Evidence map›Paper›PMID 38045327›Full record

ArticlebioRxiv : the preprint server for biology2023

Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes.

Yihan Wang, Daniel Armendariz, Lei Wang, Huan Zhao, Shiqi Xie, Gary C Hon

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yihan WangCecil H. and Ida Green Center for Reproductive Biology Sciences.ORCID 0000-0002-0839-0707
Daniel ArmendarizCecil H. and Ida Green Center for Reproductive Biology Sciences.
Lei WangCecil H. and Ida Green Center for Reproductive Biology Sciences.
Huan ZhaoCecil H. and Ida Green Center for Reproductive Biology Sciences.
Shiqi XieCecil H. and Ida Green Center for Reproductive Biology Sciences.
Gary C HonCecil H. and Ida Green Center for Reproductive Biology Sciences.ORCID 0000-0002-1615-0391
Cecil College · US

Funding

Multiscale functional characterization of genomic variation in human developmental disordersUM1HG011996 · NHGRI · UT SOUTHWESTERN MEDICAL CENTER · PI Gary Chung Hon, WILLIAM Lee KRAUS · 2021 to 2026
$10.5M
Combinatorial Biology of Gene Regulation for Cellular EngineeringDP2GM128203 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI HON, GARY CHUNG · 2017 to 2021
$2.9M
NHGRI NIH HHS UM1 HG011996NIGMS NIH HHS DP2 GM128203
6 · The paper itself

Abstract

Genetic studies have associated thousands of enhancers with breast cancer. However, the vast majority have not been functionally characterized. Thus, it remains unclear how variant-associated enhancers contribute to cancer. Here, we perform single-cell CRISPRi screens of 3,512 regulatory elements associated with breast cancer to measure the impact of these regions on transcriptional phenotypes. Analysis of >500,000 single-cell transcriptomes in two breast cancer cell lines shows that perturbation of variant-associated enhancers disrupts breast cancer gene programs. We observe variant-associated enhancers that directly or indirectly regulate the expression of cancer genes. We also find one-to-multiple and multiple-to-one network motifs where enhancers indirectly regulate cancer genes. Notably, multiple variant-associated enhancers indirectly regulate TP53. Comparative studies illustrate sub-type specific functions between enhancers in ER+ and ER- cells. Finally, we developed the pySpade package to facilitate analysis of single-cell enhancer screens. Overall, we demonstrate that enhancers form regulatory networks that link cancer genes in the genome, providing a more comprehensive understanding of the contribution of enhancers to breast cancer development.

Identifiers

PMID38045327
PMCPMC10690208
OpenAlexW4388840082

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.