AACT_HUMAN SERPINA3 ELISA tesk kit
- Known as:
- AACT_HUMAN SERPINA3 Enzyme-linked immunosorbent assay test tesk reagent
- Catalog number:
- gen13968
- Product Quantity:
- 1
- Category:
- Peptides
- Supplier:
- Other suppliers
- Gene target:
- AACT_HUMAN SERPINA3 ELISA tesk kit
Ask about this productRelated genes to: AACT_HUMAN SERPINA3 ELISA tesk kit
- 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
Related products to: AACT_HUMAN SERPINA3 ELISA tesk kit
Related articles to: AACT_HUMAN SERPINA3 ELISA tesk kit
- Understanding the molecular mechanisms of autism spectrum disorder (ASD) and its psychiatric comorbidities, including bipolar disorder (BD), is pivotal for uncovering pathways that shape neurodevelopmental trajectories and clinical heterogeneity. We aimed to identify ASD-specific gene-expression signatures and disrupted biological processes in prefrontal cortex, contrasting them with those observed in BD. - Source: PubMed
Publication date: 2026/08/04
Marmontel PedroRabelo-da-Ponte Francisco DiegoKapczinski FlávioGottfried Carmem - Neonatal calf health critically depends on successful passive transfer of immunity (PTI) via colostrum. Although PTI is routinely assessed by serum IgG concentration, associated systemic proteomic responses remain poorly defined. This study aimed to relate distinct PTI categories to neonatal calf serum proteomes and to evaluate colostrum proteomes to identify proteins influencing passive transfer success. Forty Holstein cow-calf pairs were enrolled. Calf serum was collected before colostrum feeding (0 h) and at 48 h. Serum IgG was quantified by ELISA, and calves were classified at 48 h as failed (FPTI, <1000 mg/dL, n = 11), adequate (APTI, 1000-2000 mg/dL, n = 11), or excellent (EPTI, >2000 mg/dL, n = 18). For proteomic analyses, five calves were purposefully selected in each group; serum samples were pooled by PTI group and time point, and colostrum samples by PTI group, then analyzed by LC-MS/MS in DIA mode. Proteomics identified 54 proteins in colostrum and 80 in serum, 27 of which were shared between matrices. Post-colostrum intake, 21 (FPTI), 5 (APTI), and 30 (EPTI) serum proteins changed significantly from 0 to 48 h. In EPTI calves, haptoglobin (Hp) (51.10-fold) and pigment epithelium-derived factor (PEDF) (27.24-fold) showed the strongest upregulation. At 48 h, lipopolysaccharide-binding protein (LBP) and haemoglobin subunit epsilon (Hb-ε) were lower in EPTI, whereas PEDF, polymeric immunoglobulin receptor (PIGR), and SERPINA3-6 were higher, consistent with coordinated activation of acute-phase, mucosal/transport, and protease-antiprotease pathways. These findings indicate that PTI involves coordinated proteomic changes beyond IgG alone and highlight candidate biomarkers of successful passive immunity in neonatal calves. - Source: PubMed
Publication date: 2026/07/17
Kaçar YiğitTopal OnurMecitoğlu ZaferSağlam NezaketFthenakis George CBatmaz Hasan - Maternal obesity is a well-established risk factor for preeclampsia; however, whether increased maternal BMI is associated with biologically distinct subtypes of this disorder remains unknown. - Source: PubMed
Publication date: 2026/07/14
Duehring Jasmin AYu Peter TDeihl Tiffany EFlyer ZoeSchomberg John P - Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, which can cause multi-organ damage and life-threatening outcomes for both mothers and foetuses. Its pathogenesis remains incompletely elucidated, with placental dysfunction widely recognized as a core pathogenic factor. This study integrated multiple placental transcriptome and single-cell sequencing datasets from the Gene Expression Omnibus (GEO) database, employing a multi-dimensional bioinformatics approach - including differential expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), machine learning, molecular subtype clustering, single-cell resolution analysis, and intercellular communication analysis - to systematically identify PE-related key genes, construct a diagnostic model, define molecular subtypes, and explore potential molecular mechanisms. Results showed 10 differentially expressed genes (DEGs) were identified in PE placental tissues; WGCNA pinpointed the turquoise module as the core PE-associated module. Further screening using 11 machine learning algorithms identified 9 feature genes with high diagnostic value (DDR1, DIO2, FSTL3, HK2, HTRA4, LEP, SERPINA3, TMEM45A, TREM1). A diagnostic model built with the 'Stepglm[forward]' algorithm exhibited excellent performance in both training and validation sets (average AUC = 0.865). Molecular subtype analysis classified PE samples into two subtypes (C1, C2) with significantly distinct immune infiltration profiles, where the C1 subtype showed higher immune cell infiltration. Single-cell analysis identified 11 cell types in PE placental tissue and highlighted TMEM45A as a key DEG. Intercellular communication analysis revealed the VEGF signalling pathway as the core driver of abnormal cellular crosstalk in PE, primarily mediating signal transduction between villous cytotrophoblast cells (VCT), extravillous trophoblast cells (EVT), and endothelial cells. Hypoxia scoring analysis demonstrated significantly higher hypoxia levels in the PE group compared to normal controls, with TMEM45A expression positively correlated with hypoxia scores. This study provides novel insights into the molecular pathogenesis of PE and offers potential biomarkers and a theoretical basis for its early diagnosis and targeted therapy. - Source: PubMed
Publication date: 2026/07/20
Li NiTian LinWei Haiyun - Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy in which perineural invasion (PNI) represents a key indicator of poor prognosis; however, the underlying mechanisms of neuro-immune crosstalk remain incompletely understood. To address this, we integrated spatial transcriptomics, multiplex immunofluorescence, single-cell RNA sequencing, DRG neuron co-culture systems, CD8 T cell cytotoxicity assays, orthotopic PDAC models, flow cytometry, and TCGA analyses. Spatial transcriptomics revealed elevated SERPINA3 expression and an immunosuppressive transcriptional program in tumor cells at the neural interface. In vivo, sensory denervation reduced tumor growth, decreased myeloid-derived suppressor cells and M2 macrophages, and enhanced TNF-α CD8 T cell activity. Mechanistically, DRG-derived sensory neurons induced SERPINA3 expression in tumor cells, promoting resistance to CD8 T cell-mediated apoptosis. Clinically, high SERPINA3 expression correlated with reduced cytotoxic immune infiltration and poorer overall survival. Collectively, these findings suggest that sensory neuron-induced SERPINA3 contributes to immune evasion in PDAC, highlighting its potential as a prognostic biomarker and a candidate target for remodeling the tumor immune microenvironment in preclinical settings. - Source: PubMed
Publication date: 2026/07/10
Liu BihanYang YuankangZhang YuxiXin ChenglinZhang TianzhenPan LehanZhang ZhongtaoYang YingchiGuo WeiTian Dan