Cited by 30Genomics and Chromatin DynamicsChromatin Remodeling and CancerGene Regulatory Network Analysis

Comparative cofactor screens show the influence of transactivation domains and core promoters on the mechanisms of transcription

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Bell, Charles C., Balic, Jesse J., Talarmain, Laure, Gillespie, Andrea, Scolamiero, Laura, Lam, Enid Y. N., Ang, Ching-Seng, Faulkner, Geoffrey J. +2 more·2024·Nature Genetics

Published version of a preprint

Abstract

Eukaryotic transcription factors (TFs) activate gene expression by recruiting cofactors to promoters. However, the relationships between TFs, promoters and their associated cofactors remain poorly understood. Here we combine GAL4-transactivation assays with comparative CRISPR-Cas9 screens to identify the cofactors used by nine different TFs and core promoters in human cells. Using this dataset, we associate TFs with cofactors, classify cofactors as ubiquitous or specific and discover transcriptional co-dependencies. Through a reductionistic, comparative approach, we demonstrate that TFs do not display discrete mechanisms of activation. Instead, each TF depends on a unique combination of cofactors, which influences distinct steps in transcription. By contrast, the influence of core promoters appears relatively discrete. Different promoter classes are constrained by either initiation or pause-release, which influences their dynamic range and compatibility with cofactors. Overall, our comparative cofactor screens characterize the interplay between TFs, cofactors and core promoters, identifying general principles by which they influence transcription.

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  • 33/38 factors included in this study contained repressor domains.

    “This model is also supported by the observation that 33/38 factors included in this study contained repressor domains49 and by recent data demonstrating that different co-factors of the same TF modulate different steps in a transcriptional cycle.55”

    From Design principles of cell-state-specific enhancers in hematopoiesis (2025) · cites this paper as [55]

    The Establishing a transcription factor-based screening system section describes nine transcription factors and the activation domains used in the screens. Neither it nor the other retrieved passages reports that 33 of 38 factors contained repressor domains (searched: “33/38 factors repressor domains,” “repressor domains 38 transcription factors,” and “repressor”). (LLM, conf=0.76)

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Research works printed but not linked: 6

  1. C. C. Galouzis, E. E. M. Furlong, Regulating specificity in enhancer-promoter communication. Curr. Opin. Cell Biol. 75, 102065 (2022).
  2. J. L. Schmid-Burgk, K. Höning, T. S. Ebert, V. Hornung, CRISPaint allows modular base-specific gene tagging using a ligase-4-dependent mechanism. Nat. Commun. 7, 12338 (2016).
  3. H. Zheng, Y. Qi, S. Hu, X. Cao, C. Xu, Z. Yin, X. Chen, Y. Li, W. Liu, J. Li, J. Wang, G. Wei, K. Liang, F. X. Chen, Y. Xu, Identification of Integrator-PP2A complex (INTAC), an RNA polymerase II phosphatase. Science. 370 (2020), doi:10.1126/science.abb5872. · DOI
  4. J. T. Kadonaga, Perspectives on the RNA polymerase II core promoter. Wiley Interdiscip. Rev. Dev. Biol. 1, 40-51 (2012).
  5. R. K. Louder, Y. He, J. R. López-blanco, J. Fang, P. Chacón, E. Nogales, Structure of promoter-bound TFIID and model of human pre-initiation complex assembly. Nature (2016), doi:10.1038/nature17394. · DOI
  6. L. Core, K. Adelman, Promoter-proximal pausing of RNA polymerase II: A nexus of preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. gene regulation. Genes Dev. 33, 960-982 (2019).

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Authors
Bell, C. C., Balic, J. J., Talarmain, L., Gillespie, A., Scolamiero, L., Lam, E. Y. N., Ang, C.-S., Faulkner, G. J., Gilan, O., & Dawson, M. A.
Affiliations
  • The University of Queensland (AU)
  • The University of Melbourne (AU)
  • Peter MacCallum Cancer Centre (AU)
Corresponding author
  • Bell, Charles C.
  • Dawson, Mark A.
Venue
Nature Genetics
Published
2024-05-20
Volume
56
Issue
6
Pages
1181-1192
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W4398139183
Cited by
30
References
10
Citations by year
2026: 11 · 2025: 11 · 2024: 4 · 2023: 4
FWCI
3.36
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
Funders
  • Department of Health | National Health and Medical Research Council (1196749)
  • Howard Hughes Medical Institute (55008729)
  • Department of Education and Training | Australian Research Council (DP220103927)
  • Cancer Council Victoria (200603)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
transcription factors, transcriptional cofactors, core promoter, transactivation domain, CRISPR-Cas9 screen, transcription initiation, pause release, cofactor specificity, human cells
MeSH terms
Gene Expression Regulation, Humans, Promoter Regions, Genetic, Transcription Factors, Transcription, Genetic, Transcriptional Activation, CRISPR-Cas Systems

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