Ask about this productRelated genes to: CENPN antibody
- Gene:
- CENPN NIH gene
- Name:
- centromere protein N
- Previous symbol:
- C16orf60
- Synonyms:
- FLJ13607, FLJ22660, BM039
- Chromosome:
- 16q23.2
- Locus Type:
- gene with protein product
- Date approved:
- 2006-02-20
- Date modifiied:
- 2015-08-24
Related products to: CENPN antibody
Related articles to: CENPN antibody
- Centromeres are defined by the histone H3 variant CENP-A, which serve as the foundation for kinetochore assembly and ensure faithful chromosome segregation. CENP-A nucleosomes possess distinctive dynamic features, including flexible DNA ends at the entry/exit sites and a mobile N-terminal region, which are properties proposed to facilitate kinetochore assembly, yet the underlying molecular mechanisms remain elusive. Here, we present cryo-electron microscopy structures of Cnp1, the Schizosaccharomyces pombe (S. pombe) ortholog of CENP-A, alone and in complex with Mis15, the fission yeast ortholog of CENP-N. By integrating structural, biochemical, and molecular dynamics analyses, we demonstrate that the N-terminal region of Cnp1 regulates both DNA-end breathing and the conformational mobility of the L1 loop, a critical structural element for Mis15 recognition. Either enhanced dynamics caused by N-terminal deletion or reduced dynamics from targeted residue substitution disrupt Mis15 binding in vitro and impair its centromeric localization in vivo, thereby compromising the earliest steps of constitutive centromere-associated network assembly. Our findings establish the Cnp1 N-terminus as a dynamic allosteric modulator of chromatin architecture and reveal an L1 loop modulation mechanism that links nucleosome flexibility to kinetochore specification and chromosome segregation fidelity in fission yeast. - Source: PubMed
Publication date: 2025/12/26
Xiong YujieJian YanzeZhang YongliangZhang MinZhang XuanZhang KaimingFu ChuanhaiTian TianZang Jianye - Hepatocellular carcinoma (HCC) is a common and highly lethal malignancy worldwide, characterized by complex, multi-step molecular mechanisms. Identifying novel pathogenic genes and potential natural compounds holds great promise for advancing HCC treatment. In this study, we analyzed the GSE65372 dataset from the GEO database using the limma method to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) was applied to identify HCC-associated gene modules. The intersection of DEGs, WGCNA-derived genes, and HCC-related genes from the GeneCards database yielded a set of candidate genes. A protein-protein interaction (PPI) network was constructed using the STRING database, and four cytoHubba algorithms (MCC, MNC, degree, EPC) were used to identify hub genes. Functional enrichment analysis (GO and KEGG) was performed, and immune infiltration characteristics were evaluated using the CIBERSORT algorithm. In addition, single-gene GSEA was carried out for hub genes. Potential therapeutic compounds were predicted using the CMap platform and validated by molecular docking using AutoDock Vina. Finally, a quercetin treatment model was established, and CCK-8 assays were used to assess cell viability in LO2 (normal hepatocytes) and HepG2 (HCC cells). The expression of hub genes was further evaluated by RT-qPCR. A total of 1326 DEGs were identified, and 1003 key module genes were selected via WGCNA. Intersection with GeneCards yielded 95 candidate genes, of which 40 showed direct interactions in the PPI network. Functional enrichment revealed that these genes were significantly involved in the cell cycle, p53 signaling pathway, and cellular senescence. Immune infiltration analysis indicated an imbalanced tumor immune microenvironment characterized by macrophage predominance and suppressed T-cell activity. Cross-analysis of cytoHubba algorithms identified six consistent hub genes: CCNB1, CDC20, NCAPG, TPX2, CENPF, and CENPN. GSEA results showed that these genes are associated with cell cycle regulation, apoptosis, and p53 pathway activation. CMap analysis identified quercetin as a potential therapeutic compound, and molecular docking confirmed stable binding to all six hub proteins, with binding energies below - 5 kcal/mol. CCK-8 assays demonstrated that quercetin inhibited HepG2 cell viability in a dose-dependent manner, with minimal effects on LO2 cells. RT-qPCR results showed that quercetin treatment for 24 h significantly downregulated the mRNA expression of all six hub genes. Through multi-omics integration and experimental validation, this study identified six key genes closely associated with HCC and demonstrated the therapeutic potential of the natural compound quercetin via multi-target regulation. These findings provide theoretical and experimental support for targeted therapy and natural drug development in HCC. - Source: PubMed
