anti mouse cd8a antibody Search Results


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Miltenyi Biotec cd8 fitc
Cd8 Fitc, supplied by Miltenyi Biotec, 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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Guangzhou JET Bio-Filtration pe anti-mouse cd8a antibody
Pe Anti Mouse Cd8a Antibody, supplied by Guangzhou JET Bio-Filtration, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Anti Mouse Cd8a Pe, supplied by Elabscience Biotechnology, 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 anti mouse cd8 apc vio770 antibody
a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + <t>CD8</t> + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.
Anti Mouse Cd8 Apc Vio770 Antibody, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology cd8
PGE2 upregulates PD-L1 expression in NSCLC and promotes immune escape response. (a-c) PD-L1 expression detected after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (d and e) Cytotoxicity tested by LDH kit assay after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (f and g) <t>CD8</t> + T cell viability tested after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (h and i) CD8 + T cell apoptosis examined after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (j-m) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). n = 6; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, LDH: Lactate dehydrogenase, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.
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Elabscience Biotechnology fluorescein isothiocyanate fitc anti mouse cd8
PGE2 upregulates PD-L1 expression in NSCLC and promotes immune escape response. (a-c) PD-L1 expression detected after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (d and e) Cytotoxicity tested by LDH kit assay after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (f and g) <t>CD8</t> + T cell viability tested after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (h and i) CD8 + T cell apoptosis examined after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (j-m) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). n = 6; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, LDH: Lactate dehydrogenase, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.
Fluorescein Isothiocyanate Fitc Anti Mouse Cd8, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology anti mouse cd8a apc
PGE2 upregulates PD-L1 expression in NSCLC and promotes immune escape response. (a-c) PD-L1 expression detected after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (d and e) Cytotoxicity tested by LDH kit assay after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (f and g) <t>CD8</t> + T cell viability tested after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (h and i) CD8 + T cell apoptosis examined after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (j-m) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). n = 6; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, LDH: Lactate dehydrogenase, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.
Anti Mouse Cd8a Apc, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology percp cyanine5 5 anti mouse cd8a antibody
CTDnps vaccine elicited robust antibody and T cell responses in mice. ( A ) Schematic diagram of the mice immunization procedure. Five mice per group received prime/boost vaccination with various vaccines at Weeks 0 and 4. Serum samples were collected every 2 weeks. ( B ) Titers of antigen-specific IgG antibodies were measured in serum samples by iELISA. ( C ) Titers of NAbs were measured in serum samples from mice at Week 8 by VNT. ( D ) Titers of antigen-specific IgG1 and IgG2a for each immunization group. Serum samples from mice at Week 8 were tested. IL-4 ( E ) and IFN-γ ( F ) concentrations were measured by double-antibody sandwich ELISA. ( G, H ) The percentage of CD3 + CD4 + and CD3 + <t>CD8</t> + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( I ) The percentage of CD4 + α4β7 + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( J, K ) The percentage of CD4 + and CD8 + Tcm among spleen lymphocytes was determined by flow cytometry. Data are mean ± SD. Asterisks indicate significant differences (*, P < 0.05; **, P < 0.01; ***, P < 0.001; and ns, P > 0.05).
Percp Cyanine5 5 Anti Mouse Cd8a Antibody, supplied by Elabscience Biotechnology, 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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Elabscience Biotechnology cd8a bv570
A A total of 2.5 × 10 5 CT26 cells were subcutaneously injected into the left legs of BALB/c mice for 4 days and then intraperitoneally administered anti-ENO1 antibodies (HuL001, 20 mg/kg) five times at three-day intervals. Local radiotherapy was given on Day 10. The tumor volume was recorded every three days. * p < 0.05 and ** p < 0.01. Two-Way ANOVA test ( n = 4). B The resected tumors were weighed on Day 30. * p < 0.05 and *** p < 0.001. One-Way ANOVA test ( n = 3). C The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. D The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). E The mRNA levels of Cd86 and Cd163 in resected tumors were analyzed by qRT‒PCR ( n = 3). * p < 0.05, ** p < 0.01 and *** p < 0.001. One-Way ANOVA test ( n = 3). F The frequencies of M1 (CD11c + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) and M2 (CD206 + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) tumor-infiltrating macrophages were analyzed by flow cytometry ( n = 3-4). * p < 0.05 and *** p < 0.001. One-Way ANOVA test. G The quantification of the M1/M2 ratio is shown ( n = 3). * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). H The frequencies of CD4 (CD4 + CD3 + CD45 + 7AAD - ) and <t>CD8</t> (CD8 + CD3 + CD45 + 7AAD - ) tumor-infiltrating T cells were analyzed by flow cytometry ( n = 3-4). * p < 0.05. One-Way ANOVA test. I The quantification of CD8 + TILs is shown. * p < 0.05. One-Way ANOVA test ( n = 3). J The frequency of regulatory CD4 T cells (CD25 + CD127 - CD4 + CD3 + CD45 + 7AAD - ) was analyzed by flow cytometry ( n = 3-4). K The quantification of the CD8/Treg ratio is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). L The densities of dendritic cells (CD11c + ) and cytotoxic T cells (CD8 + ) in resected tumors were analyzed by immunofluorescence staining. The density of CD11c + DCs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). M The density of CD8 + TILs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3).
Cd8a Bv570, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology cd8a pc5 5
IDR and FI modulated changes in immune cell infiltration caused by COPD. Flow cytometric analysis of (A) CD4 + T lymphocytes, (B) <t>CD8</t> + T lymphocytes, (C) Treg cells, (D) MDSCs, (E) B lymphocytes, (F) NK cells, and (G) Eos. Proportion of (H) CD4 + T lymphocytes, (I) CD8 + T lymphocytes. (J) CD4/CD8 index. Proportion of (K) Treg cells, (L) MDSCs, (M) B lymphocytes, (N) NK cells, and (O) Eos. Data were expressed as mean ± SD, ### p < 0.001 vs. CON group, * p < 0.05, ** p < 0.01, and *** p < 0.001 vs. MOD group ( n = 3).
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Image Search Results


