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A Comprehensive Drosophila melanogaster Transcription Factor Interactome

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > General Biochemistry, Genetics and Molecular Biology
Uncontrolled Keywords:General Biochemistry, Genetics and Molecular Biology
Language:English
Date:1 April 2019
Deposited On:18 Feb 2020 10:08
Last Modified:06 Sep 2024 03:30
Publisher:Cell Press (Elsevier)
ISSN:2211-1247
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.celrep.2019.03.071
PubMed ID:30995488
Project Information:
  • Funder: SNSF
  • Grant ID: CRSI33_127485
  • Project Title: Structural and dynamic properties of post-embryonic gene regulatory networks in Drosophila
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  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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