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cd8 t lymphocytes  (Bio-Rad)


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    Bio-Rad cd8 t lymphocytes
    Cd8 T Lymphocytes, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cd8+t+lymphocytes/pm41005198-65-45-48?v=Bio-Rad
    Average 93 stars, based on 6 article reviews
    cd8 t lymphocytes - by Bioz Stars, 2026-07
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    Miltenyi Biotec cd8 t lymphocytes
    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) degrades multiple immunosuppressive receptors through the ubiquitination pathway. (A) Schematic representation of PITIP. C-terminal Src homology 2 domain (C-SH2) domain of Src homology 2 domain-containing protein tyrosine phosphatase 2 (SHP2) was fused to the human immunodeficiency virus trans-activator of transcription (HIV-TAT) cell-penetrating sequence, which linked von Hippel-Lindau (VHL)-ligand via GSGSGS. (B) Docking models show VHL interactions with hypoxia-inducible factor 1-alpha (HIF1α) and PITIP, SHP2 interactions with programmed cell death protein 1 (PD-1) phospho-ITIM, and PITIP interactions with PD-1 phospho-ITIM. Models were generated using molecular operating environment (MOE) software, with PITIP shown in blue stick representation and ITIM motifs in orange stick representation. (C) Confocal microscopy analysis of PITIP colocalization with immune checkpoint receptors. PITIP with PD-1 and B and T lymphocyte attenuator (BTLA) in human derived <t>CD8</t> + T lymphocytes, with signal-regulatory protein α (SIRP-α) and PD-1 in monocyte-derived macrophages, and with natural killer group 2A (NKG2A) and PD-1 in human derived natural killer (NK) cells. PITIP was visualized in green, checkpoint receptors in red, and nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI; blue). (D) Coimmunoprecipitation analysis of PITIP interactions with immune checkpoint receptors and VHL in distinct immune cell populations: PD-1 and BTLA in T cells, NKG2A and PD-1 in NK cells, and SIRP-α and PD-1 in macrophages. (E) Confocal microscopy analysis of PITIP-mediated degradation of immune checkpoint receptors. Different immune cells were treated with PITIP at different time points: CD8 + T lymphocytes (human-derived) were tested for PD-1 and BTLA, NK cells (human-derived) for NKG2A and PD-1, and macrophages for SIRP-α and PD-1. Checkpoint receptors were visualized in red, and nuclei were counterstained with DAPI (blue). (F) Western blot (WB) analysis of the immune checkpoint receptors degradation in different immune cells treated with different doses of PITIP (with or without 5 μΜ carbobenzoxy-Leu-Leu-leucinal (MG132)) for 24 h. Expression levels normalized to the levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH). (G) PD-1, NKG2A, and SIRP-α poly ubiquitination detected by anti-ubiquitin antibody (anti-Ub) immunoblotting in different cells were treated with PITIP (with or without MG132). Data or images are representative of three independent experiments. ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. IgG: immunoglobulin G; WCL: whole cell lysate.
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    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) degrades multiple immunosuppressive receptors through the ubiquitination pathway. (A) Schematic representation of PITIP. C-terminal Src homology 2 domain (C-SH2) domain of Src homology 2 domain-containing protein tyrosine phosphatase 2 (SHP2) was fused to the human immunodeficiency virus trans-activator of transcription (HIV-TAT) cell-penetrating sequence, which linked von Hippel-Lindau (VHL)-ligand via GSGSGS. (B) Docking models show VHL interactions with hypoxia-inducible factor 1-alpha (HIF1α) and PITIP, SHP2 interactions with programmed cell death protein 1 (PD-1) phospho-ITIM, and PITIP interactions with PD-1 phospho-ITIM. Models were generated using molecular operating environment (MOE) software, with PITIP shown in blue stick representation and ITIM motifs in orange stick representation. (C) Confocal microscopy analysis of PITIP colocalization with immune checkpoint receptors. PITIP with PD-1 and B and T lymphocyte attenuator (BTLA) in human derived <t>CD8</t> + T lymphocytes, with signal-regulatory protein α (SIRP-α) and PD-1 in monocyte-derived macrophages, and with natural killer group 2A (NKG2A) and PD-1 in human derived natural killer (NK) cells. PITIP was visualized in green, checkpoint receptors in red, and nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI; blue). (D) Coimmunoprecipitation analysis of PITIP interactions with immune checkpoint receptors and VHL in distinct immune cell populations: PD-1 and BTLA in T cells, NKG2A and PD-1 in NK cells, and SIRP-α and PD-1 in macrophages. (E) Confocal microscopy analysis of PITIP-mediated degradation of immune checkpoint receptors. Different immune cells were treated with PITIP at different time points: CD8 + T lymphocytes (human-derived) were tested for PD-1 and BTLA, NK cells (human-derived) for NKG2A and PD-1, and macrophages for SIRP-α and PD-1. Checkpoint receptors were visualized in red, and nuclei were counterstained with DAPI (blue). (F) Western blot (WB) analysis of the immune checkpoint receptors degradation in different immune cells treated with different doses of PITIP (with or without 5 μΜ carbobenzoxy-Leu-Leu-leucinal (MG132)) for 24 h. Expression levels normalized to the levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH). (G) PD-1, NKG2A, and SIRP-α poly ubiquitination detected by anti-ubiquitin antibody (anti-Ub) immunoblotting in different cells were treated with PITIP (with or without MG132). Data or images are representative of three independent experiments. ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. IgG: immunoglobulin G; WCL: whole cell lysate.
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    DADA inhibits tumor growth by potentiating <t>CD8</t> + T cell anti‐tumor immune responses. (A) Schematic experimental procedure in (B–E): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (subcutaneously [s.c.]) with 16‐F10 cells on day 0. (B,C) Tumor growth curves (B) and tumor weights (C) at 17 days after B16‐F10 inoculation; n = 6. The experiment was repeated three times. (D,E) Representative flow cytometry plots and quantification of CD8 + T (D), IFN‐γ + CD8 + T and TNF‐α + CD8 + T (E) cells from tumor; n = 6. The experiment was repeated twice. (F) Schematic experimental procedure for (G–J): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (G and H) Tumor growth curves (G) and tumor weights (H) at 17 days after MC38 inoculation; n = 6. The experiment was repeated three times. (I,J) Representative flow cytometry plots and quantification of CD8 + T (I), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (J) cells from tumor; n = 6. The experiment was repeated twice. (K) Schematic experimental procedure for (K–O): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (intravenously [i.v.]) with B16‐F10 cells on day 0. (L,M) Appearance of lungs (L) and the number of tumor nodules (M) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated twice. (N and O) Representative flow cytometry plots and quantification of CD8 + T (N), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (O) cells from the lung; n = 7. The experiment was repeated twice. (P) Schematic experimental procedure for (Q–S): WT mice were fed with DADA‐containing or normal water for 14 days and were injected (intraperitoneally [i.p.]) with 100 µg of anti‐CD8α antibody weekly. The mice were injected (s.c.) with MC38 cells on day 0. (Q–S) Tumor growth curves (Q), tumor weights (R), and representative flow cytometry plots of CD8 + T cells (S) at 17 days after MC38 inoculation; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, G, and Q) and one‐way ANOVA (C–E, H–J, M–O, and R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.
