Ask about this productRelated genes to: SCML2 antibody
- Gene:
- SCML2 NIH gene
- Name:
- Scm polycomb group protein like 2
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- Xp22.13
- Locus Type:
- gene with protein product
- Date approved:
- 1999-06-17
- Date modifiied:
- 2017-07-18
Related products to: SCML2 antibody
Related articles to: SCML2 antibody
- miRNA-mRNA interactions regulate mite physiology and behavior, especially in response to growth- and reproduction-affecting environmental factors. Despite being a major source of allergens, gender-specific mRNA and miRNA expression in allergic mites has not yet been explored. Male and female Dermatophagoides farinae mites were manually selected under a stereomicroscope and used for library preparation for mRNA and small RNA sequencing, following standard Illumina protocols. Differential expressions of mRNA and miRNAs were analyzed separately and validated by qRT-PCR. An mRNA-miRNA regulatory network was then constructed using computational target prediction algorithms, with further validation through a dual-luciferase reporter assay. Compared to female mites, male mites exhibited 321 upregulated and 430 downregulated genes. GO analysis revealed significant differences in gene sets associated with DNA replication, RNA polymerase complexes, and sex differentiation between the two sexes. A total of 130 miRNAs showed differential expression, with 51 miRNAs upregulated in male mites. Integrated analysis of mRNA and miRNA sequencing data predicted 29 specific miRNAs targeting distinct mRNAs, with key genes and miRNAs further validated by qRT-PCR. Additionally, dual-luciferase reporter assays confirmed that PC-5p-65423_75 regulates the developmental processes of male and female mites by targeting Sex Comb on Midleg Like-2 (SCML2). This study provides a comprehensive analysis of the transcriptome and small RNA sequencing of D. farinae. We identified key miRNAs and their target genes, offering valuable insights into the reproductive and growth strategies of allergic mites. - Source: PubMed
Cheng QiZhou YingGong XinhuiLiao YuanfenMa XimengZhou DongmeiYuan CunyinCui Yubao - Hepatocellular carcinoma (HCC), as a cancer with high morbidity and mortality, urgently requires the development of a clinical prediction model with high robustness and generalizability and its prognostic study of the tumor microenvironment to provide personalized clinical treatment for patients. Key prognostic genes were screened by analyzing mRNA expression data from GTEx and The Cancer Genome Atlas (TCGA) using limma difference analysis, Cox analysis, and machine learning (ML) algorithms. TCGA database was used as a training set, and the International Cancer Genome Consortium database was used as a test set to screen the best prognostic modeling algorithms using a combination of 101 ML algorithms for training and constructing Nomo score plots based on the algorithmic risk scores as well as Shiny online prediction models. Based on shapley additive explanations analysis, drug sensitivity analysis, and immune infiltration analysis were performed on the 6 genes screened to visualize the importance of prognostic genes. HCC tumor mutation load analysis was also performed. A risk prediction model for HCC death was developed based on the RSF algorithm, with an RSF model C-index of 0.765 and AUC values of 0.978, 0.989, and 0.964 for 1-, 3-, and 5-year ROC curves for the Nomo score model, respectively. LPL, RAET1E, RNASEH2A, GTF2H4, SCML2, and PRDM12 were potential diagnostic and prognostic markers, among which SCML2 and PRDM12 were significantly correlated with multiple drugs in drug sensitivity analysis.TP53 mutations were correlated with patients' age, chronological age, gender, histological tumor stage, T stage, and lymph node metastasis. An online HCC mortality risk prediction model was developed using the RSF algorithm. LPL, RAET1E, RNASEH2A, GTF2H4, SCML2, and PRDM12 are potential prognostic target genes, whereas TP53 mutations are associated with clinical features that may inform the development of HCC therapy. - Source: PubMed
