Evidence map›Paper›PMID 40060372›Full record

ArticleNAR genomics and bioinformatics2025

Cell type-dependent directional transcription at enhancers.

Saumya Agrawal, Emi Kanamaru, Yoriko Saito, Fumihiko Ishikawa, Michiel de Hoon

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

No citing paper in PubMed yet.

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

5 authors.

Saumya AgrawalRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.ORCID 0000-0002-5524-6206
Emi KanamaruRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Yoriko SaitoRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Fumihiko IshikawaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Michiel de HoonRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.ORCID 0000-0003-0489-2352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancers are noncoding regulatory regions in the genome that play essential roles in modulating gene expression. Previous work showed that enhancers are not transcriptionally silent but are characterized by bidirectional expression of short capped noncoding RNAs. Balanced bidirectional expression has therefore been used as a key feature for the detection of enhancers from transcriptome data. Instead, by analyzing FANTOM5 and other deep cap analysis gene expression transcriptome datasets, we find enhancer transcription preferentially in one direction in individual cell types. As the preferred direction of transcription of an enhancer can switch between cell types, balanced bidirectional enhancer expression may appear if transcriptome data are aggregated over cell types. 5' single-cell RNA sequencing data showed that enhancers were almost exclusively expressed unidirectionally in a single cell. Reporter assay data demonstrated that the regulatory function of an enhancer does not depend on its preference for unidirectional or bidirectional expression. We conclude that requiring balanced bidirectional transcription for enhancer detection may discard most valid enhancers when applied to transcriptome data of a single cell type.

Indexed as

Enhancer Elements, GeneticTranscription, GeneticTranscriptomeAnimalsGene Expression RegulationHumansMiceSingle-Cell Analysis

Identifiers

PMID40060372
PMCPMC11886823

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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.