Ask about this productRelated genes to: SPATA13 antibody
- Gene:
- SPATA13 NIH gene
- Name:
- spermatogenesis associated 13
- Previous symbol:
- -
- Synonyms:
- FLJ31208, ARHGEF29
- Chromosome:
- 13q12.12
- Locus Type:
- gene with protein product
- Date approved:
- 2003-10-20
- Date modifiied:
- 2016-10-05
Related products to: SPATA13 antibody
Related articles to: SPATA13 antibody
- Cervical squamous cell carcinoma (CSCC) has an unfavorable prognosis with major therapeutic challenges. Natural killer (NK) cells play a pivotal function in anti-tumor immunity. However, the correlation between NK cells and heterogeneity and prognosis in CSCC lacks definitive understanding. This study seeks to elucidate the potential value of high-activity NK cell-related genes in prognosis and immunotherapy for CSCC. Transcriptome and single-cell sequencing data of people with CSCC were obtained from TCGA and EMBL-EBI databases, respectively. Single-cell data underwent quality control, dimensionality reduction, and identification of high-activity NK cells and their marker genes. After WGCNA application to screen NK-related genes. a prognostic risk model was constructed employing univariate Cox, LASSO Cox regression, and multivariate Cox regression analyses. The clinical implication of the model was validated through immune infiltration assessment, survival, gene set enrichment, tumor mutation analyses, and drug sensitivity prediction. High-activity NK cells and associated genes in CSCC were identified. A risk prognostic model based on high-activity NK-related genes was developed, yielding six key prognostic genes (RIPOR2, PTGER4, BIN2, MARCHF2, SPATA13, KLRC2). The model demonstrated robust predictive performance in training and validation sets. Patients in the low-risk group exhibited higher infiltration levels of NK, CD8+ T, and dendritic cells, along with increased sensitivity to immune checkpoint inhibitor therapy. Additionally, drug sensitivity analysis identified promising therapeutic candidates. This study, integrating single-cell and RNA sequencing, revealed the heterogeneity of NK cells in CSCC. The risk prognostic model provided prognostic biomarkers and therapeutic targets for CSCC patients, offering a theoretical foundation for immunotherapy research. - Source: PubMed
Lin JieminLin MeichunLin LianxingChen QiaojunYao ErhuaLu Jiayang - Shaoxing ducks are a dual-purpose breed renowned for their delectable meat quality high egg-laying performance, and robust adaptability, leading to a growing market presence. Despite their economic significance, the genetic mechanisms influencing carcass growth in Shaoxing ducks remain largely unexplored. This study utilized genome-wide association studies (GWAS) and haplotype-sharing analysis to identify genomic regions and candidate genes associated with body size and carcass yield traits in this breed. Our investigation identified 50 genes associated with 18 body size and carcass yield traits. Notably, the RSPO3 and SPATA13 genes exhibited significant correlations with breast muscle weight (BMW) and leg muscle weight (LMW) traits. Additionally, COL6A3 was significantly associated with eviscerated weight% (EWP) and half-eviscerated weight% (HEWP) traits. Genes such as FGF9, LATS2, and PFKP, known for their roles in muscle development and energy metabolism, may also influence LMW traits. Through linkage disequilibrium and haplotype-sharing analyses, we identified a haplotype on chromosome 3 significantly linked to LMW. These genes and the identified haplotype hold promise as candidate markers for molecular breeding programs aimed at improving carcass traits in Shaoxing ducks. Furthermore, we utilized a bootstrap test to validate the reliability of GWAS results derived from small experimental samples, enhancing the robustness of our findings. The methodology and code for this bootstrap test are accessible at https://github.com/xuwenwu248/bootstrap.sh/commit/07db59d129c24c384ba2c43f9bb3f8d62fce845b . - Source: PubMed
Publication date: 2025/12/09
Xu WenwuWang ZhaobinZeng TaoTian YongGu TiantianChen LiLu Lizhi - Neurotrophic factors are closely associated with the development of neuropathic pain (NPP), yet their underlying mechanisms remain unclear. This study aims to identify key biomarkers and explore their potential mechanisms using integrated bioinformatics approaches. The data sets of NPP were retrieved from public databases. Single-cell RNA sequencing analysis of mouse dorsal root ganglion (DRG) was executed to identify and annotate cell clusters. Differential expression analyses, Friend analysis, and expression validation were executed to screen biomarkers. Gene-gene interaction (GGI) network construction and enrichment analyses were used to explore the relevant functions of the biomarkers. Immune microenvironment