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96
ATCC defective hla e restricted cd8 t regulatory cells
Defective Hla E Restricted Cd8 T Regulatory Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec naïve cd8 t cell isolation kit
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 <t>CD8</t> 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.
Naïve Cd8 T Cell Isolation Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec cd8 t cells
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 <t>CD8</t> 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.
Cd8 T Cells, 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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Selleck Chemicals cd8 t cells
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 <t>CD8</t> 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.
Cd8 T Cells, supplied by Selleck Chemicals, 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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Miltenyi Biotec cd8 t cell isolation kit
PCSK9 exposure of human in vitro -activated CD8 + T cells reduces LDLR protein surface expression (A) Schematic representation of the experimental design for in vitro CD8 + T cell activation in the presence of recombinant PCSK9 (10 μg/mL). (B) Representative cell surface geometric mean fluorescence intensity (gMFI) levels of LDLR on CD8 + T cells measured by flow cytometry after 3 days of in vitro activation as described in (A). To visualize cell surface LDLR, CD8 + T cells were stained with anti-LDLR antibody (clone C7) for 30 min at 4 °C. gMFI levels were normalized to the activated (Act.) control. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (C) Normalized LDLR and HMGCR mRNA levels measured by qPCR in CD8 + T cells measured after 24 h of activation with anti-CD3/28 and cytokines with or without PCSK9 (10 μg/mL) supplementation. Two-tailed Mann-Whitney test where ∗∗ p < 0.01, n = 6 healthy donors. Graphs show independent donors normalized to PCSK9-untreated cells. Each dot represents data from a separate donor, and lines depict medians.
Cd8 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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Miltenyi Biotec mouse cd8 t cell isolation kit
A- Mice were adoptively transferred with OTIxGFP T-cells, infected with LM-OVA and treated with BFA 6hrs prior to spleen harvest. Representative images of spleen section stained for CD169 (blue), IFNy (red), CD11b (white), OTI (green) 24hrs after infection. (B-C) Mice were adoptively transferred with OTIxhCD2-DsRed T-cells, infected with LM-N4 or LM-G4, and treated with either anti-CXCR3 or isotype control 6hr prior to infection. After 24hrs, spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group). B- Area coverage of innate-infiltrated regions as percentages of total white pulp areas on stained spleen sections. C- Percentage of OTI T-cells located within non-infiltrated regions. (D-F) Mice were infected with LM-OVA and treated with anti-CXCR3 or isotype control either once 6hr before infection (E) or on day 3, 5, and 7 post-infections (F-G) . Spleens were harvested 8 days post-infection and analysed flow cytometry (n=4-5 per group). D- Gating example for the analysis of OVA-specific <t>CD8</t> T-cells. E- Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), and memory precursor effector cells (MPEC, CD44+ KLRG1- CD127+) among N4-tetramer+ CD8 T-cells. F- Frequencies of N4-tetramer+ CD8 T-cells. G- Relative avidity of N4-tetramer+ CD8 T-cells normalised to isotype control. Two-way ANOVA with Turkey’s multiple comparison test (B-c, E), Welch and Brown-Forsythe one-way ANOVA (F-G).
Mouse Cd8 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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Bio X Cell cd8 t cell depletion experiment
A- Mice were adoptively transferred with OTIxGFP T-cells, infected with LM-OVA and treated with BFA 6hrs prior to spleen harvest. Representative images of spleen section stained for CD169 (blue), IFNy (red), CD11b (white), OTI (green) 24hrs after infection. (B-C) Mice were adoptively transferred with OTIxhCD2-DsRed T-cells, infected with LM-N4 or LM-G4, and treated with either anti-CXCR3 or isotype control 6hr prior to infection. After 24hrs, spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group). B- Area coverage of innate-infiltrated regions as percentages of total white pulp areas on stained spleen sections. C- Percentage of OTI T-cells located within non-infiltrated regions. (D-F) Mice were infected with LM-OVA and treated with anti-CXCR3 or isotype control either once 6hr before infection (E) or on day 3, 5, and 7 post-infections (F-G) . Spleens were harvested 8 days post-infection and analysed flow cytometry (n=4-5 per group). D- Gating example for the analysis of OVA-specific <t>CD8</t> T-cells. E- Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), and memory precursor effector cells (MPEC, CD44+ KLRG1- CD127+) among N4-tetramer+ CD8 T-cells. F- Frequencies of N4-tetramer+ CD8 T-cells. G- Relative avidity of N4-tetramer+ CD8 T-cells normalised to isotype control. Two-way ANOVA with Turkey’s multiple comparison test (B-c, E), Welch and Brown-Forsythe one-way ANOVA (F-G).
Cd8 T Cell Depletion Experiment, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, 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

Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

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: Anti-tumor effects of borate bioactive glass (BOLT) in B16 tumor. (A) Schematic illustration depicting the induction of B16 melanoma tumors, followed by treatment with BOLT at various time points, and tumor harvesting for subsequent analysis. (B) Tumor growth curves showing tumor volume in Control and BOLT-treated B16 melanoma tumors in mice. (C) Tumor weight at the time of harvesting in the BOLT-treated group compared to the Control. (D) Representative images of excised tumors from Control and BOLT-treated mice. (E) In vivo imaging of tumor-bearing mice in both the Control and BOLT-treated groups. (F) Flow cytometry analysis showing IFN-γ production in CD4 + and CD8 + T cells following BOLT treatment compared to Control. (G) Flow cytometry analysis demonstrated TNF-α production in CD4 + and CD8 + T cells in the BOLT-treated group, with a significant increase observed in CD8 + T cells. Student t-test was performed for comparison between the two groups. Two-way ANOVA was used for multiple comparisons. Data represent the mean ± SEM (n = 5). ∗ p < 0.05, ∗∗ p < 0.01.

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: Control, In Vivo Imaging, Flow Cytometry, Comparison

Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ 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: Combinational treatment of BOLT and anti-CTLA-4 blockade enhances anti-tumor immune response in B16 melanoma. (A) C57BL/6 mice were subcutaneously injected with 1 × 10 5 B16 melanoma cells on day 0 to induce tumors. On day 7, mice were randomly divided into groups and treated with either BOLT alone (intratumoral injection administered on alternate days starting from day 7), anti-CTLA-4 (intraperitoneal injection administered on days 9, 11, 13, and 15), or a combination of both treatments. PBS was used as a vehicle Control, while IgG was used as anti-CTLA-4 Control. Tumor growth was monitored throughout the treatment period, and tumors were harvested for analysis on day 21. (B-C) Tumor growth curves and area under the curve (AUC) analysis for WT mice treated with BOLT, with or without anti-CTLA-4 antibody, following subcutaneous injection of B16 melanoma cells. Tumor growth was monitored, and analysis was conducted on day 21. (D) Representative images of excised tumors at day 21, showed reduced tumor size in combination-treated mice. (E, F) Flow cytometry analysis of IFN-γ production by tumor-infiltrating CD4 + and CD8 + T cells. (G, H) Flow cytometry analysis of TNF-α production by tumor-infiltrating CD4 + and CD8 + T cells. Two-way ANOVA was used for multiple comparisons. Data are mean ± SEM (n = 5), ∗ 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: Injection, Control, Flow Cytometry

PCSK9 exposure of human in vitro -activated CD8 + T cells reduces LDLR protein surface expression (A) Schematic representation of the experimental design for in vitro CD8 + T cell activation in the presence of recombinant PCSK9 (10 μg/mL). (B) Representative cell surface geometric mean fluorescence intensity (gMFI) levels of LDLR on CD8 + T cells measured by flow cytometry after 3 days of in vitro activation as described in (A). To visualize cell surface LDLR, CD8 + T cells were stained with anti-LDLR antibody (clone C7) for 30 min at 4 °C. gMFI levels were normalized to the activated (Act.) control. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (C) Normalized LDLR and HMGCR mRNA levels measured by qPCR in CD8 + T cells measured after 24 h of activation with anti-CD3/28 and cytokines with or without PCSK9 (10 μg/mL) supplementation. Two-tailed Mann-Whitney test where ∗∗ p < 0.01, n = 6 healthy donors. Graphs show independent donors normalized to PCSK9-untreated cells. Each dot represents data from a separate donor, and lines depict medians.

Journal: iScience

Article Title: PCSK9-mediated degradation of cell-surface LDL receptors impairs human CD8+ T cell effector functions

doi: 10.1016/j.isci.2026.114859

Figure Lengend Snippet: PCSK9 exposure of human in vitro -activated CD8 + T cells reduces LDLR protein surface expression (A) Schematic representation of the experimental design for in vitro CD8 + T cell activation in the presence of recombinant PCSK9 (10 μg/mL). (B) Representative cell surface geometric mean fluorescence intensity (gMFI) levels of LDLR on CD8 + T cells measured by flow cytometry after 3 days of in vitro activation as described in (A). To visualize cell surface LDLR, CD8 + T cells were stained with anti-LDLR antibody (clone C7) for 30 min at 4 °C. gMFI levels were normalized to the activated (Act.) control. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (C) Normalized LDLR and HMGCR mRNA levels measured by qPCR in CD8 + T cells measured after 24 h of activation with anti-CD3/28 and cytokines with or without PCSK9 (10 μg/mL) supplementation. Two-tailed Mann-Whitney test where ∗∗ p < 0.01, n = 6 healthy donors. Graphs show independent donors normalized to PCSK9-untreated cells. Each dot represents data from a separate donor, and lines depict medians.

Article Snippet: CD8 T cell isolation kit , Miltenyi , 130-096-495.

