Literature DB >> 21389103

In vitro DNA-binding profile of transcription factors: methods and new insights.

Jinke Wang1, Jie Lu, Guangming Gu, Yingxun Liu.   

Abstract

The DNA-binding specificity of transcription factors (TFs) has broad impacts on cell physiology, cell development and in evolution. However, the DNA-binding specificity of most known TFs still remains unknown. The specificity of a TF protein is determined by its relative affinity to all possible binding sites. In recent years, the development of several in vitro techniques permits high-throughput determination of relative binding affinity of a TF to all possible k bp-long DNA sequences, thus greatly promoting the characterization of DNA-binding specificity of many known TFs. All DNA sequences that can be bound by a TF with various binding affinities form their DNA-binding profile (DBP). The DBP is important to generate an accurate DNA-binding model, identify all DNA-binding sites and target genes of TFs in the whole genome, and build transcription regulatory network. This study reviewed these techniques, especially two master techniques: double-stranded DNA microarray and systematic evolution of ligands by exponential enrichment in combination with parallel DNA sequencing techniques (SELEX-seq).
© 2011 Society for Endocrinology

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Year:  2011        PMID: 21389103     DOI: 10.1530/JOE-11-0010

Source DB:  PubMed          Journal:  J Endocrinol        ISSN: 0022-0795            Impact factor:   4.286


  11 in total

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4.  Defining the DNA uptake specificity of naturally competent Haemophilus influenzae cells.

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5.  Interactions between the R2R3-MYB transcription factor, AtMYB61, and target DNA binding sites.

Authors:  Michael B Prouse; Malcolm M Campbell
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

6.  Massively parallel determination and modeling of endonuclease substrate specificity.

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7.  A Robust Analytical Pipeline for Genome-Wide Identification of the Genes Regulated by a Transcription Factor: Combinatorial Analysis Performed Using gSELEX-Seq and RNA-Seq.

Authors:  Takaaki Kojima; Emi Kunitake; Kunio Ihara; Tetsuo Kobayashi; Hideo Nakano
Journal:  PLoS One       Date:  2016-07-13       Impact factor: 3.240

8.  Photoaffinity labeling of transcription factors by DNA-templated crosslinking.

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Journal:  Chem Sci       Date:  2014-10-01       Impact factor: 9.825

9.  SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics.

Authors:  Dana Chen; Yaron Orenstein; Rada Golodnitsky; Michal Pellach; Dorit Avrahami; Chaim Wachtel; Avital Ovadia-Shochat; Hila Shir-Shapira; Adi Kedmi; Tamar Juven-Gershon; Ron Shamir; Doron Gerber
Journal:  Sci Rep       Date:  2016-09-15       Impact factor: 4.379

10.  Prediction and Validation of Transcription Factors Modulating the Expression of Sestrin3 Gene Using an Integrated Computational and Experimental Approach.

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Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

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