VAP-1 Recombinant Protein
- Known as:
- VAP-1 Recombinant Protein
- Catalog number:
- ZR-40-576
- Product Quantity:
- 0.002 mg
- Category:
- -
- Supplier:
- Zyagen
- Gene target:
- VAP-1 Recombinant Protein
Related genes to: VAP-1 Recombinant Protein
- Gene:
- AOC3 NIH gene
- Name:
- amine oxidase copper containing 3
- Previous symbol:
- -
- Synonyms:
- VAP1, HPAO, VAP-1
- Chromosome:
- 17q21.31
- Locus Type:
- gene with protein product
- Date approved:
- 1998-12-03
- Date modifiied:
- 2019-01-18
- Gene:
- SNAP47 NIH gene
- Name:
- synaptosome associated protein 47
- Previous symbol:
- C1orf142
- Synonyms:
- SVAP1, SNAP-47
- Chromosome:
- 1q42.13
- Locus Type:
- gene with protein product
- Date approved:
- 2005-07-08
- Date modifiied:
- 2016-06-01
Related products to: VAP-1 Recombinant Protein
Related articles to: VAP-1 Recombinant Protein
- Triple-negative breast cancer (TNBC) is a biologically aggressive subtype of breast cancer marked by high heterogeneity and poor prognosis. Copper metabolism has been implicated in TNBC progression, but its functional contributions remain insufficiently defined. In this study, we analyzed transcriptomic data from 229 TNBC and adjacent normal samples from The Cancer Genome Atlas (TCGA) to identify 26 differentially expressed copper metabolism-related genes (DEGs). A nine-gene Cox model (HEPHL1, COX7A1, COX4I2, JUN, MAPT, MT1A, AOC3, DCT, AOC2) demonstrated robust prognostic value, with time-dependent AUCs of 0.88, 0.84, and 0.80 at 1, 3, and 5 years. Functional enrichment analyses revealed epithelial-mesenchymal transition (EMT) and angiogenesis pathways enriched in high-risk groups. Four genes (AOC3, COX4I2, COX7A1, JUN) were further identified as copper metabolism-related metastasis genes (CMMRGs) through correlation with metastasis-associated programs. Based on these genes, machine learning classifiers were developed to predict TNBC presence and lymph node metastasis. Classifiers trained on the full dataset achieved consistently high performance, with most models showing AUCs greater than 0.97 (random forest, XGBoost, and AdaBoost classifier) even when using reduced gene panels (26-, 9-, and 4-gene sets), demonstrating stable classification across gene panels. In contrast, performance declined notably in metastasis-specific classification, largely due to the limited number of labeled metastatic samples. Among these, the 9-gene panel yielded the highest test AUCs across most models (gradient boosting machine AUC 0.64), suggesting that it may provide an optimal balance between model complexity and discriminative power, while also highlighting a key limitation related to the restricted sample size and incomplete clinical annotations in the metastasis-specific dataset. Single-cell RNA sequencing confirmed fibroblast-specific enrichment of CMMRGs and associated EMT signatures, suggesting a mechanistic link between copper metabolism, stromal remodeling, and metastasis. These results establish a copper-centered molecular framework for TNBC diagnosis and metastasis prediction, supporting the translational potential of copper metabolism-related genes in clinical applications. - Source: PubMed
Publication date: 2026/06/01
Zhuang KaiYan LinWaqas MuhammadFeng HaixinTang SiqiHe HaoqiYu XinshiWang YanlingHuang Zunnan - The proteolytic cleavage of membrane-bound proteins, ectodomain shedding, functionally expands the reservoir of proteins/peptides available for endocrine crosstalk, and metabolic regulation. However, the functional understanding of secreted proteoforms, including whether they act synergistically or antagonistically with their membrane precursors, is often unknown. We aimed to develop a novel viral vector-based gene delivery platform enabling characterization of both membrane-bound and soluble proteoforms in adipocytes, independent of endogenous shedding. To this end, we elected amine oxidase copper-containing 3 (AOC3) as a target for validation. - Source: PubMed
Publication date: 2026/05/07
Tavanez Ana RitaEgedal Nadia MeinckeStanic NatasaTopel HandeKornfeld Jan-Wilhelm - Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies. - Source: PubMed
