Evidence map›Paper›PMID 29499054›Full record

ArticlePloS one2018

Identification of long noncoding RNAs involved in muscle differentiation.

Yeong-Hwan Lim, Duk-Hwa Kwon, Jaetaek Kim, Woo Jin Park, Hyun Kook, Young-Kook Kim

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide identification and functional prediction of salt- stress related long non-coding RNAs (lncRNAs) in chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  4. Article
  5. Characterization of Long Non-coding RNAs Modified by mFrontiers in cell and developmental biology · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Skeletal muscle: A review of molecular structure and function, in health and disease.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

6 authors.

Yeong-Hwan LimBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.
Duk-Hwa KwonBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.ORCID 0000-0001-6424-0300
Jaetaek KimBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.
Woo Jin ParkBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.
Hyun KookBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.
Young-Kook KimBasic Research Laboratory for Cardiac Remodeling Research Laboratory, Chonnam National University Medical School, Jeollanam-do, Republic of Korea.ORCID 0000-0001-6434-2235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) are a large class of regulatory RNAs with diverse roles in cellular processes. Thousands of lncRNAs have been discovered; however, their roles in the regulation of muscle differentiation are unclear because no comprehensive analysis of lncRNAs during this process has been performed. In the present study, by combining diverse RNA sequencing datasets obtained from public database, we discovered lncRNAs that could behave as regulators in the differentiation of smooth or skeletal muscle cells. These analyses confirmed the roles of previously reported lncRNAs in this process. Moreover, we discovered dozens of novel lncRNAs whose expression patterns suggested their possible involvement in the phenotypic switch of vascular smooth muscle cells. The comparison of lncRNA expression change suggested that many lncRNAs have common roles during the differentiation of smooth and skeletal muscles, while some lncRNAs may have opposite roles in this process. The expression change of lncRNAs was highly correlated with that of their neighboring genes, suggesting that they may function as cis-acting lncRNAs. Furthermore, within the lncRNA sequences, there were binding sites for miRNAs with expression levels inversely correlated with the expression of corresponding lncRNAs during differentiation, suggesting a possible role of these lncRNAs as competing endogenous RNAs. The lncRNAs identified in this study will be a useful resource for future studies of gene regulation during muscle differentiation.

Indexed as

Binding SitesCell DifferentiationCell LineGene Expression ProfilingGene Expression RegulationHumansMicroRNAsMyocytes, Smooth MuscleRNA, Long NoncodingSequence Analysis, RNAMicroRNAsRNA, Long Noncoding

Identifiers

PMID29499054
PMCPMC5834194

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.