Literature DB >> 19162729

A simplified model for lysogenic regulation through DNA looping.

L Meadow Anderson1, Haw Yang.   

Abstract

The lysogenic state of bacteriophage lambda has been a key model for understanding gene regulation. A single protein, CI repressor, maintains this state by blocking gene expression from two promoters separated by approximately 2.3 kbp of DNA. CI controls its own expression by positive and negative feedback by binding to OR to regulate the PRM promoter. Not only does CI interact directly with operator DNA, but CI tetramers bound to OL and OR can form an octamer, looping the DNA that lies between them. Previous studies show that OL can assist with negative regulation of PRM, and we recently showed that DNA looping can also enhance looping activation. In this paper we present a new interpretation of our recent experimental data based a new crystal structure of CI. The simpler model suggested by the new structural information predicts that the most common forms of the DNA loop have similar activation behavior, and are enhanced approximately 2.2-fold relative to unlooped activation.

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Year:  2008        PMID: 19162729     DOI: 10.1109/IEMBS.2008.4649226

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Stability and instability in the lysogenic state of phage lambda.

Authors:  John W Little; Christine B Michalowski
Journal:  J Bacteriol       Date:  2010-09-24       Impact factor: 3.490

2.  Role of cis-acting sites in stimulation of the phage λ P(RM) promoter by CI-mediated looping.

Authors:  Christine B Michalowski; John W Little
Journal:  J Bacteriol       Date:  2013-05-24       Impact factor: 3.490

3.  Multilevel autoregulation of λ repressor protein CI by DNA looping in vitro.

Authors:  Dale Lewis; Phuoc Le; Chiara Zurla; Laura Finzi; Sankar Adhya
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

Review 4.  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 in total

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