ArticleBMC medical genomics2025
Identification of novel cytoskeleton protein involved in spermatogenic cells and sertoli cells of non-obstructive azoospermia based on microarray and bioinformatics analysis.
Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Identifying Mouse Undifferentiated To Differentiated Spermatogonia Stem Cells at the Single-Cell Level Using Machine Learning Approaches.Stem cell reviews and reports · 2026Article
- Identifying Mouse Undifferentiated To Differentiated Spermatogonia Stem Cells at the Single-Cell Level Using Machine Learning Approaches.Stem cell reviews and reports · 2026Article
- Machine learning, whole-transcriptome and integrative omics analysis reveals key regulatory networks governing human spermatogonial stem cells.Clinical and experimental medicine · 2026Article
- Analysis of microarray and single-cell RNA-seq finds gene co-expression, cell-cell communication, and tumor environment associated with cytoskeleton protein in epithelial-mesenchymal transition in ovarian cancer.Discover oncology · 2026Article
- CAPZA1 deficiency disrupts sperm flagellar structure and motility, potentially involving the p300/SLC7A11 pathway.Frontiers in endocrinology · 2026Article
- A cross-tissue transcriptome-wide association study identifies novel candidate genes associated with brain glymphatic system function.Molecular brain · 2025Article
- Microarray and Single-Cell RNA Sequencing Reveals G-Protein Gene Expression Signatures of Spermatogonia Stem Cell.Stem cell reviews and reports · 2025Article
- Analysis of Microarray and Single-Cell RNA-Seq Finds Gene Co-Expression and Tumor Environment Associated with Extracellular Matrix in Epithelial-Mesenchymal Transition in Prostate Cancer.International journal of molecular sciences · 2025Article
- Transcriptomic Analysis Identifies Oxidative Stress-Related Hub Genes and Key Pathways in Sperm Maturation.Antioxidants (Basel, Switzerland) · 2025Article
- Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.Scientific reports · 2025Article
- Role of Defense/Immunity Proteins in Non-Obstructive Azoospermia: Insights from Gene Expression and Single-Cell RNA Sequencing Analyses.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Integrating microarray data and single-cell RNA-seq reveals correlation between kit and nmyc in mouse spermatogonia stem cell population.Frontiers in cell and developmental biology · 2025Article
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5 authors.
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Abstract
backgroundDuring mammalian spermatogenesis, the cytoskeleton system plays a significant role in morphological changes. Male infertility such as non-obstructive azoospermia (NOA) might be explained by studies of the cytoskeletal system during spermatogenesis.
methodsThe cytoskeleton, scaffold, and actin-binding genes were analyzed by microarray and bioinformatics (771 spermatogenic cellsgenes and 774 Sertoli cell genes). To validate these findings, we cross-referenced our results with data from a single-cell genomics database.
resultsIn the microarray analyses of three human cases with different NOA spermatogenic cells, the expression of TBL3, MAGEA8, KRTAP3-2, KRT35, VCAN, MYO19, FBLN2, SH3RF1, ACTR3B, STRC, THBS4, and CTNND2 were upregulated, while expression of NTN1, ITGA1, GJB1, CAPZA1, SEPTIN8, and GOLGA6L6 were downregulated. There was an increase in KIRREL3, TTLL9, GJA1, ASB1, and RGPD5 expression in the Sertoli cells of three human cases with NOA, whereas expression of DES, EPB41L2, KCTD13, KLHL8, TRIOBP, ECM2, DVL3, ARMC10, KIF23, SNX4, KLHL12, PACSIN2, ANLN, WDR90, STMN1, CYTSA, and LTBP3 were downregulated. A combined analysis of Gene Ontology (GO) and STRING, were used to predict proteins' molecular interactions and then to recognize master pathways. Functional enrichment analysis showed that the biological process (BP) mitotic cytokinesis, cytoskeleton-dependent cytokinesis, and positive regulation of cell-substrate adhesion were significantly associated with differentially expressed genes (DEGs) in spermatogenic cells. Moleculare function (MF) of DEGs that were up/down regulated, it was found that tubulin bindings, gap junction channels, and tripeptide transmembrane transport were more significant in our analysis. An analysis of GO enrichment findings of Sertoli cells showed BP and MF to be common DEGs. Cell-cell junction assembly, cell-matrix adhesion, and regulation of SNARE complex assembly were significantly correlated with common DEGs for BP. In the study of MF, U3 snoRNA binding, and cadherin binding were significantly associated with common DEGs.
conclusionOur analysis, leveraging single-cell data, substantiated our findings, demonstrating significant alterations in gene expression patterns.
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