Sheep Versican ELISA, VCAN
- Known as:
- Sheep Versican Enzyme-linked immunosorbent assay test, VCAN
- Catalog number:
- E14V0050
- Product Quantity:
- 96 Tests/kit
- Category:
- -
- Supplier:
- BGene
- Gene target:
- Sheep Versican ELISA VCAN
Related genes to: Sheep Versican ELISA, VCAN
- Gene:
- VCAN NIH gene
- Name:
- versican
- Previous symbol:
- CSPG2
- Synonyms:
- PG-M
- Chromosome:
- 5q14.2-q14.3
- Locus Type:
- gene with protein product
- Date approved:
- 1991-07-18
- Date modifiied:
- 2018-02-13
Related products to: Sheep Versican ELISA, VCAN
Related articles to: Sheep Versican ELISA, VCAN
- The dermal papilla (DP) is essential to hair follicle development and regeneration. Isolation of human DPs still largely depends on manual microdissection and human DP cells (DPCs) lose their intrinsic properties in vitro. Establishing a culture condition that maintains the biological properties of DPCs allows for identification of cell surface markers that enable cell sorting of living human DPCs. A new DPC culture condition was developed using the combination of a WNT activator, CHIR99021, and recombinant FGF9 (CH + F9). Global gene expression profiling and bioinformatic analyses of DPCs grown under this condition were conducted to identify DPC surface markers enabling live DPC isolation. Compared to a conventional culture condition, CH + F9 increased the expression of the representative DPC biomarkers WNT5A, LEF1 and BMP4 by 3.4-, 3.8- and 60.5-fold (p < 0.01) and better maintained their expression levels after long-term serial passaging. Aggregated CH + F9-treated DPCs unevenly upregulated DP biomarkers further, suggesting that highly potent DPCs can be enriched using a marker for such cells. Bioinformatics analysis of CH + F9-treated and control DPCs identified cell marker candidates, including roundabout guidance receptor 2 (ROBO2). Importantly, ROBO2 DPCs expressing the representative DP biomarkers WNT5A, VCAN, NOG were successfully sorted from mixed cell suspensions of keratinocytes, fibroblasts and DPCs mimicking enzymatically dissociated human skin. These findings suggest that the new culture condition and cell surface marker for human DPCs established in this study provide useful tools for drug discovery and regenerative medicine to address hair loss diseases. - Source: PubMed
Hayakawa ReinaTakahashi RyoFukuyama MasahiroTsukashima AkiKimishima MomokoYamazaki YoshimiOhyama Manabu - Diffuse glioma is the most common and lethal primary malignant brain tumor, with a complicated tumor microenvironment reported. However, the role of the extracellular matrix (ECM) in diffuse gliomas remains unclear. - Source: PubMed
Publication date: 2026/05/25
Li ZhuoqunYang PingNing ZuojunShi JiJiang TaoChen JingZhang Kenan - Diabetic retinopathy (DR) represents a significant public health challenge, with the potential to cause blindness and escalate healthcare costs, yet current diagnostic and therapeutic approaches remain insufficient. This study investigated the role of glycosylation-related differentially expressed genes (GRDEGs) in DR to identify novel biomarkers and therapeutic targets. Through analysis of Gene Expression Omnibus (GEO) datasets using differential expression analysis, functional enrichment, and machine learning, we identified 39 GRDEGs-including RPS23, VCAN, and ST8SIA4-that play significant roles in DR pathogenesis. These genes were enriched in biological processes such as wound healing and sphingolipid metabolism, as well as cancer-related pathways. Immune infiltration analysis revealed distinct patterns and correlations between immune cell types and GRDEGs, suggesting immune microenvironment involvement in DR progression. External validation using an independent blood dataset demonstrated moderate discriminatory performance (AUC 0.7-0.9), though this cross-tissue comparison should be interpreted as exploratory evidence of partial gene expression consistency rather than confirmation of biological mechanisms or clinical utility. Given the limited sample size and group imbalances in the discovery cohort, these results constitute proof-of-concept findings requiring validation in larger, balanced populations. Future research should focus on functional validation of identified GRDEGs and integration of the molecular recognition model into clinical workflows to enable proactive DR management. - Source: PubMed