differences between case and control were assessed by single sample gene set enrichment analysis (ssGSEA) and CIBERSORT algorithm. Mendelian randomization (MR) analysis explored potential causal relationships between biomarkers and NPP. Cellular communication and pseudotime analyses further elucidated intercellular interactions and differentiation trajectories in key cell populations. Single-cell analysis of mouse DRG identified 10 cell types. There was a significant difference in satellite glial cells (SGCs) between the two groups, and their proportion in the NPP case group was significantly reduced. Differential expression analyses revealed 792 highly expressed genes of SGCs, 556 differentially expressed genes related to neurotrophic factor-related gene (NFRG) scores, and 701 differentially expressed genes in bulk RNA-seq data set. Intersection analysis identified five biomarkers: Myo10, Rhoq, Sema6a, Spata13, and Id4. GSEA analysis revealed their involvement in key pathways, including ribosomes, p53 signaling, oxidative phosphorylation, and neuroactive ligand-receptor interaction. Immune microenvironment analysis highlighted correlations between Myo10 and M2 macrophages. MR analysis demonstrated a potential causal link between Myo10 and drug-induced neuropathy, as well as Sema6a with reduced risk of sciatica. Cell communication and pseudotime analyses indicated enhanced SGC interactions and increased biomarker expression during late differentiation stages. This study identified five neurotrophic factor-related biomarkers (Myo10, Rhoq, Sema6a, Spata13, and Id4), providing novel targets for the diagnosis and treatment of NPP. - Source: PubMed
Publication date: 2025/11/15
Liu JunpengLi XiangruiLu XihuaZhang ZhenLi Changsheng - Heat Shock Protein Family A Member 1B (Hspa1b) is an RNA binding protein that regulates transcriptional and post transcriptional processes. Previous studies have suggested its protective role in stress adaptation and post injury depression, as well as its potential therapeutic effects following antidepressant treatment in major depressive disorder (MDD). However, its direct involvement in MDD remains unclear. In this study, a mouse model with hippocampal Hspa1b overexpression was established. Integrated RNA immunoprecipitation sequencing (RIP seq) and RNA sequencing (RNA seq) were performed to investigate Hspa1b mediated transcriptional regulation and alternative splicing. Overexpression of Hspa1b resulted in 401 differentially expressed genes (DEGs), including downregulation of several neuroinflammatory genes such as Lcn2, Ccl5, and Cd52, upregulation of oxytocin/neurophysin I prepropeptide (Oxt), and downregulation of intercellular adhesion molecule 1 (Icam1), which are all associated with depression pathogenesis. In addition, 1,397 significantly altered Hspa1b regulated alternative splicing events were identified. RT qPCR confirmed splicing changes in six genes, including Spata13 and Ptpro, among others linked to depression and neuronal functions. These findings demonstrate that hippocampal Hspa1b overexpression is associated with transcriptional and splicing alterations in genes related to immune, neuronal, and HPA axis pathways, which are key mechanisms implicated in MDD. Based on these alterations, Hspa1b may act as a double-edged regulator in MDD, warranting further investigation of its causal role and therapeutic potential. - Source: PubMed
Publication date: 2025/11/26
Zhao XiaofengShang YananZhu WenliWareesawetsuwan NichaZhu LiliLi ChunjingChen JiaruiBi Yuxiao - Male infertility is rising globally, yet its causes remain unclear. This study identifies the transcription factor Brn-3b (POU4F2) as essential for spermatogenesis and sperm function. Brn-3b is highly expressed in mature spermatids and infertility in constitutive male Brn-3b knockout (KO) mice is characterised by structural and functional testicular changes such as reduced sperm counts, impaired motility and ultrastructural defects including disrupted acrosomes and defects in the mitochondria and flagella. RNA-seq analyses reveal significant changes in Brn-3b-dependent regulation of genes essential for sperm development, mitochondrial function, and microtubule-based movement. This was confirmed using qRT-PCR with reduced expression of associated genes e.g. , Cox7a1 and upregulation of genes linked to inflammation and ECM remodelling (e.g., ). Human studies showing reduced Brn-3b in infertile men, e.g. with Klinefelter syndrome validated these findings. Exome sequencing identifying potentially deleterious variants in infertile men, suggest Brn-3b as a promising target for understanding and diagnosing male infertility. - Source: PubMed
Publication date: 2025/10/31
Budhram-Mahadeo VishwaniePhillips NaomiSironen AnuHolt MarkRiera-Escamilla AntoniConrad Donald