Evidence map›Paper›PMID 31443660›Full record

ArticleBMC medical genomics2019

Transcriptome sequencing of lncRNA, miRNA, mRNA and interaction network constructing in coronary heart disease.

Jiangquan Liao, Jie Wang, Yongmei Liu, Jun Li, Lian Duan

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 1 country.

Jiangquan LiaoDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jie WangDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. wangjie0103@126.com.
Yongmei LiuDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jun LiDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lian DuanDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Guang’anmen Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-coding RNA has been shown to participate in numerous biological and pathological processes and has attracted increasing attention in recent years. Recent studies have demonstrated that long non-coding RNA and micro RNA can interact through various mechanisms to regulate mRNA. Yet the gene-gene interaction has not been investigated in coronary heart disease (CHD).

methodsHigh throughput sequencing were used to identify differentially expressed (DE) lncRNA, miRNA, and mRNA profiles between CHD and healthy control. Gene Oncology (GO), KEGG enrichment analysis were performed. Gene-gene interaction network were constructed and pivotal genes were screened out. Lentivirus-induced shRNA infection and qRT-PCR were performed to validated the gene-gene interactions.

resultsA total of 62 lncRNAs, 332 miRNAs and 366 mRNAs were differentially expressed between CHD and healthy control. GO and KEGG analysis show that immune related molecular mechanisms and biological processes play a role in CHD. The gene-gene interaction network were constructed and visualized based on Pearson correlation coefficients and starBase database. 6 miRNAs in the network were significantly correlated to left ventricular ejection fraction, total choleterol and homocysteine. 2 lncRNAs (CTA-384D8.35 and CTB-114C7.4 (refseq entry LOC100128059)), 1 miRNA (miR-4497), and 1 mRNA (NR4A1) were the pivotal genes. Lentivirus-induced shRNA infection and qRT-PCR had validated the pivotal gene-gene interactions.

conclusionsThese results have shown the potential of lncRNA, miRNA, and mRNA as clinical biomarkers and in elucidating pathological mechanisms of CHD from a transcriptomic perspective.

Indexed as

Gene Regulatory NetworksSequence Analysis, RNAAdultAgedCase-Control StudiesCoronary DiseaseDown-RegulationFemaleGene Expression ProfilingGene OntologyHumansHuman Umbilical Vein Endothelial CellsLentivirusMaleMicroRNAsMiddle AgedMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Small InterferingCoronary heart diseaseInteraction networkLong non-coding RNAMicro RNATranscriptome sequencing

Identifiers

PMID31443660
PMCPMC6708182
OpenAlexW2969676976

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.