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Large-scale mapping and mutagenesis of human transcriptional effector domains

Author

Listed:
  • Nicole DelRosso

    (Stanford University)

  • Josh Tycko

    (Stanford University)

  • Peter Suzuki

    (Stanford University)

  • Cecelia Andrews

    (Stanford University)

  • Aradhana

    (Stanford University)

  • Adi Mukund

    (Stanford University)

  • Ivan Liongson

    (Stanford University)

  • Connor Ludwig

    (Stanford University)

  • Kaitlyn Spees

    (Stanford University)

  • Polly Fordyce

    (Stanford University
    Stanford University
    ChEM-H Institute, Stanford University
    Chan Zuckerberg Biohub)

  • Michael C. Bassik

    (Stanford University)

  • Lacramioara Bintu

    (Stanford University)

Abstract

Human gene expression is regulated by more than 2,000 transcription factors and chromatin regulators1,2. Effector domains within these proteins can activate or repress transcription. However, for many of these regulators we do not know what type of effector domains they contain, their location in the protein, their activation and repression strengths, and the sequences that are necessary for their functions. Here, we systematically measure the effector activity of more than 100,000 protein fragments tiling across most chromatin regulators and transcription factors in human cells (2,047 proteins). By testing the effect they have when recruited at reporter genes, we annotate 374 activation domains and 715 repression domains, roughly 80% of which are new and have not been previously annotated3–5. Rational mutagenesis and deletion scans across all the effector domains reveal aromatic and/or leucine residues interspersed with acidic, proline, serine and/or glutamine residues are necessary for activation domain activity. Furthermore, most repression domain sequences contain sites for small ubiquitin-like modifier (SUMO)ylation, short interaction motifs for recruiting corepressors or are structured binding domains for recruiting other repressive proteins. We discover bifunctional domains that can both activate and repress, some of which dynamically split a cell population into high- and low-expression subpopulations. Our systematic annotation and characterization of effector domains provide a rich resource for understanding the function of human transcription factors and chromatin regulators, engineering compact tools for controlling gene expression and refining predictive models of effector domain function.

Suggested Citation

  • Nicole DelRosso & Josh Tycko & Peter Suzuki & Cecelia Andrews & Aradhana & Adi Mukund & Ivan Liongson & Connor Ludwig & Kaitlyn Spees & Polly Fordyce & Michael C. Bassik & Lacramioara Bintu, 2023. "Large-scale mapping and mutagenesis of human transcriptional effector domains," Nature, Nature, vol. 616(7956), pages 365-372, April.
  • Handle: RePEc:nat:nature:v:616:y:2023:i:7956:d:10.1038_s41586-023-05906-y
    DOI: 10.1038/s41586-023-05906-y
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    Cited by:

    1. Sveinn Bjarnason & Jordan A. P. McIvor & Andreas Prestel & Kinga S. Demény & Jakob T. Bullerjahn & Birthe B. Kragelund & Davide Mercadante & Pétur O. Heidarsson, 2024. "DNA binding redistributes activation domain ensemble and accessibility in pioneer factor Sox2," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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