ArticleAging2021
Construction and external validation of a 5-gene random forest model to diagnose non-obstructive azoospermia based on the single-cell RNA sequencing of testicular tissue.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- CMKLR1 as a Therapeutic Target: Vitamin D-Mediated Suppression of Inflammation and Oxidative Stress in SA-AKI.Molecular biotechnology · 2026Article
- Chaperonin in health and disease.Molecular biomedicine · 2026Review
- Single-cell sequencing in non-obstructive azoospermia: insights from primary and re-analysis studies.Frontiers in endocrinology · 2025Review
- Article
- Single-cell RNA sequencing technology in human spermatogenesis: Progresses and perspectives.Molecular and cellular biochemistry · 2024Review
- Establishment and validation of a 5-factor diagnostic model for obstructive and non-obstructive azoospermia based on routine clinical parameters.Experimental biology and medicine (Maywood, N.J.) · 2024Observational
- Application of single-cell RNA sequencing on human testicular samples: a comprehensive review.International journal of biological sciences · 2023Review
- Candidate genes for infertility: an in-silico study based on cytogenetic analysis.BMC medical genomics · 2022Article
- Nomogram based on a circular RNA biomarker for predicting the likelihood of successful sperm retrievalFrontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-obstructive azoospermia (NOA) is among the most severe factors for male infertility, but our understandings of the latent biological mechanisms remain insufficient. The single-cell RNA sequencing (scRNA-seq) data of 432 testicular cells isolated from the patient with NOA was analyzed, and the cell samples were grouped into 5 cell clusters. A sum of 455 cell markers was identified and then included in the protein-protein interaction network. The Top 5 most critical genes in the network, including CCT8, CDC6, PSMD1, RPS4X, RPL36A, were selected for the diagnosis model construction through the random forest (RF). The RF model was a strong classifier for NOA and obstructive azoospermia (OA), which was validated in the training cohort (n = 58, AUC = 1) and external validation cohort (n = 20, AUC = 0.9). We collected the seminal plasma samples and testicular biopsy samples from 20 OA and 20 NOA cases from the local hospital, and the gene expression was detected via Real-Time quantitative Polymerase Chain Reaction (RT-qPCR) and Immunohistochemistry. The RF model also exhibited high accuracy (AUC = 0.725) in the local cohort. In summary, a novel gene signature was developed and externally validated based on scRNA-seq analysis, providing some new biomarkers to uncover the underlying mechanisms and a promising clinical tool for diagnosis in NOA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.