Ask about this productRelated genes to: CXCR4 Blocking Peptide
- Gene:
- CXCR4 NIH gene
- Name:
- C-X-C motif chemokine receptor 4
- Previous symbol:
- -
- Synonyms:
- LESTR, NPY3R, HM89, NPYY3R, D2S201E, fusin, HSY3RR, NPYR, CD184
- Chromosome:
- 2q22.1
- Locus Type:
- gene with protein product
- Date approved:
- 1998-09-17
- Date modifiied:
- 2019-04-23
Related products to: CXCR4 Blocking Peptide
Related articles to: CXCR4 Blocking Peptide
- Human gingival fibroblasts (HGFs) are stromal cells that maintain periodontal tissue structure and extracellular matrix (ECM) dynamics. ECM stiffness serves as a physical cue that regulates HGF behavior and secretory profiles. This study investigated how substrate stiffness modulates the secretome of HGFs and observed the subsequent effects of this secretome on the osteogenic differentiation of human periodontal ligament cells (HPDLCs). - Source: PubMed
Publication date: 2026/04/15
Tiskratok WatcharapholYamada MasahiroKyawsoewin MaythweLwin Hnin YuEgusa HiroshiJitprasertwong PaiboonLimraksasin Phoonsuk - Endometriosis (EMS) is a common gynecological disease that seriously affects women's health and quality of life. However, the detailed dynamic cellular and molecular mechanisms underlying EMS pathogenesis remain largely unknown. This study establishes a novel diagnostic model to distinguish ectopic endometrium (EC) from eutopic endometrium (EU) samples. This study elucidated the critical role of low-density lipoprotein receptor-related protein 1 (LRP1) in EMS pathogenesis through integrated multi-omics analyses. Our comprehensive approach began with merging three GEO datasets (GSE7305, GSE11691, GSE25628), identifying 1,404 differentially expressed genes (DEGs) and 489 co-expressed genes with the brown module using weighted gene co-expression network analysis (WGCNA). A machine learning algorithm identified 30 hub genes, among which LRP1 exhibited the highest diagnostic performance. Immune profiling revealed a strong positive correlation between LRP1 and M2 macrophage infiltration (r=0.62, p<0.001), while Mendelian randomization analysis confirmed a causal relationship (OR = 1.35, 95%CI:1.13-1.61, p=0.001). Single-cell RNA sequencing demonstrated LRP1 is predominantly expressed in fibroblasts and monocytes, orchestrating cell-cell communication through the MIF signaling pathway, particularly through CD74/CXCR4 interactions. Experimental validation confirmed significantly elevated LRP1 expression in ectopic lesions at both mRNA (p<0.01) and protein levels. Mechanistically, LRP1 may promote the progression of EMS by enhancing cell migration, invasion, and proliferation through the MIF signaling pathway. Collectively, these findings identified LRP1 as a central regulator of EMS progression through immunomodulation and intercellular crosstalk, offering novel diagnostic and therapeutic potential. - Source: PubMed
Publication date: 2026/04/15
Xie ChengmaoLiu Yong - The chemokine CXCL12 and its receptor CXCR4 play context-dependent roles in hair follicle biology. While recent findings suggest that regulatory T cells (Tregs) utilize the CXCL12-CXCR4 axis to modestly promote hair follicle regeneration under homeostatic conditions, a substantial body of evidence indicates that this same axis principally drives pathological processes leading to hair loss in alopecia. In androgenetic alopecia (AGA) and alopecia areata (AA) - the most common forms of hair loss - CXCL12-CXCR4 signaling fosters a fibroimmune microenvironment characterized by dermal fibrosis, chronic inflammation, and hair follicle miniaturization. CXCR4 expression in diseased scalp is found predominantly on pro-inflammatory macrophages and dermal papilla cells (DPCs), rather than on Tregs, implicating these cells in propagating hair follicle damage. Correspondingly, elevated CXCL12 from dermal fibroblasts recruits immune effectors and enhances CXCR4 signaling in follicular cells, linking hormonal or autoimmune triggers to hair follicle destruction. Treg-expressed CXCR4 contributes only a minor, context-dependent influence on hair growth, often overwhelmed by the potent pathological signals in alopecia. Therapeutically, inhibiting the CXCL12-CXCR4 axis in both AGA and AA models consistently reverses fibrosis, curtails pathogenic immune cell accumulation, restores DPC function, and stimulates robust hair regrowth. This perspective synthesizes current evidence on: (1) the cellular sources of CXCR4 in alopecic tissue; (2) the pathogenic role of CXCL12-CXCR4 signaling in AGA and AA; (3) the limited scope of Treg CXCR4 function in healthy hair growth; (4) outcomes of CXCL12/CXCR4 blockade as a treatment strategy; and (5) key confounding factors to consider when interpreting CXCR4's role in hair biology. - Source: PubMed
Publication date: 2026/04/15
Sung Jong-HyukZheng MeiPark In GukAn SeungchanCho JayhyunNoh Minsoo - Extranodal marginal zone lymphoma (EMZL) is a type of low-grade B-cell lymphoma that most commonly occurs in gastric tissue. To our knowledge, only five cases have been documented noting primary EMZL of the fallopian tube and only one case involving the ovary. We describe a rare case of extranodal marginal zone B-cell lymphoma, involving the left fallopian tube, left ovary, uterus, and left pelvic sentinel lymph node. - Source: PubMed
Publication date: 2026/04/16
Spencer CatherineAl-Quran Samer ZDent MackenzieTodd SarahHawthorne JenciMaruthi Vijaya KadamChao Ju-HseinAl-Kawaaz Mustafa - Wilms tumor (WT) is the most common pediatric kidney cancer. Tolerogenic dendritic cells (TolDCs) promote tumor immune evasion in the tumor microenvironment. Therefore, establishing a TolDC-based prognostic model for WT holds significant clinical value. We analyzed WT-related genes from The Cancer Genome Atlas and TolDC-associated datasets to identify shared differentially expressed genes using Venn analysis. Protein-protein interaction network analysis and machine learning algorithms (Boruta and Support Vector Machine Recursive Feature Elimination, SVM-RFE) were performed to screen candidate hub genes. A prognostic risk model was constructed using univariate Cox proportional hazards regression, with predictive performance evaluated by Kaplan-Meier survival analysis and receiver operating characteristic curves. Immune infiltration analysis, gene set enrichment analysis, and BioGRID were conducted to elucidate biological functions. Drug-gene interaction analysis was performed using the Drug Signature Database. A total of 181 co-expressed genes were identified. Among these, MSH2, CDH2, ALDH1A1, AURKA, CD274, FOSL2, IL15RA, GADD45B, TGM2, CXCR4, SOD2, and MT1E were selected as TolDC-associated biomarkers for WT. The prognostic model ultimately pinpointed ALDH1A1, CXCR4, and FOSL2 as key diagnostic biomarkers, supported by Kaplan-Meier survival analysis and ROC curves, which confirmed the model's robust predictive capacity for survival risk. Drug-gene interaction analysis predicted 335 potential therapeutic compounds targeting ALDH1A1, CXCR4, and FOSL2. Comprehensive bioinformatics analysis identified the prognostic biomarkers of WT related to TolDCs, providing new insights for personalized WT treatment. - Source: PubMed
Publication date: 2026/04/30
Sun XiaolanGao YaqingMeng KexinWang YixuanWang Bei