Fraction V BSA powder, protease free, 1KG
- Known as:
- Fraction V cow blood serum albumin powder, protease free, 1KG
- Catalog number:
- BAC65-1000
- Category:
- -
- Supplier:
- Equitech
- Gene target:
- Fraction BSA powder protease free 1KG
Related genes to: Fraction V BSA powder, protease free, 1KG
- Gene:
- HTRA1 NIH gene
- Name:
- HtrA serine peptidase 1
- Previous symbol:
- PRSS11
- Synonyms:
- HtrA, IGFBP5-protease, ARMD7
- Chromosome:
- 10q26.13
- Locus Type:
- gene with protein product
- Date approved:
- 1997-07-25
- Date modifiied:
- 2016-10-05
Related products to: Fraction V BSA powder, protease free, 1KG
(Arg8)-Vasopressin (free acid)
98% C46H64N14O13S2 CAS: 25255-33-8(Arg8)-Vasopressin - EIA Kit (H - sr, pl), Host Rabbit, Extraction-free, CE-marked(Arg8)-Vasopressin - EIA Kit (H - sr, pl), Host RabbitExtraction-freeCE-marked(Arg8)-Vasopressin - EIA Kit (H - sr, pl), Host: Rabbit, Extraction-free, CE-marked(Arg8)-Vasopressin - EIA Kit (H - sr, pl), Host: Rabbit, Extraction-free, CE-marked(Arg8)-Vasopressin - EIA Kit (R - sr, pl), Host Rabbit, Extraction-free, CE-marked(Arg8)-Vasopressin - EIA Kit (R - sr, pl), Host RabbitExtraction-freeCE-marked(Arg8)-Vasopressin - EIA Kit (R - sr, pl), Host: Rabbit, Extraction-free, CE-marked(Arg8)-Vasopressin - EIA Kit (R - sr, pl), Host: Rabbit, Extraction-free, CE-marked(Arg8)_Vasopressin (free acid) Salt Trifluoroacetate Binding (Disulfide_bond) Synonym Leiormone (free acid), Pitressin (free acid), AVP (free acid), Arginine Antidiuretic Hormone (free acid), Argip(Arg8)_Vasopressin (free acid) Salt Trifluoroacetate Binding (Disulfide_bond) Synonym Leiormone (free acid), Pitressin (free acid), AVP (free acid), Arginine Antidiuretic Hormone (free acid), Argip(Arg8)_Vasopressin (free acid) Salt Trifluoroacetate Binding (Disulfide_bond) Synonym Leiormone (free acid), Pitressin (free acid), AVP (free acid), Arginine Antidiuretic Hormone (free acid), Argip(Arg8)_Vasopressin (free acid) Salt Trifluoroacetate Binding (Disulfide_bond) Synonym Leiormone (free acid), Pitressin (free acid), AVP (free acid), Arginine Antidiuretic Hormone (free acid), Argip(Arg8)_Vasopressin _ EIA Kit (H _ sr, pl), Host Rabbit, Extraction Free(Arg8)_Vasopressin _ EIA Kit (R _ sr, pl), Host Rabbit, Extraction Free Related articles to: Fraction V BSA powder, protease free, 1KG
- Ischemic cardiomyopathy (ICM), a leading cause of heart failure, is characterised by complex cellular heterogeneity and a dysregulated microenvironment. A systematic computational dissection of its molecular mechanisms and a coherent pipeline from discovery to potential therapeutics is currently lacking. We integrated single-cell RNA sequencing (scRNA-seq) data from ICM patients with four independent bulk transcriptomic cohorts. A cardiac cellular atlas was constructed, and candidate genes were filtered through differential expression analysis. Subsequently, a benchmark of 127 machine learning algorithm-feature selection combinations was performed to identify robust diagnostic hub genes. Their functions were validated at single-cell resolution via UCell scoring, pseudotime trajectory analysis, and virtual knockout perturbations using scTenifoldKnk. The immune infiltration landscape was assessed using CIBERSORT and MCP-counter. Finally, computational drug repositioning and molecular docking were employed to screen for potential compounds targeting the hub genes. Machine learning identified a core 5-gene signature (NPPA, HTRA1, LUM, ASPN, and OGN) demonstrating excellent diagnostic performance across independent datasets (AUC > 0.83). Single-cell analysis revealed that these genes were most abundantly expressed in fibroblasts and were consistently upregulated in ICM. Pseudotemporal trajectory analysis illustrated their dynamic expression patterns. Virtual knockout and functional enrichment indicated that four of these genes (ASPN, HTRA1, LUM, OGN) significantly perturbed pathways related to the regulation of inflammatory response. Immune profiling revealed increased infiltration of fibroblasts and plasma cells in ICM. Molecular docking identified the compound LDN-193189 as a potential lead molecule with high predicted binding affinity (binding energy < -9 kcal·mol) for ASPN, LUM, and OGN. Through multi-omics integration and computational biology, this study systematically delineates a fibroblast-centric molecular network involving key hub genes and an altered immune microenvironment in ICM and computationally proposes a potential therapeutic candidate. These findings provide a crucial computational foundation and experimental direction for understanding ICM pathology and developing novel therapeutic strategies. - Source: PubMed
