DOCK1 antibody Polyclonal Antibodies Primary antibodies
- Known as:
- DOCK1 (anti-) Polyclonal Antibodies Primary antibodies
- Catalog number:
- orb100035
- Product Quantity:
- 100
- Category:
- -
- Supplier:
- Biorb
- Gene target:
- DOCK1 antibody Polyclonal Antibodies Primary antibodies
Related genes to: DOCK1 antibody Polyclonal Antibodies Primary antibodies
- Gene:
- DOCK1 NIH gene
- Name:
- dedicator of cytokinesis 1
- Previous symbol:
- -
- Synonyms:
- DOCK180, ced5
- Chromosome:
- 10q26.2
- Locus Type:
- gene with protein product
- Date approved:
- 1998-05-13
- Date modifiied:
- 2016-10-05
Related products to: DOCK1 antibody Polyclonal Antibodies Primary antibodies
Related articles to: DOCK1 antibody Polyclonal Antibodies Primary antibodies
- Sudden cardiac death (SCD) is a leading cause of global mortality, with coronary artery disease (CAD) being the primary etiology. Vascular smooth muscle cell (VSMC) migration and proliferation, regulated by actin cytoskeletal dynamics, are pivotal to CAD pathogenesis. The integrin-focal adhesion-cytoskeleton signaling axis modulates these processes; however, its genetic contribution to SCD-CAD remains poorly understood. In this case-control study of a southern Chinese Han population (239 SCD-CAD cases; 594 healthy controls), we investigated 10 insertion-deletion (indel) polymorphisms across eight key genes within this axis. Using multiplex fluorescent PCR and capillary electrophoresis (CE), followed by logistic regression and haplotype analyses, we identified three protective variants: rs10599004 (OR = 0.78, p = 0.018), rs143263543 (OR = 0.70, p = 0.024), and rs58213835 (OR = 0.80, p = 0.046). Additionally, a significant risk haplotype was identified in BCAR1 (ins-rs149617239-ins-rs58213835, p = 0.007). Mendelian randomization (MR) analysis further supported the causal roles of genetically predicted BCAR1, CRK, and DOCK1 expression in cardiovascular risk. These findings underscore the involvement of this signaling axis in SCD-CAD susceptibility and suggest these genetic markers as potential tools for cardiovascular risk assessment as well as forensic molecular autopsy. Further validation through large-scale cohort studies and functional assays is essential to fully elucidate the underlying molecular mechanisms. - Source: PubMed
Publication date: 2026/05/08
Cai MengqiHe YanMeng HaoliangLuo BinGao Yuzhen - The Dedicator of Cytokinesis1 (DOCK1) has been implicated in solid tumors; however, its precise role and therapeutic potential in acute myeloid leukemia (AML) remain largely unexplored. Here we investigated the prognostic significance and functional roles of DOCK1 in AML. A novel small-molecule inhibitor targeting DOCK1 was identified and characterized. Our findings revealed that DOCK1 expression was significantly elevated in AML patients and predicted poor overall survival, serving as potentially independent prognostic factor. DOCK1 knockdown inhibited AML cell viability, induced apoptosis and S-phase cell cycle arrest, and impaired colony formation. In xenograft models, DOCK1 depletion significantly reduced leukemic burden and prolonged survival. From a targeted screen, we identified Box5 (TFA) as a potent DOCK1 inhibitor, which binds directly to DOCK1 and effectively suppresses AML cell viability and colony formation in vitro. Box5 (TFA) treatment in vivo mirrored the genetic knockdown, significantly reducing tumor infiltration and extending survival in AML xenograft models. Our study establishes DOCK1 as a candidate oncoprotein and a potentially independent prognostic biomarker in AML. These findings provide a rationale for targeting DOCK1 and support the development of Box5 (TFA) as a promising therapeutic strategy for AML. - Source: PubMed
Publication date: 2026/05/11
Li ZhiyuanWu GuocaiLiu YanLi GuangruPan YueyuanSong XueLiu ChenchenLiu WeiLuo LiangpingWen RuitingYang Zhigang - Scanning genomes for selection signals could illuminate the impact of domestication, natural, and artificial selection on the phenotypic traits of cattle breeds. The present study investigated the diverse genomic selection signatures using whole genome sequencing data from 15 pooled samples of five indigenous cattle breeds of Tamil Nadu: Alambadi, Bargur, Kangayam, Pulikulam, and Umblachery. Two approaches, namely composite likelihood ratio (CLR) and fixation index (), were employed to detect selection signatures from the 1,390,449 filtered single-nucleotide polymorphisms. The analysis identified 7250 and 806 genomic regions containing selective sweeps in 1238 and 101 candidate genes using CLR and methods, respectively. These regions were predominantly