Abstract
Objective: To explore the potential biomarkers and related enrichment pathways of dilated cardiomyopathy (DCM) by bioinformatics methods. Methods: The data sets related to DCM in GEO database were searched, and microarray data sets GSE42955 and GSE1869 of human cardiomyocytes were extracted. Then, the differentially expressed genes(DEGS)were analyzed using R language, and the protein-protein interaction network was analyzed to identify the core genes and core modules of differential expression. The gene ontology database (GO) enrichment and Kyoto Gene and Genome Encyclopedia(KEGG)pathway analyses were performed. The data sets related to DCM in ArrayExpress database were searched, and the human cardiomyocytes microarray data set E-TABM-480 was extracted to verify the expressions of core genes and modules. Results: We identified 10 DEGS, namely, DZIP3, FBXO32, BTBD6, FBXL5, ASB8, COMMD1, LTN1, FBXO21, RCHY1 and ARIH2, and the core DEG was DZIP3. After GO and KEGG analyses, the GO and KEGG of the above DEGS were mainly related to the ubiquitin-proteasome system. Conclusion: Bioinformatics analysis shows that the ubiquitin-proteasome system plays an important role in the pathogenesis of DCM, and the mechanism remains to be further studied.
| Translated title of the contribution | Identification of key genes and pathways associated with dilated cardiomyopathy development by bioinformatics analysis |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 395-406 |
| Number of pages | 12 |
| Journal | Journal of Xi'an Jiaotong University (Medical Sciences) |
| Volume | 43 |
| Issue number | 3 |
| DOIs | |
| State | Published - 5 May 2022 |
| Externally published | Yes |