a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Expressing, Staining, Two Tailed Test, Cell Counting, Flow Cytometry

a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Cell Culture, Flow Cytometry, Expressing, Two Tailed Test, RNA Sequencing

a RT-qPCR analysis assessing IFNG expression in T/NK cells in an epigenetic-drug screening. Both T cells and NK cells were cultured under 1% O 2 with indicated treatments. Data were presented as the log2 fold change of IFNG mRNA level normalized to vehicle control, mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). b , c Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells ( b n = 4) and NK cells ( c n = 3) with indicated treatments. Quantification data were presented as the mean ± SD of samples from three to four donors. P values were determined by two-way ANOVA with Turkey’s test. d ChIP-qPCR analysis of HDAC1, HDAC2, HDAC3, EZH2, and SUZ12 occupancy on IFNG promoter of human T cells. Four primers were designed to span the promoters of IFNG , with P1 at −1448 to −1354b, P2 at −707 to −628b, P3 at −257 to −171b, P4 at +350 to +461b, relative to TSS. For ChIP analysis of EZH2 and SUZ12 occupancy, RPL30 serves as the negative control and CCND2 as the positive control. e , f ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter of human T cells under indicated conditions. All ChIP-qPCR data ( d – f ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of d , e , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( RPL30 and CCND2 excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. g RT-qPCR analysis of human T cell with indicated gene knockdown. Data were presented as the fold change of mRNA level normalized to the control group under normoxia (1% O2), mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). Source data are provided as a source data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a RT-qPCR analysis assessing IFNG expression in T/NK cells in an epigenetic-drug screening. Both T cells and NK cells were cultured under 1% O 2 with indicated treatments. Data were presented as the log2 fold change of IFNG mRNA level normalized to vehicle control, mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). b , c Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells ( b n = 4) and NK cells ( c n = 3) with indicated treatments. Quantification data were presented as the mean ± SD of samples from three to four donors. P values were determined by two-way ANOVA with Turkey’s test. d ChIP-qPCR analysis of HDAC1, HDAC2, HDAC3, EZH2, and SUZ12 occupancy on IFNG promoter of human T cells. Four primers were designed to span the promoters of IFNG , with P1 at −1448 to −1354b, P2 at −707 to −628b, P3 at −257 to −171b, P4 at +350 to +461b, relative to TSS. For ChIP analysis of EZH2 and SUZ12 occupancy, RPL30 serves as the negative control and CCND2 as the positive control. e , f ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter of human T cells under indicated conditions. All ChIP-qPCR data ( d – f ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of d , e , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( RPL30 and CCND2 excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. g RT-qPCR analysis of human T cell with indicated gene knockdown. Data were presented as the fold change of mRNA level normalized to the control group under normoxia (1% O2), mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Quantitative RT-PCR, Expressing, Drug discovery, Cell Culture, Control, ChIP-qPCR, Negative Control, Positive Control, Knockdown

