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Image Search Results
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)
Techniques: Expressing, Staining, Two Tailed Test, Cell Counting, Flow Cytometry
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)
Techniques: Cell Culture, Flow Cytometry, Expressing, Two Tailed Test, RNA Sequencing
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)
Techniques: Quantitative RT-PCR, Expressing, Drug discovery, Cell Culture, Control, ChIP-qPCR, Negative Control, Positive Control, Knockdown
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)
Techniques: ChIP-qPCR, Positive Control, Immunoprecipitation, Western Blot, Knockdown, Cell Culture, Inhibition, Expressing
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)
Techniques: Lysis, Western Blot, Cell Culture
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)
Techniques: Flow Cytometry, Control, Expressing
Journal: bioRxiv
Article Title: Targeting PPT1 with ezurpimtrostat sensitives liver tumor to immunotherapy by switching cold into hot microenvironments
doi: 10.1101/2023.01.18.524541
Figure Lengend Snippet: ( A ) Representative pictures illustrating CD8 + T cell population from excised liver. Quantification of CD8 + T cell population at the ( B ) intranodular and ( C ) perinodular localization. Each spot represented the mean ± standard deviation of 10 fields. *p<0.05, **p<0.01, ***p<0.001 . ( D ) Mean fluorescence intensity of IFN-γ expressed by CD3 + CD8 + lymphocytes co-cultured with cancer cell line at 0.5, 1, or 2 ratio and treated or not for 24 h by ezurpimtrostat at 0.6, 6, or 7 μM. Data represent the mean ± standard deviation. ( E ) Cell viability of cancer cells co-cultured or not with lymphocytes at 0.5, 1, or 2 ratio and treated or not for 24 h by GNS561 at 0.6, 6, or 7 μM. Data represent the mean ± standard deviation. *p<0.05 .
Article Snippet: Cells were labeled with antibodies against viability fixable dye (Miltenyi Biotec, #130-109-812), CD3 (Miltenyi Biotec, #130-113-141),
Techniques: Standard Deviation, Fluorescence, Cell Culture
Journal: Cell Reports
Article Title: CD4 + T Cells Recognize Conserved Influenza A Epitopes through Shared Patterns of V-Gene Usage and Complementary Biochemical Features
doi: 10.1016/j.celrep.2020.107885
Figure Lengend Snippet:
Article Snippet:
Techniques: Staining, Virus, Recombinant, Enzyme-linked Immunospot, Sequencing, Expressing, Plasmid Preparation, Software
Journal: Cells
Article Title: Systemic T Cell Exhaustion Dynamics Is Linked to Early High Mobility Group Box Protein 1 (HMGB1) Driven Hyper-Inflammation in a Polytrauma Rat Model
doi: 10.3390/cells10071646
Figure Lengend Snippet: Flow cytometry representative dot plots with mean cell counts ± standard deviation for ( A ) CD3 + CD4 + and CD3 + CD8 + T cells and ( B ) CD3 + γδTCR + T cell counts in blood at 1, 3 and 7 days post-trauma (dpt) in osteotomy (OST; n = 10), polytrauma (PT-C; n = 10), polytrauma + IgY (PT-IgY; n = 5 for 1 and 3 dpt; n = 4 for 7 dpt) and polytrauma + anti-HMGB1 antibody (PT-Ab HMGB1; n = 10) rats; ( C ) percent (%) CD3 + ; ( D ) % CD3 + CD4 + ; ( E ) % CD3 + CD8 + ; ( F ) % CD3 + γδTCR T cells in blood from rats with OST, PT-C, PT-IgY and PT-Ab HMGB1 at 1, 3 and 7 dpt. Naïve uninjured rats were used as baseline controls ( n = 5). The dotted line is the mean of cell counts from naïve rats. * p < 0.05 comparing OST, PT-C, PT-IgY and PT-Ab HMGB1 cohorts. The bar graphs represent mean, whereas error bars represent SEM.
Article Snippet: Antibodies used to detect T cells were anti-rat CD3 antibody (viogreen), anti-rat CD4 antibody (PE-Vio770) and
Techniques: Flow Cytometry, Standard Deviation
Journal: Cells
Article Title: Systemic T Cell Exhaustion Dynamics Is Linked to Early High Mobility Group Box Protein 1 (HMGB1) Driven Hyper-Inflammation in a Polytrauma Rat Model
doi: 10.3390/cells10071646
Figure Lengend Snippet: ( A ) Flow cytometry gating scheme to quantify CD4 + and CD8 + T cells expressing RAGE and TLR4 surface receptors in blood at 1, 3 and 7 days post-trauma (dpt) in osteotomy (OST; n = 10), polytrauma (PT-C; n = 10), polytrauma + IgY (PT-IgY; n = 5 for 1 and 3 dpt; n = 4 for 7 dpt) and polytrauma + anti-HMGB1 antibody (PT-Ab HMGB1; n = 10) rats; ( B ) mean fluorescence intensity (MFI) of CD4 + RAGE + T cells; ( C ) MFI of CD4 + TLR4 + T cells; ( D ) percent (%) of CD4 + RAGE + TLR4 + T cells in blood; ( E ) MFI of CD8 + RAGE + T cells; ( F ) MFI of CD8 + TLR4 + T cells; ( G ) % of CD8 + RAGE+TLR4+ T cells in blood. Naïve uninjured rats were used as baseline controls ( n = 5). The dotted line is an average of cell counts from naïve rats. * p < 0.05 comparing OST, PT-C, PT-IgY and PT-Ab HMGB1 cohorts. The bar graphs represent mean, whereas error bars represent SEM.
Article Snippet: Antibodies used to detect T cells were anti-rat CD3 antibody (viogreen), anti-rat CD4 antibody (PE-Vio770) and
Techniques: Flow Cytometry, Expressing, Fluorescence
Journal: Cells
Article Title: Systemic T Cell Exhaustion Dynamics Is Linked to Early High Mobility Group Box Protein 1 (HMGB1) Driven Hyper-Inflammation in a Polytrauma Rat Model
doi: 10.3390/cells10071646
Figure Lengend Snippet: Flow cytometry representative dot plots with mean cell counts ± standard deviation for ( A ) CD3 + CD4 + and CD3 + CD8 + T cells; ( B ) CD3 + γδTCR + T cell counts; ( C ) CD3 − CD45 + leukocytes in blood at 1, 3 and 7 days post-trauma (dpt) in osteotomy (OST; n = 10), polytrauma (PT-C; n = 10), polytrauma + IgY (PT-IgY; n = 5 for 1 and 3 dpt; n = 4 for 7 dpt) and polytrauma + anti-HMGB1 antibody (PT-Ab HMGB1; n = 10) rats; ( D ) percentage (%) CD3 + T cells; ( E ) % CD3 + CD4 + T cells; ( F ) % CD3 + CD8 + T cells; ( G ) % CD3 + γδTCR T cells; and ( H ) % CD3 − CD45 + leukocytes in blood from rats with OST, PT-C, PT-IgY and PT-Ab HMGB1 at 1, 3 and 7 dpt. Naïve uninjured rats were used as baseline controls ( n = 5). The dotted line is the mean of cell counts from naïve rats. * p < 0.05 comparing OST, PT-C, PT-IgY and PT-Ab HMGB1 cohorts. The bar graphs represent mean, whereas error bars represent SEM.
Article Snippet: Antibodies used to detect T cells were anti-rat CD3 antibody (viogreen), anti-rat CD4 antibody (PE-Vio770) and
Techniques: Flow Cytometry, Standard Deviation