Evidence map›Paper›PMID 38617258›Full record

ArticlebioRxiv : the preprint server for biology2024

Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation.

M M Inge, R Miller, H Hook, D Bray, J L Keenan, R Zhao, T D Gilmore, T Siggers

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

M M IngeDepartment of Biology, Boston University, Boston, MA, USA.ORCID 0000-0001-7654-8994
R MillerDepartment of Biology, Boston University, Boston, MA, USA.ORCID 0000-0003-0290-6597
H HookDepartment of Biology, Boston University, Boston, MA, USA.
D BrayDepartment of Biology, Boston University, Boston, MA, USA.
J L KeenanDepartment of Biology, Boston University, Boston, MA, USA.
R ZhaoDepartment of Biology, Boston University, Boston, MA, USA.
T D GilmoreDepartment of Biology, Boston University, Boston, MA, USA.ORCID 0000-0002-1910-768X
T SiggersDepartment of Biology, Boston University, Boston, MA, USA.ORCID 0000-0002-8039-7639
Boston University · US

Funding

CASCADE: A high-throughput assay to characterize gene-regulatory complexes affected by single-nucleotide polymorphismsR21HG011289 · NHGRI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SIGGERS, TREVOR · 2020 to 2020
$454k
NHGRI NIH HHS R21 HG011289
6 · The paper itself

Abstract

Transcription factor (TF)-cofactor (COF) interactions define dynamic, cell-specific networks that govern gene expression; however, these networks are understudied due to a lack of methods for high-throughput profiling of DNA-bound TF-COF complexes. Here we describe the Cofactor Recruitment (CoRec) method for rapid profiling of cell-specific TF-COF complexes. We define a lysine acetyltransferase (KAT)-TF network in resting and stimulated T cells. We find promiscuous recruitment of KATs for many TFs and that 35% of KAT-TF interactions are condition specific. KAT-TF interactions identify NF-κB as a primary regulator of acutely induced H3K27ac. Finally, we find that heterotypic clustering of CBP/P300-recruiting TFs is a strong predictor of total promoter H3K27ac. Our data supports clustering of TF sites that broadly recruit KATs as a mechanism for widespread co-occurring histone acetylation marks. CoRec can be readily applied to different cell systems and provides a powerful approach to define TF-COF networks impacting chromatin state and gene regulation.

Identifiers

PMID38617258
PMCPMC11014505
OpenAlexW4394062542

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.