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    DADA inhibits tumor growth by potentiating <t>CD8</t> + T cell anti‐tumor immune responses. (A) Schematic experimental procedure in (B–E): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (subcutaneously [s.c.]) with 16‐F10 cells on day 0. (B,C) Tumor growth curves (B) and tumor weights (C) at 17 days after B16‐F10 inoculation; n = 6. The experiment was repeated three times. (D,E) Representative flow cytometry plots and quantification of CD8 + T (D), IFN‐γ + CD8 + T and TNF‐α + CD8 + T (E) cells from tumor; n = 6. The experiment was repeated twice. (F) Schematic experimental procedure for (G–J): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (G and H) Tumor growth curves (G) and tumor weights (H) at 17 days after MC38 inoculation; n = 6. The experiment was repeated three times. (I,J) Representative flow cytometry plots and quantification of CD8 + T (I), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (J) cells from tumor; n = 6. The experiment was repeated twice. (K) Schematic experimental procedure for (K–O): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (intravenously [i.v.]) with B16‐F10 cells on day 0. (L,M) Appearance of lungs (L) and the number of tumor nodules (M) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated twice. (N and O) Representative flow cytometry plots and quantification of CD8 + T (N), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (O) cells from the lung; n = 7. The experiment was repeated twice. (P) Schematic experimental procedure for (Q–S): WT mice were fed with DADA‐containing or normal water for 14 days and were injected (intraperitoneally [i.p.]) with 100 µg of anti‐CD8α antibody weekly. The mice were injected (s.c.) with MC38 cells on day 0. (Q–S) Tumor growth curves (Q), tumor weights (R), and representative flow cytometry plots of CD8 + T cells (S) at 17 days after MC38 inoculation; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, G, and Q) and one‐way ANOVA (C–E, H–J, M–O, and R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.
    Cd8 T Lymphocytes, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Bio-Rad cd4 t lymphocytes
    DADA inhibits tumor growth by potentiating <t>CD8</t> + T cell anti‐tumor immune responses. (A) Schematic experimental procedure in (B–E): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (subcutaneously [s.c.]) with 16‐F10 cells on day 0. (B,C) Tumor growth curves (B) and tumor weights (C) at 17 days after B16‐F10 inoculation; n = 6. The experiment was repeated three times. (D,E) Representative flow cytometry plots and quantification of CD8 + T (D), IFN‐γ + CD8 + T and TNF‐α + CD8 + T (E) cells from tumor; n = 6. The experiment was repeated twice. (F) Schematic experimental procedure for (G–J): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (G and H) Tumor growth curves (G) and tumor weights (H) at 17 days after MC38 inoculation; n = 6. The experiment was repeated three times. (I,J) Representative flow cytometry plots and quantification of CD8 + T (I), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (J) cells from tumor; n = 6. The experiment was repeated twice. (K) Schematic experimental procedure for (K–O): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (intravenously [i.v.]) with B16‐F10 cells on day 0. (L,M) Appearance of lungs (L) and the number of tumor nodules (M) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated twice. (N and O) Representative flow cytometry plots and quantification of CD8 + T (N), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (O) cells from the lung; n = 7. The experiment was repeated twice. (P) Schematic experimental procedure for (Q–S): WT mice were fed with DADA‐containing or normal water for 14 days and were injected (intraperitoneally [i.p.]) with 100 µg of anti‐CD8α antibody weekly. The mice were injected (s.c.) with MC38 cells on day 0. (Q–S) Tumor growth curves (Q), tumor weights (R), and representative flow cytometry plots of CD8 + T cells (S) at 17 days after MC38 inoculation; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, G, and Q) and one‐way ANOVA (C–E, H–J, M–O, and R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.
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    Flow cytometric analysis of Treg purity and CD25 expression. The cytograms show, in the upper line, CD4 vs. dump channel markers (dead cell dye, <t>CD14/CD16/CD19/CD8),</t> and, in the lower line, CD25 vs. FOXP3 expression in gated CD4 T-cells. Right, histogram overlay of CD25 expression in the indicated cell subsets; numbers shown the geometric mean fluorescence intensity.
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    STEMCELL Technologies Inc human cd8+ t lymphocytes 200-0164
    Flow cytometric analysis of Treg purity and CD25 expression. The cytograms show, in the upper line, CD4 vs. dump channel markers (dead cell dye, <t>CD14/CD16/CD19/CD8),</t> and, in the lower line, CD25 vs. FOXP3 expression in gated CD4 T-cells. Right, histogram overlay of CD25 expression in the indicated cell subsets; numbers shown the geometric mean fluorescence intensity.
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    STEMCELL Technologies Inc human cd8 + t lymphocytes 200-0164
    Flow cytometric analysis of Treg purity and CD25 expression. The cytograms show, in the upper line, CD4 vs. dump channel markers (dead cell dye, <t>CD14/CD16/CD19/CD8),</t> and, in the lower line, CD25 vs. FOXP3 expression in gated CD4 T-cells. Right, histogram overlay of CD25 expression in the indicated cell subsets; numbers shown the geometric mean fluorescence intensity.
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    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) degrades multiple immunosuppressive receptors through the ubiquitination pathway. (A) Schematic representation of PITIP. C-terminal Src homology 2 domain (C-SH2) domain of Src homology 2 domain-containing protein tyrosine phosphatase 2 (SHP2) was fused to the human immunodeficiency virus trans-activator of transcription (HIV-TAT) cell-penetrating sequence, which linked von Hippel-Lindau (VHL)-ligand via GSGSGS. (B) Docking models show VHL interactions with hypoxia-inducible factor 1-alpha (HIF1α) and PITIP, SHP2 interactions with programmed cell death protein 1 (PD-1) phospho-ITIM, and PITIP interactions with PD-1 phospho-ITIM. Models were generated using molecular operating environment (MOE) software, with PITIP shown in blue stick representation and ITIM motifs in orange stick representation. (C) Confocal microscopy analysis of PITIP colocalization with immune checkpoint receptors. PITIP with PD-1 and B and T lymphocyte attenuator (BTLA) in human derived CD8 + T lymphocytes, with signal-regulatory protein α (SIRP-α) and PD-1 in monocyte-derived macrophages, and with natural killer group 2A (NKG2A) and PD-1 in human derived natural killer (NK) cells. PITIP was visualized in green, checkpoint receptors in red, and nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI; blue). (D) Coimmunoprecipitation analysis of PITIP interactions with immune checkpoint receptors and VHL in distinct immune cell populations: PD-1 and BTLA in T cells, NKG2A and PD-1 in NK cells, and SIRP-α and PD-1 in macrophages. (E) Confocal microscopy analysis of PITIP-mediated degradation of immune checkpoint receptors. Different immune cells were treated with PITIP at different time points: CD8 + T lymphocytes (human-derived) were tested for PD-1 and BTLA, NK cells (human-derived) for NKG2A and PD-1, and macrophages for SIRP-α and PD-1. Checkpoint receptors were visualized in red, and nuclei were counterstained with DAPI (blue). (F) Western blot (WB) analysis of the immune checkpoint receptors degradation in different immune cells treated with different doses of PITIP (with or without 5 μΜ carbobenzoxy-Leu-Leu-leucinal (MG132)) for 24 h. Expression levels normalized to the levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH). (G) PD-1, NKG2A, and SIRP-α poly ubiquitination detected by anti-ubiquitin antibody (anti-Ub) immunoblotting in different cells were treated with PITIP (with or without MG132). Data or images are representative of three independent experiments. ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. IgG: immunoglobulin G; WCL: whole cell lysate.

