TY - JOUR
T1 - Comparative cofactor screens show the influence of transactivation domains and core promoters on the mechanisms of transcription
AU - Bell, Charles C.
AU - Balic, Jesse J.
AU - Talarmain, Laure
AU - Gillespie, Andrea
AU - Scolamiero, Laura
AU - Lam, Enid Y.N.
AU - Ang, Ching Seng
AU - Faulkner, Geoffrey J.
AU - Gilan, Omer
AU - Dawson, Mark A.
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85193595806&partnerID=8YFLogxK
U2 - 10.1038/s41588-024-01749-z
DO - 10.1038/s41588-024-01749-z
M3 - Article
C2 - 38769457
AN - SCOPUS:85193595806
SN - 1061-4036
VL - 56
SP - 1181
EP - 1192
JO - Nature Genetics
JF - Nature Genetics
IS - 6
ER -