Publication date: 2026/05/02
Qu ChaoYuan XuetaoYang ShutingQiao YifanZhang RenjianzhiWu YunhuaZhu MengkeDu JiayinLi GanZhang RuiSun XuejunLi Xuqi - Vascular adhesion protein-1 (VAP-1), also known as copper-containing amine oxidase 3 (AOC3), is an enzyme implicated in the pathogenesis of various diseases. Increasing evidence highlights VAP-1 as a promising therapeutic target, particularly for the treatment of inflammatory disorders and diabetic complications. We have synthesised a series of compounds in which a heterocycle or a benzene-fused heterocycle is connected a hydrocarbon spacer to a glycine amide, semicarbazide, or fluoroallylamine moiety. These functional groups are believed to act as reactive "warheads", forming covalent bonds with the topaquinone cofactor at the enzyme's active site. Screening was initially conducted using bovine plasma amine oxidase (AOC4), an enzyme structurally closely related to VAP-1 (AOC3) and also referred to as secretory VAP-1 (sVAP-1). Selected compounds were subsequently evaluated for their ability to inhibit VAP-1 activity in human plasma. The results showed that glycine amide and semicarbazide analogs generally exhibited stronger inhibition of the bovine AOC4 than of the human AOC3. In contrast, fluoroallylamines displayed comparable or even greater inhibitory potency toward the human enzyme. Overall, fluoroallylamines with nanomolar IC values were identified as the most potent inhibitors of human VAP-1, whereas glycine amides, which act as substrate inhibitors, were the least effective. In assays evaluating inhibition of the related enzyme diamine oxidase (AOC1) as well as monoamine oxidases A and B (MAO A and MAO B), the glycine amides displayed relatively high selectivity for human VAP-1. The semicarbazides, however, also showed strong inhibitory activity against AOC1. Several of the fluorinated allylamines tested were identified as highly potent, well-balanced dual inhibitors of human VAP-1 and MAO B, with ()-2-({3-[(1-benzotriazol-1-yl)methyl]phenoxy}methyl)-3-fluoroprop-2-en-1-amine (94) being the most effective. Compounds with this dual inhibitory profile are thought to exert particularly beneficial effects in the treatment of inflammatory conditions. - Source: PubMed
Publication date: 2026/01/28
Pöstges TimoKampschulze JanHanekamp WalburgaBermúdez MarcelLehr Matthias - Piperine is a common anti-ischemic compound and an active ingredient of herbal medicine for various ailments. It is widely sourced and affordable. However, its bioactivity and anti-ischemic effects on retinal ischemic injury are unknown. The chemical-gene interactions of piperine were analyzed using data from "SwissTargetPrediction," "Binding DB", and "TargetNet" databases. Gene expression data from GSE43671 dataset and the Kyoto encyclopedia of genes and genomes (KEGG) were used for differential gene and ontology analyses. To evaluate the activation of disease pathways, by analyzing gene sets and applying weighted gene co-expression networks to differential gene interaction data. Additionally, molecular complex detection analyses of retinal ischemia and control samples were performed to determine which genes are affected by piperine, to compare gene expression differences, and to map receiver operator characteristic data. Utilizing network pharmacology and transcriptome sequencing, this study elucidates the targets and pathways affected by pharmacological interventions involving piperine in retinal ischemia injury. 176 target genes connected to piperine were identified and retrieved. Screening of 8 hub genes using machine learning. Through screening, we detected disease-associated genes, differential genes, and drug targets, and pinpointed two biomarker genes, Aoc3 and Gabra3. We found that piperine may have a protective effect on retinal ischemic injury. Consequently, piperine may modulate retinal ischemic injury through specifically targeting Aoc3 and Gabra3 for retinal protection. - Source: PubMed
Publication date: 2026/02/05
He QianxiongWang YiShi YuanjiangChen YannanLi BinXin Xiaorong