    Journal: Journal of Pharmaceutical Analysis

    Article Title: A novel proteolysis-targeting chimera strategy targeting multiple immune checkpoints containing ITIMs enhances antitumor immunity

    doi: 10.1016/j.jpha.2025.101511

    Figure Lengend Snippet: Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) degrades multiple immunosuppressive receptors through the ubiquitination pathway. (A) Schematic representation of PITIP. C-terminal Src homology 2 domain (C-SH2) domain of Src homology 2 domain-containing protein tyrosine phosphatase 2 (SHP2) was fused to the human immunodeficiency virus trans-activator of transcription (HIV-TAT) cell-penetrating sequence, which linked von Hippel-Lindau (VHL)-ligand via GSGSGS. (B) Docking models show VHL interactions with hypoxia-inducible factor 1-alpha (HIF1α) and PITIP, SHP2 interactions with programmed cell death protein 1 (PD-1) phospho-ITIM, and PITIP interactions with PD-1 phospho-ITIM. Models were generated using molecular operating environment (MOE) software, with PITIP shown in blue stick representation and ITIM motifs in orange stick representation. (C) Confocal microscopy analysis of PITIP colocalization with immune checkpoint receptors. PITIP with PD-1 and B and T lymphocyte attenuator (BTLA) in human derived CD8 + T lymphocytes, with signal-regulatory protein α (SIRP-α) and PD-1 in monocyte-derived macrophages, and with natural killer group 2A (NKG2A) and PD-1 in human derived natural killer (NK) cells. PITIP was visualized in green, checkpoint receptors in red, and nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI; blue). (D) Coimmunoprecipitation analysis of PITIP interactions with immune checkpoint receptors and VHL in distinct immune cell populations: PD-1 and BTLA in T cells, NKG2A and PD-1 in NK cells, and SIRP-α and PD-1 in macrophages. (E) Confocal microscopy analysis of PITIP-mediated degradation of immune checkpoint receptors. Different immune cells were treated with PITIP at different time points: CD8 + T lymphocytes (human-derived) were tested for PD-1 and BTLA, NK cells (human-derived) for NKG2A and PD-1, and macrophages for SIRP-α and PD-1. Checkpoint receptors were visualized in red, and nuclei were counterstained with DAPI (blue). (F) Western blot (WB) analysis of the immune checkpoint receptors degradation in different immune cells treated with different doses of PITIP (with or without 5 μΜ carbobenzoxy-Leu-Leu-leucinal (MG132)) for 24 h. Expression levels normalized to the levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH). (G) PD-1, NKG2A, and SIRP-α poly ubiquitination detected by anti-ubiquitin antibody (anti-Ub) immunoblotting in different cells were treated with PITIP (with or without MG132). Data or images are representative of three independent experiments. ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. IgG: immunoglobulin G; WCL: whole cell lysate.

    Article Snippet: CD8 + T lymphocytes were further purified from PBMCs using magnetic-activated cell sorting (MACS) according to the manufacturer's instructions (CD8 + T lymphocytes: 130-045-201; Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Ubiquitin Proteomics, Virus, Sequencing, Generated, Software, Confocal Microscopy, Derivative Assay, Western Blot, Expressing

    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) suppresses Src homology 2 domain-containing phosphatase 2 (SHP2)-mediated inhibitory signaling pathways and increases the cytotoxicity of T cells and natural killer (NK) cells as well as the phagocytosis and antitumor phenotype of macrophages via the activation signaling pathways. (A) Immunoblot analysis of signaling molecules in PITIP-treated T cells (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules ak strain transforming (AKT) and extracellular signal-regulated kinase (ERK), with corresponding total protein levels as controls. (B) Flow cytometric analysis of T-cell functional activation was performed, quantifying surface expression of intracellular Ki67 (proliferation marker), CD69 (activation marker), cleaved caspase-3 (apoptosis indicator), and granzyme B secretion (cytotoxic effector molecule) following PITIP treatment. (C) Up: Flow cytometric assessment of T cell proliferation via carboxyfluorescein succinimidyl ester (CFSE); representative histograms of CFSE fluorescence intensity and quantification of proliferating T cells are shown. Down: Real-time cytotoxicity of CD8 + T cells against human colorectal tumor cell line (HCT)116 cells. CD8 + T cells were treated with or without PITIP (50 nM) prior to coculture with HCT116 cells; target cell viability was monitored continuously using the xCELLigence real-time cell analysis (RTCA) system, and the cell index at 96 h is presented as a bar graph. (D) Immunoblot analysis of signaling molecules in PITIP-treated NK cells (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules spleen tyrosine kinase (SYK) and zeta-chain-associated protein kinase 70 kDa (ZAP70), with corresponding total protein levels as controls. (E) NK cell cytotoxic activity was assessed via flow cytometry through measurement of CD107a surface mobilization (degranulation marker), along with intracellular perforin and granzyme B expression (cytolytic mediators) in PITIP-treated cells. (F) Cytotoxicity of PITIP-treated NK cells against human hepatocellular carcinoma cell line G2 (HepG2) cells, which were labeled with CFSE. NK cells were stimulated with PITIP (50 nM) for 3 days before coculture with labeled tumor cells (effector-to-target ratio = 1:1) for 4 h. Representative flow cytometric assessment histograms were shown. (G) Immunoblot analysis of signaling molecules in PITIP-treated macrophages (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules SYK and AKT, with corresponding total protein levels as controls. (H) Macrophage polarization status was evaluated by flow cytometric quantification of M2-like protumoral markers (CD206 surface density and interleukin-10 (IL-10) secretion) versus M1-like antitumoral markers (CD86 surface expression and inducible nitric oxide synthase (iNOS) production) in PITIP-exposed macrophage populations. (I) Representative fluorescence microscopy images showing phagocytosis of green fluorescent protein (GFP)-expressing HCT116 cells by PITIP-treated macrophages. Images were captured after 2 h coculture of macrophages with tumor cells. Data or images are representative of three independent experiments. Statistical analysis was performed using Student's t -test or one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. β-actin: beta-actin; PHA: phytohemagglutinin; PMA: phorbol 12-myristate 13-acetate; 7AAD: 7-aminoactinomycin D.

    Journal: Journal of Pharmaceutical Analysis

    Article Title: A novel proteolysis-targeting chimera strategy targeting multiple immune checkpoints containing ITIMs enhances antitumor immunity

    doi: 10.1016/j.jpha.2025.101511

    Figure Lengend Snippet: Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) suppresses Src homology 2 domain-containing phosphatase 2 (SHP2)-mediated inhibitory signaling pathways and increases the cytotoxicity of T cells and natural killer (NK) cells as well as the phagocytosis and antitumor phenotype of macrophages via the activation signaling pathways. (A) Immunoblot analysis of signaling molecules in PITIP-treated T cells (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules ak strain transforming (AKT) and extracellular signal-regulated kinase (ERK), with corresponding total protein levels as controls. (B) Flow cytometric analysis of T-cell functional activation was performed, quantifying surface expression of intracellular Ki67 (proliferation marker), CD69 (activation marker), cleaved caspase-3 (apoptosis indicator), and granzyme B secretion (cytotoxic effector molecule) following PITIP treatment. (C) Up: Flow cytometric assessment of T cell proliferation via carboxyfluorescein succinimidyl ester (CFSE); representative histograms of CFSE fluorescence intensity and quantification of proliferating T cells are shown. Down: Real-time cytotoxicity of CD8 + T cells against human colorectal tumor cell line (HCT)116 cells. CD8 + T cells were treated with or without PITIP (50 nM) prior to coculture with HCT116 cells; target cell viability was monitored continuously using the xCELLigence real-time cell analysis (RTCA) system, and the cell index at 96 h is presented as a bar graph. (D) Immunoblot analysis of signaling molecules in PITIP-treated NK cells (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules spleen tyrosine kinase (SYK) and zeta-chain-associated protein kinase 70 kDa (ZAP70), with corresponding total protein levels as controls. (E) NK cell cytotoxic activity was assessed via flow cytometry through measurement of CD107a surface mobilization (degranulation marker), along with intracellular perforin and granzyme B expression (cytolytic mediators) in PITIP-treated cells. (F) Cytotoxicity of PITIP-treated NK cells against human hepatocellular carcinoma cell line G2 (HepG2) cells, which were labeled with CFSE. NK cells were stimulated with PITIP (50 nM) for 3 days before coculture with labeled tumor cells (effector-to-target ratio = 1:1) for 4 h. Representative flow cytometric assessment histograms were shown. (G) Immunoblot analysis of signaling molecules in PITIP-treated macrophages (50 nM, 24 h). Blots show phosphorylation levels of SHP2 (Tyr542 and Tyr580 residues) and key downstream molecules SYK and AKT, with corresponding total protein levels as controls. (H) Macrophage polarization status was evaluated by flow cytometric quantification of M2-like protumoral markers (CD206 surface density and interleukin-10 (IL-10) secretion) versus M1-like antitumoral markers (CD86 surface expression and inducible nitric oxide synthase (iNOS) production) in PITIP-exposed macrophage populations. (I) Representative fluorescence microscopy images showing phagocytosis of green fluorescent protein (GFP)-expressing HCT116 cells by PITIP-treated macrophages. Images were captured after 2 h coculture of macrophages with tumor cells. Data or images are representative of three independent experiments. Statistical analysis was performed using Student's t -test or one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; NS, not significant. β-actin: beta-actin; PHA: phytohemagglutinin; PMA: phorbol 12-myristate 13-acetate; 7AAD: 7-aminoactinomycin D.

