SERPINA3 [1C10] Monoclonal Antibody
- Known as:
- SERPINA3 [1C10] Monoclonal Antibody
- Catalog number:
- 51-668
- Product Quantity:
- 0.05 mg
- Category:
- -
- Supplier:
- Prosci
- Gene target:
- SERPINA3 [1C10] Monoclonal Antibody
Ask about this productRelated genes to: SERPINA3 [1C10] Monoclonal Antibody
- Gene:
- SERPINA3 NIH gene
- Name:
- serpin family A member 3
- Previous symbol:
- AACT
- Synonyms:
- ACT
- Chromosome:
- 14q32.13
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-04
- Gene:
- SNRPFP1 NIH gene
- Name:
- small nuclear ribonucleoprotein polypeptide F pseudogene 1
- Previous symbol:
- -
- Synonyms:
- dJ1041C10.2
- Chromosome:
- 20q13.13
- Locus Type:
- pseudogene
- Date approved:
- 2001-09-17
- Date modifiied:
- 2011-03-22
Related products to: SERPINA3 [1C10] Monoclonal Antibody
Related articles to: SERPINA3 [1C10] Monoclonal Antibody
- Sepsis accounts for nearly 20% of global mortality, with antibiotic resistance worsening clinical outcomes. Rapid antibiotic administration and accurate pathogen identification remain crucial. It is well now known that extracellular vesicles (EVs) from human cells and bacterial membrane vesicles (bMVs) play a central role in the interaction between host and pathogen and represent promising biomarkers for early infections. This study investigated how antibiotic exposure alters EV responses in Staphylococcus aureus (SA)spiked blood and compared these findings with EV proteome profiles from bacteremia patients. In an in vitro model, whole blood from healthy donors was spiked with SA at a multiplicity of infection (MOI) of 0.001, treated with clinically relevant concentrations of piperacillin-tazobactam, vancomycin, or moxifloxacin, and plasma was subsequently isolated for EV analysis. EVs were isolated using the Miltenyi Pan EV Kit and analyzed by bead-based flow cytometry and high-resolution LC-MS/MS. In parallel, serum EVs from healthy controls (n = 6) and bacteremia patients (n = 12; 6 blood culture-positive and 6 culture-negative) were analyzed using the same workflow. Flow cytometry revealed increased levels of CMO⁺ CD45⁺ PanEV⁺ SA⁺ vesicles in SA-spiked samples, particularly following low-dose piperacillin-tazobactam and high-dose vancomycin treatment, despite minimal changes in vesicle size and total particle counts. Proteomic analysis of plasma EVs showed significant alterations in protein composition, including increased abundance of the SA-derived ribosomal protein rplU and host defense-associated proteins. Functional enrichment highlighted pathways related to neutrophil degranulation, vesicle-mediated transport, and antibacterial responses. In patient samples, serum EVs were enriched in acute-phase and immune-related proteins, including SERPINA1, SERPINA3, CRP, and SAA2, along with canonical EV markers such as CD81 and syntenin-1, irrespective of blood culture status. Antibiotic exposure and SA infection are associated with measurable changes in the human EV proteome, characterized by enrichment of immune and host defense-related proteins despite stable vesicle numbers. Similar EV-associated protein patterns were observed in both blood culture-positive and -negative patient samples, reflecting shared features of the systemic host response to infection and highlighting the potential of EV profiling to capture infection-associated biological signals. - Source: PubMed
Publication date: 2026/05/30
Chiang Dapi MenglinPfaffl Michael WSchelling GustavMeidert Agnes SBrandes FlorianLudwig ChristinaWudy Susanne IKirchner BenediktYu Mia S CZenner ChristianUlbricht RosalieMuller LaurentReithmair Marlene - Neoadjuvant immunochemotherapy (nICT) has emerged as a promising strategy for locally advanced gastric cancer (LAGC), yet clinical responses remain heterogeneous and reliable predictive biomarkers are lacking. A comprehensive dissection of the tumor microenvironment (TME) is essential to uncover determinants of therapeutic efficacy and enable precision immunotherapy. - Source: PubMed
Publication date: 2026/05/14
Xu XiaohongFan JunPeng LiXiang ZhengkaiLuo DanjuMa ChenggongHuang BoNie XiuDong Xiaochuan - Alzheimer disease (AD) and Postoperative delirium (POD) may share a common mechanism, but their shared genes and potential novel therapeutic targets remains unknown. We selected datasets GSE48350, GSE4226, and GSE16759 containing AD and control samples from the GEO database for AD model development, and use the GSE63061 dataset for AD model validation. The GSE163943 dataset containing PODs and controls was used to identify common genes. Differentially expressed genes (DEGs) associated with POD and AD respectively, as well as common DEGs between 2 diseases were analyzed. Shared DEGs were assessed using gene ontology and KEGG enrichment and PPI interaction networks. Machine learning algorithms, nomogram and decision tree analyses were used to interpret top 5 genes and visualize the models. 259 DEGs in POD with 148 being up-regulated and 111 down-regulated, and 199 DEGs in AD with 25 up-regulated and 174 down-regulated were found, of which 23 were common to POD and AD. Gene ontology analysis indicated that DEGs were primarily concentrated in 9 distinct biological processes, while KEGG results revealed 3 major metabolic pathways. Five hub genes emerged as potential diagnostic biomarkers for both diseases, Bruton tyrosine kinase (BTK), NCF2, CRH, FCGR3A, and SERPINA3. The LASSO model determined that the 23 common genes could serve as biomarkers for both POD and AD patients, and the Random Forest model is the the most suitable model. POD or AD decision trees showed BTK and NCF2 were sufficient to distinguish between POD or AD patients and healthy controls. BTK and NCF2 were identified common biomarkers of POD and AD. Further investigations are required to verify correlations between gene expression levels and pathological characteristics. - Source: PubMed
Fang YiqiZhang XiaoZhan Gaofeng - Neuroblastoma (NB) is one of the most common malignant tumors in children. Despite intensive multimodal treatments, patients with high-risk NB still have a poor prognosis; therefore, early identification of high-risk patients based on reliable NB biomarkers is essential. Endoplasmic reticulum (ER) stress has been demonstrated to play a vital role in cancer biology; however, it is unclear whether ER stress-related genes are involved in NB and should be further explored as new potential diagnostic and prognostic targets. - Source: PubMed
Publication date: 2026/03/24
Lu WentingZhou RuixiYue YanYing JunjieXiong TaoTang JunShi JingWang HuaZhang LiRuan Tiechao - Tamoxifen (TAM) resistance remains a challenge in estrogen receptor-positive breast cancer treatment. Current research suggested that mesenchymal stem cells (MSCs) derived exosomes may mediate chemoresistance, but the underlying mechanisms are unclear. This study investigates how exosomes from tamoxifen-pretreated MSCs (Tt-MSC-exos) promote tamoxifen resistance through the miR-137/SERPINA3 axis. - Source: PubMed
Publication date: 2026/05/21
Huang XiaolanLi TingtingYe ShiqianLan YananZeng LinLiu Yan