HSPG2 antibody
- Known as:
- HSPG2 (anti-)
- Catalog number:
- 10-1960
- Product Quantity:
- 200 ul
- Category:
- -
- Supplier:
- Fitzgerald
- Gene target:
- HSPG2 antibody
Related genes to: HSPG2 antibody
- Gene:
- HSPG2 NIH gene
- Name:
- heparan sulfate proteoglycan 2
- Previous symbol:
- SJS1
- Synonyms:
- perlecan, PRCAN
- Chromosome:
- 1p36.12
- Locus Type:
- gene with protein product
- Date approved:
- 1991-02-27
- Date modifiied:
- 2016-10-05
Related products to: HSPG2 antibody
Related articles to: HSPG2 antibody
- : Osteoporosis (OP) arises from dysregulated bone metabolism driven by genetic and epigenetic factors. Osteoblasts are central to bone formation, and their functional heterogeneity-shaped by genetic background and receptor expression profiles-may critically influence OP susceptibility. This study aimed to identify osteoblast-specific genes robustly associated with OP and elucidate their underlying pathogenic mechanisms. : We analyzed single-cell RNA sequencing (scRNA-seq), bulk RNA sequencing (bulk RNA-seq), and spatial transcriptomics (ST) datasets of osteoblasts. Differentially expressed genes (DEGs) were identified from scRNA-seq and bulk RNA-seq datasets, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Three machine learning methods and an artificial neural network (ANN)-based weighting analysis, together with weighted gene co-expression network analysis (WGCNA), were used to prioritize candidate OP-associated genes. ST data were integrated with CellChat analysis based on scRNA-seq data to investigate spatial expression patterns and potential cell-cell communication. Candidate genes were validated by immunohistochemical staining in human femoral head samples and quantitative real-time PCR (qRT-PCR) in MC3T3-E1 cells. : The intersecting DEGs from the scRNA-seq and bulk RNA-seq datasets were potentially related to inhibition of ossification. Three machine learning methods identified five osteoporosis-associated candidate genes: TTYH3, NRBP2, MPG, HSPG2, and GPR153, which were subsequently evaluated using ANN-based weighting analysis. Among these, TTYH3 and MPG were identified as OP-related genes by WGCNA. Integration of the scRNA-seq, ST, and CellChat results suggested that SPP1 was highly expressed in osteoblasts from the OP sample and exhibited a spatially heterogeneous expression pattern. Immunohistochemical staining of human femoral head tissues from individuals with normal bone mass and osteoporosis, together with qRT-PCR analysis in MC3T3-E1 cells, further validated the differential expression of TTYH3 and MPG. : This study identified candidate osteoporosis-associated biomarkers and provided insights into potential pathogenic mechanisms, thereby establishing a basis for future mechanistic and clinical validation. - Source: PubMed
Publication date: 2026/09/20
Diao HengyiLi QianningTu YuchengWu YangHuang QiaojunMeng FangangChen Weishen - Elevated expression of tumor necrosis factor α-induced protein 8 (TIPE) is observed in colorectal cancer (CRC) and is known to regulate decoy receptor 3 (DcR3) expression while promoting M2 polarization of macrophages. However, the precise role of DcR3 in macrophage M2 polarization remains to be elucidated. - Source: PubMed
Publication date: 2026/09/04
Zhang ShiyingShen ChunlinLin ZeyangZhu QiangFeng YihanSun LiweiZhang ChengjiaZhang HaoleWang LuminChen ShuyuHuang JiyiYe YuhanQiu XingfengZhuang Guohong - Endothelial heterogeneity may contribute to vascular remodeling in hepatocellular carcinoma (HCC), while ferroptosis-related iron handling intersects with hypoxic, inflammatory, and metabolic stress. We therefore characterized endothelial transcriptional states in a publicly available HCC single-nucleus RNA-sequencing dataset. - Source: PubMed
Publication date: 2026/09/18
Shi RongyuWang LeimingZhang NingZhong ChengchengDu WeiYang Xi - The comprehensive safety profile and underlying molecular mechanisms of ivermectin-associated adverse drug reactions (ADRs) remain to be fully elucidated. - Source: PubMed
Publication date: 2026/08/26
Liu BoyiChen XiaozeWang YishuoZhang HaoLiang XiaoGuan XinZhang WenchaoHan AoChen Danna - Plaque heterogeneity underlies the propensity of atherosclerotic lesions to rupture and trigger cardiovascular events. Most proteomic studies examine bulk changes, obscuring key spatial differences in protein abundance. We report a high-resolution spatial proteomics workflow exploring the molecular landscape of human plaques and a murine myocardium. By combining laser capture microdissection with high-sensitivity ion-mobility mass spectrometry, spatial profiling of cellular and extracellular matrix (ECM) proteomes was achieved. Over 2700 proteins were detected from 50,000 μm2 areas, revealing substantial intraplaque heterogeneity across distinct regions (lipid-rich, media, shoulder, necrotic core, intima) and distance from the artery lumen. Inverse correlations between proteases (cathepsin B) and core structural ECM proteins (perlecan, HSPG2) indicated active ECM remodeling. Analysis of media layers indicated distinct protein signatures associated with smooth muscle contraction and cell-cell communication. Blood coagulation signatures, including platelet degranulation and fibrin formation, were enriched at the intima. Inflammatory (clusters of differentiation 4/68, CD4/CD68; vascular cell adhesion molecule 1, VCAM1) and vascular damage markers (tenascin-C, TNC) were enriched in shoulder regions. The necrotic core was dominated by blood proteins, consistent with intraplaque hemorrhage. This workflow resolves proteomic changes over ∼200 μm distances, providing unprecedented insights into plaque morphology and offers a powerful tool for elucidating plaque biology. - Source: PubMed
Jokumsen Kathrine VLorentzen Lasse GYeung KarinResch Timothy AEiberg Jonas PDavies Michael JGamon Luke F