Techniques: In Vitro, Expressing, Activation Assay, Recombinant, Fluorescence, Flow Cytometry, Staining, Control, Two Tailed Test, MANN-WHITNEY

PCSK9 exposure of activated CD8 + T cells induces a decrease in ICAM-1 expression and granzyme B production, in anti-CD3/anti-CD28 activation cultures (A) Normalized ICAM-1 cell surface gMFI levels on CD8 + T cells measured at day 3 of activation with flow cytometry. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (B) Intracellular granzyme B levels measured with flow cytometry. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (C) Schematic representation of the experimental design for in vitro CD8 + T cell proliferation in the presence of recombinant PCSK9 (10 μg/mL). (D) CTV proliferation assay of CD8 + T cells; CTV dilution measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, ∗∗∗ p < 0.001 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (E) LDLR cell surface gMFI levels on CD8 + T cells measured with flow cytometry. Two-tailed Mann-Whitney test where ∗ p < 0.05, n = 4 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (F) ICAM-1 cell surface gMFI levels on CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, n = 4 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (G) Percent of CD8 + T cells positive for intracellular granzyme B. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, n = 4 healthy donors. Graphs show independent donors normalized to PCSK9-untreated cells. Each dot represents data from a separate donor, and lines depict medians.

Journal: iScience

Article Title: PCSK9-mediated degradation of cell-surface LDL receptors impairs human CD8+ T cell effector functions

doi: 10.1016/j.isci.2026.114859

Figure Lengend Snippet: PCSK9 exposure of activated CD8 + T cells induces a decrease in ICAM-1 expression and granzyme B production, in anti-CD3/anti-CD28 activation cultures (A) Normalized ICAM-1 cell surface gMFI levels on CD8 + T cells measured at day 3 of activation with flow cytometry. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (B) Intracellular granzyme B levels measured with flow cytometry. Two-tailed Mann-Whitney test where ∗∗ p < 0.01 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (C) Schematic representation of the experimental design for in vitro CD8 + T cell proliferation in the presence of recombinant PCSK9 (10 μg/mL). (D) CTV proliferation assay of CD8 + T cells; CTV dilution measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, ∗∗∗ p < 0.001 compared to PCSK9 untreated, activated cells, n = 6 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (E) LDLR cell surface gMFI levels on CD8 + T cells measured with flow cytometry. Two-tailed Mann-Whitney test where ∗ p < 0.05, n = 4 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (F) ICAM-1 cell surface gMFI levels on CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, n = 4 healthy donors. Each dot represents data from a separate donor, and lines depict medians. (G) Percent of CD8 + T cells positive for intracellular granzyme B. Kruskal-Wallis test with Dunn’s multiple comparisons test where ∗ p < 0.05, n = 4 healthy donors. Graphs show independent donors normalized to PCSK9-untreated cells. Each dot represents data from a separate donor, and lines depict medians.

Article Snippet: CD8 T cell isolation kit , Miltenyi , 130-096-495.

Techniques: Expressing, Activation Assay, Flow Cytometry, Two Tailed Test, MANN-WHITNEY, In Vitro, Recombinant, Proliferation Assay

PCSK9 exposure of activated CD8 + T cells induces a decrease in ICAM-1 expression and granzyme B production in an antigen-driven activation model (A) Schematic representation of the experimental design, where CD8 + T cells specific to NLVPMVATV/HLA-A2 complexes were co-cultured with T2 cells loaded with NLVPMVATV peptide or the irrelevant MART-1-derived ELAGIGILTV peptide. NLVPMVATV peptide is derived from the CMV protein pp65. In the figure, “(−) ctrl” represents the co-culture in presence of the irrelevant MART-1-derived ELAGIGILTV peptide, while in all other conditions, CMV-derived NLVPMVATV peptide was added. Where indicated, recombinant PCSK9 (10 μg/mL) and alirocumab (2 μM) were supplemented to the co-culture. (B) Normalized LDLR cell surface gMFI levels on the CMV-specific CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 4 independent replicates. Each dot represents an independent replicate, and lines depict medians. (C) Normalized ICAM-1 cell surface expression on the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗ p < 0.01, n = 6 independent replicates. Each dot represents an independent replicate, and lines depict medians. (D) Normalized intracellular granzyme B levels in the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗∗ p < 0.001, n = 6 independent replicates. Each dot represents an independent replicate and lines depict medians. (E) Normalized concentrations of secreted granzyme B by CMV-specific CD8 + T cells. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗ p < 0.01, n = 5 independent replicates. Each dot represents an independent replicate, and lines depict medians. (F) Normalized LDLR cell surface expression on the CMV-specific CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test, n = 3 independent replicates, ∗ p < 0.05. Each dot represents an independent replicate, and lines depict medians. (G) Normalized intracellular granzyme B levels in the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 4 independent replicates. Each dot represents an independent replicate, and lines depict medians. (H) Normalized concentrations of secreted granzyme B by CMV-specific CD8 + T cells. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 5 independent replicates. Each dot represents an independent replicate, and lines depict medians.

Journal: iScience

Article Title: PCSK9-mediated degradation of cell-surface LDL receptors impairs human CD8+ T cell effector functions

doi: 10.1016/j.isci.2026.114859

Figure Lengend Snippet: PCSK9 exposure of activated CD8 + T cells induces a decrease in ICAM-1 expression and granzyme B production in an antigen-driven activation model (A) Schematic representation of the experimental design, where CD8 + T cells specific to NLVPMVATV/HLA-A2 complexes were co-cultured with T2 cells loaded with NLVPMVATV peptide or the irrelevant MART-1-derived ELAGIGILTV peptide. NLVPMVATV peptide is derived from the CMV protein pp65. In the figure, “(−) ctrl” represents the co-culture in presence of the irrelevant MART-1-derived ELAGIGILTV peptide, while in all other conditions, CMV-derived NLVPMVATV peptide was added. Where indicated, recombinant PCSK9 (10 μg/mL) and alirocumab (2 μM) were supplemented to the co-culture. (B) Normalized LDLR cell surface gMFI levels on the CMV-specific CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 4 independent replicates. Each dot represents an independent replicate, and lines depict medians. (C) Normalized ICAM-1 cell surface expression on the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗ p < 0.01, n = 6 independent replicates. Each dot represents an independent replicate, and lines depict medians. (D) Normalized intracellular granzyme B levels in the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗∗ p < 0.001, n = 6 independent replicates. Each dot represents an independent replicate and lines depict medians. (E) Normalized concentrations of secreted granzyme B by CMV-specific CD8 + T cells. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗∗ p < 0.01, n = 5 independent replicates. Each dot represents an independent replicate, and lines depict medians. (F) Normalized LDLR cell surface expression on the CMV-specific CD8 + T cells measured with flow cytometry. Kruskal-Wallis test with Dunn’s multiple comparisons test, n = 3 independent replicates, ∗ p < 0.05. Each dot represents an independent replicate, and lines depict medians. (G) Normalized intracellular granzyme B levels in the CMV-specific CD8 + T cells measured with flow cytometry. 3 h before measuring, cells were treated with GolgiStop (1,500x, BD Biosciences). Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 4 independent replicates. Each dot represents an independent replicate, and lines depict medians. (H) Normalized concentrations of secreted granzyme B by CMV-specific CD8 + T cells. Kruskal-Wallis test with Dunn’s multiple comparisons test, ∗ p < 0.05, n = 5 independent replicates. Each dot represents an independent replicate, and lines depict medians.

Article Snippet: CD8 T cell isolation kit , Miltenyi , 130-096-495.

Techniques: Expressing, Activation Assay, Cell Culture, Derivative Assay, Co-Culture Assay, Recombinant, Flow Cytometry

CD8 + T cells from individuals with hoFH validate a role of LDLR signaling for CD8 + T cell function (A) A schematic overview of the LDLR protein domains and LDLR-adaptor protein 1 (LDLRAP1), highlighting the hoFH mutations included in the experiments with blue reversed triangles. The empty reverse triangle shapes represent hoFH patients with mutations in the LDLR, while the filled reverse triangle shape represents hoFH patients with mutations in the LDLRAP1. (B) Cell surface LDLR gMFI levels on CD8 + T cells from hoFH patients ( n = 5) and healthy controls (HCs) ( n = 5). Cells were activated for the indicated duration of time with anti-CD3/CD28 Dynabeads and a cytokine mix (interleukin [IL]-2, IL-7, and IL-15). (C) Graphical illustration of the LDL-pHrodo uptake experiment. (D) Uptake of LDL-pHrodo measured by flow cytometry, where CD8 + T cells were activated for 24 h, followed by a 2-h culturing in lipoprotein-deprived medium and 2-h incubation with the LDL-pHrodo complex (20 μg/mL). Where indicated, anti-LDLR (5 μg/mL) was added when cells were cultured in lipoprotein-deprived medium. One-way ANOVA with Šídák’s multiple comparisons test, where ∗∗∗∗ p < 0.0001 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (E–H) Cells were activated for 72 h with anti-CD3/CD28 Dynabeads and cytokine mix (IL-2, IL-7, and IL-15). (E) Intracellular Ki67 levels measured with flow cytometry. Two-tailed Mann-Whitney test, where ∗ p < 0.05 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (F) Cell surface ICAM-1 levels measured with flow cytometry. Two-tailed Mann-Whitney test, where ∗ p < 0.05 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (G) Intracellular granzyme B levels measured with flow cytometry. Two-tailed Mann-Whitney test ( n = 5 HCs and n = 5 hoFH patients). (H) Secreted granzyme B levels measured with ELISA. Two-tailed Mann-Whitney test ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians.

Journal: iScience

Article Title: PCSK9-mediated degradation of cell-surface LDL receptors impairs human CD8+ T cell effector functions

doi: 10.1016/j.isci.2026.114859

Figure Lengend Snippet: CD8 + T cells from individuals with hoFH validate a role of LDLR signaling for CD8 + T cell function (A) A schematic overview of the LDLR protein domains and LDLR-adaptor protein 1 (LDLRAP1), highlighting the hoFH mutations included in the experiments with blue reversed triangles. The empty reverse triangle shapes represent hoFH patients with mutations in the LDLR, while the filled reverse triangle shape represents hoFH patients with mutations in the LDLRAP1. (B) Cell surface LDLR gMFI levels on CD8 + T cells from hoFH patients ( n = 5) and healthy controls (HCs) ( n = 5). Cells were activated for the indicated duration of time with anti-CD3/CD28 Dynabeads and a cytokine mix (interleukin [IL]-2, IL-7, and IL-15). (C) Graphical illustration of the LDL-pHrodo uptake experiment. (D) Uptake of LDL-pHrodo measured by flow cytometry, where CD8 + T cells were activated for 24 h, followed by a 2-h culturing in lipoprotein-deprived medium and 2-h incubation with the LDL-pHrodo complex (20 μg/mL). Where indicated, anti-LDLR (5 μg/mL) was added when cells were cultured in lipoprotein-deprived medium. One-way ANOVA with Šídák’s multiple comparisons test, where ∗∗∗∗ p < 0.0001 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (E–H) Cells were activated for 72 h with anti-CD3/CD28 Dynabeads and cytokine mix (IL-2, IL-7, and IL-15). (E) Intracellular Ki67 levels measured with flow cytometry. Two-tailed Mann-Whitney test, where ∗ p < 0.05 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (F) Cell surface ICAM-1 levels measured with flow cytometry. Two-tailed Mann-Whitney test, where ∗ p < 0.05 ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians. (G) Intracellular granzyme B levels measured with flow cytometry. Two-tailed Mann-Whitney test ( n = 5 HCs and n = 5 hoFH patients). (H) Secreted granzyme B levels measured with ELISA. Two-tailed Mann-Whitney test ( n = 5 HCs and n = 5 hoFH patients). Each dot represents data from a separate donor, and lines depict medians.

Article Snippet: CD8 T cell isolation kit , Miltenyi , 130-096-495.

Techniques: Cell Function Assay, Flow Cytometry, Incubation, Cell Culture, Two Tailed Test, MANN-WHITNEY, Enzyme-linked Immunosorbent Assay

A- Mice were adoptively transferred with OTIxGFP T-cells, infected with LM-OVA and treated with BFA 6hrs prior to spleen harvest. Representative images of spleen section stained for CD169 (blue), IFNy (red), CD11b (white), OTI (green) 24hrs after infection. (B-C) Mice were adoptively transferred with OTIxhCD2-DsRed T-cells, infected with LM-N4 or LM-G4, and treated with either anti-CXCR3 or isotype control 6hr prior to infection. After 24hrs, spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group). B- Area coverage of innate-infiltrated regions as percentages of total white pulp areas on stained spleen sections. C- Percentage of OTI T-cells located within non-infiltrated regions. (D-F) Mice were infected with LM-OVA and treated with anti-CXCR3 or isotype control either once 6hr before infection (E) or on day 3, 5, and 7 post-infections (F-G) . Spleens were harvested 8 days post-infection and analysed flow cytometry (n=4-5 per group). D- Gating example for the analysis of OVA-specific CD8 T-cells. E- Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), and memory precursor effector cells (MPEC, CD44+ KLRG1- CD127+) among N4-tetramer+ CD8 T-cells. F- Frequencies of N4-tetramer+ CD8 T-cells. G- Relative avidity of N4-tetramer+ CD8 T-cells normalised to isotype control. Two-way ANOVA with Turkey’s multiple comparison test (B-c, E), Welch and Brown-Forsythe one-way ANOVA (F-G).

Journal: bioRxiv

Article Title: Transient immune landscape remodelling shapes CD8 T-cell priming during infection

doi: 10.64898/2026.03.18.712682

Figure Lengend Snippet: A- Mice were adoptively transferred with OTIxGFP T-cells, infected with LM-OVA and treated with BFA 6hrs prior to spleen harvest. Representative images of spleen section stained for CD169 (blue), IFNy (red), CD11b (white), OTI (green) 24hrs after infection. (B-C) Mice were adoptively transferred with OTIxhCD2-DsRed T-cells, infected with LM-N4 or LM-G4, and treated with either anti-CXCR3 or isotype control 6hr prior to infection. After 24hrs, spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group). B- Area coverage of innate-infiltrated regions as percentages of total white pulp areas on stained spleen sections. C- Percentage of OTI T-cells located within non-infiltrated regions. (D-F) Mice were infected with LM-OVA and treated with anti-CXCR3 or isotype control either once 6hr before infection (E) or on day 3, 5, and 7 post-infections (F-G) . Spleens were harvested 8 days post-infection and analysed flow cytometry (n=4-5 per group). D- Gating example for the analysis of OVA-specific CD8 T-cells. E- Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), and memory precursor effector cells (MPEC, CD44+ KLRG1- CD127+) among N4-tetramer+ CD8 T-cells. F- Frequencies of N4-tetramer+ CD8 T-cells. G- Relative avidity of N4-tetramer+ CD8 T-cells normalised to isotype control. Two-way ANOVA with Turkey’s multiple comparison test (B-c, E), Welch and Brown-Forsythe one-way ANOVA (F-G).

Article Snippet: CD8 T-cell isolation was conducted using a mouse CD8 T-cell isolation kit (Miltenyi Biotec, 130-104-075), in accordance with the kit protocol.

Techniques: Infection, Staining, Control, Flow Cytometry, Comparison

(A-B) Spleen sections from mice infected with LM-OVA for 24hrs were stained for CD169 (blue), CXCL9 (green), NKp46 (magenta). A- Representative images. B- Average CXCL9 signal intensities within innate-infiltrated (NKp46+) and non-infiltrated (NKp46-) regions (n=6). C- Mice were adoptively transferred with OTI-hCD2-DsRed cells, infected with LM-N4 or LM-G4 and treated with either anti-CXCR3 or isotype control antibodies 6hr prior to infection. Spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group) after 24hrs. Percentages of OTI T-cells located within innate-infiltrated regions. D- Isolated OTI T-cells were cocultured with IFNy-primed WT splenocytes in the presence of N4 or G4 peptides. CXCR3 expression was examined 24hr later by flow cytometry. Data is expressed as CXCR3 fold-induction on CD69+ CD8 OTI T-cells relative to unstimulated condition (n=4). ( E-G) Mice were treated with either isotype control or anti-CXCR3 antibodies and infected with LM-OVA 6hr later. Spleens were harvested 8 days post-infection and analysed by flow cytometry (n=36-40 per group). Data shows frequencies (E) and absolute numbers (F) of N4-tetramer+ CD8 T-cells. G- Graph shows relative avidity, calculated by dividing the N4-tetramer gMFI to CD3 gMFI, of N4-tetramer+ CD8+ T cells, normalised to isotype control. Ratio paired t-test (B) , Two-way ANOVA with Turkey’s multiple comparison test (C) , Welch’s t-tests (D-G) . Data show mean ± SEM.

Journal: bioRxiv

Article Title: Transient immune landscape remodelling shapes CD8 T-cell priming during infection

doi: 10.64898/2026.03.18.712682

Figure Lengend Snippet: (A-B) Spleen sections from mice infected with LM-OVA for 24hrs were stained for CD169 (blue), CXCL9 (green), NKp46 (magenta). A- Representative images. B- Average CXCL9 signal intensities within innate-infiltrated (NKp46+) and non-infiltrated (NKp46-) regions (n=6). C- Mice were adoptively transferred with OTI-hCD2-DsRed cells, infected with LM-N4 or LM-G4 and treated with either anti-CXCR3 or isotype control antibodies 6hr prior to infection. Spleen sections were stained for CD169 (blue) and NKp46 (magenta) (n=3 per group) after 24hrs. Percentages of OTI T-cells located within innate-infiltrated regions. D- Isolated OTI T-cells were cocultured with IFNy-primed WT splenocytes in the presence of N4 or G4 peptides. CXCR3 expression was examined 24hr later by flow cytometry. Data is expressed as CXCR3 fold-induction on CD69+ CD8 OTI T-cells relative to unstimulated condition (n=4). ( E-G) Mice were treated with either isotype control or anti-CXCR3 antibodies and infected with LM-OVA 6hr later. Spleens were harvested 8 days post-infection and analysed by flow cytometry (n=36-40 per group). Data shows frequencies (E) and absolute numbers (F) of N4-tetramer+ CD8 T-cells. G- Graph shows relative avidity, calculated by dividing the N4-tetramer gMFI to CD3 gMFI, of N4-tetramer+ CD8+ T cells, normalised to isotype control. Ratio paired t-test (B) , Two-way ANOVA with Turkey’s multiple comparison test (C) , Welch’s t-tests (D-G) . Data show mean ± SEM.

Article Snippet: CD8 T-cell isolation was conducted using a mouse CD8 T-cell isolation kit (Miltenyi Biotec, 130-104-075), in accordance with the kit protocol.

Techniques: Infection, Staining, Control, Isolation, Expressing, Flow Cytometry, Comparison

(A-B) Graphs show XCR1 (A) and SIRPa (B) signal density within innate-infiltrated and non-infiltrated regions on stained spleen sections harvested 24hrs after LM-OVA infection (n=5). C- Mice were adoptively transferred with OTIxGFP T-cells and infected with LM-OVA. After 24hrs, spleen sections were stained for CD169 (red), 33D1 (magenta), XCR1 (cyan), OTI (green). Representative image. (D-F) Mice were infected with LM-OVA for 24hrs and splenocytes were analysed by flow cytometry. Graphs show CD80 MFI ( D , n=5-7), CD86 MFI ( E , n=5-7), and frequency of CD70+ cDC1 and cDC2 ( F , n=4-5). (G-H) Spleen sections from mice infected with LM-OVA for 24hrs were stained for CD169 (blue), CD70 (red), CD11b (white). G- Representative image. H- Graph shows CD70 signal intensity within innate-infiltrated and non-infiltrated regions in WPs (n=5). I-K Mice were infected with LM-OVA and treated with anti-CXCR3 or anti-CD70 antibodies as indicated 6hrs before infection. Graphs show frequencies (I) , absolute numbers (J) and avidity (K) of N4-tetramer+ CD8 T-cells 8 days post-infection (n=12-17 per group). Ratio paired t-tests (A-B, D-F, H) , Welch and Brown-Forsythe one-way ANOVA with Dunnett’s multiple comparisons test (I-K) .