    Article Snippet: CD8 + T lymphocytes were further purified from PBMCs using magnetic-activated cell sorting (MACS) according to the manufacturer's instructions (CD8 + T lymphocytes: 130-045-201; Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Protein-Protein interactions, Activation Assay, Western Blot, Phospho-proteomics, Functional Assay, Expressing, Marker, Fluorescence, Cell Analysis, Activity Assay, Flow Cytometry, Labeling, Microscopy

    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) revives antitumor immunity in different types of tumors in humans and mice. (A) Schematic depicting the treatment regimen of tumor-bearing mice. (B, C) PITIP treatment suppresses hepatocellular carcinoma growth in vivo . Mice bearing hepatoma 1–6 (Hepa1-6) tumors were randomized to receive vehicle, PITIP (i.p., every other day; PITIP-L, 125 μg/kg; PITIP-M, 250 μg/kg; PITIP-H, 500 μg/kg), ITIM-targeting inhibitory peptide (ITIP) (i.p., every other day; 250 μg/kg), or anti-programmed cell death protein 1 (αPD-1) antibody (i.p., every two days; 6250 μg/kg) when tumor volumes reached ∼100 mm 3 ( n = 6 per group). (B) Tumor photographs and weights at the study endpoint (left), and the survival curves of mice in each group (right). (C) Tumor growth curves were monitored by caliper measurements every three days. (D) Flow cytometric analysis of tumor-infiltrating CD8 + T cells to evaluate PITIP-induced antitumor immunity: percentages and relative mean fluorescence intensity (MFI) are shown. Quantification of Ki67 (proliferation marker) and CD69 (activation marker) expression via relative MFI values and representative plots in tumor-infiltrating CD8 + T cells. (E) Flow cytometric analysis of tumor-infiltrating natural killer (NK) cells: percentages and MFI are shown. Comparative analysis of CD69 (activation marker) and CD107a (degranulation marker) expression levels in tumor-infiltrating NK cells, presented as normalized MFI with corresponding flow cytometry plots. (F) Flow cytometric analysis of tumor-infiltrating macrophages: percentages and MFI are shown. Relative MFI quantification and representative flow plots demonstrating M2-like (CD206, interleukin-10 (IL-10)) and M1-like (CD86, inducible nitric oxide synthase (iNOS)) macrophage polarization markers in tumor-associated macrophages from tumor-bearing mice. (G) Schematic of the treatment regimen for tumor-bearing humanized mice. Human peripheral blood mononuclear cells (PBMCs) were injected on day −14, and human hepatocellular carcinoma cell line G2 (HepG2) cells were inoculated on day 0. When tumors reached 100 mm 3 , mice were randomly assigned to 4 groups ( n = 5 per group): vehicle, PITIP (i.p., every other day; 250 μg/kg), ITIP (i.p., every other day; 250 μg/kg), or αPD-1 antibody (i.p., every two days; 6250 μg/kg). (H) Tumor photographs and weights at the study endpoint. (I) Tumor growth curves were monitored by caliper measurements at day 5, 7, 11, 15, 19 and 23. The color codes for each group are as follows: gray, vehicle control; red, PITIP; yellow, ITIP; blue, αPD-1. (J–M) Flow cytometric analysis of tumor-infiltrating CD8 + T cells to assess PITIP-induced activation: relative MFI and representative plots of proliferation (Ki67) (J), activation (CD69) (K), and cytotoxicity (perforin (L), granzyme B (M)) markers are shown. Statistical analysis was performed using one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; ∗∗∗∗ P < 0.0001; NS, not significant.

    Journal: Journal of Pharmaceutical Analysis

    Article Title: A novel proteolysis-targeting chimera strategy targeting multiple immune checkpoints containing ITIMs enhances antitumor immunity

    doi: 10.1016/j.jpha.2025.101511

    Figure Lengend Snippet: Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) revives antitumor immunity in different types of tumors in humans and mice. (A) Schematic depicting the treatment regimen of tumor-bearing mice. (B, C) PITIP treatment suppresses hepatocellular carcinoma growth in vivo . Mice bearing hepatoma 1–6 (Hepa1-6) tumors were randomized to receive vehicle, PITIP (i.p., every other day; PITIP-L, 125 μg/kg; PITIP-M, 250 μg/kg; PITIP-H, 500 μg/kg), ITIM-targeting inhibitory peptide (ITIP) (i.p., every other day; 250 μg/kg), or anti-programmed cell death protein 1 (αPD-1) antibody (i.p., every two days; 6250 μg/kg) when tumor volumes reached ∼100 mm 3 ( n = 6 per group). (B) Tumor photographs and weights at the study endpoint (left), and the survival curves of mice in each group (right). (C) Tumor growth curves were monitored by caliper measurements every three days. (D) Flow cytometric analysis of tumor-infiltrating CD8 + T cells to evaluate PITIP-induced antitumor immunity: percentages and relative mean fluorescence intensity (MFI) are shown. Quantification of Ki67 (proliferation marker) and CD69 (activation marker) expression via relative MFI values and representative plots in tumor-infiltrating CD8 + T cells. (E) Flow cytometric analysis of tumor-infiltrating natural killer (NK) cells: percentages and MFI are shown. Comparative analysis of CD69 (activation marker) and CD107a (degranulation marker) expression levels in tumor-infiltrating NK cells, presented as normalized MFI with corresponding flow cytometry plots. (F) Flow cytometric analysis of tumor-infiltrating macrophages: percentages and MFI are shown. Relative MFI quantification and representative flow plots demonstrating M2-like (CD206, interleukin-10 (IL-10)) and M1-like (CD86, inducible nitric oxide synthase (iNOS)) macrophage polarization markers in tumor-associated macrophages from tumor-bearing mice. (G) Schematic of the treatment regimen for tumor-bearing humanized mice. Human peripheral blood mononuclear cells (PBMCs) were injected on day −14, and human hepatocellular carcinoma cell line G2 (HepG2) cells were inoculated on day 0. When tumors reached 100 mm 3 , mice were randomly assigned to 4 groups ( n = 5 per group): vehicle, PITIP (i.p., every other day; 250 μg/kg), ITIP (i.p., every other day; 250 μg/kg), or αPD-1 antibody (i.p., every two days; 6250 μg/kg). (H) Tumor photographs and weights at the study endpoint. (I) Tumor growth curves were monitored by caliper measurements at day 5, 7, 11, 15, 19 and 23. The color codes for each group are as follows: gray, vehicle control; red, PITIP; yellow, ITIP; blue, αPD-1. (J–M) Flow cytometric analysis of tumor-infiltrating CD8 + T cells to assess PITIP-induced activation: relative MFI and representative plots of proliferation (Ki67) (J), activation (CD69) (K), and cytotoxicity (perforin (L), granzyme B (M)) markers are shown. Statistical analysis was performed using one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; ∗∗∗∗ P < 0.0001; NS, not significant.

    Article Snippet: CD8 + T lymphocytes were further purified from PBMCs using magnetic-activated cell sorting (MACS) according to the manufacturer's instructions (CD8 + T lymphocytes: 130-045-201; Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: In Vivo, Fluorescence, Marker, Activation Assay, Expressing, Flow Cytometry, Injection, Control

    Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) induces robust anti-tumor immune responses in anti-programmed cell death protein 1 (αPD-1)-resistant tumor. (A) Schematic depicting the treatment regimen of tumor-bearing mice. αPD-1-resistant mouse colon 38 (MC38) tumor model was established by serially passaging MC38 tumors under continuous αPD-1 treatment. Mice were inoculated with αPD-1-resistant MC38 cells. When tumors reached 100 mm 3 , mice were randomly assigned to receive vehicle, PITIP (i.p., every other day; 250 μg/kg), ITIM-targeting inhibitory peptide (ITIP) (i.p., every other day; 250 μg/kg) or αPD-1 antibody (i.p., every two days; 6250 μg/kg) treatment ( n = 6 per group). (B–D) Antitumor efficacy of PITIP in αPD-1-resistant MC38 tumors: Representative tumor images (B), tumor weights at the endpoint (C), and tumor growth curves (D) (measured at day 5, 7, 11, 15, 19 and 23) are shown. . (E, F) Flow cytometric quantification of Ki67 + (proliferative) (E) and CD69 + (activated) (F) subpopulations in tumor-infiltrating CD8 + T cells, with representative density plots and percentage distributions. (G, H) Representative plots and percentages of CD69 (G) and CD107a (H) expression in tumor-infiltrating natural killer (NK) cells analyzed by flow cytometry. (I–L) Multiparametric flow analysis of macrophage polarization in tumor lesions to evaluate PITIP-induced tumor microenvironment (TME) remodeling: CD206 + (M2-like) macrophages (I), interleukin-10 (IL-10) + (M2-like) macrophages (J), CD86 + (M1-like) macrophages (K), and inducible nitric oxide synthase (iNOS) + (M1-like) macrophages (L). Percentage distributions and gating strategies are shown, with PITIP promoting M1-like polarization and inhibiting M2-like polarization. Statistical significance was determined by one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; ∗∗∗∗ P < 0.0001; NS, not significant.

    Journal: Journal of Pharmaceutical Analysis

    Article Title: A novel proteolysis-targeting chimera strategy targeting multiple immune checkpoints containing ITIMs enhances antitumor immunity

    doi: 10.1016/j.jpha.2025.101511

    Figure Lengend Snippet: Proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP) induces robust anti-tumor immune responses in anti-programmed cell death protein 1 (αPD-1)-resistant tumor. (A) Schematic depicting the treatment regimen of tumor-bearing mice. αPD-1-resistant mouse colon 38 (MC38) tumor model was established by serially passaging MC38 tumors under continuous αPD-1 treatment. Mice were inoculated with αPD-1-resistant MC38 cells. When tumors reached 100 mm 3 , mice were randomly assigned to receive vehicle, PITIP (i.p., every other day; 250 μg/kg), ITIM-targeting inhibitory peptide (ITIP) (i.p., every other day; 250 μg/kg) or αPD-1 antibody (i.p., every two days; 6250 μg/kg) treatment ( n = 6 per group). (B–D) Antitumor efficacy of PITIP in αPD-1-resistant MC38 tumors: Representative tumor images (B), tumor weights at the endpoint (C), and tumor growth curves (D) (measured at day 5, 7, 11, 15, 19 and 23) are shown. . (E, F) Flow cytometric quantification of Ki67 + (proliferative) (E) and CD69 + (activated) (F) subpopulations in tumor-infiltrating CD8 + T cells, with representative density plots and percentage distributions. (G, H) Representative plots and percentages of CD69 (G) and CD107a (H) expression in tumor-infiltrating natural killer (NK) cells analyzed by flow cytometry. (I–L) Multiparametric flow analysis of macrophage polarization in tumor lesions to evaluate PITIP-induced tumor microenvironment (TME) remodeling: CD206 + (M2-like) macrophages (I), interleukin-10 (IL-10) + (M2-like) macrophages (J), CD86 + (M1-like) macrophages (K), and inducible nitric oxide synthase (iNOS) + (M1-like) macrophages (L). Percentage distributions and gating strategies are shown, with PITIP promoting M1-like polarization and inhibiting M2-like polarization. Statistical significance was determined by one-way analysis of variance (ANOVA). ∗ P < 0.05; ∗∗ P < 0.01; ∗∗∗ P < 0.001; ∗∗∗∗ P < 0.0001; NS, not significant.

    Article Snippet: CD8 + T lymphocytes were further purified from PBMCs using magnetic-activated cell sorting (MACS) according to the manufacturer's instructions (CD8 + T lymphocytes: 130-045-201; Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Passaging, Expressing, Flow Cytometry

    CD45 (proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP)) encapsulated within liposomes (lipoPITIP) outperformed PITIP in tumor microenvironment (TME) remodeling and anti-cancer effects. (A) Images displaying luminescence in orthotopic hepatoma 1–6 (Hepa1-6) -luciferase (Luc) tumor-bearing C57BL/6 mice following indicated treatments. Mice were randomly assigned to receive vehicle (i.p., every other day), CD45-lipid nanoparticle (LNP) (i.v., every three days), PITIP (i.p., every other day), lipoPITIP (i.v., every three days), CD45-lipoPITIP (i.v., every three days) treatment ( n = 5 per group). (B) Quantification of luminescence levels in mice utilizing the in vivo imaging system spectrum (IVIS) after indicated treatments. (C) Photos of excised liver tumors from mice following indicated treatments. (D) Heatmap displays the expression levels of 41 markers of CD45 + clusters within the tumor-infiltrating immune cells of CD45-LNP or CD45-lipoPITIP treatment ( n = 3). (E) t -distributed stochastic neighbor embedding ( t- SNE) plot of CD45 + tumor-infiltrating leukocytes of total 6 samples (pooled data) by the cytometry by time-of-flight (CyTOF) assay divided the immune cells into 10 clusters. (F) Proportions of the indicated immune cell subsets within the CD45 + population are shown. (G–I) Violin plots showing the expression levels of proliferation (Ki67) and cytotoxicity (granzyme B, perforin) markers in CD8 + T cells (G) and the expression levels of activation (CD25) and cytotoxicity (CD107a, perforin) markers in natural killer (NK) cells (H). Violin plots depicting the expression of antitumoral (CD86, inducible nitric oxide synthase (iNOS)) and protumoral (CD172a) markers in macrophages (I). Statistical significance was determined by one-way analysis of variance (ANOVA) or log-rank test. ∗ P < 0.05; ∗∗ P < 0.01; NS, not significant. DC: dendritic cell; MDSC: myeloid-derived suppressor cell.∖

    Journal: Journal of Pharmaceutical Analysis

    Article Title: A novel proteolysis-targeting chimera strategy targeting multiple immune checkpoints containing ITIMs enhances antitumor immunity

    doi: 10.1016/j.jpha.2025.101511

    Figure Lengend Snippet: CD45 (proteolytic targeting chimera (PROTAC) of immunoreceptor tyrosine-based inhibitory motif (ITIM)-targeting inhibitory peptide (PITIP)) encapsulated within liposomes (lipoPITIP) outperformed PITIP in tumor microenvironment (TME) remodeling and anti-cancer effects. (A) Images displaying luminescence in orthotopic hepatoma 1–6 (Hepa1-6) -luciferase (Luc) tumor-bearing C57BL/6 mice following indicated treatments. Mice were randomly assigned to receive vehicle (i.p., every other day), CD45-lipid nanoparticle (LNP) (i.v., every three days), PITIP (i.p., every other day), lipoPITIP (i.v., every three days), CD45-lipoPITIP (i.v., every three days) treatment ( n = 5 per group). (B) Quantification of luminescence levels in mice utilizing the in vivo imaging system spectrum (IVIS) after indicated treatments. (C) Photos of excised liver tumors from mice following indicated treatments. (D) Heatmap displays the expression levels of 41 markers of CD45 + clusters within the tumor-infiltrating immune cells of CD45-LNP or CD45-lipoPITIP treatment ( n = 3). (E) t -distributed stochastic neighbor embedding ( t- SNE) plot of CD45 + tumor-infiltrating leukocytes of total 6 samples (pooled data) by the cytometry by time-of-flight (CyTOF) assay divided the immune cells into 10 clusters. (F) Proportions of the indicated immune cell subsets within the CD45 + population are shown. (G–I) Violin plots showing the expression levels of proliferation (Ki67) and cytotoxicity (granzyme B, perforin) markers in CD8 + T cells (G) and the expression levels of activation (CD25) and cytotoxicity (CD107a, perforin) markers in natural killer (NK) cells (H). Violin plots depicting the expression of antitumoral (CD86, inducible nitric oxide synthase (iNOS)) and protumoral (CD172a) markers in macrophages (I). Statistical significance was determined by one-way analysis of variance (ANOVA) or log-rank test. ∗ P < 0.05; ∗∗ P < 0.01; NS, not significant. DC: dendritic cell; MDSC: myeloid-derived suppressor cell.∖

    Article Snippet: CD8 + T lymphocytes were further purified from PBMCs using magnetic-activated cell sorting (MACS) according to the manufacturer's instructions (CD8 + T lymphocytes: 130-045-201; Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Liposomes, Luciferase, In Vivo Imaging, Expressing, Cytometry, Activation Assay, Derivative Assay

    DADA inhibits tumor growth by potentiating CD8 + T cell anti‐tumor immune responses. (A) Schematic experimental procedure in (B–E): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (subcutaneously [s.c.]) with 16‐F10 cells on day 0. (B,C) Tumor growth curves (B) and tumor weights (C) at 17 days after B16‐F10 inoculation; n = 6. The experiment was repeated three times. (D,E) Representative flow cytometry plots and quantification of CD8 + T (D), IFN‐γ + CD8 + T and TNF‐α + CD8 + T (E) cells from tumor; n = 6. The experiment was repeated twice. (F) Schematic experimental procedure for (G–J): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (G and H) Tumor growth curves (G) and tumor weights (H) at 17 days after MC38 inoculation; n = 6. The experiment was repeated three times. (I,J) Representative flow cytometry plots and quantification of CD8 + T (I), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (J) cells from tumor; n = 6. The experiment was repeated twice. (K) Schematic experimental procedure for (K–O): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (intravenously [i.v.]) with B16‐F10 cells on day 0. (L,M) Appearance of lungs (L) and the number of tumor nodules (M) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated twice. (N and O) Representative flow cytometry plots and quantification of CD8 + T (N), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (O) cells from the lung; n = 7. The experiment was repeated twice. (P) Schematic experimental procedure for (Q–S): WT mice were fed with DADA‐containing or normal water for 14 days and were injected (intraperitoneally [i.p.]) with 100 µg of anti‐CD8α antibody weekly. The mice were injected (s.c.) with MC38 cells on day 0. (Q–S) Tumor growth curves (Q), tumor weights (R), and representative flow cytometry plots of CD8 + T cells (S) at 17 days after MC38 inoculation; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, G, and Q) and one‐way ANOVA (C–E, H–J, M–O, and R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Journal: Advanced Science

    Article Title: DADA Enhances CD8 + T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

    doi: 10.1002/advs.202519765

    Figure Lengend Snippet: DADA inhibits tumor growth by potentiating CD8 + T cell anti‐tumor immune responses. (A) Schematic experimental procedure in (B–E): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (subcutaneously [s.c.]) with 16‐F10 cells on day 0. (B,C) Tumor growth curves (B) and tumor weights (C) at 17 days after B16‐F10 inoculation; n = 6. The experiment was repeated three times. (D,E) Representative flow cytometry plots and quantification of CD8 + T (D), IFN‐γ + CD8 + T and TNF‐α + CD8 + T (E) cells from tumor; n = 6. The experiment was repeated twice. (F) Schematic experimental procedure for (G–J): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (G and H) Tumor growth curves (G) and tumor weights (H) at 17 days after MC38 inoculation; n = 6. The experiment was repeated three times. (I,J) Representative flow cytometry plots and quantification of CD8 + T (I), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (J) cells from tumor; n = 6. The experiment was repeated twice. (K) Schematic experimental procedure for (K–O): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (intravenously [i.v.]) with B16‐F10 cells on day 0. (L,M) Appearance of lungs (L) and the number of tumor nodules (M) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated twice. (N and O) Representative flow cytometry plots and quantification of CD8 + T (N), IFN‐γ + CD8 + T, TNF‐α + CD8 + T and GZMB + CD8 + T (O) cells from the lung; n = 7. The experiment was repeated twice. (P) Schematic experimental procedure for (Q–S): WT mice were fed with DADA‐containing or normal water for 14 days and were injected (intraperitoneally [i.p.]) with 100 µg of anti‐CD8α antibody weekly. The mice were injected (s.c.) with MC38 cells on day 0. (Q–S) Tumor growth curves (Q), tumor weights (R), and representative flow cytometry plots of CD8 + T cells (S) at 17 days after MC38 inoculation; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, G, and Q) and one‐way ANOVA (C–E, H–J, M–O, and R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Article Snippet: For isolation of mouse CD8 + T cells, cells were purified from splenic lymphocytes using through magnetic activated cell sorting (MACS) using the Mouse CD8 + T Lymphocyte Negative Selection Kit (Cat#130‐104‐075, Miltenyi Biotec, USA).

    Techniques: Injection, Flow Cytometry

    DADA prevents CD8 + T cells terminal exhaustion while promoting Tpex cell accumulation in the tumor microenvironment. (A) Schematic experimental procedure for (B–I): WT mice were fed with DADA‐containing or normal water for 31 days and were injected (s.c.) with MC38 cells on day 0. Tumor‐infiltrating CD45 + cells were harvested for 10× genomic scRNA‐seq. (B) Biaxial tSNE clustering plots showing tumor‐infiltrating CD45 + cells. (C) Dot plot showing the expression of representative genes for each cell type in (B). (D) Relative percentages of each cell type in (B). (E) Top 20 enriched GO terms in CD8 + T cells from DADA‐treated mice versus CD8 + T cells from control mice. (F) Biaxial tSNE plots showing secondary clusters of CD8 + T cells. (G) Dot plot showing the expression of representative genes for each cell subset in (F). (H) Relative percentages of each subset in (F). (I) Schematic experimental procedure for (J–M): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (J–M) Representative flow cytometry plots and quantification of PD‐1 + TIM‐3 + (J), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (K), TOX + (L), and Ki67 + (M) cells among CD8 + T cells from tumor; n = 6. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by one‐way ANOVA (J–M); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Journal: Advanced Science

    Article Title: DADA Enhances CD8 + T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

    doi: 10.1002/advs.202519765

    Figure Lengend Snippet: DADA prevents CD8 + T cells terminal exhaustion while promoting Tpex cell accumulation in the tumor microenvironment. (A) Schematic experimental procedure for (B–I): WT mice were fed with DADA‐containing or normal water for 31 days and were injected (s.c.) with MC38 cells on day 0. Tumor‐infiltrating CD45 + cells were harvested for 10× genomic scRNA‐seq. (B) Biaxial tSNE clustering plots showing tumor‐infiltrating CD45 + cells. (C) Dot plot showing the expression of representative genes for each cell type in (B). (D) Relative percentages of each cell type in (B). (E) Top 20 enriched GO terms in CD8 + T cells from DADA‐treated mice versus CD8 + T cells from control mice. (F) Biaxial tSNE plots showing secondary clusters of CD8 + T cells. (G) Dot plot showing the expression of representative genes for each cell subset in (F). (H) Relative percentages of each subset in (F). (I) Schematic experimental procedure for (J–M): WT mice were fed with DADA‐containing or normal water from day ‐14 until the experimental endpoints or until day 0, and were injected (s.c.) with MC38 cells on day 0. (J–M) Representative flow cytometry plots and quantification of PD‐1 + TIM‐3 + (J), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (K), TOX + (L), and Ki67 + (M) cells among CD8 + T cells from tumor; n = 6. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by one‐way ANOVA (J–M); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Article Snippet: For isolation of mouse CD8 + T cells, cells were purified from splenic lymphocytes using through magnetic activated cell sorting (MACS) using the Mouse CD8 + T Lymphocyte Negative Selection Kit (Cat#130‐104‐075, Miltenyi Biotec, USA).

