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Miltenyi Biotec mouse naïve cd4 t cell isolation kit
GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl <t>CD4</t> Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.
Mouse Naïve Cd4 T Cell Isolation Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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NSJ Bioreagents cd4 antibody
GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl <t>CD4</t> Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.
Cd4 Antibody, supplied by NSJ Bioreagents, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Servicebio Inc anti cd4
GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl <t>CD4</t> Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.
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
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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.
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
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Miltenyi Biotec naive cd4+ t cell isolation kit, mouse
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.
Naive Cd4+ T Cell Isolation Kit, Mouse, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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naive cd4+ t cell isolation kit, mouse - by Bioz Stars, 2026-07
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Thermo Fisher cd4 fluorescein isothiocyanate fitc
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.
Cd4 Fluorescein Isothiocyanate Fitc, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec naïve macs sort kit
Expected results of this protocol <t>Naïve</t> CD4 + T cells cultured for d5 in supernatant of untreated BMDCs (SN NT) or in supernatant of BPI-treated BMDCs (SN BPI). (A) Representative dot blot of flow cytometric analysis of CD62L and CD44 cell surface presentation. (B) IL-22 secretion measured by Luminex technology, n = 4. Data are shown as means ± SEM. Statistical testing was performed using Student`s ratio paired t test.
Naïve Macs Sort Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl CD4 Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 as a pH-Sensing regulator in T Cells and generation of GPCR68 fl/fl CD4 Cre mice. (A) Schematic diagram of the effect of pH on T cell GPCR68 as well as tumor. (B) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with varying pH. RT-qPCR was performed to determine the expression of GPCR68 at various pH. (C) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 under different pH conditions, and GPCR68 protein expression was assessed by Western blot analysis. (D) To generate conditional knockout (CKO) of GPCR68 in T cells, GPCR68 fl/fl mice were crossed with CD4 Cre mice and generated GPCR68 fl/fl CD4 Cre (CKO). (E) Flow cytometry was used to determine the population of CD4 and CD8 cells in the lymph nodes (LN), thymus (THY), and spleen (SP) at the basal level in CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (F) Flow cytometry was used to determine the population of Foxp3+ Treg cells in the lymph nodes, thymus, and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (G-H) The population of F4/80+, CD11c+ (G), and B220+ (H) cells was determined in the lymph nodes and spleen at the basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (I-J) Flow cytometry was used to evaluate the CD4 + or CD8 + T cells for the determination of intracellular cytokines IFN-γ+ (I), or TNF-α+ (J) from the spleen and lymph nodes at basal level in the CD4 Cre or GPCR68 fl/fl CD4 Cre mice. Student t-test was performed for comparison between the two groups. Data are mean ± SEM (n = 5), ∗ p < 0.05.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Quantitative RT-PCR, Expressing, Western Blot, Knock-Out, Generated, Flow Cytometry, Comparison

GPCR68 fl/fl CD4 Cre mice exhibit improved anti-tumor mmune responses. (A-C) Naïve CD4 + T cells were isolated from CD4 Cre or GPCR68 fl/fl CD4 Cre mice and activated using anti-CD3 and anti-CD28 using the culture media under physiologic neutral pH (7.4) or varying pH 6.0, 6.5, or 7.8. Flow cytometry plots showing the expression of IFN-γ and IL-2 in CD4 + T cells from CD4 Cre and GPCR68 fl/fl CD4 Cre mice. Each panel represents the frequency of IFN-γ + and IL-2 + cells. (B) Bar graph summarizing the percentage of IFN-γ + CD4 + T cells at each pH level for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (C) Bar graph showing the percentage of IL-2 + CD4 + T cells at each pH for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (D) Experimental timeline depicting tumor induction and treatment protocol in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (E) Tumor growth curves in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (F) Tumor weight in CD4 Cre versus GPCR68 fl/fl CD4 Cre mice at the time of harvesting on day 21. (G) Representative images of excised tumors at day 21. (H) Flow cytometric analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (I) Flow cytometric analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns = not significant.

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: GPCR68 fl/fl CD4 Cre mice exhibit improved anti-tumor mmune responses. (A-C) Naïve CD4 + T cells were isolated from CD4 Cre or GPCR68 fl/fl CD4 Cre mice and activated using anti-CD3 and anti-CD28 using the culture media under physiologic neutral pH (7.4) or varying pH 6.0, 6.5, or 7.8. Flow cytometry plots showing the expression of IFN-γ and IL-2 in CD4 + T cells from CD4 Cre and GPCR68 fl/fl CD4 Cre mice. Each panel represents the frequency of IFN-γ + and IL-2 + cells. (B) Bar graph summarizing the percentage of IFN-γ + CD4 + T cells at each pH level for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (C) Bar graph showing the percentage of IL-2 + CD4 + T cells at each pH for CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (D) Experimental timeline depicting tumor induction and treatment protocol in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (E) Tumor growth curves in CD4 Cre and GPCR68 fl/fl CD4 Cre mice. (F) Tumor weight in CD4 Cre versus GPCR68 fl/fl CD4 Cre mice at the time of harvesting on day 21. (G) Representative images of excised tumors at day 21. (H) Flow cytometric analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (I) Flow cytometric analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ns = not significant.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Isolation, Flow Cytometry, Expressing, Comparison

Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: Physicochemical properties of BOLT, and BOLT reduces the growth of tumor cells. (A) Schematic of surface double-layer formation and ion release. (B) Negative zeta potential (−1.365 mV) and high conductivity (1.334 mS/cm), confirming colloidal stability and ion release. (C) Uniform particle size (∼1478 nm) across batches. (D) Interfacial pH buffering in PBS. (E) Naïve CD4 + T cells were isolated and activated using anti-CD3 and anti-CD28 using the culture media with 6.0 pH and treated with various doses of BOLT. RT-qPCR was performed to determine the expression of Gpcr68 at various BOLT doses in activated T cells at acidic pH. (F) Anti-CD3 and anti-CD28 activated CD4 + T cells were treated with different doses of BOLT to determine the protein expression of GPCR68 using Western blot. (G-J) CCK8 assay was performed to analyze the effect of various pH on B16, MC38, 143B, and MG63 cell proliferation. (K-L) Effect of various doses of BOLT on the B16 and K7M2 cell growth to determine the IC-50 of BOLT. Error bars represent mean ± SEM. ∗∗ p < 0.01 and ∗ p < 0.05.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Zeta Potential Analyzer, Isolation, Quantitative RT-PCR, Expressing, Western Blot, CCK-8 Assay

BOLT activates T cell PI3K-AKT-mTOR pathway to enhance T cell anti-tumor effect. (A) Flow cytometry plots compare IFN-γ and IL-2 expression at pH 7.8 and 6.0 along with various doses of BOLT in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (B, C) Bar graphs show IFN-γ and IL-2 expression in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (D) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 antibodies and incubated for 3 days with cell culture media of different pH levels. Western blot was performed to determine the phosphorylation of Akt and S6 under acidic conditions (pH 6.5) and alkaline pH (7.8). (E) Activated CD4 + T cells were treated with 0, 0.25, and 0.5 mg/mL doses of BOLT following CD4 + T cells activation at pH 7.8. Western blot analysis showing the phosphorylation of Akt and S6 were observed. (F) CD4 + T cells were activated and treated with BOLT at acidic pH. Western blot analysis was performed to determine the phosphorylation of Akt and S6. Two-way ANOVA was used for multiple comparisons. Experiments were conducted in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

Journal: Bioactive Materials

Article Title: pH-neutralization strategy to suppress GPCR68 spatiotemporally activates T cells and enhances anti-tumor immunity

doi: 10.1016/j.bioactmat.2026.02.039

Figure Lengend Snippet: BOLT activates T cell PI3K-AKT-mTOR pathway to enhance T cell anti-tumor effect. (A) Flow cytometry plots compare IFN-γ and IL-2 expression at pH 7.8 and 6.0 along with various doses of BOLT in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (B, C) Bar graphs show IFN-γ and IL-2 expression in CD4 + T cells from CD4 Cre or GPCR68 fl/fl CD4 Cre mice. (D) Naïve CD4 + T cells were activated with anti-CD3 and anti-CD28 antibodies and incubated for 3 days with cell culture media of different pH levels. Western blot was performed to determine the phosphorylation of Akt and S6 under acidic conditions (pH 6.5) and alkaline pH (7.8). (E) Activated CD4 + T cells were treated with 0, 0.25, and 0.5 mg/mL doses of BOLT following CD4 + T cells activation at pH 7.8. Western blot analysis showing the phosphorylation of Akt and S6 were observed. (F) CD4 + T cells were activated and treated with BOLT at acidic pH. Western blot analysis was performed to determine the phosphorylation of Akt and S6. Two-way ANOVA was used for multiple comparisons. Experiments were conducted in triplicate. Data are mean ± SEM, ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, and ∗∗∗∗ p < 0.0001.

Article Snippet: Naïve T cells were purified from lymph nodes as well as spleens of C57/BL6, CD4 Cre , GPCR68 fl/fl CD4 Cre (CKO) mice by using the mouse naïve CD4 + T Cell Isolation Kit (#130-104-453; Miltenyi Biotec) or naïve CD8 + T Cell Isolation Kit (#130-096-543; Miltenyi Biotec) for negative selection.

Techniques: Flow Cytometry, Expressing, Incubation, Cell Culture, Western Blot, Phospho-proteomics, Activation Assay

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

Expected results of this protocol Naïve CD4 + T cells cultured for d5 in supernatant of untreated BMDCs (SN NT) or in supernatant of BPI-treated BMDCs (SN BPI). (A) Representative dot blot of flow cytometric analysis of CD62L and CD44 cell surface presentation. (B) IL-22 secretion measured by Luminex technology, n = 4. Data are shown as means ± SEM. Statistical testing was performed using Student`s ratio paired t test.

Journal: STAR Protocols

Article Title: Protocol for potent activation of T cells using BPI-stimulated murine bone marrow-derived cells

doi: 10.1016/j.xpro.2026.104519

Figure Lengend Snippet: Expected results of this protocol Naïve CD4 + T cells cultured for d5 in supernatant of untreated BMDCs (SN NT) or in supernatant of BPI-treated BMDCs (SN BPI). (A) Representative dot blot of flow cytometric analysis of CD62L and CD44 cell surface presentation. (B) IL-22 secretion measured by Luminex technology, n = 4. Data are shown as means ± SEM. Statistical testing was performed using Student`s ratio paired t test.

Article Snippet: Note: If no FACS device is available, the sorting of naïve T cells can be performed using a naïve MACS Sort Kit from Miltenyi Biotec (130-104-453 ).

Techniques: Cell Culture, Dot Blot, Luminex