Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.

ABSTRACT: Preeclampsia is a leading cause of perinatal maternal-foetal mortality and morbidity. The aim of this study is to identify the key microRNAs and genes in preeclampsia and uncover their potential functions. We downloaded the miRNA expression profile of GSE84260 and the gene expression profile of GSE73374 from the Gene Expression Omnibus database. Differentially expressed miRNAs and genes were identified and compared to miRNA-target information from MiRWalk 2.0, and a total of 65 differentially expressed miRNAs (DEMIs), including 32 up-regulated miRNAs and 33 down-regulated miRNAs, and 91 differentially expressed genes (DEGs), including 83 up-regulated genes and 8 down-regulated genes, were identified. The pathway enrichment analyses of the DEMIs showed that the up-regulated DEMIs were enric

SUBMITTER: Luo S 

PROVIDER: S-EPMC5464566 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature