Literature DB >> 20512969

Functional rules for lac repressor-operator associations and implications for protein-DNA interactions.

Leslie Milk1, Robert Daber, Mitchell Lewis.   

Abstract

The Lac repressor has been used as a tool to understand protein-DNA recognition for many years. Recent experiments have demonstrated the ability of the Lac repressor to control gene expression in various eukaryotic systems, making the quest for an arsenal of protein-DNA binding partners desirable for potential therapeutic applications. Here, we present the results of the most exhaustive screen of Lac repressor-DNA binding partners to date, resulting in the elucidation of functional rules for Lac-DNA binding. Even within the confines of a single protein-DNA scaffold, modes of binding of different protein-DNA partners are sufficiently diverse so as to prevent elucidation of generalized rules for recognition for a single protein, much less an entire protein family.

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Year:  2010        PMID: 20512969      PMCID: PMC2895240          DOI: 10.1002/pro.389

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  36 in total

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Journal:  Genes Dev       Date:  2001-06-15       Impact factor: 11.361

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Journal:  J Mol Biol       Date:  2002-07-26       Impact factor: 5.469

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Journal:  Cell       Date:  1987-02-27       Impact factor: 41.582

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Journal:  Genes Dev       Date:  2001-06-15       Impact factor: 11.361

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Authors:  B von Wilcken-Bergmann; B Müller-Hill
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

9.  A perfectly symmetric lac operator binds the lac repressor very tightly.

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Journal:  Proc Natl Acad Sci U S A       Date:  1983-11       Impact factor: 11.205

10.  Thermodynamic origins of specificity in the lac repressor-operator interaction. Adaptability in the recognition of mutant operator sites.

Authors:  M C Mossing; M T Record
Journal:  J Mol Biol       Date:  1985-11-20       Impact factor: 5.469

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  10 in total

1.  A quantitative understanding of lac repressor's binding specificity and flexibility.

Authors:  Zheng Zuo; Yiming Chang; Gary D Stormo
Journal:  Quant Biol       Date:  2015-05-30

2.  High-resolution specificity from DNA sequencing highlights alternative modes of Lac repressor binding.

Authors:  Zheng Zuo; Gary D Stormo
Journal:  Genetics       Date:  2014-09-09       Impact factor: 4.562

3.  Regulation of Streptococcus mutans PTS Bio by the transcriptional repressor NigR.

Authors:  M Vujanac; V S Iyer; M Sengupta; D Ajdic
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4.  Local gene regulation details a recognition code within the LacI transcriptional factor family.

Authors:  Francisco M Camas; Eric J Alm; Juan F Poyatos
Journal:  PLoS Comput Biol       Date:  2010-11-11       Impact factor: 4.475

5.  Tuning response curves for synthetic biology.

Authors:  Jordan Ang; Edouard Harris; Brendan J Hussey; Richard Kil; David R McMillen
Journal:  ACS Synth Biol       Date:  2013-09-03       Impact factor: 5.110

6.  The LacI-Family Transcription Factor, RbsR, Is a Pleiotropic Regulator of Motility, Virulence, Siderophore and Antibiotic Production, Gas Vesicle Morphogenesis and Flotation in Serratia.

Authors:  Chin M Lee; Rita E Monson; Rachel M Adams; George P C Salmond
Journal:  Front Microbiol       Date:  2017-09-11       Impact factor: 5.640

7.  Mapping DNA sequence to transcription factor binding energy in vivo.

Authors:  Stephanie L Barnes; Nathan M Belliveau; William T Ireland; Justin B Kinney; Rob Phillips
Journal:  PLoS Comput Biol       Date:  2019-02-04       Impact factor: 4.475

8.  Transcriptional programming using engineered systems of transcription factors and genetic architectures.

Authors:  Ronald E Rondon; Thomas M Groseclose; Andrew E Short; Corey J Wilson
Journal:  Nat Commun       Date:  2019-10-21       Impact factor: 14.919

9.  Comparative genomics and evolution of regulons of the LacI-family transcription factors.

Authors:  Dmitry A Ravcheev; Matvei S Khoroshkin; Olga N Laikova; Olga V Tsoy; Natalia V Sernova; Svetlana A Petrova; Aleksandra B Rakhmaninova; Pavel S Novichkov; Mikhail S Gelfand; Dmitry A Rodionov
Journal:  Front Microbiol       Date:  2014-06-11       Impact factor: 5.640

10.  Identification of Position-Specific Correlations between DNA-Binding Domains and Their Binding Sites. Application to the MerR Family of Transcription Factors.

Authors:  Yuriy D Korostelev; Ilya A Zharov; Andrey A Mironov; Alexandra B Rakhmaininova; Mikhail S Gelfand
Journal:  PLoS One       Date:  2016-09-30       Impact factor: 3.240

  10 in total

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