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

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      1 , 2 , 1 , 2 , 1 , 2 , 3
      Nucleic Acids Research
      Oxford University Press

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          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 K BT 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.

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          Most cited references60

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          Transcription factors: from enhancer binding to developmental control.

          Developmental progression is driven by specific spatiotemporal domains of gene expression, which give rise to stereotypically patterned embryos even in the presence of environmental and genetic variation. Views of how transcription factors regulate gene expression are changing owing to recent genome-wide studies of transcription factor binding and RNA expression. Such studies reveal patterns that, at first glance, seem to contrast with the robustness of the developmental processes they encode. Here, we review our current knowledge of transcription factor function from genomic and genetic studies and discuss how different strategies, including extensive cooperative regulation (both direct and indirect), progressive priming of regulatory elements, and the integration of activities from multiple enhancers, confer specificity and robustness to transcriptional regulation during development.
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            Reflecting on 25 years with MYC.

            Just over 25 years ago, MYC, the human homologue of a retroviral oncogene, was identified. Since that time, MYC research has been intense and the advances impressive. On reflection, it is astonishing how each incremental insight into MYC regulation and function has also had an impact on numerous biological disciplines, including our understanding of molecular oncogenesis in general. Here we chronicle the major advances in our understanding of MYC biology, and peer into the future of MYC research.
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              FoxOs at the crossroads of cellular metabolism, differentiation, and transformation.

              Forkhead transcription factors of the FoxO subfamily are emerging as a shared component among pathways regulating diverse cellular functions, such as differentiation, metabolism, proliferation, and survival. Their transcriptional output is controlled via a two-tiered mechanism of phosphorylation and acetylation. Modest alterations of this balance can result in profound effects. The gamut of phenotypes runs from protection against diabetes and predisposition to neoplasia, conferred by FoxO loss of function, to increased cellular survival and a marked catabolic response associated with gain of function.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                21 May 2020
                05 March 2020
                05 March 2020
                : 48
                : 9
                : e50
                Affiliations
                [1 ] Department of Genetics, Washington University School of Medicine in St. Louis , St. Louis, MO 63108, USA
                [2 ] The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine in St. Louis , St. Louis, MO 63108, USA
                [3 ] McDonnell Genome Institute, Washington University School of Medicine in St. Louis , St. Louis, MO 63108, USA
                Author notes
                To whom correspondence should be addressed. Tel: +1 314 362 2751; Fax: +1 314 362 4227; Email: rmitra@ 123456genetics.wustl.edu
                Author information
                http://orcid.org/0000-0003-4452-9056
                http://orcid.org/0000-0002-2680-4264
                Article
                gkaa141
                10.1093/nar/gkaa141
                7229839
                32133534
                1b07635a-6733-43bb-a1bb-6003acb3528f
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 February 2020
                : 31 January 2020
                : 18 September 2019
                Page count
                Pages: 17
                Funding
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Award ID: 5R01GM12320302
                Award ID: R21HG009750
                Award ID: 1RF1MH11707001
                Categories
                AcademicSubjects/SCI00010
                Narese/16
                Methods Online

                Genetics
                Genetics

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