Evidence map›Paper›PMID 31888456›Full record

ArticleBMC genomics2019

Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiation.

Hao-Chun Chang, Hsuan-Cheng Huang, Hsueh-Fen Juan, Chia-Lang Hsu

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Super-enhancer omics in stem cell.Molecular cancer · 2024
    Review
  3. Crosstalk betweenInternational journal of molecular sciences · 2023
    Review
  4. Article
  5. Enhancer RNA (eRNA) in Human Diseases.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Observational
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.

Hao-Chun ChangGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Hsuan-Cheng HuangInstitute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
Hsueh-Fen JuanGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan. yukijuan@ntu.edu.tw.
Chia-Lang HsuDepartment of Medical Research, National Taiwan University Hospital, Taipei, Taiwan. chialanghsu@ntuh.gov.tw.ORCID http://orcid.org/0000-0002-7447-8045

Funding

Ministry of Science and Technology MOST 106-2320-B-002-053-MY3Ministry of Science and Technology MOST 107-2221-E-010-017-MY2Ministry of Science and Technology MOST 107-2314-B-002-254-MY3National Taiwan University Hospital 107-N4093
6 · The paper itself

Abstract

backgroundSuper-enhancer RNAs (seRNAs) are a kind of noncoding RNA transcribed from super-enhancer regions. The regulation mechanism and functional role of seRNAs are still unclear. Although super-enhancers play a critical role in the core transcriptional regulatory circuity of embryonic stem cell (ESC) differentiation, whether seRNAs have similar properties should be further investigated.

resultsWe analyzed cap analysis gene expression sequencing (CAGE-seq) datasets collected during the differentiation of embryonic stem cells (ESCs) to cardiomyocytes to identify the seRNAs. A non-negative matrix factorization algorithm was applied to decompose the seRNA profiles and reveal two hidden stages during the ESC differentiation. We further identified 95 and 78 seRNAs associated with early- and late-stage ESC differentiation, respectively. We found that the binding sites of master regulators of ESC differentiation, including NANOG, FOXA2, and MYC, were significantly observed in the loci of the stage-specific seRNAs. Based on the investigation of genes coexpressed with seRNA, these stage-specific seRNAs might be involved in cardiac-related functions such as myofibril assembly and heart development and act in trans to regulate the co-expressed genes.

conclusionsIn this study, we used a computational approach to demonstrate the possible role of seRNAs during ESC differentiation.

Indexed as

Cell DifferentiationEmbryonic Stem CellsEnhancer Elements, GeneticGene Expression ProfilingHumansRNATranscription FactorsRNATranscription FactorsCell differentiationEmbryonic stem cellEnhancer RNASuper-enhancer

Identifiers

PMID31888456
PMCPMC6936076

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.