DataSets / Project home (Transcriptional activators)
Identification and functional characterization of transcriptional activators in human cells
First Author: Nader Alerasool
  Here, we conduct an unbiased proteome-scale screen to systematically uncover human proteins that activate transcription in a natural chromatin context. By combining interaction proteomics and chemical inhibitors, we delineate the preference of these transcriptional activators for specific co-activators, highlighting how even closely related TFs can function via distinct cofactors. We also identify potent transactivation domains among the hits and use AlphaFold2 to predict and experimentally validate interaction interfaces of two novel and noncanonical activation domains with BRD4. Finally, we show that many novel activators are partners in fusion events in tumors and functionally characterize a myofibroma-associated fusion between SRF and C3orf62, a potent p300-dependent activator. Our work provides a functional catalogue of potent transactivators in the human proteome and a platform for discovering transcriptional regulators at genome scale.This dataset is part of a manuscript submitted for publication.

Please contact Mikko Taipale for questions on the manuscript (; Anne-Claude Gingras ( can be contacted for details on the interaction datasets.

Navigating this website

• The data included here is by default filtered with BFDR (Bayesian FDR) of ≤5%, as calculated by SAINTexpress; unselect the "high confidence" buttons to view all data.

Select "Explore baits" (left) to view all baits profiled, organized alphabetically (view as a list). Clicking on a bait will retrieve all its interactors (high confidence by default) and indicate which interactions are already deposited in the BioGRID and IntAct databases.

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• Also see the many links to excellent external resources for the baits and/or preys, including ProteinAtlas, ProteomicsDB, NCBI Gene, GeneCards and UniProt.

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Note that the mass spectrometry data has been deposited at MassIVE.