Publication date: 2026/05/18
Wu QiongMa Pan Pan - Major depressive disorder (MDD) is the leading cause of disability worldwide and shows marked sex differences in prevalence and symptomatology. The dorsolateral prefrontal cortex (DLPFC) and hippocampus are key regions implicated in MDD, yet the role of extracellular matrix (ECM) dysregulation in these areas remains unclear. The ECM supports neural plasticity and synaptic stability through chondroitin sulfate proteoglycans (CSPGs), remodeling enzymes, and adhesion molecules, and its disruption has been linked to psychiatric disorders. In this study, we examined postmortem DLPFC and hippocampal tissue from 20 individuals with MDD and 20 controls to assess expression of ECM-related genes (BCAN, NCAN, VCAN, ADAMTS1, ADAMTS8, CSGALNACT1, SEMA3A, TNR, ST8SIA4). Protein levels of ADAMTS8, SEMA3A, and ST8SIA4 were further examined by Western blotting. We observed that ADAMTS8 expression was significantly reduced in the DLPFC of individuals with MDD, indicating potential impairments in ECM remodeling. Sex-stratified analyses revealed decreased SEMA3A expression in males with MDD and a trend toward reduced ST8SIA4 expression in females. At the protein level, SEMA3A was increased in the DLPFC but decreased in the hippocampus when both sexes were analyzed together, suggesting region-specific or post-transcriptional regulation. Notably, SEMA3A protein levels were significantly increased in males within the DLPFC, with a trend toward decrease in males in the hippocampus. ST8SIA4 protein expression was also reduced in the DLPFC in MDD. These findings identify alterations in ECM-related gene and protein expression in MDD, supporting a role for impaired ECM remodeling and synaptic plasticity in the disorder and highlighting the ECM as a promising therapeutic target. - Source: PubMed
Publication date: 2026/06/02
Klimczak PRivero OMolto M DUnzueta-Larrinaga PAlcaide JGramuntell YMorentin BUrigüen LCallado L FNacher J - Gastric cancer (GC) is characterized by a complex tumor microenvironment (TME) with substantial cellular heterogeneity. Tumor-associated macrophages (TAMs) represent the most abundant immune cell population in the TME and exhibit remarkable functional plasticity. This study integrated single-cell RNA-sequencing (scRNA-seq) data, bulk transcriptomics, and spatial transcriptomics to systematically characterize TAM heterogeneity and identify prognostic biomarkers in GC. ScRNA-seq analysis revealed nine major cell types (T cells, plasma cells, epithelial cells, fibroblasts, macrophages, endothelial cells, B cells, smooth muscle cells, and mast cells) and distinct macrophage subpopulations with tumor-specific expansion patterns. High-dimensional weighted gene coexpression network analysis identified coexpression modules enriched in GC-associated macrophages. Machine learning algorithms were employed to construct a prognostic signature, and the CoxBoost model demonstrated superior predictive performance across multiple cohorts. The seven-gene signature, including UPP1, VCAN, ELL2, ABCA1, TUBA1A, MX2, and TSPO, showed robust prognostic value in survival prediction. Spatial transcriptomic analysis further revealed distinct metabolic profiles and extensive cellular interaction networks mediated by UPP1-expressing TAMs. These findings provide a comprehensive atlas of TAM heterogeneity and establish novel prognostic biomarkers with potential therapeutic implications in GC. - Source: PubMed
Publication date: 2026/05/27
Li ZhaoyanXu MingHuang YuqingHuang ChenWu YuanLu JiafengZhang GuangtaoZheng Lan