Literature DB >> 17259278

A quantitative study of lambda-phage SWITCH and its components.

Chunbo Lou1, Xiaojing Yang, Xili Liu, Bin He, Qi Ouyang.   

Abstract

We propose what we believe is a new model to quantitatively describe the lambda-phage SWITCH system. The model incorporates facilitated transfer mechanism of transcription factor, which can be simplified into a two-step reaction. We first sequentially obtain two indispensable parameters by fitting our model to experimental data of two simple systems, and then apply them to study the natural lambda-SWITCH system. By incorporating the facilitated transfer mechanism, we find that in RecA(-) host Escherichia coli, the wild-type lambda-lysogenic state is in a monostable regime rather than in a bistable regime. Furthermore, the model explains the weak role of Cro protein and probably sheds light on the evolution of lambda-Cro protein, which is known to be structurally distinct from the other Cros in lambdoid family members.

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Year:  2007        PMID: 17259278      PMCID: PMC1831702          DOI: 10.1529/biophysj.106.097089

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  43 in total

1.  Octamerization of lambda CI repressor is needed for effective repression of P(RM) and efficient switching from lysogeny.

Authors:  I B Dodd; A J Perkins; D Tsemitsidis; J B Egan
Journal:  Genes Dev       Date:  2001-11-15       Impact factor: 11.361

2.  Epigenetics as a first exit problem.

Authors:  E Aurell; K Sneppen
Journal:  Phys Rev Lett       Date:  2002-01-08       Impact factor: 9.161

3.  Stability puzzles in phage lambda.

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

4.  On the relation between fluctuation and response in biological systems.

Authors:  Katsuhiko Sato; Yoichiro Ito; Tetsuya Yomo; Kunihiko Kaneko
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-13       Impact factor: 11.205

Review 5.  Facilitated target location in biological systems.

Authors:  P H von Hippel; O G Berg
Journal:  J Biol Chem       Date:  1989-01-15       Impact factor: 5.157

6.  Target search of N sliding proteins on a DNA.

Authors:  Igor M Sokolov; Ralf Metzler; Kiran Pant; Mark C Williams
Journal:  Biophys J       Date:  2005-05-20       Impact factor: 4.033

7.  The essential role of the cro gene in lytic development by bacteriophage lambda.

Authors:  A Folkmanis; W Maltzman; P Mellon; A Skalka; H Echols
Journal:  Virology       Date:  1977-09       Impact factor: 3.616

8.  Diffusion-driven mechanisms of protein translocation on nucleic acids. 3. The Escherichia coli lac repressor--operator interaction: kinetic measurements and conclusions.

Authors:  R B Winter; O G Berg; P H von Hippel
Journal:  Biochemistry       Date:  1981-11-24       Impact factor: 3.162

9.  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

10.  Sensitivity of OR in phage lambda.

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

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  4 in total

1.  DNA looping provides stability and robustness to the bacteriophage lambda switch.

Authors:  Marco J Morelli; Pieter Rein Ten Wolde; Rosalind J Allen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-01       Impact factor: 11.205

2.  Stochastic probability landscape model for switching efficiency, robustness, and differential threshold for induction of genetic circuit in phage lambda.

Authors:  Youfang Cao; Hsiao-Mei Lu; Jie Liang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

Review 3.  Qualitatively distinct phenotypes in the design space of biochemical systems.

Authors:  Michael A Savageau; Rick A Fasani
Journal:  FEBS Lett       Date:  2009-12-17       Impact factor: 4.124

4.  Transcription-factor-mediated DNA looping probed by high-resolution, single-molecule imaging in live E. coli cells.

Authors:  Zach Hensel; Xiaoli Weng; Arvin Cesar Lagda; Jie Xiao
Journal:  PLoS Biol       Date:  2013-06-18       Impact factor: 8.029

  4 in total

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