binding and the kinetics of combinatorial transcription regulation.

Authors:  Nico Geisel; Ulrich Gerland
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

4.  Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast.

Authors:  Tali Raveh-Sadka; Michal Levo; Uri Shabi; Boaz Shany; Leeat Keren; Maya Lotan-Pompan; Danny Zeevi; Eilon Sharon; Adina Weinberger; Eran Segal
Journal:  Nat Genet       Date:  2012-05-27       Impact factor: 38.330

5.  Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence.

Authors:  Justin B Kinney; Anand Murugan; Curtis G Callan; Edward C Cox
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

6.  Predicting gene-regulation functions: lessons from temperate bacteriophages.

Authors:  Vladimir B Teif
Journal:  Biophys J       Date:  2010-04-07       Impact factor: 4.033

Review 7.  Modeling bistable cell-fate choices in the Drosophila eye: qualitative and quantitative perspectives.

Authors:  Thomas G W Graham; S M Ali Tabei; Aaron R Dinner; Ilaria Rebay
Journal:  Development       Date:  2010-07       Impact factor: 6.868

8.  TATA is a modular component of synthetic promoters.

Authors:  Ilaria Mogno; Francesco Vallania; Robi D Mitra; Barak A Cohen
Journal:  Genome Res       Date:  2010-07-13       Impact factor: 9.043

9.  Nucleosome-mediated cooperativity between transcription factors.

Authors:  Leonid A Mirny
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-13       Impact factor: 11.205

10.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration.

Authors:  Mattias Rydenfelt; Robert Sidney Cox; Hernan Garcia; Rob Phillips
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06
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