Identification of Biomarkers and Mechanisms Associated with Apoptosis in Recurrent Pregnancy Loss.

In this study, we employed bioinformatics techniques to identify genes associated with apoptosis in recurrent pregnancy loss (RPL). We retrieved the RPL expression profile datasets GSE165004 and GSE73025 from the Gene Expression Omnibus (GEO) database. We also obtained data from the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway of Apoptosis (hsa04210) to identify apoptosis-related genes.

Identification of MiR-223 Associated with Diagnosis in Ectopic Pregnancy.

Background: In this study, we conducted an integrated study of the diagnostic value of MiR-223 in ectopic pregnancy (EP).

Methods: We used GSE44731 downloaded from GEO and GEO2R to identify differentially expressed miRNA. The hub genes corresponding to the differential miRNA were then identified by using the Xiantao academic tool, GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes).