Ask about this productRelated genes to: SYT11 Blocking Peptide
- Gene:
- SYT11 NIH gene
- Name:
- synaptotagmin 11
- Previous symbol:
- -
- Synonyms:
- KIAA0080, MGC10881, MGC17226, DKFZp781D015
- Chromosome:
- 1q22
- Locus Type:
- gene with protein product
- Date approved:
- 2002-09-20
- Date modifiied:
- 2015-11-20
Related products to: SYT11 Blocking Peptide
Related articles to: SYT11 Blocking Peptide
- Despite substantial advances in Parkinson's disease genomics, Latin American populations remain underrepresented in global genetic studies, limiting the generalizability of risk estimates and biological inference. Mexico, characterized by complex admixture patterns, represents a critical setting for evaluating population-level genetic variation associated with Parkinson's disease. - Source: PubMed
Publication date: 2026/02/19
Arias-Carrión OscarRomero-Gutiérrez ElizabethCastellanos-Juárez Francisco XSandoval-Carrillo Ada ASalas-Pacheco José M - Synaptotagmins (Syts) are the primary Ca-sensors for synaptic vesicle exocytosis, while most mammalian Syts are non-Ca-affinitive and play critical roles in neurotransmission and synaptic plasticity with unclear mechanisms. Here, we show that high-alkaline non-Ca-binding Syt11 exhibits higher affinity for acidic phospholipids and Ca-inhibited liposome-binding, thereby competing with the Ca-binding Syt1. Physiological levels of Ca eliminate this competition by promoting Ca-dependent membrane insertion of Syt1 while suppressing Syt11's binding through electrostatic shielding of the membrane surface. Site-directed mutagenesis reveals a dual-regional lipid-binding mode (a lysine-rich motif for Ca-independent binding and Ca-binding loops for Ca-facilitation) for Syt1, and a redundant multi-point lipid-binding interface for Syt11. Consistent with the Ca-dependent competition, Syt11 inhibits both the early stages of exocytosis and endocytosis in neurons, while the maximal rate of exocytosis remains intact. This Ca-sensitivity of Syt11 proposes Syt1-Syt11 inter-switching in membrane-occupancy as a critical step precisely controlling exocytosis and endocytosis during synaptic transmission. - Source: PubMed
Publication date: 2025/12/16
Wu XuanangYao JingyuHuo JingxiaoHu ShaoqinWang BianbianLi ZiyangPei YingmeiFan HongZhan ShuqinHuang RongKang XinjiangMa CongLai YingHan JingJiao LianyingSong QianWang ChangheXu Huadong - Breast cancer remains a major global health burden, with persistent challenges including recurrence, metastasis, and drug resistance limiting the efficacy of current treatments. The identification of novel therapeutic targets is essential for advancing precision oncology. We employed a 2-sample Mendelian randomization (MR) framework utilizing large-scale eQTL and genome-wide association study (GWAS) datasets from European cohorts to identify genetic targets for breast cancer. Colocalization analysis, phenome-wide association studies (PheWAS), protein-protein interaction networks, and functional enrichment analyses (GO/KEGG) were conducted. Single-cell gene expression was also analyzed. Candidate drugs were predicted using pharmacogenomic databases and subsequently validated through molecular docking simulations. MR analysis identified 480 candidate targets, among which 51 were successfully validated. Colocalization analysis highlighted 7 genes - DNPH1, SYT11, RCCD1, LAMB2, SLC22A5, CBX6, and FAAH - with strong evidence of causal association. Functional annotation and protein-protein interaction (PPI) network analysis revealed their involvement in key cancer-related pathways. Their expression patterns were also analyzed at the single-cell level. Molecular docking confirmed stable binding affinities between the identified target proteins and their predicted drug candidates. This integrative genomics and bioinformatics approach identified 7 promising drug targets for breast cancer. These findings offer novel avenues for the development of targeted therapies and underscore the importance of genetic epidemiology in guiding drug discovery. - Source: PubMed
Huang KeHuang HuiMa Lin-LinLiu YanLi Qing - Atherosclerosis, a progressive inflammatory disease and the leading cause of cardiovascular disease (CVD), remains a global health burden due to the lack of effective early therapeutic interventions. Although growing evidence highlights the involvement of plasma proteins in atherogenesis, their causal contributions to disease pathogenesis are poorly understood. - Source: PubMed
Publication date: 2025/11/18
Chen KuangyangPan YifengWang YaqiongLuan MinYan HanYu JieXin DijiaZhao YuxinXu XinyiLi MoZheng Chao - Lactate can influence the fibrotic process by regulating cellular metabolism, inflammatory responses, and cell proliferation, which may be closely related to macrophage function in diseases. Therefore, this research sought to identify biomarkers linked to lactate metabolism and macrophages in renal fibrosis (RF). - Source: PubMed
Publication date: 2025/07/18
Yong ChenYu YongfeiWei YuanHuang GuoshunShu LianghuiGao KunZhou Enchao