Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions

Although transcription factor (TF) cooperativity is widespread, a global mechanistic understanding of the role of TF cooperativity is still lacking. Here the authors introduce a statistical learning framework that provides structural insight into TF cooperativity and its functional consequences base...

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Bibliographic Details
Main Authors: Ignacio L. Ibarra, Nele M. Hollmann, Bernd Klaus, Sandra Augsten, Britta Velten, Janosch Hennig, Judith B. Zaugg
Format: article
Language:EN
Published: Nature Portfolio 2020
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Online Access:https://doaj.org/article/72d38bbd5c5341449dcf400e10a51167
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Summary:Although transcription factor (TF) cooperativity is widespread, a global mechanistic understanding of the role of TF cooperativity is still lacking. Here the authors introduce a statistical learning framework that provides structural insight into TF cooperativity and its functional consequences based on next generation sequencing data and provide mechanistic insights into TF cooperativity and its impact on protein-phenotype interactions.