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cd44 im7  (Bio X Cell)


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    Structured Review

    Bio X Cell cd44 im7
    Cd44 Im7, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 95/100, based on 26 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/invivomab+anti+human+cd44+antibody/pmc12881594-456-25-26?v=Bio+X+Cell
    Average 95 stars, based on 26 article reviews
    cd44 im7 - by Bioz Stars, 2026-07
    95/100 stars

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    Bio X Cell anti mouse cd44
    <t>CD44</t> mediates the positive feedback between IL‐17A and NETs. A) Venn diagram of core genes calculated using different algorithms. B) IHC assessment of CD44 expression levels in different groups ( n = 5 per group). C) FCM analysis of CD44 and Cxcr4 expression levels in in vitro cultures ( n = 5 per group). D,E) Fundus images, clinical scores, H&E staining, and pathological scores of EAU mouse models treated with anti‐CD44 ( n = 5 per group). F) Proportion of infiltrating CD4 + T cells and neutrophil (CD11b + LY6G + ) in the retina of EAU and anti‐CD44 groups ( n = 5 per group). G) Expression levels of IL‐17A in CD4 + T cells derived from CDLNs, spleen, and PBMC of EAU and anti‐CD44 groups ( n = 5 per group). H,I) Serum levels of dsDNA and MPO in two groups ( n = 5 per group). J) IF assessment of NETs levels in CDLNs and spleen of EAU and anti‐CD44 groups ( n = 5 per group). Scale bars, 50 µm. Significance in B,C was determined using one‐way ANOVA and Bonferroni multiple comparison test. Significance in D,E was determined using Mann–Whitney Test. Significance in F‐J was determined using unpaired two‐tailed Student's t ‐tests. Results are presented as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
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    Bio X Cell antimouse human cd44 neutralizing antibody
    Fig. 8 Schematic illustration of ITIH5-mediated fibroblast–macrophage crosstalk exacerbates cardiac remodelling after MI. In myocardial tissue, ITIH5 expression is upregulated after MI and is localised to the ECM, regulating ECM-macrophage-fibroblast signalling network interaction thereby promoting macrophage profibrotic phenotype transformation, CFs activation and cardiac remodelling. In addition, highly expressed ITIH5 can be secreted into the peripheral blood and act as a biomarker in patients with ICM. In terms of mechanism of action, ITIH5 activates the <t>CD44</t> receptors on the surface of the macrophage cell membrane in a hyaluronan-dependent manner and activates the macrophage STAT3 signalling pathway, promoting profibrotic phenotype transformation
    Antimouse Human Cd44 Neutralizing Antibody, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    CD44 mediates the positive feedback between IL‐17A and NETs. A) Venn diagram of core genes calculated using different algorithms. B) IHC assessment of CD44 expression levels in different groups ( n = 5 per group). C) FCM analysis of CD44 and Cxcr4 expression levels in in vitro cultures ( n = 5 per group). D,E) Fundus images, clinical scores, H&E staining, and pathological scores of EAU mouse models treated with anti‐CD44 ( n = 5 per group). F) Proportion of infiltrating CD4 + T cells and neutrophil (CD11b + LY6G + ) in the retina of EAU and anti‐CD44 groups ( n = 5 per group). G) Expression levels of IL‐17A in CD4 + T cells derived from CDLNs, spleen, and PBMC of EAU and anti‐CD44 groups ( n = 5 per group). H,I) Serum levels of dsDNA and MPO in two groups ( n = 5 per group). J) IF assessment of NETs levels in CDLNs and spleen of EAU and anti‐CD44 groups ( n = 5 per group). Scale bars, 50 µm. Significance in B,C was determined using one‐way ANOVA and Bonferroni multiple comparison test. Significance in D,E was determined using Mann–Whitney Test. Significance in F‐J was determined using unpaired two‐tailed Student's t ‐tests. Results are presented as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Journal: Advanced Science

    Article Title: NETs‐CD44‐IL‐17A Feedback Loop Drives Th17‐Mediated Inflammation in Behçet's Uveitis

    doi: 10.1002/advs.202411524

    Figure Lengend Snippet: CD44 mediates the positive feedback between IL‐17A and NETs. A) Venn diagram of core genes calculated using different algorithms. B) IHC assessment of CD44 expression levels in different groups ( n = 5 per group). C) FCM analysis of CD44 and Cxcr4 expression levels in in vitro cultures ( n = 5 per group). D,E) Fundus images, clinical scores, H&E staining, and pathological scores of EAU mouse models treated with anti‐CD44 ( n = 5 per group). F) Proportion of infiltrating CD4 + T cells and neutrophil (CD11b + LY6G + ) in the retina of EAU and anti‐CD44 groups ( n = 5 per group). G) Expression levels of IL‐17A in CD4 + T cells derived from CDLNs, spleen, and PBMC of EAU and anti‐CD44 groups ( n = 5 per group). H,I) Serum levels of dsDNA and MPO in two groups ( n = 5 per group). J) IF assessment of NETs levels in CDLNs and spleen of EAU and anti‐CD44 groups ( n = 5 per group). Scale bars, 50 µm. Significance in B,C was determined using one‐way ANOVA and Bonferroni multiple comparison test. Significance in D,E was determined using Mann–Whitney Test. Significance in F‐J was determined using unpaired two‐tailed Student's t ‐tests. Results are presented as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Article Snippet: Similarly, EAU mice were also intraperitoneally injected with monoclonal anti‐mouse CD44 (5 mg kg −1 , Bioxcell, BE0445), anti‐mouse IL‐17A (5 mg kg −1 , Bioxcell, BE0173) or control IgG antibody every other day for two weeks.

