Literature DB >> 17620328

Putting numbers on the network connections.

Gary D Stormo1, Yue Zhao.   

Abstract

DNA-protein interactions are fundamental to many biological processes, including the regulation of gene expression. Determining the binding affinities of transcription factors (TFs) to different DNA sequences allows the quantitative modeling of transcriptional regulatory networks and has been a significant technical challenge in molecular biology for many years. A recent paper by Maerkl and Quake1 demonstrated the use of microfluidic technology for the analysis of DNA-protein interactions. An array of short DNA sequences was spotted onto a glass slide, which was then covered with a microfluidic device allowing each spot to be within a chamber into which the flow of materials was controlled by valves. By trapping the DNA-protein complexes on the surface and measuring their concentrations microscopically, they could determine the binding affinity to a large number of DNA sequences that were varied systematically. They studied four TFs from the basic helix-loop-helix family of proteins, all of which bind to E-box sites with the consensus CAnnTG (where "n" can be any base), and showed that variations in affinity for different sites allows each TF to regulate different genes. (c) 2007 Wiley Periodicals, Inc.

Mesh:

Substances:

Year:  2007        PMID: 17620328     DOI: 10.1002/bies.20617

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  8 in total

1.  Improved models for transcription factor binding site identification using nonindependent interactions.

Authors:  Yue Zhao; Shuxiang Ruan; Manishi Pandey; Gary D Stormo
Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

Review 2.  Determining the specificity of protein-DNA interactions.

Authors:  Gary D Stormo; Yue Zhao
Journal:  Nat Rev Genet       Date:  2010-09-28       Impact factor: 53.242

3.  Maximally efficient modeling of DNA sequence motifs at all levels of complexity.

Authors:  Gary D Stormo
Journal:  Genetics       Date:  2011-02-07       Impact factor: 4.562

4.  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

5.  Modeling the specificity of protein-DNA interactions.

Authors:  Gary D Stormo
Journal:  Quant Biol       Date:  2013-06

6.  Inferring binding energies from selected binding sites.

Authors:  Yue Zhao; David Granas; Gary D Stormo
Journal:  PLoS Comput Biol       Date:  2009-12-04       Impact factor: 4.475

7.  Modeling the quantitative specificity of DNA-binding proteins from example binding sites.

Authors:  Dana S F Homsi; Vineet Gupta; Gary D Stormo
Journal:  PLoS One       Date:  2009-08-25       Impact factor: 3.240

8.  Reliable scaling of position weight matrices for binding strength comparisons between transcription factors.

Authors:  Xiaoyan Ma; Daphne Ezer; Carmen Navarro; Boris Adryan
Journal:  BMC Bioinformatics       Date:  2015-08-20       Impact factor: 3.169

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.