a ChIP-qPCR analysis of HIF1α and HIF2α occupancy on IFNG promoter in human T cells. VEGFA served as a positive control. b Co-immunoprecipitation shows the physical interaction between HDAC1 and HIF1α, and the interaction between HDAC1 and SUZ12 in human T cells. Data is representative of two independent experiments ( n = 2). c Representative western blot images ( n = 2) to demonstrate knockdown of HIF1α in human T cells. d ChIP-qPCR analysis of HDAC1 occupancy on IFNG promoter in human T cells. e ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter in human T cells with indicated treatments. All ChIP-qPCR data ( a , d , e ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of a , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( VEGFA excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. f Flow cytometric quantifications of IFNγ in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions. Data were presented as the mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Turkey’s test. g Representative western blot images ( n = 2) to demonstrate the inhibition of HIF1α level by indicated compounds in human T cells. h Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells with indicated treatments. Quantification data were presented as the mean ± SD of samples from four donors ( n = 4). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a ChIP-qPCR analysis of HIF1α and HIF2α occupancy on IFNG promoter in human T cells. VEGFA served as a positive control. b Co-immunoprecipitation shows the physical interaction between HDAC1 and HIF1α, and the interaction between HDAC1 and SUZ12 in human T cells. Data is representative of two independent experiments ( n = 2). c Representative western blot images ( n = 2) to demonstrate knockdown of HIF1α in human T cells. d ChIP-qPCR analysis of HDAC1 occupancy on IFNG promoter in human T cells. e ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter in human T cells with indicated treatments. All ChIP-qPCR data ( a , d , e ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of a , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( VEGFA excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. f Flow cytometric quantifications of IFNγ in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions. Data were presented as the mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Turkey’s test. g Representative western blot images ( n = 2) to demonstrate the inhibition of HIF1α level by indicated compounds in human T cells. h Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells with indicated treatments. Quantification data were presented as the mean ± SD of samples from four donors ( n = 4). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: ChIP-qPCR, Positive Control, Immunoprecipitation, Western Blot, Knockdown, Cell Culture, Inhibition, Expressing

a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Lysis, Western Blot, Cell Culture

a Schematic diagram showing the establishment of humanized mice (humice) with human immune system reconstituted in NIKO mice. The presence of human CD45 + cells, NK cells, CD4 + and CD8 + T cells in the mice’s peripheral system was validated by flow cytometry. b Primary LM2 tumor size in humice (control, n = 14; Keytruda, n = 14; ENT, n = 12; PX478, n = 14; ENT + Keytruda, n = 16; PX478 + Keytruda, n = 16) and NIKO mice (control, n = 10; ENT + Keytruda, n = 10; PX478 + Keytruda, n = 10), at Day 21 of treatments. c Lung metastasis of humice (control, n = 6; Keytruda, n = 6; ENT, n = 6; PX478, n = 6; ENT + Keytruda, n = 7; PX478 + Keytruda, n = 7) and NIKO mice (control, n = 5; ENT + Keytruda, n = 5; PX478 + Keytruda, n = 5) bearing LM2 tumors at Day 35 assessed by bioluminescence (BLI) measurement. d Representative bioluminescence (BLI) images showing the lung metastasis of humice and NIKO mice. e Flow cytometric analysis of LM2 tumors harvested from humanized mice. IFNγ, TNFα, and granzyme B expression was examined in tumor-infiltrating human CD8 + T cells and NK cells. N = 5 for each group. f Flow cytometry analysis of LM2 tumors harvested from humanized mice. Expressions of human PD-L1 and PD-L2 were examined in total living cells dissociated from LM2 tumors. N = 5 for each group. Quantification data of flow cytometry ( e , f ) are presented as a box and whiskers, with median values and whiskers of minimum and maximum values. Data for b and c were presented as mean ± SD . P values were determined by one-way ( e , f ) or two-way ( b , c ) ANOVA with Turkey’s test. Source data are provided as a source data file.

