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Large-scale mapping and systematic mutagenesis of human transcriptional effector domains

View ORCID ProfileNicole DelRosso, View ORCID ProfileJosh Tycko, View ORCID ProfilePeter Suzuki, Cecelia Andrews, Aradhana, View ORCID ProfileAdi Mukund, Ivan Liongson, Connor Ludwig, Kaitlyn Spees, View ORCID ProfilePolly Fordyce, View ORCID ProfileMichael C. Bassik, View ORCID ProfileLacramioara Bintu
doi: https://doi.org/10.1101/2022.08.26.505496
Nicole DelRosso
1Biophysics Program, Stanford University, Stanford, CA 94305, USA
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Josh Tycko
2Department of Genetics, Stanford University, Stanford, CA 94305, USA
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Peter Suzuki
3Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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Cecelia Andrews
4Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
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Aradhana
2Department of Genetics, Stanford University, Stanford, CA 94305, USA
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Adi Mukund
1Biophysics Program, Stanford University, Stanford, CA 94305, USA
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Ivan Liongson
5Department of Biology, Stanford University, Stanford, CA 94305, USA
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Connor Ludwig
3Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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Kaitlyn Spees
2Department of Genetics, Stanford University, Stanford, CA 94305, USA
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Polly Fordyce
2Department of Genetics, Stanford University, Stanford, CA 94305, USA
3Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
6ChEM-H Institute, Stanford University, Stanford, CA 94305, USA
7Chan Zuckerberg Biohub, San Francisco, CA 94110, USA
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Michael C. Bassik
2Department of Genetics, Stanford University, Stanford, CA 94305, USA
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Lacramioara Bintu
3Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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  • For correspondence: lbintu@stanford.edu
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Summary

Human gene expression is regulated by over two thousand 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 transcriptional effector domains they contain, their location in the protein, their activation and repression strengths, and the amino acids that are necessary for their functions. Here, we systematically measure the transcriptional effector activity of >100,000 protein fragments (each 80 amino acids long) 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 307 new activation domains and 592 new repression domains, a ∼5-fold increase over the number of previously annotated effectors3,4. Complementary 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. Additionally, the majority of repression domain sequences contain either sites for SUMOylation, short interaction motifs for recruiting co-repressors, or are structured binding domains for recruiting other repressive proteins. Surprisingly, we discover bifunctional domains that can both activate and repress and can dynamically split a cell population into high- and low-expression subpopulations. Our systematic annotation and characterization of transcriptional effector domains provides a rich resource for understanding the function of human transcription factors and chromatin regulators, engineering compact tools for controlling gene expression, and refining predictive computational models of effector domain function.

Competing Interest Statement

Stanford has filed a provisional patent related to this work.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted August 26, 2022.
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Large-scale mapping and systematic mutagenesis of human transcriptional effector domains
Nicole DelRosso, Josh Tycko, Peter Suzuki, Cecelia Andrews, Aradhana, Adi Mukund, Ivan Liongson, Connor Ludwig, Kaitlyn Spees, Polly Fordyce, Michael C. Bassik, Lacramioara Bintu
bioRxiv 2022.08.26.505496; doi: https://doi.org/10.1101/2022.08.26.505496
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Large-scale mapping and systematic mutagenesis of human transcriptional effector domains
Nicole DelRosso, Josh Tycko, Peter Suzuki, Cecelia Andrews, Aradhana, Adi Mukund, Ivan Liongson, Connor Ludwig, Kaitlyn Spees, Polly Fordyce, Michael C. Bassik, Lacramioara Bintu
bioRxiv 2022.08.26.505496; doi: https://doi.org/10.1101/2022.08.26.505496

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