Publication date: 2025/11/25
Chen JunShi Maomao - Breast cancer (BC) ranks among the most prevalent cancers in females, with bone metastasis significantly compromising patients' quality of life and survival rates. Enhancing our comprehension of BC bone metastasis mechanisms at the molecular level holds promise for improving BC treatment and prognosis. Leveraging bioinformatics tools, we integrated multiple datasets, conducted comprehensive analyses across various databases, identified biomarkers associated with BC bone metastasis, and constructed a prognostic model. Firstly, 3 BC bone metastasis-related datasets were downloaded from gene expression omnibus, the data were merged, and batch effects were removed, followed by identification of differentially expressed genes (DEGs). Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the DEGs. A protein-protein interaction network was constructed using the STRING database to screen hub genes. Then, survival analysis of hub genes was performed using the Cancer Genome Atlas (TCGA) database. A prognostic model was constructed using key genes with survival differences, and the model was evaluated. Two hundred ninety-two DEGs were identified. Gene ontology and KEGG pathway enrichment analysis yielded 769 biological processes (BPs), 78 cellular components, 43 molecular functions, and 50 KEGG pathways. Fifteen hub genes were selected from the protein-protein interaction network. Survival analysis revealed 6 genes related to BC survival. The prognostic model identified 4 genes with important predictive value for BC prognosis. Our study utilized bioinformatics analysis to identify a series of DEGs related to BC bone metastasis. Based on further selection of hub genes, we constructed a relatively ideal prognostic model for BC, and identified 4 genes (DLGAP5, TPX2, PLK1, and CENPN) with valuable predictive value for BC prognosis. - Source: PubMed
Fu ZhengZhu LiGuo ChongyongYu HongjianLi JingtianWang MingmingZhao Bin - Oral delivery of nucleic acid therapeutics for cancer therapy encounters major challenges, such as gastrointestinal acidity, enzymatic degradation, mucus barriers, and P-glycoprotein (P-gp) efflux. To address these challenges, this study engineers virus-like nanoparticles encapsulating siCENPN nucleic acid complexes and irradiated tumor cells (ITC), further coated with zwitterionic bacterial cellulose derivatives (PB-BC-BY). This innovative formulation demonstrates enhanced mucus penetration, improves stability in gastrointestinal environments, and effective inhibition of P-gp-mediated efflux. The nanoparticles effectively deliver siRNA into tumor cells, resulting in marked downregulation of CENPN expression and strong autophagy induction. The autophagic tumor cells and ITCs subsequently stimulated peripheral blood mononuclear cells (PBMCs) to secrete anti-tumor cytokines, thereby triggering an immune response. In vivo experiments confirm that orally administered nanoparticles successfully traverse the gastrointestinal barrier, enter systemic circulation, target tumors, and significantly inhibit tumor growth. Enhanced activation of dendritic cells, along with increased infiltration of cytotoxic T lymphocytes (CTLs) and Th1 cells in the tumor microenvironment, further confirms effective immune activation. Moreover, this treatment induces strong immune memory, prolonges survival, and provides substantial protection against tumor recurrence. This study presents a novel oral delivery strategy for nucleic acid therapeutics, offering an effective approach by simultaneously inducing tumor cell autophagy and promoting a robust immune-mediated anti-cancer response. - Source: PubMed
Publication date: 2025/08/25
Li ShuangjunLi ShengnanLi WenHua YueShi RuyueZhao DongmeiWang JiaxinZhao Xiuhua - Nasopharyngeal carcinoma (NPC) metastasis is the main cause of poor treatment outcomes and death in nasopharyngeal carcinoma patients. Previously, we reported that centromere protein N (CENPN) is closely related to the pathogenesis, radiotherapy resistance and chemotherapy resistance of nasopharyngeal carcinoma, but the relationship between CENPN and nasopharyngeal carcinoma metastasis and its molecular mechanism are still unclear. - Source: PubMed
Publication date: 2025/05/19
Wang Yu-FeiZou YouQiao Yue-LongWu Li-ZhiXu ShanYang RuiJiao Wo-ErChen Shi-Ming