Article

Screening and identification of critical Genes and Pathways Associated with Oxidative Stress in non-obstructive azoospermia patients: an integrative bioinformatics study

2023-12-04

Abstract excerpt

Azoospermia affects nearly 1% of the entire male population, and 60% of these cases are included as non-obstructive azoospermia (NOA). For a long time, oxidative stress has been considered a controversial factor in the etiology of infertility types, including male azoospermia. In various studies, the role of reactive oxygen species, as a double-edged sword, in the normal function of sperm cells and of course in DN...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c87c0f5c-4266-56f9-82da-98bdec048130
DOI: 10.21203/rs.3.rs-3685542/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Screening and identification of critical Genes and Pathways Associated with Oxidative Stress in non-obstructive azoospermia patients: an integrative bioinformatics studyDOI 10.21203/rs.3.rs-3685542/v1Read

Integrative bioinformatics analyses of mitochondrial dysfunction-related genes in human non-obstructive azoospermiaSemantic proximity Read

Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermiaSemantic proximity Read

Using publicly available transcriptomic data to identify mechanistic and diagnostic biomarkers in azoospermia and overall male infertilitySemantic proximity Read

Identification of ferroptotic genes and phenotypes in idiopathic nonobstructive azoospermia.Semantic proximity Read

Identification and Potential Value of Candidate Genes in Patients With Non-obstructive AzoospermiaSemantic proximity Read

The Novel Key Genes of Non-obstructive Azoospermia Affect Spermatogenesis: Transcriptomic Analysis Based on RNA-Seq and scRNA-Seq DataSemantic proximity Read

Whole Exome Sequencing and In Silico Analysis of Human Sertoli in Patients with Non-Obstructive AzoospermiaSemantic proximity Read

Whole exome sequencing identifies genes associated with non-obstructive azoospermiaSemantic proximity Read

Transcriptomic analysis of the Non-Obstructive Azoospermia (NOA) to address gene expression regulation in human testisSemantic proximity Read

Non-obstructive azoospermia: current and future perspectivesSemantic proximity Read

Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithmsSemantic proximity Read

Omics and Male Infertility: Highlighting the Application of Transcriptomic DataSemantic proximity Read