Evidence map›Paper›PMID 32040509›Full record

ArticlePLoS computational biology2020

Chromatin-enriched RNAs mark active and repressive cis-regulation: An analysis of nuclear RNA-seq.

Xiangying Sun, Zhezhen Wang, Johnathon M Hall, Carlos Perez-Cervantes, Alexander J Ruthenburg, Ivan P Moskowitz, Michael Gribskov, Xinan H Yang

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 51% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Chemical Approaches To Analyzing RNA Structure Transcriptome-Wide.Chembiochem : a European journal of chemical biology · 2021
    Review
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

8 authors at 2 institutions in 1 country.

Xiangying SunDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.
Zhezhen WangDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0002-4505-4673
Johnathon M HallDepartment of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-7469-412X
Carlos Perez-CervantesDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-1352-7322
Alexander J RuthenburgDepartment of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-2709-4564
Ivan P MoskowitzDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-0014-4963
Michael GribskovDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0002-1718-0242
Xinan H YangDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-8061-8692
University of Chicago · USPurdue University West Lafayette · US

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Gene Regulatory Non-Coding RNAs in the Human HeartR01HL148719 · NHLBI · UNIVERSITY OF CHICAGO · PI MOSKOWITZ, IVAN PAUL, RUTHENBURG, ALEXANDER JACKSON · 2019 to 2022
$2.3M
Quantitatively probing intra-nucleosomal chromatin variation and functionR01GM115945 · NIGMS · UNIVERSITY OF CHICAGO · PI RUTHENBURG, ALEXANDER JACKSON · 2016 to 2020
$1.6M
Differential enhancer transcription identifies cis-regulatory elements for diseaseR21LM012619 · NLM · UNIVERSITY OF CHICAGO · PI YANG, XINAN HOLLY · 2017 to 2018
$401k
NHLBI NIH HHS R01 HL148719NIGMS NIH HHS R01 GM115945NIGMS NIH HHS T32 GM007197NLM NIH HHS R21 LM012619
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) localize in the cell nucleus and influence gene expression through a variety of molecular mechanisms. Chromatin-enriched RNAs (cheRNAs) are a unique class of lncRNAs that are tightly bound to chromatin and putatively function to locally cis-activate gene transcription. CheRNAs can be identified by biochemical fractionation of nuclear RNA followed by RNA sequencing, but until now, a rigorous analytic pipeline for nuclear RNA-seq has been lacking. In this study, we survey four computational strategies for nuclear RNA-seq data analysis and develop a new pipeline, Tuxedo-ch, which outperforms other approaches. Tuxedo-ch assembles a more complete transcriptome and identifies cheRNA with higher accuracy than other approaches. We used Tuxedo-ch to analyze benchmark datasets of K562 cells and further characterize the genomic features of intergenic cheRNA (icheRNA) and their similarity to enhancer RNAs (eRNAs). We quantify the transcriptional correlation of icheRNA and adjacent genes and show that icheRNA is more positively associated with neighboring gene expression than eRNA or cap analysis of gene expression (CAGE) signals. We also explore two novel genomic associations of cheRNA, which indicate that cheRNAs may function to promote or repress gene expression in a context-dependent manner. IcheRNA loci with significant levels of H3K9me3 modifications are associated with active enhancers, consistent with the hypothesis that enhancers are derived from ancient mobile elements. In contrast, antisense cheRNA (as-cheRNA) may play a role in local gene repression, possibly through local RNA:DNA:DNA triple-helix formation.

Indexed as

Gene Expression RegulationAnimalsCell NucleusChromatinComputational BiologyEnhancer Elements, GeneticHumansRNARNA, MessengerSequence Analysis, RNAChromatinRNARNA, Messenger

Identifiers

PMID32040509
PMCPMC7034927
OpenAlexW3005108951

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.