Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis.

ABSTRACT:

Introduction

Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls, as well as to investigate potential prognostic markers in RIF.

Methods

GSE103465, and GSE111974 datasets from the Gene Expression Omnibus database were obtained to screen DEGs between RIF and control groups. Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes Pathway analysis, Gene Set Enrichment Analysis, and Protein-protein interactions analysis were performed to investigate potential biological functions and signaling pathways. CIBERSORT was used to describe the leve

SUBMITTER: Lai ZZ 

PROVIDER: S-EPMC9909740 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature