CPB1 antibody
- Known as:
- CPB1 (anti-)
- Catalog number:
- orb101281
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Biorbyt biorb
- Gene target:
- CPB1 antibody
Related genes to: CPB1 antibody
- Gene:
- CPB1 NIH gene
- Name:
- carboxypeptidase B1
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 3q24
- Locus Type:
- gene with protein product
- Date approved:
- 1992-04-13
- Date modifiied:
- 2015-12-16
Related products to: CPB1 antibody
Related articles to: CPB1 antibody
- Serine hydrolases (SHs) constitute one of the largest enzyme superfamilies in eukaryotes, yet their roles in Trypanosoma cruzi, the causative agent of Chagas disease, remain largely uncharacterized. Here, we report an activity-based chemoproteomic map of the T. cruzi epimastigote serinome by combining genome-informed in silico curation with whole-cell activity-based protein profiling (ABPP) using a panel of cell-permeable fluorophosphonate (FP)-alkyne probes. Whole-cell labelling followed by label-free quantitative proteomics (LFQ-MS) identified 37 enriched SH-like proteins, including 35 with conserved or partially conserved catalytic triad/dyad features, spanning lipases, peptidases, esterases, and previously uncharacterized hydrolases. The 35 SHs represent approximately 63% of the 56 predicted SHs retained after catalytic-site curation. Domain architecture analysis revealed broad structural diversity, while orthologue-based localization data suggested association with multiple subcellular compartments, including glycosomal, mitochondrial, and endosomal localizations. Gene Ontology enrichment highlighted lipid metabolic and catabolic processes as dominant functional themes, and protein-protein interaction network analysis supported functional connectivity among the captured enzymes. Several identified SHs, including oligopeptidase B, prolyl oligopeptidase Tc80, serine carboxypeptidase CPB1, and phospholipase A1 (PLA1) have previously been characterized in trypanosomatids, with roles linked to parasite virulence or host-pathogen interactions. Together, these findings establish a fluorophosphonate-based chemoproteomic resource for the kinetoplastid community and prioritize probe-accessible active T. cruzi SHs for future functional validation and antiparasitic inhibitor discovery. - Source: PubMed
Publication date: 2026/08/29
Isern Jaime AMediavilla María GabrielaPorta Exequiel O JMerli Marcelo LBallari María SolCricco Julia ALabadie Guillermo RSteel Patrick G - Hereditary chronic pancreatitis (CP) is associated with elevated risk of pancreatic ductal adenocarcinoma (PDAC), but the specific contributing genes and their associated risk magnitudes remain incompletely defined. We aimed to investigate whether pathogenic germline variants (PGVs) in all 11 known CP-associated genes (CASR, CEL, CFTR, CLDN2, CPA1, CPB1, CTRC, PNLIP, PRSS1, SPINK1, TRPV6) predispose to PDAC and to quantify their risk estimates. - Source: PubMed
Publication date: 2026/04/20
Antwi Samuel ORabe Kari GCarlson Erin ESicotte HuguesBamlet William RMills Krystal CKonikoff Tom McWilliams Robert ROberg Ann LMajumder Shounak - TP53 mutations are commonly observed in aggressive subtypes of breast cancer, influencing the tumor microenvironment (TME) and patient prognosis. In this study, we developed a prognostic gene-based risk model to stratify TP53-mutant breast cancer patients and explore potential therapeutic targets. - Source: PubMed
Publication date: 2025/09/30
Paulino Peter Jerome Ishmael VChe Omar Mohammad Tasyriq - BACKGROUND: This study explores the potential molecular mechanisms underlying the pathogenesis of gastric cancer induced by plasticizers, with particular emphasis on the interactions between plasticizers and key genes and signaling pathways. Methods: Machine learning algorithms were applied to multiple public datasets to identify potential target genes associated with gastric cancer. The interactions between plasticizers and target proteins were explored using network toxicology and molecular docking. Results: Our analysis identified 17 gastric cancer-related target genes associated with plasticizer exposure. Through machine learning optimization, the RF + Lasso model demonstrated superior performance (AUC: 0.816) and identified six core genes: CPB1, AKR1C1, GRM2, CA2, MMP7, and TDO2. Differential expression analysis revealed upregulation of GRM2, MMP7, and TDO2, alongside downregulation of CPB1, AKR1C1, and CA2 in gastric cancer tissues. Molecular docking confirmed specific binding interactions between plasticizers and target proteins, with binding energies ranging from − 6.4 to -11.2 kcal/mol. Conclusion: Our findings indicate that plasticizers may drive gastric cancer tumorigenesis by modulating key genes and signaling pathways. The molecular docking results indicate that there may be specific binding interactions between the target protein and plasticizers. This research establishes a platform for further probing the impact of plasticizers on gastric cancer development, offering conceptual guidance for forthcoming functional validation and targeted therapy development. - Source: PubMed
Publication date: 2025/12/02
Guo RuiMa WeifengRen ZhiLi DapengWang MengXu MingtaoZheng HailunKe Xiquan - Human papillomaviral (HPV) integrations into host human genome, a frequently observed event in HPV associated cervical cancer, are currently mapped through expensive Whole Genome sequencing (WGS) or RNA sequencing (RNA-seq) methodologies. This study aims to develop a targeted sequencing assay to determine HPV integrations in cervical tumors without the need for WGS or RNA-seq. We employed a library preparation strategy using tiled single primers that bind to HPV genome as a template and possibly extend HPV sequences into adjacent host human genomic sequences resulting in HPV and human chimeric sequences. Using this strategy, we sequenced known HPV integrations in HPV18 positive HeLa and HPV16 positive SiHa cell lines. We further used this method to detect HPV integration sites in four HPV-positive cervical cancer patients and confirmed these integration breakpoints by WGS and Sanger sequencing. Functional impact of HPV integrations was explored through differentially expressed genes within or near topologically associating domain (TAD) boundaries, possibly disrupted by respective integration events in these patients. We found ZFP36L1, CPA3, CPB1 and CXCL8 as some of the differentially expressed genes within disrupted TADs, which are known cancer associated genes. Our approach also reduced the cost of HPV integration detection by 90 % compared to WGS while also minimizing sequencing data volume. We believe that this method captures HPV integrations at significantly reduced costs and lesser sequencing data volume leading to better understanding of disease progression and monitoring cancer treatment. - Source: PubMed
Publication date: 2025/07/17
Parida PreetiparnaMukherjee NiveditaSingh AgastyaLewis ShirleySharan KrishnaMallya SandeepSingh AshimaDas Surya SarathiRao MahadevHigginson Daniel SSabarinathan RadhakrishnanDamerla Rama Rao