In Silico Analysis of Sperm From Ejaculates with Different Semen Characteristics.

ABSTRACT:

Background

Male infertility is associated with altered characteristics of the sperm within the ejaculate. It is possible to find molecular explanations for the observed phenotypes and their consequences. This study aimed to analyze, using a specialized software, a gene set of transcriptomic data from different types of ejaculates.

Methods

Data from ejaculate samples categorized as normal, oligospermia, and teratozoospermia were obtained from Gene Expression Omnibus (GEO). After normalization, the data average for each sample category was calculated and analyzed independently using Ingenuity Pathway Analysis (IPA).

Results

Five important canonical pathways are involved in normal and altered semen samples (Oligospermia and teratozoospermia) except sirtuin signaling and

SUBMITTER: Gutierrez JAB 

PROVIDER: S-EPMC8607880 | biostudies-literature | 2021 Jul-Sep

REPOSITORIES: biostudies-literature