B3GALNT1 antibody Polyclonal Antibodies Primary antibodies
- Known as:
- B3GALNT1 (anti-) Polyclonal Antibodies Primary antibodies
- Catalog number:
- orb100418
- Product Quantity:
- 100
- Category:
- -
- Supplier:
- Biorb
- Gene target:
- B3GALNT1 antibody Polyclonal Antibodies Primary antibodies
Related genes to: B3GALNT1 antibody Polyclonal Antibodies Primary antibodies
- Gene:
- B3GALNT1 NIH gene
- Name:
- beta-1,3-N-acetylgalactosaminyltransferase 1 (globoside blood group)
- Previous symbol:
- B3GALT3
- Synonyms:
- beta3Gal-T3, galT3, P1, GLOB
- Chromosome:
- 3q26.1
- Locus Type:
- gene with protein product
- Date approved:
- 1998-12-01
- Date modifiied:
- 2019-04-23
Related products to: B3GALNT1 antibody Polyclonal Antibodies Primary antibodies
Related articles to: B3GALNT1 antibody Polyclonal Antibodies Primary antibodies
- Lung adenocarcinoma (LUAD) is the most prevalent and lethal subtype of non-small cell lung cancer (NSCLC), with its progression closely associated with aberrant succinylation modifications. This study aimed to systematically identify succinylation-related genes in LUAD and evaluate their diagnostic and prognostic significance. By integrating four Gene Expression Omnibus (GEO) datasets, 45 differentially expressed succinylation-related candidate genes were identified. Feature selection using three machine learning methods-Lasso regression, support vector machine recursive feature elimination (SVM-RFE), and Random Forest-yielded seven core genes: TIMP1, SLC2A1, JUP, F12, B3GALNT1, DSP, and MMP1. ROC analysis showed that all core genes achieved AUC values greater than 0.7, indicating strong diagnostic potential. A diagnostic model constructed from these seven genes achieved an AUC of 0.912 in the training cohort, significantly outperforming single-gene models, and was validated in The Cancer Genome Atlas (TCGA) cohort (AUC = 0.893). Prognostic analysis revealed that Kaplan-Meier curves for all seven core genes demonstrated p < 0.05 and HR > 1, indicating that high expression was associated with poor outcomes. A risk prediction nomogram was also developed based on these genes. SHAP analysis clarified each gene's contribution to the model, while drug enrichment and transcriptional regulatory network analyses provided further insights into potential therapeutic targets. Notably, JUP exhibited the highest diagnostic efficacy (AUC = 0.921) and was significantly correlated with immune cell infiltration and tumor microenvironment regulation. Molecular docking suggested stable binding between JUP and potential therapeutic compounds, single-cell analysis confirmed its marked overexpression in tumor and epithelial cells, and experimental validation further established its oncogenic role. In conclusion, this study systematically defines the diagnostic and prognostic value of seven succinylation-related core genes in LUAD, with JUP playing a particularly pivotal role. These findings provide robust evidence supporting its potential as a novel biomarker and therapeutic target. - Source: PubMed
Wu SixuanPan JunfanZheng YaqinPan QihongTan Yeru - Acute hyperinsulinemia may directly affect blood cells. In this study a hyperinsulinemic-euglycemic clamp (HEC) and multiomics methods were used to explore the epigenetic regulation by hyperinsulinemia in blood cells. - Source: PubMed
Publication date: 2025/09/05
Joo MinjaeShin DongseongTruong Xuan TrongNam SeungyoonLee Dae Ho - Myocardial infarction (MI) often leads to ischemic cardiomyopathy, which is characterized by extensive cardiac remodeling and pathological fibrosis accompanied by inflammatory cell accumulation. Although inflammatory responses elicited by cardiac macrophages are instrumental in post-MI cardiac remodeling, macrophage microniche-mediated fibroblast activation in MI are not understood. Analyses of the spatial transcriptomics data of the hearts of patients with ischemic cardiomyopathy and a history of MI using a novel workflow combining Significant Latent Factor Interaction Discovery (SLIDE), which is an interpretable machine learning approach recently developed by us, regulatory network inference, and in-silico perturbations unveiled unique context-specific cellular programs and corresponding transcription factors driving these programs (that would have been missed by traditional analyses) in macrophages, and resting and activated cardiac fibroblasts. More nuanced analyses to examine the microniches comprising these cells in failed hearts uncovered additional cellular programs reflective of altered paracrine signaling among these cells. Silencing of niche-specific key genes and TFs from these cellular programs in both mouse and human macrophages altered the expression of pro-fibrotic genes. Furthermore, the secretomes from these macrophages suppressed myofibroblast differentiation. Finally, macrophage-specific silencing of , , and and the transcription factors and , which are differentially expressed in macrophage/activated fibroblast niches, using a novel lipidoid nanoparticle approach in mice with MI significantly improved cardiac function and suppressed fibrosis. Our study uncovers novel macrophage niche-mediated fibroblast activation mechanisms and provides a new generalizable framework, coupling interpretable machine learning, regulatory network inference, in-silico perturbations, and and testing. - Source: PubMed
Publication date: 2025/08/24
Natarajan NiranjanaXiao HanxiHaque ShaguftaCundiff Mary DHara MikaSriram VarshaDas JishnuDutta Partha - To explore the serological characteristics and molecular mechanisms of an individual with the p phenotype in the Chinese population by analysing the serological and genetic background. - Source: PubMed
Publication date: 2025/06/30
Wei XiaoxiangXiang DongFan LiangfengGuo ZhonghuiRan DongBu ShengdiTan XiaojieLi Qin - In the past years, dogs have served as a convenient natural model organism for longevity due to their similarity with humans concerning not only their environment but also the diseases and complications occurring in older age. Since many dog breeds have significantly shorter lifespan than their closely related breeds, identification of genes associated with longevity may help to elucidate its background and serve as a possible tool for selective breeding of long-living dogs. This genome-wide association study (GWAS) was undertaken to identify the candidate genes associated with longevity in Cavalier King Charles Spaniel individuals that have reached the age of more than 13 years. We described 15 SNPs localized in nine genes: like, and that are associated with longevity in purebred Cavalier King Charles Spaniels. These results are promising for future research and possible selective breeding of companion dogs with extended lifespan. - Source: PubMed
Publication date: 2024/12/16
Korec EvženUngrová LenkaKalvas JosefHejnar Jiří