Journal: bioRxiv

Article Title: Transient immune landscape remodelling shapes CD8 T-cell priming during infection

doi: 10.64898/2026.03.18.712682

Figure Lengend Snippet: (A-B) Graphs show XCR1 (A) and SIRPa (B) signal density within innate-infiltrated and non-infiltrated regions on stained spleen sections harvested 24hrs after LM-OVA infection (n=5). C- Mice were adoptively transferred with OTIxGFP T-cells and infected with LM-OVA. After 24hrs, spleen sections were stained for CD169 (red), 33D1 (magenta), XCR1 (cyan), OTI (green). Representative image. (D-F) Mice were infected with LM-OVA for 24hrs and splenocytes were analysed by flow cytometry. Graphs show CD80 MFI ( D , n=5-7), CD86 MFI ( E , n=5-7), and frequency of CD70+ cDC1 and cDC2 ( F , n=4-5). (G-H) Spleen sections from mice infected with LM-OVA for 24hrs were stained for CD169 (blue), CD70 (red), CD11b (white). G- Representative image. H- Graph shows CD70 signal intensity within innate-infiltrated and non-infiltrated regions in WPs (n=5). I-K Mice were infected with LM-OVA and treated with anti-CXCR3 or anti-CD70 antibodies as indicated 6hrs before infection. Graphs show frequencies (I) , absolute numbers (J) and avidity (K) of N4-tetramer+ CD8 T-cells 8 days post-infection (n=12-17 per group). Ratio paired t-tests (A-B, D-F, H) , Welch and Brown-Forsythe one-way ANOVA with Dunnett’s multiple comparisons test (I-K) .

Article Snippet: CD8 T-cell isolation was conducted using a mouse CD8 T-cell isolation kit (Miltenyi Biotec, 130-104-075), in accordance with the kit protocol.

Techniques: Staining, Infection, Flow Cytometry

A-h CD2-DsRedxPA-GFP mice were infected with LM-OVA. After 24hrs, spleens were explanted, sectioned and stained for Cd11b and Ly6C. Innate-infiltrated and non-infiltrated regions were highlighted by 2-photon light to activate PA-GFP. PA-GFP+ cells were then sorted and subjected to bulk-RNAseq. Volcanoplot of differentially expressed genes significantly up-regulated (red) and down-regulated (blue) in innate-infiltrated niches compared to non-infiltrated niches. (B-E) Analysis of scRNAseq of non-memory CD8 T-cells from spleen of control (ctrl) or LM-OVA-infected mice for 24hrs. Cells were clustered and their putative location was assigned according to their expression of Naive, innate-infiltrated or non-infiltrated signature from (n=2931 for ctrl, 4522 for LM-OVA). B- UMAP visualization of cells according to clusters (top) or gene signature (bottom; clusters highlighted with black contour). C- The bar plot shows proportion of cells from each niche within ctrl or LM-OVA samples. D- The bar plot shows proportion of cells from each niche within each cluster, focussing on the LM-OVA condition. E- Dot plot heatmap showing GO biological pathways significantly enriched across each cluster.

Journal: bioRxiv

Article Title: Transient immune landscape remodelling shapes CD8 T-cell priming during infection

doi: 10.64898/2026.03.18.712682

Figure Lengend Snippet: A-h CD2-DsRedxPA-GFP mice were infected with LM-OVA. After 24hrs, spleens were explanted, sectioned and stained for Cd11b and Ly6C. Innate-infiltrated and non-infiltrated regions were highlighted by 2-photon light to activate PA-GFP. PA-GFP+ cells were then sorted and subjected to bulk-RNAseq. Volcanoplot of differentially expressed genes significantly up-regulated (red) and down-regulated (blue) in innate-infiltrated niches compared to non-infiltrated niches. (B-E) Analysis of scRNAseq of non-memory CD8 T-cells from spleen of control (ctrl) or LM-OVA-infected mice for 24hrs. Cells were clustered and their putative location was assigned according to their expression of Naive, innate-infiltrated or non-infiltrated signature from (n=2931 for ctrl, 4522 for LM-OVA). B- UMAP visualization of cells according to clusters (top) or gene signature (bottom; clusters highlighted with black contour). C- The bar plot shows proportion of cells from each niche within ctrl or LM-OVA samples. D- The bar plot shows proportion of cells from each niche within each cluster, focussing on the LM-OVA condition. E- Dot plot heatmap showing GO biological pathways significantly enriched across each cluster.

