Evidence map›Paper›PMID 38908026›Full record

ArticleNucleic acids research2024

Differential impact of quiescent non-coding loci on chromatin entropy.

Peiyao Wu, Mina Yao, Wei Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Peiyao WuDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, USA.ORCID 0009-0006-0943-2178
Mina YaoDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, USA.
Wei WangDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, USA.ORCID 0000-0003-4377-5060

Funding

Integrated analysis of genetic variation and epigenomic dataR01HG009626 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2017 to 2025
$4.5M
California Institute for Regenerative Medicine RB5-07012NHGRI NIH HHS R01 HG009626NIH HHS R01HG009626
6 · The paper itself

Abstract

Non-coding regions of the human genome are important for functional regulations, but their mechanisms remain elusive. We used machine learning to guide a CRISPR screening on hubs (i.e. non-coding loci forming many 3D contacts) and significantly increased the discovery rate of hubs essential for cell growth. We found no clear genetic or epigenetic differences between essential and nonessential hubs, but we observed that some neighboring hubs in the linear genome have distinct spatial contacts and opposite effects on cell growth. One such pair in an epigenetically quiescent region showed different impacts on gene expression, chromatin accessibility and chromatin organization. We also found that deleting the essential hub altered the genetic network activity and increased the entropy of chromatin accessibility, more severe than that caused by deletion of the nonessential hub, suggesting that they are critical for maintaining an ordered chromatin structure. Our study reveals new insights into the system-level roles of non-coding regions in the human genome.

Indexed as

ChromatinEntropyGenome, HumanCRISPR-Cas SystemsEpigenesis, GeneticGene Regulatory NetworksGenetic LociHumansMachine LearningChromatin

Identifiers

PMID38908026
PMCPMC11347155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.