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Servicebio Inc anti cd4
Anti Cd4, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/anti+cd4+antibody/pmc12996994-147-11-12?v=Servicebio+Inc
Average 86 stars, based on 1 article reviews
anti cd4 - by Bioz Stars, 2026-06
86/100 stars

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Servicebio Inc cd4
MFAP5 + SFs promoted collagen deposition in synovium (A) Dendrogram showing the hierarchy organization of MEGENA network modules in GSE176308 . The top layer represented the root and largest parent modules, which branched hierarchically into smaller child modules. (B) Density plots displaying c1_9 module scores across SF clusters, with color-coded density values; red indicated higher density, and blue indicated lower density. (C) Network of pathways and genes involved in the c1_9 module, where a two-point line indicated that a gene was part of a specific pathway. (D) Raincloud plot showing c1_9 score in GSE152805 . (E and F) Gene set enrichment analysis showed collagen pathways were upregulated in MFAP5 + SFs in both GSE176308 (E) and GSE152805 (F). (G) Correlation coefficients between the expression of MFAP5 and one ECM pathway score across three datasets. (H) Violin plots of ECM binding (left) and ECM organization (right) scores across SF clusters in GSE176308 . Color-coded by SF clusters. (I) Density plots of ECM binding and ECM organization scores across SF clusters in SCP469 and GSE152805 . (J) Comparison of significant ligand-receptor pairs from SF clusters to T cells in GSE152805 . (K) Immunofluorescence images of MFAP5, <t>CD4,</t> and vimentin colocalization in synovial tissues. Scale bars, 200 or 20 μm. Statistical significance was calculated using two-tailed Wilcoxon rank-sum test (D and H) and Spearman's rank correlation analysis (G). ∗∗∗ p < 0.001.
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Effect of SL disA therapy on T cells and macrophage from tumor samples (A, B) Flow Cytometry analysis of CD3 and CD8 surface markers(A) and CD3 + CD8 + cells statistical graph (B). (C, D) Flow cytometry analysis of CD3 and <t>CD4</t> surface markers (C) and CD3 + CD4 + cells statistical graph (D). (E, F) Flow cytometry analysis of F4/80 and CD86 surface markers (E) and F4/80 + CD86 + cells statistical graph (F). Data are expressed as mean ± SEM, n = 3. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001, one-way ANOVA with Tukey’s multiple comparisons tests.
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Dakewe Biotech Co anti mouse cd4 t antibodies
The effect of RQCJ on the proportion of <t>CD4</t> + T and CD8 + T cells. (A) CD4 + /CD8 + T ratio in the different groups; (B-F) The flow cytometric analysis of CD4 + T and CD8 + T cells. Compared with the control group: ## p < 0.01. Compared with the CTX group: * p < 0.05, * * p < 0.01. (n = 12, one-way ANOVA was used for data analysis).
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The effect of RQCJ on the proportion of <t>CD4</t> + T and CD8 + T cells. (A) CD4 + /CD8 + T ratio in the different groups; (B-F) The flow cytometric analysis of CD4 + T and CD8 + T cells. Compared with the control group: ## p < 0.01. Compared with the CTX group: * p < 0.05, * * p < 0.01. (n = 12, one-way ANOVA was used for data analysis).
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Image Search Results


MFAP5 + SFs promoted collagen deposition in synovium (A) Dendrogram showing the hierarchy organization of MEGENA network modules in GSE176308 . The top layer represented the root and largest parent modules, which branched hierarchically into smaller child modules. (B) Density plots displaying c1_9 module scores across SF clusters, with color-coded density values; red indicated higher density, and blue indicated lower density. (C) Network of pathways and genes involved in the c1_9 module, where a two-point line indicated that a gene was part of a specific pathway. (D) Raincloud plot showing c1_9 score in GSE152805 . (E and F) Gene set enrichment analysis showed collagen pathways were upregulated in MFAP5 + SFs in both GSE176308 (E) and GSE152805 (F). (G) Correlation coefficients between the expression of MFAP5 and one ECM pathway score across three datasets. (H) Violin plots of ECM binding (left) and ECM organization (right) scores across SF clusters in GSE176308 . Color-coded by SF clusters. (I) Density plots of ECM binding and ECM organization scores across SF clusters in SCP469 and GSE152805 . (J) Comparison of significant ligand-receptor pairs from SF clusters to T cells in GSE152805 . (K) Immunofluorescence images of MFAP5, CD4, and vimentin colocalization in synovial tissues. Scale bars, 200 or 20 μm. Statistical significance was calculated using two-tailed Wilcoxon rank-sum test (D and H) and Spearman's rank correlation analysis (G). ∗∗∗ p < 0.001.