    Techniques: Expressing, In Vitro, Staining, Derivative Assay, Comparison, MANN-WHITNEY, Two Tailed Test

    Neutrophils interact with CD44 high CD4 + cells through NETs. A) tSNE distribution plot of CD44 high CD4 + T cells. B) Tissue preference analysis of CD44 high CD4 + T cells versus CD44 low CD4 + T cells. C) Bar chart of cell communication quantity and intensity across normal, EAU, and GSK484 groups. D,E) Interaction network and heatmap of cell communication quantity and intensity between CD44 low CD4 + T cells, CD44 high CD4 + T cells, and neutrophils in EAU versus normal group and in GSK484 versus EAU group. F,G) Interaction network and heatmap of cell communication quantity and intensity between CD4 + T cell subsets and neutrophils in EAU versus normal group and in GSK484 versus EAU group. H) MIF staining of spleen and CDLNs in different groups. I) Quantification of MIF staining in spleen and lymph nodes across different groups ( n = 5 per group). J) Interaction model between neutrophils and CD44 high CD4 + cells. Significance in I was determined using one‐way ANOVA followed by Bonferroni multiple comparison test and Spearman correlation test. Results are presented as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Journal: Advanced Science

    Article Title: NETs‐CD44‐IL‐17A Feedback Loop Drives Th17‐Mediated Inflammation in Behçet's Uveitis

    doi: 10.1002/advs.202411524

    Figure Lengend Snippet: Neutrophils interact with CD44 high CD4 + cells through NETs. A) tSNE distribution plot of CD44 high CD4 + T cells. B) Tissue preference analysis of CD44 high CD4 + T cells versus CD44 low CD4 + T cells. C) Bar chart of cell communication quantity and intensity across normal, EAU, and GSK484 groups. D,E) Interaction network and heatmap of cell communication quantity and intensity between CD44 low CD4 + T cells, CD44 high CD4 + T cells, and neutrophils in EAU versus normal group and in GSK484 versus EAU group. F,G) Interaction network and heatmap of cell communication quantity and intensity between CD4 + T cell subsets and neutrophils in EAU versus normal group and in GSK484 versus EAU group. H) MIF staining of spleen and CDLNs in different groups. I) Quantification of MIF staining in spleen and lymph nodes across different groups ( n = 5 per group). J) Interaction model between neutrophils and CD44 high CD4 + cells. Significance in I was determined using one‐way ANOVA followed by Bonferroni multiple comparison test and Spearman correlation test. Results are presented as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

    Article Snippet: Similarly, EAU mice were also intraperitoneally injected with monoclonal anti‐mouse CD44 (5 mg kg −1 , Bioxcell, BE0445), anti‐mouse IL‐17A (5 mg kg −1 , Bioxcell, BE0173) or control IgG antibody every other day for two weeks.

    Techniques: Staining, Comparison

    Fig. 8 Schematic illustration of ITIH5-mediated fibroblast–macrophage crosstalk exacerbates cardiac remodelling after MI. In myocardial tissue, ITIH5 expression is upregulated after MI and is localised to the ECM, regulating ECM-macrophage-fibroblast signalling network interaction thereby promoting macrophage profibrotic phenotype transformation, CFs activation and cardiac remodelling. In addition, highly expressed ITIH5 can be secreted into the peripheral blood and act as a biomarker in patients with ICM. In terms of mechanism of action, ITIH5 activates the CD44 receptors on the surface of the macrophage cell membrane in a hyaluronan-dependent manner and activates the macrophage STAT3 signalling pathway, promoting profibrotic phenotype transformation

    Journal: Journal of translational medicine

    Article Title: ITIH5-mediated fibroblast/macrophage crosstalk exacerbates cardiac remodelling after myocardial infarction.

    doi: 10.1186/s12967-025-06244-5

    Figure Lengend Snippet: Fig. 8 Schematic illustration of ITIH5-mediated fibroblast–macrophage crosstalk exacerbates cardiac remodelling after MI. In myocardial tissue, ITIH5 expression is upregulated after MI and is localised to the ECM, regulating ECM-macrophage-fibroblast signalling network interaction thereby promoting macrophage profibrotic phenotype transformation, CFs activation and cardiac remodelling. In addition, highly expressed ITIH5 can be secreted into the peripheral blood and act as a biomarker in patients with ICM. In terms of mechanism of action, ITIH5 activates the CD44 receptors on the surface of the macrophage cell membrane in a hyaluronan-dependent manner and activates the macrophage STAT3 signalling pathway, promoting profibrotic phenotype transformation

    Article Snippet: The antimouse/human CD44 neutralizing antibody (BE0039) and IgG2b isotype control (BE0090) were purchased from BioXcell (West Lebanon, USA).

    Techniques: Expressing, Transformation Assay, Activation Assay, Biomarker Discovery, Membrane