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Schematic diagram showing the establishment of humanized mice (humice) with human immune system reconstituted in NIKO mice. The presence of human CD45 + cells, NK cells, CD4 + and CD8 + T cells in the mice’s peripheral system was validated by flow cytometry. b Primary LM2 tumor size in humice (control, n = 14; Keytruda, n = 14; ENT, n = 12; PX478, n = 14; ENT + Keytruda, n = 16; PX478 + Keytruda, n = 16) and NIKO mice (control, n = 10; ENT + Keytruda, n = 10; PX478 + Keytruda, n = 10), at Day 21 of treatments. c Lung metastasis of humice (control, n = 6; Keytruda, n = 6; ENT, n = 6; PX478, n = 6; ENT + Keytruda, n = 7; PX478 + Keytruda, n = 7) and NIKO mice (control, n = 5; ENT + Keytruda, n = 5; PX478 + Keytruda, n = 5) bearing LM2 tumors at Day 35 assessed by bioluminescence (BLI) measurement. d Representative bioluminescence (BLI) images showing the lung metastasis of humice and NIKO mice. e Flow cytometric analysis of LM2 tumors harvested from humanized mice. IFNγ, TNFα, and granzyme B expression was examined in tumor-infiltrating human CD8 + T cells and NK cells. N = 5 for each group. f Flow cytometry analysis of LM2 tumors harvested from humanized mice. Expressions of human PD-L1 and PD-L2 were examined in total living cells dissociated from LM2 tumors. N = 5 for each group. Quantification data of flow cytometry ( e , f ) are presented as a box and whiskers, with median values and whiskers of minimum and maximum values. Data for b and c were presented as mean ± SD . P values were determined by one-way ( e , f ) or two-way ( b , c ) ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Flow Cytometry, Control, Expressing

PGE2 upregulates PD-L1 expression in NSCLC and promotes immune escape response. (a-c) PD-L1 expression detected after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (d and e) Cytotoxicity tested by LDH kit assay after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (f and g) CD8 + T cell viability tested after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (h and i) CD8 + T cell apoptosis examined after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (j-m) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). n = 6; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, LDH: Lactate dehydrogenase, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.

Journal: CytoJournal

Article Title: The mechanism of prostaglandin E2 upregulation of programmed death ligand 1 expression promoting immune escape in non-small cell lung cancer

doi: 10.25259/Cytojournal_129_2025

Figure Lengend Snippet: PGE2 upregulates PD-L1 expression in NSCLC and promotes immune escape response. (a-c) PD-L1 expression detected after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (d and e) Cytotoxicity tested by LDH kit assay after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (f and g) CD8 + T cell viability tested after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (h and i) CD8 + T cell apoptosis examined after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). (j-m) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression (OE-PTGES) and knockdown (sh-PTGES), compared with respective negative controls (OE-NC or sh-NC). n = 6; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, LDH: Lactate dehydrogenase, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.

Article Snippet: First, a single-cell suspension was prepared and incubated with CD3 (E-AB-F1013E, Elabscience, Wuhan, China) and CD8 (E-AB-F1104Q, Elabscience, Wuhan, China) antibodies in the dark.

Techniques: Expressing, Over Expression, Knockdown, Enzyme-linked Immunosorbent Assay, Negative Control

PGE2 promotes immune escape in NSCLC in vivo by upregulating PD-L1 expression. (a) Isolated tumor images after PTGES overexpression and knockout. (b and c) Changes in tumor weight and volume after PTGES overexpression and knockout (significant difference markers marked with ✶ represent OE-NC versus OE-PTGES, and those marked with # represent sh-NC vs. sh-PTGES). (d-f) WB analysis of PTGES and PD-L1 after PTGES overexpression and knockout in vivo . (g and h) IHC analysis of CD8 after PTGES overexpression and knockout in vivo (scale bar: 20 μm, magnification, 400×). (i-l) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression and knockout in vivo . n = 5; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001, ## P < 0.01. OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IHC: Immunohistochemistry, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.

