학술논문

Identification of novel microRNAs associated with type 2 diabetes by an integrative bioinformatic analysis
Document Type
Article
Source
Human Gene; December 2022, Vol. 34 Issue: 1
Subject
Language
ISSN
27730441
Abstract
To identify potential miRNAs involved in the development/progression of type 2 diabetes (T2D) we performed data screening and integration of microRNA (miRNA) and messenger RNA (mRNA) expression profiles available in public data repositories. We retrieved two independent sequencing datasets: GSE52314 (small RNA-Seq) and GSE50244 (RNA-Seq). Then, we identified Differentially Expressed Genes (DEGs) and Differentially Expressed miRNAs (DEMs) from non-diabetic (ND) vs.people with T2D. The integrative analysis of identified DEGs and DEMs revealed 303 interactions involving 33 miRNAs and 256 genes. Functional enrichment analysis showed these interactions could play a functional role in carbohydrate, lipid, and nucleotide impaired metabolism. Some interactions we identified could also be relevant at an early stage of T2D. We also performed a similar integration analysis using a single study from a rat model, including both RNA-Seq and small RNA-Seq in the same pancreatic tissue: CRA000791. Interestingly, in this analysis one identified miRNA was also identified in the integrative analysis in human transcriptome: hsa-miR-27a-5p. Moreover, functional enrichment analysis showed that the target genes are mainly enriched in biological processes and pathways related to lipid and nucleotide metabolism.