Wang JiamingShen TongpingWang Shihao - Histone modifications play a critical role in regulating gene expression and maintaining the functionality of spermatogonial stem cells (SSCs), which are essential for male fertility and spermatogenesis. In this study, we integrated microarray and single-cell RNA-sequencing (scRNA-seq) data to identify key histone modification gene changes associated with SSC function and aging. Through differential expression analysis, we identified 2509 differentially expressed genes (DEGs) in SSCs compared to fibroblasts. Among these, genes involved in histone modification, such as KDM5B, SCML2, SIN3A, and ASXL3, were highlighted for their significant roles in chromatin remodeling and gene regulation. Protein-protein interaction (PPI) networks and gene ontology (GO) enrichment analysis revealed critical biological processes such as chromatin organization, histone demethylation, and chromosome structure maintenance. Weighted gene co-expression network analysis (WGCNA) further revealed three key modules of co-expressed genes related to spermatogonial aging. Additionally, ligand-receptor interaction scoring based on tumor microenvironment analysis suggested potential signaling pathways that could influence the stemness and differentiation of SSCs. Our findings provide new insights into the molecular mechanisms underlying SSC aging, highlighting histone modification genes as potential therapeutic targets for preserving male fertility and improving SSC-culturing techniques. This study advances our understanding of histone modification in SSC biology and will serve as a valuable resource for future investigations into male fertility preservation. - Source: PubMed
Publication date: 2025/04/08
Shakeri Abroudi AliAzizi HosseinDjamali MelikaQorbanee AliSkutella Thomas - Spermatogenesis is a unidirectional differentiation process that generates haploid sperm, but how the gene expression program that directs this process is established is largely unknown. Here we determine the high-resolution three-dimensional (3D) chromatin architecture of mouse male germ cells during spermatogenesis and show that CTCF-mediated 3D chromatin dictates the gene expression program required for spermatogenesis. In undifferentiated spermatogonia, CTCF-mediated chromatin interactions between meiosis-specific super-enhancers (SEs) and their target genes precede activation of these SEs on autosomes. These meiotic SEs recruit the master transcription factor A-MYB (MYBL1) in meiotic spermatocytes, which strengthens their 3D contacts and instructs a burst of meiotic gene expression. We also find that at the mitosis-to-meiosis transition, the germline-specific Polycomb protein SCML2 facilitates the resolution of chromatin loops that are specific to mitotic spermatogonia. Moreover, SCML2 and A-MYB help shape the unique 3D chromatin organization of sex chromosomes during meiotic sex chromosome inactivation. We propose that CTCF-mediated 3D chromatin organization regulates epigenetic priming that directs unidirectional differentiation, thereby determining the cellular identity of the male germline. - Source: PubMed
Publication date: 2025/03/03
Kitamura YukaTakahashi KazukiMaezawa SoMunakata YasuhisaSakashita AkihikoKatz Shawna PKaplan NoamNamekawa Satoshi H - Meiosis in males is a critical process that ensures complete spermatogenesis and genetic diversity. However, the key regulators involved in this process and the underlying molecular mechanisms remain unclear. Here, we report an essential role of the mA methyltransferase METTL16 in meiotic sex chromosome inactivation (MSCI), double-strand break (DSB) formation, homologous recombination and SYCP1 deposition during male meiosis. METTL16 depletion results in a significantly upregulated transcriptome on sex chromosomes in pachytene spermatocytes and leads to reduced DSB formation and recombination, and increased SYCP1 depositioin during the first wave of spermatogenesis. Mechanistically, in pachytene spermatocytes, METTL16 interacts with MDC1/SCML2 to coordinate DNA damage response (DDR) and XY body epigenetic modifications that establish and maintain MSCI, and in early meiotic prophase I, METTL16 regulates DSB formation and recombination by regulating protein levels of meiosis-related genes. Furthermore, multi-omics analyses reveal that METTL16 interacts with translational factors and controls mA levels in the RNAs of meiosis-related genes (e.g., Ubr2) to regulate the expression of critical meiotic regulators. Collectively, this study identified METTL16 as a key regulator of male meiosis and demonstrated that it modulates meiosis by interacting with MSCI-related factors and regulating mA levels and translational efficiency (TE) of meiosis-related genes. - Source: PubMed
Publication date: 2024/11/28
Yin LishaJiang NanXiong WenjingYang ShiyuZhang JinXiong MengnengLiu KuanZhang YutingXiong XinxinGui YiqianGao HuihuiLi TaoLi YiWang XiaoliZhang YouzhiWang FengliYuan Shuiqiao