Yu GaoxiuKan TongShen JianZhang YanmingWang CongGuo ZhifuChen Feng - Patients with heart failure (HF) frequently develop atrial fibrillation, but the precise molecular mechanisms are unclear, leading to limited therapeutic strategies. - Source: PubMed
Publication date: 2026/06/06
Nian SiqiZhao LuluHe XiaokangXia PingLiu YanqingHua BaotongLi JunZhang Hongxing - Genome-wide association studies (GWASs) have identified common genetic risk loci for ischemic stroke (IS), primarily in European populations older than 55 years. We aimed to identify common and rare risk variants associated with early-onset IS (ages 18-54) in Taiwan. - Source: PubMed
Publication date: 2026/06/01
Wang Yin-ChengLiu Kai-MingGan Yu-LingChi Nai-FangLu Liang-SueiChou Che-YuWang Liang-YunChang Li-HsinHou Ming-ChihFu Yun-ChingChiou Jeng-FongWu Ming-ShiangYang Shun-FaPang See-TongWang Jaw-YuanTsai Yi-TingHuang Chih-YangChiu Kuan-MingChen MingChiang Fu-TienWang Chih-HungYao Wei-JenLee Sing-LianHuang Chi-HungLiu Yo-TsenWang Shuu-JiunKo Wen-YaChen Chien-HsiunLee I-Hui - - Source: PubMed
Publication date: 2026/05/27
Tsuchiya TakahiroMiyawaki SatoruHirano YudaiSakai YuOhara KentaInoue YoheiKomura DaisukeShinozaki-Ushiku AyaOgawa ShotaroSato DaisukeHongo HirokiHirata SoTeranishi YuOno HideakiOtani YoshihiroTakami HirokazuUshiku TetsuoIshikawa ShumpeiTanaka ShotaIchimura KoichiSaito Nobuhito - Ovarian cancer (OVCA) remains the most lethal gynecologic malignancy, with poor prognosis largely due to late-stage diagnosis and therapy resistance. Pyroptosis, a pro-inflammatory form of programmed cell death, has recently emerged as a regulator of tumor progression and immune regulation. This study aimed to systematically profile pyroptosis-related genes and identify robust biomarkers for OVCA. Microarray data from the GSE54388 dataset were analyzed to characterize pyroptosis-related gene expression. Immune cell infiltration was assessed using xCell, and pathway enrichment was performed via Gene Set Enrichment Analysis (GSEA). Weighted Gene Co-expression Network Analysis (WGCNA) identified hub genes, followed by Gene Ontology (GO) and Reactome enrichment. Machine learning algorithms (Support Vector Machine, XGBoost, and Generalized Linear Model) were employed for feature selection and biomarker identification. Validation was conducted across independent bulk and scRNA-seq datasets, with GEPIA2 used to compare OVCA and normal samples and KMplot for survival analysis. OVCA samples showed significantly reduced infiltration of CD4 and CD8 T cells, mast cells, monocytes, neutrophils, and immature dendritic cells compared to normal samples. GSEA revealed enrichment of cell cycle-related pathways, implicating pyroptosis-related genes as key regulators of mitotic progression. From 1097 differentially expressed genes, 22 pyroptosis-related DEGs (PYRDEGs) were identified, with nine hub genes (CASP1, CEP55, CHMP4C, HTRA1, IL18, MELK, PKM, PTX3, TNFSF13B) strongly associated with OVCA. Functional enrichment linked these genes to cytokinesis, inflammasome activity, and immune signaling. Machine learning consistently identified CEP55 as the core biomarker, demonstrating high diagnostic accuracy (AUC up to 0.972) and significant upregulation in OVCA samples. Correlation analysis linked CEP55 expression to altered immune cell populations, including positive associations with Th1 and class-switched memory B-cells and negative associations with iDCs, Tregs, and M2 macrophages. CEP55 was highly expressed across bulk and scRNA-seq datasets (cancer epithelial and CD8+ TEMRA cells) and negatively correlated with overall survival (OS) and progression-free survival (PFS). Pyroptosis-related genes play pivotal roles in OVCA pathogenesis. CEP55 emerges as a promising biomarker for early detection and a potential therapeutic target, bridging cell cycle regulation with immune modulation. - Source: PubMed
Publication date: 2026/05/21
Arya RakeshBiswas Viplov KumarShakya HemlataKim Jong-Joo