    Techniques: Injection, Expressing, Control, Flow Cytometry

    DADA enhances CD8 + T cell stemness in a PDK1‐dependent manner. (A) Schematic experimental procedure for the generation of mouse exhausted CD8 + T cells for (B–E): purified splenic CD8 + T cells were stimulated with anti‐CD3/CD28 mAbs and IL‐2 from for 6 days, with the addition of 40 µM DADA staring from day 3. (B–E) Representative flow cytometry plots and histogram, and quantification of PD‐1 + TIM‐3 + (B), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (C), Ly108 expression (D), TNF‐α + , IFN‐γ + , and GZMB + (E) cells among CD8 + T cells; n = 3. The experiment was repeated three times. (F) Schematic experimental procedure for the generation of mouse exhausted OT‐1 CD8 + T cells for (G–J): splenic cells from OT‐1 mice were activated with ovalbumin (OVA) peptide and IL‐2 for 2 days, followed by stimulation with anti‐CD3/CD28 mAbs and IL‐2 in the presence of 40 µM DADA from day 3 to day 6. (G–J) Representative flow cytometry plots and histogram, and quantification of PD‐1 + TIM‐3 + (G), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (H), Ly108 expression (I), TNF‐α + and IFN‐γ + (J) cells among CD8 + T cells; n = 3. The experiment was repeated twice. (K) DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells were collected for RNA‐seq. Heatmap showing the expression of selected genes. (L) mRNA levels of the indicated molecules in DADA‐ or DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (M) GSEA of DADA‐ versus DMSO‐treated mouse exhausted CD8 + T cells in indicated gene sets. NES, normalized enrichment score. (N) Heatmap showing the expression of Pdk1 , Pdk2 , Pdk3 , and Pdk4 in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. (O) Mouse Pdk1 knockout CD8 + T cells induced to exhaustion subjected to DADA treatment were collected. Quantification of TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + , IFN‐γ + and GZMB + cells among CD8 + T cells; n = 3. Data are presented as mean ± SD and are analyzed by unpaired t test (B‐E, G‐J, and L) and two‐way ANOVA (O); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Journal: Advanced Science

    Article Title: DADA Enhances CD8 + T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

    doi: 10.1002/advs.202519765

    Figure Lengend Snippet: DADA enhances CD8 + T cell stemness in a PDK1‐dependent manner. (A) Schematic experimental procedure for the generation of mouse exhausted CD8 + T cells for (B–E): purified splenic CD8 + T cells were stimulated with anti‐CD3/CD28 mAbs and IL‐2 from for 6 days, with the addition of 40 µM DADA staring from day 3. (B–E) Representative flow cytometry plots and histogram, and quantification of PD‐1 + TIM‐3 + (B), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (C), Ly108 expression (D), TNF‐α + , IFN‐γ + , and GZMB + (E) cells among CD8 + T cells; n = 3. The experiment was repeated three times. (F) Schematic experimental procedure for the generation of mouse exhausted OT‐1 CD8 + T cells for (G–J): splenic cells from OT‐1 mice were activated with ovalbumin (OVA) peptide and IL‐2 for 2 days, followed by stimulation with anti‐CD3/CD28 mAbs and IL‐2 in the presence of 40 µM DADA from day 3 to day 6. (G–J) Representative flow cytometry plots and histogram, and quantification of PD‐1 + TIM‐3 + (G), TCF1 − TIM‐3 + , TCF1 + TIM‐3 − (H), Ly108 expression (I), TNF‐α + and IFN‐γ + (J) cells among CD8 + T cells; n = 3. The experiment was repeated twice. (K) DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells were collected for RNA‐seq. Heatmap showing the expression of selected genes. (L) mRNA levels of the indicated molecules in DADA‐ or DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (M) GSEA of DADA‐ versus DMSO‐treated mouse exhausted CD8 + T cells in indicated gene sets. NES, normalized enrichment score. (N) Heatmap showing the expression of Pdk1 , Pdk2 , Pdk3 , and Pdk4 in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. (O) Mouse Pdk1 knockout CD8 + T cells induced to exhaustion subjected to DADA treatment were collected. Quantification of TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + , IFN‐γ + and GZMB + cells among CD8 + T cells; n = 3. Data are presented as mean ± SD and are analyzed by unpaired t test (B‐E, G‐J, and L) and two‐way ANOVA (O); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Article Snippet: For isolation of mouse CD8 + T cells, cells were purified from splenic lymphocytes using through magnetic activated cell sorting (MACS) using the Mouse CD8 + T Lymphocyte Negative Selection Kit (Cat#130‐104‐075, Miltenyi Biotec, USA).

    Techniques: Purification, Flow Cytometry, Expressing, RNA Sequencing, Knock-Out

    DADA enhances CD8 + T cell stemness by triggering OXPHOS. (A) Acetyl‐CoA contents in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (B) Top 10 pathways upregulated in DADA‐ versus DMSO‐treated exhausted CD8 + T cells. (C) GSEA of DADA‐ versus DMSO‐treated mouse exhausted CD8 + T cells in indicated gene sets. (D) mRNA levels of the indicated molecules in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (E) OCR of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. Oligo, oligomycin; FCCP, carbonyl cyanide p‐trifluoromethoxyphenylhydrazone; R+A, rotenone and antimycin A; n = 3. The experiment was repeated twice. (F) Extracellular acidification rate (ECAR) of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. Glu, glucose; Oligo, oligomycin; 2‐DG, 2‐deoxyglucose; n = 3. The experiment was repeated twice. (G) The mitochondrial membrane potential (TMRM staining), mitochondrial mass (MitoTracker Deep Red) and mitochondrial superoxide (MitoSox Red) of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells were measured. Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in CD8 + T cells; n = 3. The experiment was repeated three times. (H) Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in DADA‐ and DMSO‐treated mouse exhausted OT‐1 CD8 + T cells; n = 3. The experiment was repeated three times. (I) Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in DADA‐ and DMSO‐treated human exhausted CD8 + T cells; n = 3. The experiment was repeated three times. (J) Mouse exhausted CD8 + T cells subjected to DADA and Oligomycin (1 µM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. (K) Mouse exhausted CD8 + T cells subjected to DADA and Acetyl‐CoA (2 mM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. (L) Mouse exhausted CD8 + T cells subjected to DADA and UK5099 (20 µM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. Data are presented as mean ± SD and are analyzed by unpaired t test (A, D, and E–H), paired t test (I) and two‐way ANOVA (J–L); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Journal: Advanced Science

