Literature DB >> 32133534

Quantitative analysis of transcription factor binding and expression using calling cards reporter arrays.

Jiayue Liu1,2, Christian A Shively1,2, Robi D Mitra1,2,3.   

Abstract

We report a tool, Calling Cards Reporter Arrays (CCRA), that measures transcription factor (TF) binding and the consequences on gene expression for hundreds of synthetic promoters in yeast. Using Cbf1p and MAX, we demonstrate that the CCRA method is able to detect small changes in binding free energy with a sensitivity comparable to in vitro methods, enabling the measurement of energy landscapes in vivo. We then demonstrate the quantitative analysis of cooperative interactions by measuring Cbf1p binding at synthetic promoters with multiple sites. We find that the cooperativity between Cbf1p dimers varies sinusoidally with a period of 10.65 bp and energetic cost of 1.37 KBT for sites that are positioned 'out of phase'. Finally, we characterize the binding and expression of a group of TFs, Tye7p, Gcr1p and Gcr2p, that act together as a 'TF collective', an important but poorly characterized model of TF cooperativity. We demonstrate that Tye7p often binds promoters without its recognition site because it is recruited by other collective members, whereas these other members require their recognition sites, suggesting a hierarchy where these factors recruit Tye7p but not vice versa. Our experiments establish CCRA as a useful tool for quantitative investigations into TF binding and function.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2020        PMID: 32133534      PMCID: PMC7229839          DOI: 10.1093/nar/gkaa141

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  72 in total

1.  Characterization of the transcriptional activator CBF1 from Arabidopsis thaliana. Evidence for cold denaturation in regions outside of the DNA binding domain.

Authors:  E Kanaya; N Nakajima; K Morikawa; K Okada; Y Shimura
Journal:  J Biol Chem       Date:  1999-06-04       Impact factor: 5.157

2.  A systems approach to measuring the binding energy landscapes of transcription factors.

Authors:  Sebastian J Maerkl; Stephen R Quake
Journal:  Science       Date:  2007-01-12       Impact factor: 47.728

3.  Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities.

Authors:  Michael F Berger; Anthony A Philippakis; Aaron M Qureshi; Fangxue S He; Preston W Estep; Martha L Bulyk
Journal:  Nat Biotechnol       Date:  2006-09-24       Impact factor: 54.908

Review 4.  Protein binding microarrays for the characterization of DNA-protein interactions.

Authors:  Martha L Bulyk
Journal:  Adv Biochem Eng Biotechnol       Date:  2007       Impact factor: 2.635

5.  Calling Cards enable multiplexed identification of the genomic targets of DNA-binding proteins.

Authors:  Haoyi Wang; David Mayhew; Xuhua Chen; Mark Johnston; Robi David Mitra
Journal:  Genome Res       Date:  2011-04-06       Impact factor: 9.043

6.  Homotypic cooperativity and collective binding are determinants of bHLH specificity and function.

Authors:  Christian A Shively; Jiayue Liu; Xuhua Chen; Kaiser Loell; Robi D Mitra
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-24       Impact factor: 11.205

Review 7.  Enhancer function: new insights into the regulation of tissue-specific gene expression.

Authors:  Chin-Tong Ong; Victor G Corces
Journal:  Nat Rev Genet       Date:  2011-03-01       Impact factor: 53.242

Review 8.  MYC on the path to cancer.

Authors:  Chi V Dang
Journal:  Cell       Date:  2012-03-30       Impact factor: 41.582

9.  Role of GCR2 in transcriptional activation of yeast glycolytic genes.

Authors:  H Uemura; Y Jigami
Journal:  Mol Cell Biol       Date:  1992-09       Impact factor: 4.272

10.  Comparison of protein binding to DNA in vivo and in vitro: defining an effective intracellular target.

Authors:  S W Yang; H A Nash
Journal:  EMBO J       Date:  1995-12-15       Impact factor: 11.598

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  1 in total

1.  Transcriptome Analysis in Yeast Reveals the Externality of Position Effects.

Authors:  Qian Gui; Shuyun Deng; ZhenZhen Zhou; Waifang Cao; Xin Zhang; Wenjun Shi; Xiujuan Cai; Wenbing Jiang; Zifeng Cui; Zheng Hu; Xiaoshu Chen
Journal:  Mol Biol Evol       Date:  2021-07-29       Impact factor: 16.240

  1 in total

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