Article Snippet: CD8 T-cell isolation was conducted using a mouse CD8 T-cell isolation kit (Miltenyi Biotec, 130-104-075), in accordance with the kit protocol.

Techniques: Infection, Staining, RNA sequencing, Control, Expressing

(A-B) Spleen sections from LM-OVA infected mice were stained for CD169 (blue), NKp46 (red) and FoxP3 (yellow) (n=5-6 per timepoint) at the indicated times and analysed by microscopy. A- Relative abundance of NK-infiltrated regions exhibiting Treg segregation, shown as percentages of total white pulp areas. B- Quantitation of NK cell densities within different WP regions. C- Representative histogram showing CXCR3 expression on splenic Tregs from naive mouse (blue) or mouse infected for 24hrs with LM-OVA (red). D- Splenocytes were isolated and stimulated in vitro as indicated for 24hrs. Histograms show the expression of CXCR3 in Tregs. E- FoxP3-DTR mice were treated with DT as indicated and infected with LM-OVA. Graph shows the frequency of Tregs in peripheral blood over time. (F-I) WT and FoxP3-DTR mice were adoptively transferred with OTIxhCD2-DsRedxNur77-GFP T-cells, treated with DT and infected with LM-N4 or LM-G4. Graphs show the frequency of CD25+ (F-G) or CD69+ (H-I) OTI T-cells with LM-N4 ( F, H , n=3-5 per timepoint) and LM-G4 ( G, I , n=10-13 per timepoint) at the indicated times. J- WT and FoxP3-DTR mice were adoptively transferred with OTIxhCD2-DsRed cells, treated with DT and infected with LM-N4 for 8 days. Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), memory precursor cells (MPEC, CD44+ KLRG1- CD127+) and double positive cells (DP, CD44+ KLRG1+ CD127+) OTI T-cells. K- WT and Foxp3-DTR mice were treated with DT and infected with LM-OVA. Graphs show the absolute number of total splenic CD8 T-cells 8 days after infection (n=10-11 per group). L- WT and Foxp3-DTR mice were transferred with OTI T-cells, treated with DT and immunised with the OVA peptide N4. Graph shows absolute numbers of OTI T-cells 5 days after infection (n=11 per group, 2 independent experiments). Two-way ANOVA with Turkey’s multiple correction test (B, F-J) , Welch’s t-tests (K-L) .

Journal: bioRxiv

Article Title: Transient immune landscape remodelling shapes CD8 T-cell priming during infection

doi: 10.64898/2026.03.18.712682

Figure Lengend Snippet: (A-B) Spleen sections from LM-OVA infected mice were stained for CD169 (blue), NKp46 (red) and FoxP3 (yellow) (n=5-6 per timepoint) at the indicated times and analysed by microscopy. A- Relative abundance of NK-infiltrated regions exhibiting Treg segregation, shown as percentages of total white pulp areas. B- Quantitation of NK cell densities within different WP regions. C- Representative histogram showing CXCR3 expression on splenic Tregs from naive mouse (blue) or mouse infected for 24hrs with LM-OVA (red). D- Splenocytes were isolated and stimulated in vitro as indicated for 24hrs. Histograms show the expression of CXCR3 in Tregs. E- FoxP3-DTR mice were treated with DT as indicated and infected with LM-OVA. Graph shows the frequency of Tregs in peripheral blood over time. (F-I) WT and FoxP3-DTR mice were adoptively transferred with OTIxhCD2-DsRedxNur77-GFP T-cells, treated with DT and infected with LM-N4 or LM-G4. Graphs show the frequency of CD25+ (F-G) or CD69+ (H-I) OTI T-cells with LM-N4 ( F, H , n=3-5 per timepoint) and LM-G4 ( G, I , n=10-13 per timepoint) at the indicated times. J- WT and FoxP3-DTR mice were adoptively transferred with OTIxhCD2-DsRed cells, treated with DT and infected with LM-N4 for 8 days. Relative abundance of early effector cells (EEC, CD44+ KLRG1-CD127-), short-lived effector cells (SLEC, CD44+ KLRG1+ CD127-), memory precursor cells (MPEC, CD44+ KLRG1- CD127+) and double positive cells (DP, CD44+ KLRG1+ CD127+) OTI T-cells. K- WT and Foxp3-DTR mice were treated with DT and infected with LM-OVA. Graphs show the absolute number of total splenic CD8 T-cells 8 days after infection (n=10-11 per group). L- WT and Foxp3-DTR mice were transferred with OTI T-cells, treated with DT and immunised with the OVA peptide N4. Graph shows absolute numbers of OTI T-cells 5 days after infection (n=11 per group, 2 independent experiments). Two-way ANOVA with Turkey’s multiple correction test (B, F-J) , Welch’s t-tests (K-L) .

Article Snippet: CD8 T-cell isolation was conducted using a mouse CD8 T-cell isolation kit (Miltenyi Biotec, 130-104-075), in accordance with the kit protocol.

Techniques: Infection, Staining, Microscopy, Quantitation Assay, Expressing, Isolation, In Vitro