associated with production traits ( and ), coat colour ( and ), disease resistance ( and ), and adaptation to tropical climates ( and ). Particularly, six regions were shared across all the five cattle breeds, of which, five were intergenic regions and one had a candidate gene, , associated with susceptibility to bovine tuberculosis. A total of 12 candidate genes were common between CLR and methods, relating to production, disease resistance, and behavioural traits. NETWORK analysis revealed six candidate genes allied with calving ease ( and ), milk fat yield (), bovine respiratory disease susceptibility ( and ), and meat and carcass traits (). This study presents the first genomewide map of selective sweeps in Tamil Nadu cattle breeds, providing insights into selection signatures and candidate genes that could enhance genomeassisted breeding for improved production and health. - Source: PubMed
Vani SBalasubramanyam DSingh KaranbirKarthickeyan S M KTirumurugan K GGopinathan AHepsibha PMadhuri B Jaya - Breast cancer subtypes are known to have important pathobiological and clinical features. For example, triple-negative breast cancer (TNBC) remains one of the most aggressive and treatment-resistant breast cancer subtypes, lacking hormone and HER2 targets. Increasing evidence suggests that circular RNAs (circRNAs) and their N6-methyladenosine (mA) modifications play critical roles in cancer biology through the regulation of gene expression, stability, and signaling networks. This study aimed to identify mA methylation patterns in circRNAs among breast cancer subtypes, explore their potential biological functions, and assess their diagnostic and prognostic relevance compared with luminal breast cancer subtypes. Genome-wide profiling of mA-modified circRNAs was conducted in TNBC and luminal breast tumor samples using methylated RNA immunoprecipitation followed by microarray analysis. Differential methylation and expression analyses were integrated with pathway enrichment, survival correlation, and receiver operating characteristic (ROC) curve assessments to identify subtype-specific and clinically relevant circRNA candidates. Distinct mA circRNA methylation signatures were identified across breast cancer subtypes, with TNBC showing enrichment in pathways related to Wnt/β-catenin, CDC42 GTPase signaling, and cytoskeletal remodeling. Several circRNAs, including those derived from ZBTB16, DOCK1, METTL8, and VAV3, exhibited significant hypermethylation and high diagnostic accuracy (AUC > 0.80). Survival analyses revealed associations between circRNAs from key host genes and overall or relapse-free survival, suggesting prognostic potential. These findings uncover subtype-specific mA circRNA methylation landscapes that may contribute to tumor aggressiveness and heterogeneity. Identified circRNAs represent candidates for investigation as biomarkers for subtype classification and prognosis and may inform future research into epigenetic and post-transcriptional therapeutic targets in breast cancer. - Source: PubMed
Publication date: 2026/01/04
Qattan AmalAlkhayal WafaSuleman KausarAl-Tweigeri TaherTulbah Asma - Niemann-Pick type C (NPC) disease, caused by NPC1 or NPC2 variants, disrupts cholesterol and glycolipid trafficking, leading to diverse clinical manifestations. To understand the genetic basis of neurological resilience, we analyzed an NPC family with variable phenotypes, identifying loss-of-function variants in CCDC115, SLC4A5, DEPDC5, ETFDH, SNRNP200, and DOCK1 that co-segregated with milder neurological involvement. Using yeast models, we successfully predicted NPC-like severity based on orthologous gene variants. RNA-seq revealed a positive correlation between mitochondrial transcripts and cellular fitness. Modeling NPC in yeast lacking the SLC4A5 ortholog, bor1, enhanced cellular fitness, improved mitochondrial function, and reduced sterol accumulation. Our findings identify potential modifiers and biomarkers of NPC severity, highlighting mitochondrial pathways and SLC4A5 as a therapeutic target. Impact statement Niemann-Pick type C (NPC) disease is a progressive neurovisceral lysosomal storage disorder. Here, we identified genomic modifiers of neurological resilience in an NPC family, with SLC4A5 emerging as a key biomarker and therapeutic target. Additionally, our study highlighted mitochondrial transcripts and metabolites as potential biomarkers of severity. - Source: PubMed
Publication date: 2025/06/12
Las Heras MacarenaSzenfeld BenjamínOlguín ValeriaRubilar Juan CarlosCalderón Juan FranciscoJimenez YanirethZanlungo SilvanaBuratti EmanueleDardis AndreaCubillos Francisco AKlein Andrés D