Journal: CytoJournal

Article Title: The mechanism of prostaglandin E2 upregulation of programmed death ligand 1 expression promoting immune escape in non-small cell lung cancer

doi: 10.25259/Cytojournal_129_2025

Figure Lengend Snippet: PGE2 promotes immune escape in NSCLC in vivo by upregulating PD-L1 expression. (a) Isolated tumor images after PTGES overexpression and knockout. (b and c) Changes in tumor weight and volume after PTGES overexpression and knockout (significant difference markers marked with ✶ represent OE-NC versus OE-PTGES, and those marked with # represent sh-NC vs. sh-PTGES). (d-f) WB analysis of PTGES and PD-L1 after PTGES overexpression and knockout in vivo . (g and h) IHC analysis of CD8 after PTGES overexpression and knockout in vivo (scale bar: 20 μm, magnification, 400×). (i-l) IFN-γ, TNF-α, granzyme B, and perforin quantification by ELISA after PTGES overexpression and knockout in vivo . n = 5; ✶ P < 0.05, ✶ ✶ P < 0.01, ✶ ✶ ✶ P < 0.001, ## P < 0.01. OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control. PEG2: Prostaglandin E2, PD-L1: Programmed death ligand 1, NSCLC: Non-small cell lung cancer, PTGES: Prostaglandin E synthase, OE-NC: Overexpression negative control, sh-NC: Short hairpin negative control, OE-PTGES: Overexpression prostaglandin E synthase, sh-PTGES: Short hairpin prostaglandin E synthase, IHC: Immunohistochemistry, IFN-γ: Interferon-gamma, TNF-α: Tumor necrosis factor-alpha, ELISA: Enzyme-linked immunosorbent assay.

Article Snippet: First, a single-cell suspension was prepared and incubated with CD3 (E-AB-F1013E, Elabscience, Wuhan, China) and CD8 (E-AB-F1104Q, Elabscience, Wuhan, China) antibodies in the dark.

Techniques: In Vivo, Expressing, Isolation, Over Expression, Knock-Out, Enzyme-linked Immunosorbent Assay, Negative Control, Immunohistochemistry

CTDnps vaccine elicited robust antibody and T cell responses in mice. ( A ) Schematic diagram of the mice immunization procedure. Five mice per group received prime/boost vaccination with various vaccines at Weeks 0 and 4. Serum samples were collected every 2 weeks. ( B ) Titers of antigen-specific IgG antibodies were measured in serum samples by iELISA. ( C ) Titers of NAbs were measured in serum samples from mice at Week 8 by VNT. ( D ) Titers of antigen-specific IgG1 and IgG2a for each immunization group. Serum samples from mice at Week 8 were tested. IL-4 ( E ) and IFN-γ ( F ) concentrations were measured by double-antibody sandwich ELISA. ( G, H ) The percentage of CD3 + CD4 + and CD3 + CD8 + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( I ) The percentage of CD4 + α4β7 + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( J, K ) The percentage of CD4 + and CD8 + Tcm among spleen lymphocytes was determined by flow cytometry. Data are mean ± SD. Asterisks indicate significant differences (*, P < 0.05; **, P < 0.01; ***, P < 0.001; and ns, P > 0.05).

Journal: Journal of Virology

Article Title: A novel nanoparticle vaccine, based on S1-CTD, elicits robust protective immune responses against porcine deltacoronavirus

doi: 10.1128/jvi.00674-25

Figure Lengend Snippet: CTDnps vaccine elicited robust antibody and T cell responses in mice. ( A ) Schematic diagram of the mice immunization procedure. Five mice per group received prime/boost vaccination with various vaccines at Weeks 0 and 4. Serum samples were collected every 2 weeks. ( B ) Titers of antigen-specific IgG antibodies were measured in serum samples by iELISA. ( C ) Titers of NAbs were measured in serum samples from mice at Week 8 by VNT. ( D ) Titers of antigen-specific IgG1 and IgG2a for each immunization group. Serum samples from mice at Week 8 were tested. IL-4 ( E ) and IFN-γ ( F ) concentrations were measured by double-antibody sandwich ELISA. ( G, H ) The percentage of CD3 + CD4 + and CD3 + CD8 + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( I ) The percentage of CD4 + α4β7 + T lymphocytes among spleen lymphocytes was determined by flow cytometry. ( J, K ) The percentage of CD4 + and CD8 + Tcm among spleen lymphocytes was determined by flow cytometry. Data are mean ± SD. Asterisks indicate significant differences (*, P < 0.05; **, P < 0.01; ***, P < 0.001; and ns, P > 0.05).