Journal: iScience

Article Title: MFAP5 + synovial fibroblasts drive LOX upregulation to promote osteoarthritis progression

doi: 10.1016/j.isci.2026.116286

Figure Lengend Snippet: MFAP5 + SFs promoted collagen deposition in synovium (A) Dendrogram showing the hierarchy organization of MEGENA network modules in GSE176308 . The top layer represented the root and largest parent modules, which branched hierarchically into smaller child modules. (B) Density plots displaying c1_9 module scores across SF clusters, with color-coded density values; red indicated higher density, and blue indicated lower density. (C) Network of pathways and genes involved in the c1_9 module, where a two-point line indicated that a gene was part of a specific pathway. (D) Raincloud plot showing c1_9 score in GSE152805 . (E and F) Gene set enrichment analysis showed collagen pathways were upregulated in MFAP5 + SFs in both GSE176308 (E) and GSE152805 (F). (G) Correlation coefficients between the expression of MFAP5 and one ECM pathway score across three datasets. (H) Violin plots of ECM binding (left) and ECM organization (right) scores across SF clusters in GSE176308 . Color-coded by SF clusters. (I) Density plots of ECM binding and ECM organization scores across SF clusters in SCP469 and GSE152805 . (J) Comparison of significant ligand-receptor pairs from SF clusters to T cells in GSE152805 . (K) Immunofluorescence images of MFAP5, CD4, and vimentin colocalization in synovial tissues. Scale bars, 200 or 20 μm. Statistical significance was calculated using two-tailed Wilcoxon rank-sum test (D and H) and Spearman's rank correlation analysis (G). ∗∗∗ p < 0.001.

Article Snippet: Sections were then incubated overnight at 4 °C with primary antibodies, including vimentin (GB11192, Servicebio, China), FBN1 (860327, Zenbio, China), MFAP5 (15727-1-AP, Proteintech, China), and CD4 (GB150062-50, Servicebio, China).

Techniques: Expressing, Binding Assay, Comparison, Immunofluorescence, Two Tailed Test

Effect of SL disA therapy on T cells and macrophage from tumor samples (A, B) Flow Cytometry analysis of CD3 and CD8 surface markers(A) and CD3 + CD8 + cells statistical graph (B). (C, D) Flow cytometry analysis of CD3 and CD4 surface markers (C) and CD3 + CD4 + cells statistical graph (D). (E, F) Flow cytometry analysis of F4/80 and CD86 surface markers (E) and F4/80 + CD86 + cells statistical graph (F). Data are expressed as mean ± SEM, n = 3. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001, one-way ANOVA with Tukey’s multiple comparisons tests.

Journal: Molecular Therapy Oncology

Article Title: Engineered Salmonella -mediated c-di-AMP delivery activates STING to remodel the tumor microenvironment

doi: 10.1016/j.omton.2026.201185

Figure Lengend Snippet: Effect of SL disA therapy on T cells and macrophage from tumor samples (A, B) Flow Cytometry analysis of CD3 and CD8 surface markers(A) and CD3 + CD8 + cells statistical graph (B). (C, D) Flow cytometry analysis of CD3 and CD4 surface markers (C) and CD3 + CD4 + cells statistical graph (D). (E, F) Flow cytometry analysis of F4/80 and CD86 surface markers (E) and F4/80 + CD86 + cells statistical graph (F). Data are expressed as mean ± SEM, n = 3. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001, one-way ANOVA with Tukey’s multiple comparisons tests.

Article Snippet: The following antibodies were used: FITC anti-mouse F4/80 (clone CI: A3-1), APC anti-mouse CD86 (clone GL-1), FITC anti-mouse CD3 (clone 17A2), APC anti-mouse CD4 (clone GK1.5), and APC anti-mouse CD8 (clone YTS-169), all purchased from Elabscience Biotechnology Co., Ltd.

Techniques: Flow Cytometry

The effect of RQCJ on the proportion of CD4 + T and CD8 + T cells. (A) CD4 + /CD8 + T ratio in the different groups; (B-F) The flow cytometric analysis of CD4 + T and CD8 + T cells. Compared with the control group: ## p < 0.01. Compared with the CTX group: * p < 0.05, * * p < 0.01. (n = 12, one-way ANOVA was used for data analysis).

Journal: Dose-Response

Article Title: The Effects of Tibetan Medicine Renqing Changjue Extracts on Cyclophosphamide-Induced Immunosuppression in a Mouse Model

doi: 10.1177/15593258261454535

Figure Lengend Snippet: The effect of RQCJ on the proportion of CD4 + T and CD8 + T cells. (A) CD4 + /CD8 + T ratio in the different groups; (B-F) The flow cytometric analysis of CD4 + T and CD8 + T cells. Compared with the control group: ## p < 0.01. Compared with the CTX group: * p < 0.05, * * p < 0.01. (n = 12, one-way ANOVA was used for data analysis).

Article Snippet: We transferred 100 μL cell suspensions into flow cytometry tubes and added 10 μL of anti-mouse CD4 + T antibodies (FITC anti-mouse CD4, Clone: RM4-5, Concentration: 0.5 mg/mL) and CD8 + T antibodies (PE anti-mouse CD8a, Clone: 53-6.7, Concentration: 0.2 mg/mL) labeled with different fluorochromes (Dakewe, China).

Techniques: Control