EphB2
- Known as:
- EphB2
- Catalog number:
- AP01166PU-N
- Product Quantity:
- 100 µg
- Category:
- -
- Supplier:
- ACR
- Gene target:
- EphB2
Related genes to: EphB2
- Gene:
- EPHB2 NIH gene
- Name:
- EPH receptor B2
- Previous symbol:
- DRT, ERK, EPHT3
- Synonyms:
- Hek5, Tyro5
- Chromosome:
- 1p36.12
- Locus Type:
- gene with protein product
- Date approved:
- 1995-05-09
- Date modifiied:
- 2019-04-23
Related products to: EphB2
Anti- EPHB2 DRT Nuk AntibodyAnti-EphB1, EphB2, EphB3 Monoclonal Antibodyanti-EPHB2anti-EPHB2Anti-EphB2 produced in goat Antibodyanti-EPHB2 (2D12C6)anti-EphB2 (2D12C6)anti-EPHB2 (2D12C6)anti-EPHB2 (2D12C6) type: Primary antibodies host: MouseAnti-EPHB2 (2D12C6), Mouse Monoclonal to EPHB2, Isotype IgG2b, Host MouseAntibodies: EPHB2 _ DRT _ Nuk HOST: Goat Clonality: pAbAnti_EphB1, EphB2, EphB3 MonoclonalcEK5,CEK5,Chicken,EK5,EPHB2,EPH-like kinase 5,Ephrin type-B receptor 2,Gallus gallusChicken EPH receptor B2 (EPHB2) ELISA kit, Species Chicken, Sample Type serum, plasmaChicken Ephrin type-B receptor 2(EPHB2) ELISA kit Related articles to: EphB2
- - Source: PubMed
Publication date: 2026/06/25
Chai XingxingXu YanqiuChai JiaxinDeng WenfangWang JiandongWang SiliZhuang Wanchuan - IntroductionColorectal cancer (CRC) is a common malignancy characterized by high recurrence rates and frequent late-stage diagnoses, highlighting the need for reliable prognostic biomarkers. Despite the existence of several multi-gene prognostic models, these often fail to account for individual molecular heterogeneity and the influence of neuromodulatory pathways. The Axon Guidance pathway, a critical regulator of the nervous system, has been implicated in tumor progression; however, its prognostic significance in CRC remains largely unexplored.MethodTo address this gap, a novel prognostic index, the Optimal Prognostic Index of Survival Variables (OPISV), was developed. Using transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) CRC cohort, survival-associated genes were first identified through Kaplan-Meier analysis, and differentially expressed genes were determined via the Wilcoxon rank-sum test. Key prognostic variables were rigorously selected through univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and stepwise multivariate Cox regression. The final OPISV model incorporated four variables: age, M stage, EPHB2, and ZNF346. Its predictive performance was robustly evaluated using time-dependent receiver operating characteristic (ROC) curves, Kaplan-Meier survival analysis, and calibration curves, with external validation in two independent Gene Expression Omnibus (GEO) datasets (GSE39582 and GSE17537). Protein expression levels of the target genes were further validated by Western blotting in CRC tissues and matched adjacent non-tumor tissues from our hospital.ResultThe OPISV model effectively stratified patients into high- and low-risk groups with significantly different overall survival (p < 0.001). Functional enrichment analysis revealed significant activation of the Axon Guidance pathway in the high-risk group. Unsupervised clustering of related genes confirmed the pathway's central role and highlighted distinct immune and mutational landscapes between subtypes. Western blotting analysis of clinical samples confirmed significant upregulation of EPHB2 and ZNF346 proteins in CRC tissues, highlighting their biological and clinical relevance.ConclusionThe OPISV model is a reliable and practical tool for predicting CRC prognosis and offers valuable mechanistic insights into the role of the Axon Guidance pathway in tumor progression. - Source: PubMed
Publication date: 2026/06/22
Wei YiLi BinBinChu WeiJianRao ChunHui - Dengue fever, a mosquito-borne disease caused by dengue virus (DENV), has become a global health problem, and no FDA-approved drug is currently available. Qingwen Baidu Decoction (QBD) is used to treat the critical phase of dengue fever in China, but its mechanism of action remains unclear. In this work, we integrated bioinformatics analysis, machine learning, and network pharmacology to investigate the possible molecular targets and potential active chemical components of QBD. Common targets between differentially expressed genes from DENV infected samples and predicted targets of QBD were identified by bioinformatics analysis and refined by machine learning algorithms including LASSO, random forest and SVM-RFE. Three core genes, CXCL10, EZH2 and EPHB2 were significantly overexpressed in dengue fever patients, indicating their potential diagnostic and therapeutic value. Single cell transcriptome analysis further revealed that QBD primarily targets dendritic cells, monocytes and macrophages. Immune infiltration analysis using ssGSEA showed that these three core genes were significantly associated with CD4 and CD8 T cell subtypes, suggesting their involvement in host immune regulation. Molecular docking and molecular dynamics simulations identified eight chemical components of QBD as potential active ingredients. Based on these computational predictions, we hypothesize that QBD may exert its therapeutic effects through dual mechanisms, including directly binding to DENV proteins to inhibit viral replication, while also regulating the function of CXCL10 and EZH2 to alleviate DENV-induced inflammatory responses and modulate host immunity. These results provide a theoretical reference for future experimental validation and drug development. - Source: PubMed
Publication date: 2026/06/23
Xiao YanLiu ZhanchenHu ShengjieYao PengLiu YajunCheng Maosheng - Atherosclerosis (AS) is a major cause of cardiovascular diseases, with OX-LDL-induced VSMC dysfunction being a critical pathogenic driver of AS development. Saikosaponin D (SSD), a bioactive compound, shows therapeutic potential, but its mechanism in AS is unclear. - Source: PubMed
Yan MeihuaTang TianWang YanxiuQin YuzhenHao QiangweiChen XinriLuo Xianmin - Long noncoding RNAs (lncRNAs) have significant impacts on the occurrence and development of many cancers. However, their effects and mechanisms on prostate cancer (PCa) remain largely unknown. The study was to explore the influence of lncSPATA8-AS1 on PCa and its molecular mechanism of action. - Source: PubMed
Publication date: 2026/05/26
Zhong JinmanDeng YanmengQin XingruYang Quanxin