Article Snippet: At week 8, spleen lymphocytes of mice were isolated, cell concentration was adjusted to 1 × 10 7 cells/mL, and 10 μL of FITC anti-mouse CD3 antibody, 10 μL of Violet 450 anti-mouse CD4 antibody, and 10 μL of PerCP/Cyanine5.5 anti-mouse CD8a antibody (Elabscience, Wuhan, China) were added to 200 μL of splenocytes for analysis of CD4 + and CD8 + T cells.

Techniques: Vaccines, Sandwich ELISA, Flow Cytometry

A A total of 2.5 × 10 5 CT26 cells were subcutaneously injected into the left legs of BALB/c mice for 4 days and then intraperitoneally administered anti-ENO1 antibodies (HuL001, 20 mg/kg) five times at three-day intervals. Local radiotherapy was given on Day 10. The tumor volume was recorded every three days. * p < 0.05 and ** p < 0.01. Two-Way ANOVA test ( n = 4). B The resected tumors were weighed on Day 30. * p < 0.05 and *** p < 0.001. One-Way ANOVA test ( n = 3). C The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. D The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). E The mRNA levels of Cd86 and Cd163 in resected tumors were analyzed by qRT‒PCR ( n = 3). * p < 0.05, ** p < 0.01 and *** p < 0.001. One-Way ANOVA test ( n = 3). F The frequencies of M1 (CD11c + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) and M2 (CD206 + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) tumor-infiltrating macrophages were analyzed by flow cytometry ( n = 3-4). * p < 0.05 and *** p < 0.001. One-Way ANOVA test. G The quantification of the M1/M2 ratio is shown ( n = 3). * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). H The frequencies of CD4 (CD4 + CD3 + CD45 + 7AAD - ) and CD8 (CD8 + CD3 + CD45 + 7AAD - ) tumor-infiltrating T cells were analyzed by flow cytometry ( n = 3-4). * p < 0.05. One-Way ANOVA test. I The quantification of CD8 + TILs is shown. * p < 0.05. One-Way ANOVA test ( n = 3). J The frequency of regulatory CD4 T cells (CD25 + CD127 - CD4 + CD3 + CD45 + 7AAD - ) was analyzed by flow cytometry ( n = 3-4). K The quantification of the CD8/Treg ratio is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). L The densities of dendritic cells (CD11c + ) and cytotoxic T cells (CD8 + ) in resected tumors were analyzed by immunofluorescence staining. The density of CD11c + DCs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). M The density of CD8 + TILs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3).

Journal: Cell Death & Disease

Article Title: Targeting ENO1 reprograms macrophage polarization to trigger antitumor immunity and improves the therapeutic effect of radiotherapy

doi: 10.1038/s41419-026-08416-7

Figure Lengend Snippet: A A total of 2.5 × 10 5 CT26 cells were subcutaneously injected into the left legs of BALB/c mice for 4 days and then intraperitoneally administered anti-ENO1 antibodies (HuL001, 20 mg/kg) five times at three-day intervals. Local radiotherapy was given on Day 10. The tumor volume was recorded every three days. * p < 0.05 and ** p < 0.01. Two-Way ANOVA test ( n = 4). B The resected tumors were weighed on Day 30. * p < 0.05 and *** p < 0.001. One-Way ANOVA test ( n = 3). C The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. D The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). E The mRNA levels of Cd86 and Cd163 in resected tumors were analyzed by qRT‒PCR ( n = 3). * p < 0.05, ** p < 0.01 and *** p < 0.001. One-Way ANOVA test ( n = 3). F The frequencies of M1 (CD11c + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) and M2 (CD206 + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) tumor-infiltrating macrophages were analyzed by flow cytometry ( n = 3-4). * p < 0.05 and *** p < 0.001. One-Way ANOVA test. G The quantification of the M1/M2 ratio is shown ( n = 3). * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). H The frequencies of CD4 (CD4 + CD3 + CD45 + 7AAD - ) and CD8 (CD8 + CD3 + CD45 + 7AAD - ) tumor-infiltrating T cells were analyzed by flow cytometry ( n = 3-4). * p < 0.05. One-Way ANOVA test. I The quantification of CD8 + TILs is shown. * p < 0.05. One-Way ANOVA test ( n = 3). J The frequency of regulatory CD4 T cells (CD25 + CD127 - CD4 + CD3 + CD45 + 7AAD - ) was analyzed by flow cytometry ( n = 3-4). K The quantification of the CD8/Treg ratio is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). L The densities of dendritic cells (CD11c + ) and cytotoxic T cells (CD8 + ) in resected tumors were analyzed by immunofluorescence staining. The density of CD11c + DCs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3). M The density of CD8 + TILs is shown. * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3).