    Article Title: DADA Enhances CD8 + T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

    doi: 10.1002/advs.202519765

    Figure Lengend Snippet: DADA enhances CD8 + T cell stemness by triggering OXPHOS. (A) Acetyl‐CoA contents in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (B) Top 10 pathways upregulated in DADA‐ versus DMSO‐treated exhausted CD8 + T cells. (C) GSEA of DADA‐ versus DMSO‐treated mouse exhausted CD8 + T cells in indicated gene sets. (D) mRNA levels of the indicated molecules in DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells; n = 3. The experiment was repeated twice. (E) OCR of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. Oligo, oligomycin; FCCP, carbonyl cyanide p‐trifluoromethoxyphenylhydrazone; R+A, rotenone and antimycin A; n = 3. The experiment was repeated twice. (F) Extracellular acidification rate (ECAR) of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells. Glu, glucose; Oligo, oligomycin; 2‐DG, 2‐deoxyglucose; n = 3. The experiment was repeated twice. (G) The mitochondrial membrane potential (TMRM staining), mitochondrial mass (MitoTracker Deep Red) and mitochondrial superoxide (MitoSox Red) of DADA‐ and DMSO‐treated mouse exhausted CD8 + T cells were measured. Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in CD8 + T cells; n = 3. The experiment was repeated three times. (H) Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in DADA‐ and DMSO‐treated mouse exhausted OT‐1 CD8 + T cells; n = 3. The experiment was repeated three times. (I) Representative histograms and quantification of TMRM, MitoTracker, and MitoSox in DADA‐ and DMSO‐treated human exhausted CD8 + T cells; n = 3. The experiment was repeated three times. (J) Mouse exhausted CD8 + T cells subjected to DADA and Oligomycin (1 µM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. (K) Mouse exhausted CD8 + T cells subjected to DADA and Acetyl‐CoA (2 mM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. (L) Mouse exhausted CD8 + T cells subjected to DADA and UK5099 (20 µM) combined treatment or single treatment were collected. Quantification of PD‐1 + TIM‐3 + , TCF1 − TIM‐3 + , TCF1 + TIM‐3 − , Ly108 expression, TNF‐α + and IFN‐γ + cells among CD8 + T cells; n = 3. The experiment was repeated twice. Data are presented as mean ± SD and are analyzed by unpaired t test (A, D, and E–H), paired t test (I) and two‐way ANOVA (J–L); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Article Snippet: For isolation of mouse CD8 + T cells, cells were purified from splenic lymphocytes using through magnetic activated cell sorting (MACS) using the Mouse CD8 + T Lymphocyte Negative Selection Kit (Cat#130‐104‐075, Miltenyi Biotec, USA).

    Techniques: Membrane, Staining, Expressing

    DADA improves the efficacy of ACT and ICB immunotherapies. (A) Schematic experimental procedure in (B–F): CTV‐labeled OT‐1 cells, which had undergone an initial activation with OVA peptide for 2 days and subsequent stimulation with anti‐CD3/CD28 mAbs and IL‐2 in the presence of DADA for 4 days, were transferred into MC38‐OVA tumor‐bearing mice. (B–D) Tumor growth curves (B), images of tumors (C), and tumor weights (D) at 15 days after MC38‐OVA inoculation; n = 6. (E,F) Quantification of transferred OT‐1 CD8 + T (E), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, TNF‐α + CD8 + T, and GZMB + CD8 + T (F) cells from tumor; n = 6. (G) Schematic experimental procedure in (H–L): WT mice were fed with DADA‐containing or normal water from day ‐14 until day 0, and were injected (s.c.) with MC38 cells on day 0. Anti‐PD‐1 mAb were injected (i.p.) on day 9, 12 and 15. (H–J) Tumor growth curves (H), images of tumors (I), and tumor weights (J) at 15 days after MC38 inoculation; n = 7. The experiment was repeated three times. (K,L) Quantification of CD8 + T (K), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, TNF‐α + CD8 + T, and GZMB + CD8 + T (L) cells from tumor; n = 7. The experiment was repeated three times. (M) Schematic experimental procedure in (N–R): WT mice were fed with DADA‐containing or normal water from day ‐14 until day 0, and were injected (s.c.) with B16‐F10 cells on day 0. Anti‐PD‐1 mAb were injected (i.p.) on day 9, 12 and 15. (N‐P) Tumor growth curves (N), images of tumors (O), and tumor weights (P) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated three times. (Q,R) Quantification of CD8 + T (Q), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, and TNF‐α + CD8 + T (R)cells from tumor; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, H, and N), unpaired t test (D–F), and one‐way ANOVA (J–L, and P‐R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Journal: Advanced Science

    Article Title: DADA Enhances CD8 + T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

    doi: 10.1002/advs.202519765

    Figure Lengend Snippet: DADA improves the efficacy of ACT and ICB immunotherapies. (A) Schematic experimental procedure in (B–F): CTV‐labeled OT‐1 cells, which had undergone an initial activation with OVA peptide for 2 days and subsequent stimulation with anti‐CD3/CD28 mAbs and IL‐2 in the presence of DADA for 4 days, were transferred into MC38‐OVA tumor‐bearing mice. (B–D) Tumor growth curves (B), images of tumors (C), and tumor weights (D) at 15 days after MC38‐OVA inoculation; n = 6. (E,F) Quantification of transferred OT‐1 CD8 + T (E), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, TNF‐α + CD8 + T, and GZMB + CD8 + T (F) cells from tumor; n = 6. (G) Schematic experimental procedure in (H–L): WT mice were fed with DADA‐containing or normal water from day ‐14 until day 0, and were injected (s.c.) with MC38 cells on day 0. Anti‐PD‐1 mAb were injected (i.p.) on day 9, 12 and 15. (H–J) Tumor growth curves (H), images of tumors (I), and tumor weights (J) at 15 days after MC38 inoculation; n = 7. The experiment was repeated three times. (K,L) Quantification of CD8 + T (K), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, TNF‐α + CD8 + T, and GZMB + CD8 + T (L) cells from tumor; n = 7. The experiment was repeated three times. (M) Schematic experimental procedure in (N–R): WT mice were fed with DADA‐containing or normal water from day ‐14 until day 0, and were injected (s.c.) with B16‐F10 cells on day 0. Anti‐PD‐1 mAb were injected (i.p.) on day 9, 12 and 15. (N‐P) Tumor growth curves (N), images of tumors (O), and tumor weights (P) at 17 days after B16‐F10 inoculation; n = 7. The experiment was repeated three times. (Q,R) Quantification of CD8 + T (Q), Ki67 + CD8 + T, PD‐1 + TIM‐3 + CD8 + T, TCF1 − TIM‐3 + CD8 + T, TCF1 + TIM‐3 − CD8 + T, IFN‐γ + CD8 + T, and TNF‐α + CD8 + T (R)cells from tumor; n = 7. The experiment was repeated three times. Data are presented as mean ± SD and are analyzed by two‐way ANOVA (B, H, and N), unpaired t test (D–F), and one‐way ANOVA (J–L, and P‐R); * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. ns, not significant.

    Article Snippet: For isolation of mouse CD8 + T cells, cells were purified from splenic lymphocytes using through magnetic activated cell sorting (MACS) using the Mouse CD8 + T Lymphocyte Negative Selection Kit (Cat#130‐104‐075, Miltenyi Biotec, USA).

    Techniques: Labeling, Activation Assay, Injection

    Flow cytometric analysis of Treg purity and CD25 expression. The cytograms show, in the upper line, CD4 vs. dump channel markers (dead cell dye, CD14/CD16/CD19/CD8), and, in the lower line, CD25 vs. FOXP3 expression in gated CD4 T-cells. Right, histogram overlay of CD25 expression in the indicated cell subsets; numbers shown the geometric mean fluorescence intensity.

    Journal: Journal of Clinical Medicine

    Article Title: Validation of a Ready-to-Use Lyophilized Kit for Labeling IL2 with 68 Ga: A New Avenue for Imaging Activated T-lymphocytes in Tumor Microenvironment

    doi: 10.3390/jcm14165658

    Figure Lengend Snippet: Flow cytometric analysis of Treg purity and CD25 expression. The cytograms show, in the upper line, CD4 vs. dump channel markers (dead cell dye, CD14/CD16/CD19/CD8), and, in the lower line, CD25 vs. FOXP3 expression in gated CD4 T-cells. Right, histogram overlay of CD25 expression in the indicated cell subsets; numbers shown the geometric mean fluorescence intensity.

    Article Snippet: - CD8+ T-lymphocytes were isolated using the CD8+ T Cell Isolation Kit, human 130-096-495 for 10 9 total cells (Miltenyi Biotec).

    Techniques: Expressing, Fluorescence