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      A Comprehensive Drosophila melanogaster Transcription Factor Interactome

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          SUMMARY

          Combinatorial interactions among transcription factors (TFs) play essential roles in generating gene expression specificity and diversity in metazoans. Using yeast 2-hybrid (Y2H) assays on nearly all sequence-specific Drosophila TFs, we identified 1,983 protein-protein interactions (PPIs), more than doubling the number of currently known PPIs among Drosophila TFs. For quality assessment, we validated a subset of our interactions using MITOMI and bimolecular fluorescence complementation assays. We combined our interactome with prior PPI data to generate an integrated Drosophila TF-TF binary interaction network. Our analysis of ChIP-seq data, integrating PPI and gene expression information, uncovered different modes by which interacting TFs are recruited to DNA. We further demonstrate the utility of our Drosophila interactome in shedding light on human TF-TF interactions. This study reveals how TFs interact to bind regulatory elements in vivo and serves as a resource of Drosophila TF-TF binary PPIs for understanding tissue-specific gene regulation.

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          In Brief

          Combinatorial regulation by transcription factors (TFs) is one mechanism for achieving condition and tissue-specific gene regulation. Shokri et al. mapped TF-TF interactions between most Drosophila TFs, reporting a comprehensive TF-TF network integrated with previously known interactions. They used this network to discern distinct TF-DNA binding modes.

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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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            Using FlyAtlas to identify better Drosophila melanogaster models of human disease.

            FlyAtlas, a new online resource, provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissue-specific signals.
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              Ensembl BioMarts: a hub for data retrieval across taxonomic space

              For a number of years the BioMart data warehousing system has proven to be a valuable resource for scientists seeking a fast and versatile means of accessing the growing volume of genomic data provided by the Ensembl project. The launch of the Ensembl Genomes project in 2009 complemented the Ensembl project by utilizing the same visualization, interactive and programming tools to provide users with a means for accessing genome data from a further five domains: protists, bacteria, metazoa, plants and fungi. The Ensembl and Ensembl Genomes BioMarts provide a point of access to the high-quality gene annotation, variation data, functional and regulatory annotation and evolutionary relationships from genomes spanning the taxonomic space. This article aims to give a comprehensive overview of the Ensembl and Ensembl Genomes BioMarts as well as some useful examples and a description of current data content and future objectives. Database URLs: http://www.ensembl.org/biomart/martview/; http://metazoa.ensembl.org/biomart/martview/; http://plants.ensembl.org/biomart/martview/; http://protists.ensembl.org/biomart/martview/; http://fungi.ensembl.org/biomart/martview/; http://bacteria.ensembl.org/biomart/martview/
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                18 April 2019
                16 April 2019
                26 April 2019
                : 27
                : 3
                : 955-970.e7
                Affiliations
                [1 ]Department of Medicine, Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
                [2 ]Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
                [3 ]Systems Biology Graduate Program, Harvard University, Cambridge, MA 02138, USA
                [4 ]Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences,École Polytechnique Fédérale de Lausanne, Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
                [5 ]Bioinformatics and Integrative Genomics Ph.D. Program, Harvard University, Cambridge, MA 02138, USA
                [6 ]Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
                [7 ]Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
                [8 ]These authors contributed equally
                [9 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                B.D. and M.L.B. designed the overall research project and supervised the research. L.S., A.H., K.H., and J.-D.F. performed the Y2H experiments. R.D. performed the MITOMI assays. J.B., E.F., and K.B. performed the BiFC assays. L.S. and A.V. performed the PBM assays. L.S., A.H., S.I., S.S.G., and K.W. performed the computational analyses. L.S., S.I., B.D., and M.L.B. wrote the manuscript.

                Article
                NIHMS1527199
                10.1016/j.celrep.2019.03.071
                6485956
                30995488
                9e429a37-f129-48bf-a849-1bbfad6cafee

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Cell biology
                Cell biology

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