Evidence map›Paper›PMID 33235186›Full record

ArticleNature communications2020

Population-scale study of eRNA transcription reveals bipartite functional enhancer architecture.

Katla Kristjánsdóttir, Alexis Dziubek, Hyun Min Kang, Hojoong Kwak

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

45 citing papers in PubMed, 60 citations in OpenAlex.

  1. TheiScience · 2026
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  5. Metamorphosis and lncRNAs: A Close Relationship.Genesis (New York, N.Y. : 2000) · 2026
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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

4 authors at 2 institutions in 1 country.

Katla KristjánsdóttirDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-5837-895X
Alexis DziubekDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-6621-0700
Hyun Min KangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA. hmkang@umich.edu.
Hojoong KwakDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA. hk572@cornell.edu.ORCID 0000-0003-3932-8946
Cornell University · USUniversity of Michigan · US

Funding

Scalable and Translational Analysis Tools on the Cloud for Deep Integrative Omics DataU01HL137182 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHOU, XIANG · 2017 to 2019
$1.6M
NHLBI NIH HHS U01 HL137182
6 · The paper itself

Abstract

Enhancer RNAs (eRNA) are unstable non-coding RNAs, transcribed bidirectionally from active regulatory sequences, whose expression levels correlate with enhancer activity. We use capped-nascent-RNA sequencing to efficiently capture bidirectional transcription initiation across several human lymphoblastoid cell lines (Yoruba population) and detect ~75,000 eRNA transcription sites with high sensitivity and specificity. The use of nascent-RNA sequencing sidesteps the confounding effect of eRNA instability. We identify quantitative trait loci (QTLs) associated with the level and directionality of eRNA expression. High-resolution analyses of these two types of QTLs reveal distinct positions of enrichment at the central transcription factor (TF) binding regions and at the flanking eRNA initiation regions, both of which are associated with mRNA expression QTLs. These two regions-the central TF-binding footprint and the eRNA initiation cores-define a bipartite architecture of enhancers, inform enhancer function, and can be used as an indicator of the significance of non-coding regulatory variants.

Indexed as

Quantitative Trait LociCell LineEnhancer Elements, GeneticGene Expression RegulationHumansRegulatory Sequences, Ribonucleic AcidRNA, MessengerRNA, UntranslatedTranscription, GeneticRegulatory Sequences, Ribonucleic AcidRNA, MessengerRNA, Untranslated

Identifiers

PMID33235186
PMCPMC7687912
OpenAlexW3107875361

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.