Identification of novel biomarkers involved in pulmonary arterial hypertension based on multiple-microarray analysis
| Autor: | Shu Shu Chen, Yi Ma, Yan Yan Feng, Huan Liang Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Bioinformatics Biophysics Datasets as Topic Computational biology Pulmonary Artery Biology Biochemistry Transcriptome 03 medical and health sciences 0302 clinical medicine Gene expression Animals Humans Transcription elongation factor complex Gene Regulatory Networks RNA Messenger KEGG Transcriptomics Molecular Biology Gene Research Articles Pulmonary Arterial Hypertension Monocrotaline Microarray analysis techniques Gene Expression Profiling Computational Biology Mitotic nuclear division Cell Biology Microarray Analysis Rats Disease Models Animal MicroRNAs 030104 developmental biology Cardiovascular System & Vascular Biology 030220 oncology & carcinogenesis Cell Cycle Growth & Proliferation Symporter activity Biomarkers |
| Zdroj: | Bioscience Reports |
| ISSN: | 1573-4935 0144-8463 |
| DOI: | 10.1042/bsr20202346 |
| Popis: | Pulmonary arterial hypertension (PAH) is a life-threatening chronic cardiopulmonary disorder. However, studies providing PAH-related gene expression profiles are scarce. To identify hub genes involved in PAH, we investigate two microarray data sets from gene expression omnibus (GEO). A total of 150 differentially expressed genes (DEGs) were identified by limma package. Enriched Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs mostly included mitotic nuclear division, ATPase activity, and Herpes simplex virus one infection. Ten hub genes from three significant modules were ascertained by Cytoscape (CytoHubba). Gene set enrichment analysis (GSEA) plots showed that transcription elongation factor complex was the most significantly enriched gene set positively correlated with the PAH group. At the same time, solute proton symporter activity was the most significantly enriched gene set positively correlated with the control group. Correlation analysis between hub genes suggested that SMC4, TOP2A, SMC2, KIF11, KIF23, ANLN, ARHGAP11A, SMC3, SMC6 and RAD50 may involve in the pathogenesis of PAH. Then, the miRNA-target genes regulation network was performed to unveil the underlying complex association among them. Finally, RNA extracted from monocrotaline (MCT)-induced Rat-PAH model lung artery tissues were to conduct quantitative real-time PCR (qRT-PCR) to validate these hub genes. In conclusion, our study offers new evidence for the underlying molecular mechanisms of PAH as well as attractive targets for diagnosis and treatment of PAH. |
| Databáze: | OpenAIRE |
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