Evidence map›Paper›PMID 38352568›Full record

ArticleResearch square2024

Decoding the Epigenetics and Chromatin Loop Dynamics of Androgen Receptor-Mediated Transcription.

Nathan Lack, Umut Berkay Altintas, Ji-Heu Seo, Claudia Giambartolomei, Dogancan Ozturan, Brad Fortunato, Geoffrey Nelson, Seth Goldman, Karen Adelman, Faraz Hach and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 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

11 authors at 4 institutions in 3 countries.

Nathan Lack
Ji-Heu Seo
Claudia Giambartolomei
Dogancan Ozturan
Brad Fortunato
Seth Goldman
Faraz Hach
Matthew Freedman
The Prostate Centre · GBDana-Farber Cancer Institute · USHarvard University · USHuman Technopole · IT

Funding

(PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactionsR01CA227237 · NCI · DANA-FARBER CANCER INST · PI GUSEV, ALEXANDER, ZAITLEN, NOAH A · 2018 to 2022
$3.5M
Elucidation of the genetic mechanisms driving prostate tumorigenesis through integrative computational and functional approachesR01CA251555 · NCI · DANA-FARBER CANCER INST · PI FREEDMAN, MATTHEW L, PASANIUC, BOGDAN · 2021 to 2025
$3.4M
Elucidating prostate cancer risk mechanisms through large-scale cistrome wide association studiesR01CA262577 · NCI · DANA-FARBER CANCER INST · PI FREEDMAN, MATTHEW L, GIMELBRANT, ALEXANDER · 2022 to 2025
$3.3M
Common biology underlying pleiotropic breast, prostate and ovarian cancer risk lociR01CA259058 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MATTHEW L FREEDMAN, Simon Andrew Gayther · 2022 to 2026
$2.5M
NCI NIH HHS R01 CA227237NCI NIH HHS R01 CA251555NCI NIH HHS R01 CA259058NCI NIH HHS R01 CA262577
6 · The paper itself

Abstract

Androgen receptor (AR)-mediated transcription plays a critical role in normal prostate development and prostate cancer growth. AR drives gene expression by binding to thousands of cis-regulatory elements (CRE) that loop to hundreds of target promoters. With multiple CREs interacting with a single promoter, it remains unclear how individual AR bound CREs contribute to gene expression. To characterize the involvement of these CREs, we investigated the AR-driven epigenetic and chromosomal chromatin looping changes. We collected a kinetic multi-omic dataset comprised of steady-state mRNA, chromatin accessibility, transcription factor binding, histone modifications, chromatin looping, and nascent RNA. Using an integrated regulatory network, we found that AR binding induces sequential changes in the epigenetic features at CREs, independent of gene expression. Further, we showed that binding of AR does not result in a substantial rewiring of chromatin loops, but instead increases the contact frequency of pre-existing loops to target promoters. Our results show that gene expression strongly correlates to the changes in contact frequency. We then proposed and experimentally validated an unbalanced multi-enhancer model where the impact on gene expression of AR-bound enhancers is heterogeneous, and is proportional to their contact frequency with target gene promoters. Overall, these findings provide new insight into AR-mediated gene expression upon acute androgen simulation and develop a mechanistic framework to investigate nuclear receptor mediated perturbations.

Identifiers

PMID38352568
PMCPMC10862967
OpenAlexW4391471453

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.