Evidence map›Paper›PMID 32586319›Full record

ArticleBMC medical genomics2020

Integrative analyses of gene expression profile reveal potential crucial roles of mitotic cell cycle and microtubule cytoskeleton in pulmonary artery hypertension.

Jing Luo, Haiyan Li, Zhenwei Liu, Chenlu Li, Ruochen Wang, Jinxia Fang, Saisai Lu, Jing Guo, Xiaochun Zhu, Xiaobing Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Journal of thoracic disease · 2021
    Article
  16. Article
  17. Article
  18. 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

10 authors at 1 institution in 1 country.

Jing LuoRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Haiyan LiDepartment of Pediatric Pulmonology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Zhenwei LiuInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, China.
Chenlu LiRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Ruochen WangInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, China.
Jinxia FangRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Saisai LuRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Jing GuoCollege of psychologic medicine, Wenzhou Medical University, Wenzhou, China.
Xiaochun ZhuRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Xiaobing WangRheumatology Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China. gale820907@163.com.ORCID 0000-0002-4302-2213
Wenzhou Medical University · CN

Funding

Science and Technology Project of Zhejiang Provincial Health Commission 2019RC050the General scientific projects of Zhejiang Education Department Y201942208the National Natural Science Foundation 81700062the Natural Science Foundation of Zhejiang Province grants LQ16H010003Zhejiang Xinmiao Talents Program 2019R413082
6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) is a life-threatening condition. The aim of this study was to explore potential crucial genes and pathways associated with PAH based on integrative analyses of gene expression and to shed light on the identification of biomarker for PAH.

methodsGene expression profile of pulmonary tissues from 27 PAH patients and 22 normal controls were downloaded from public database (GSE53408 and GSE113439). After the identification of differentially expressed genes (DEGs), hub pathways and genes were identified based on the comprehensive evaluation of protein-protein interaction (PPI) network analysis, modular analysis and cytohubba's analysis, and further validated in another PAH transcriptomic dataset (GSE33463). Potentially associated micro-RNAs (miRNAs) were also predicted.

resultsA total of 521 DEGs were found between PAH and normal controls, including 432 up-regulated DEGs and 89 down-regulated DEGs. Functional enrichment analysis showed that these DEGs were mainly enriched in mitotic cell cycle process, mitotic cell cycle and microtubule cytoskeleton organization. Moreover, five key genes (CDK1, SMC2, SMC4, KIF23, and CENPE) were identified and then further validated in another transcriptomic dataset associated with special phenotypes of PAH. Furthermore, these hub genes were mainly enriched in promoting mitotic cell cycle process, which may be closely associated with the pathogenesis of PAH. We also found that the predicted miRNAs targeting these hub genes were found to be enriched in TGF-β and Hippo signaling pathway.

conclusionThese findings are expected to gain a further insight into the development of PAH and provide a promising index for the detection of PAH.

Indexed as

Cell CycleMitosisCase-Control StudiesComputational BiologyCytoskeletonGene Expression ProfilingGene Expression RegulationHumansMicroRNAsMicrotubulesProtein Interaction MapsPulmonary Arterial HypertensionPulmonary ArteryTranscriptomeMicroRNAsDifferentially expressed geneFunctional enrichment analysismiRNAsProtein-protein interaction networkPulmonary arterial hypertension

Identifiers

PMID32586319
PMCPMC7318763
OpenAlexW3037951731

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.