Article Snippet: The cells were stained with different antibodies against combinations of surface markers: (1) CD4 and CD8 T cells: ViaDyeRed, CD45-BV785 (E-AB-F1136UD, Elabscience, Texas, USA), CD3-PE-Fir700, CD4-PE/Cy7, CD8a-BV570 (E-AB-F1104UF, Elabscience, Texas, USA), CD127-BV711, CD25, IFNγ-PE and GzmB-AF647; (2) Tumor-associated macrophages: ViaDyeRed, CD3-PE-Fir700, CD19-PE-Fir700, CD45-BV785, CD11b-BV421, F4/80-PE, CD11c-AF488, CD206-APC.

Techniques: Injection, Immunofluorescence, Staining, Flow Cytometry

A A total of 5 × 10 5 CT26 cells were subcutaneously injected into the left legs of BALB/c mice for 5 days and then intraperitoneally administered with anti-ENO1 antibodies (HuL001, 40 mg/kg) or clodronate liposomes (50 μL/mouse) on the indicated days ( n = 5). Local radiotherapy was given on Day 10. The tumor volume was recorded every three days. * p < 0.05. Two-Way ANOVA test ( n = 4). B The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05 and *** p < 0.001. One-Way ANOVA test ( n = 3). C 4T1 cells (5 ×10 4 ) were subcutaneously injected into the left legs of BALB/c mice for 4 days and then intraperitoneally administered anti-ENO1 antibodies (HuL001, 20 mg/kg) six times on the indicated days ( n = 5). Local radiotherapy was given on Days 10 and 12. The tumor volume was recorded every three days. * p < 0.05 and *** p < 0.001. Two-Way ANOVA test ( n = 4). D The resected tumors were weighed on Day 40. * p < 0.05. One-Way ANOVA test ( n = 4). E The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. F The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05. One-Way ANOVA test ( n = 3). G The frequencies of M1 (CD11c + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) and M2 (CD1206 + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) tumor-infiltrating macrophages were analyzed by flow cytometry. * p < 0.05. One-Way ANOVA test ( n = 3-4). H The quantification of the M1/M2 ratio is shown. * p < 0.05. One-Way ANOVA test ( n = 3). I A representative image of flow cytometric analysis of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells. J The frequency of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells was analyzed by flow cytometry. * p < 0.05. One-Way ANOVA test ( n = 3-4). K The density of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells is shown. * p < 0.05. One-Way ANOVA test ( n = 3-4). L The density of IFNγ + (IFNγ hi CD8 + CD3 + CD45 + 7AAD - ) T cells is shown ( n = 3-4). * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3-4). M The proposed mechanism of TGFβ1/TGFβR/Smad3/PRMT5-mediated ENO1 translocation for lactate release via MCT4.

Journal: Cell Death & Disease

Article Title: Targeting ENO1 reprograms macrophage polarization to trigger antitumor immunity and improves the therapeutic effect of radiotherapy

