Integration of omics studies indicates that species-dependent molecular mechanisms govern male fertility.

ABSTRACT:

Background

Comparative and comprehensive omics studies have recently been conducted to provide a comprehensive understanding of the biological mechanisms underlying infertility. However, because these huge omics datasets often contain irrelevant information, editing strategies for summarizing and filtering the data are necessary prerequisite steps for identifying biomarkers of male fertility. Here, we attempted to integrate omics data from spermatozoa with normal and below-normal fertility from boars and bulls, including transcriptomic, proteomic, and metabolomic data. Pathway enrichment analysis was conducted and visualized using g:Profiler, Cytoscape, EnrichmentMap, and AutoAnnotation to determine fertility-related biological functions according to species.

Results

In part

SUBMITTER: Park YJ 

PROVIDER: S-EPMC9979430 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature