Large-scale mapping and mutagenesis of human transcriptional effector domains.
Large-scale mapping and mutagenesis of human transcriptional effector domains.
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DOI:
10.1038/s41586-023-05906-y
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发表时间:
2023-04
期刊:
影响因子:
64.8
通讯作者:
Bintu, Lacramioara
中科院分区:
文献类型:
--
作者:
DelRosso, Nicole;Tycko, Josh;Suzuki, Peter;Andrews, Cecelia;Mukund, Adi;Liongson, Ivan;Ludwig, Connor;Spees, Kaitlyn;Fordyce, Polly;Bassik, Michael C.;Bintu, Lacramioara
Human gene expression is regulated by over 2,000 transcription factors and chromatin regulators. 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 >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, ~80% of which are novel and not previously annotated. 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, most 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, 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.
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DOI:
10.15252/embj.201798896
发表时间:
2018-08-15
期刊:
The EMBO journal
影响因子:
--
作者:
Arnold CD;Nemčko F;Woodfin AR;Wienerroither S;Vlasova A;Schleiffer A;Pagani M;Rath M;Stark A
通讯作者:
Stark A
DOI:
10.1126/science.aab2956
发表时间:
2016-02-12
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bintu L;Yong J;Antebi YE;McCue K;Kazuki Y;Uno N;Oshimura M;Elowitz MB
通讯作者:
Elowitz MB
DOI:
10.15252/embj.2022112100
发表时间:
2023-02-01
期刊:
The EMBO journal
影响因子:
--
作者:
通讯作者:
--
影响因子:
16
作者:
Erijman, Ariel;Kozlowski, Lukasz;Hahn, Steven
通讯作者:
Hahn, Steven
DOI:
10.1073/pnas.91.1.192
发表时间:
1994-01-04
影响因子:
11.1
作者:
GILL, G;PASCAL, E;TJIAN, R
通讯作者:
TJIAN, R