doi: 10.1038/s41419-026-08416-7

Figure Lengend Snippet: A A total of 5 × 10 5 CT26 cells were subcutaneously injected into the left legs of BALB/c mice for 5 days and then intraperitoneally administered with anti-ENO1 antibodies (HuL001, 40 mg/kg) or clodronate liposomes (50 μL/mouse) on the indicated days ( n = 5). Local radiotherapy was given on Day 10. The tumor volume was recorded every three days. * p < 0.05. Two-Way ANOVA test ( n = 4). B The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05 and *** p < 0.001. One-Way ANOVA test ( n = 3). C 4T1 cells (5 ×10 4 ) were subcutaneously injected into the left legs of BALB/c mice for 4 days and then intraperitoneally administered anti-ENO1 antibodies (HuL001, 20 mg/kg) six times on the indicated days ( n = 5). Local radiotherapy was given on Days 10 and 12. The tumor volume was recorded every three days. * p < 0.05 and *** p < 0.001. Two-Way ANOVA test ( n = 4). D The resected tumors were weighed on Day 40. * p < 0.05. One-Way ANOVA test ( n = 4). E The densities of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors were analyzed by immunofluorescence staining. F The quantification of M1 (CD80 + ) and M2 (CD206 + ) macrophages in resected tumors. * p < 0.05. One-Way ANOVA test ( n = 3). G The frequencies of M1 (CD11c + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) and M2 (CD1206 + CD11b + F4/80 + CD45 + 7AAD - CD3 - CD19 - ) tumor-infiltrating macrophages were analyzed by flow cytometry. * p < 0.05. One-Way ANOVA test ( n = 3-4). H The quantification of the M1/M2 ratio is shown. * p < 0.05. One-Way ANOVA test ( n = 3). I A representative image of flow cytometric analysis of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells. J The frequency of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells was analyzed by flow cytometry. * p < 0.05. One-Way ANOVA test ( n = 3-4). K The density of GzmB + (GzmB hi CD8 + CD3 + CD45 + 7AAD - ) T cells is shown. * p < 0.05. One-Way ANOVA test ( n = 3-4). L The density of IFNγ + (IFNγ hi CD8 + CD3 + CD45 + 7AAD - ) T cells is shown ( n = 3-4). * p < 0.05 and ** p < 0.01. One-Way ANOVA test ( n = 3-4). M The proposed mechanism of TGFβ1/TGFβR/Smad3/PRMT5-mediated ENO1 translocation for lactate release via MCT4.

Article Snippet: The cells were stained with different antibodies against combinations of surface markers: (1) CD4 and CD8 T cells: ViaDyeRed, CD45-BV785 (E-AB-F1136UD, Elabscience, Texas, USA), CD3-PE-Fir700, CD4-PE/Cy7, CD8a-BV570 (E-AB-F1104UF, Elabscience, Texas, USA), CD127-BV711, CD25, IFNγ-PE and GzmB-AF647; (2) Tumor-associated macrophages: ViaDyeRed, CD3-PE-Fir700, CD19-PE-Fir700, CD45-BV785, CD11b-BV421, F4/80-PE, CD11c-AF488, CD206-APC.

Techniques: Injection, Liposomes, Immunofluorescence, Staining, Flow Cytometry, Translocation Assay

IDR and FI modulated changes in immune cell infiltration caused by COPD. Flow cytometric analysis of (A) CD4 + T lymphocytes, (B) CD8 + T lymphocytes, (C) Treg cells, (D) MDSCs, (E) B lymphocytes, (F) NK cells, and (G) Eos. Proportion of (H) CD4 + T lymphocytes, (I) CD8 + T lymphocytes. (J) CD4/CD8 index. Proportion of (K) Treg cells, (L) MDSCs, (M) B lymphocytes, (N) NK cells, and (O) Eos. Data were expressed as mean ± SD, ### p < 0.001 vs. CON group, * p < 0.05, ** p < 0.01, and *** p < 0.001 vs. MOD group ( n = 3).

Journal: Frontiers in Medicine

Article Title: Analysis and prediction of immune cell infiltration characteristics in COPD: Folium isatidis and its active ingredients are able to combat lung lesions caused by COPD by correcting immune cell infiltration

doi: 10.3389/fmed.2025.1584411

Figure Lengend Snippet: IDR and FI modulated changes in immune cell infiltration caused by COPD. Flow cytometric analysis of (A) CD4 + T lymphocytes, (B) CD8 + T lymphocytes, (C) Treg cells, (D) MDSCs, (E) B lymphocytes, (F) NK cells, and (G) Eos. Proportion of (H) CD4 + T lymphocytes, (I) CD8 + T lymphocytes. (J) CD4/CD8 index. Proportion of (K) Treg cells, (L) MDSCs, (M) B lymphocytes, (N) NK cells, and (O) Eos. Data were expressed as mean ± SD, ### p < 0.001 vs. CON group, * p < 0.05, ** p < 0.01, and *** p < 0.001 vs. MOD group ( n = 3).

Article Snippet: The Anti-Mouse antibodies CD3-APC (E-AB-F1013E), CD4-FITC (E-AB-F1097C), CD8a-PC5.5 (E-AB-F1104I), CD25-PE (E-AB-F1102D), Foxp3-APC (E-AB-F1238E), CD11b-FITC (E-AB-F1081C), Ly-6G/Ly-6C-APC (E-AB-F1120E), CD19-PE (E-AB-F0986D), NK1.1-PE (E-AB-F0987D) and F4/80-APC (E-AB-F0995E) were purchased from Elabscience (Wuhan, China).

Techniques: