ArticleMedicine2018
An in silico analysis of human sperm genes associated with asthenozoospermia and its implication in male infertility.
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Comparison of Sertoli cells in duck testes pre- and post-sexual maturation.Poultry science · 2026Article
- Article
- Proteomic analysis of fipronil-induced molecular defects in spermatozoa.Scientific reports · 2024Article
- Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia.BMC medical genomics · 2022Article
- Altered circadian clock gene expression in the sperm of infertile men with asthenozoospermia.Journal of assisted reproduction and genetics · 2022Article
- Evaluation ofHealth science reports · 2021Article
- Increased de novo DNA Methylation Enzymes in Sperm of Individuals with Varicocele.Cell journal · 2021Article
- Gene transcription profiling of astheno- and normo-zoospermic sperm subpopulations.Asian journal of andrologyArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthenozoospermia is the most common clinical symptom of male infertility. Molecular markers associated with asthenozoospermia spermatozoa are scarcely identified. The objective of this study was to screen the differentially expressed genes (DEGs) in asthenozoospermia spermatozoa and assess the underlying bioinformatics roles in regulation of sperm quality.Based on gene expression omnibus (GEO) database, the GSE22331, GSE1133, and GSE4193 expression profile data were downloaded. The DEGs of asthenozoospermia spermatozoa were identified. Germ cell specific genes in DEGs were further screened. Then, gene ontology (GO) and over-representation analysis of DEGs were performed, followed by protein-protein interaction (PPI) network analysis. Expressions of selected genes of TEX11, ADAMTS5, ASRGL1, GMCL1, PGK2, KLHL10 in normozoospermia and asthenozoospermia spermatozoa were identified using real time Reverse Transcription-Polymerase Chain Reaction (RT-PCR).A total of 1323 DEGs were identified, including 1140 down-regulated genes. Twenty one and 96 down-regulated genes were especially expressed in spermatogonia and round spermatids, suggesting their testicular origins and influences on sperm quality. Bioinformatics analysis showed enriched functions of ubiquitin-like protein transferase or protein binding activities in down-regulated genes. Expressions of selected genes were validated by RT-PCR, which was consistent with bioinformatical results.The present study provided a novel insight into the understanding of sperm quality, and a potential method and dataset for the diagnosis and assessment of sperm quality in the event of male infertility.
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Registered trials
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