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Dataset Information

Comprehensive analysis of immune-related genes associated with the microenvironment of patients with unexplained infertility.


ABSTRACT:

Background

Disturbances in immunological responses and modulation lead to implantation and pregnancy failure and might be involved in the pathogenesis of infertility. This project aimed to screen and identify immune-related genes as potential biomarkers for treatment.

Methods

Gene expression profiles were obtained from Gene Expression Omnibus (GEO) databases. Differentially expressed genes (DEGs) were screened using GEO 2R to explore potential biomarkers. Protein-protein interaction (PPI) network analysis and functional enrichment analysis were applied to explore possible mechanisms. The deconvolution algorithm [referred to as Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT)] was employed to assess tissue-infiltrating immune cells. Weste

SUBMITTER: Wang C 

PROVIDER: S-EPMC9929778 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature