mouse cd8a Search Results


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Miltenyi Biotec cd8a ly 2 microbeads
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
Cd8a Ly 2 Microbeads, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cytek Biosciences rat anti mouse cd8a biotin
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
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Biogems International pe cd8a
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
Pe Cd8a, supplied by Biogems International, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec magnetic purification kit
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
Magnetic Purification Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cedarlane anti mouse cd8
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
Anti Mouse Cd8, supplied by Cedarlane, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology anti mouse cd8a pe
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
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 cd8 fitc
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
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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Miltenyi Biotec mouse naïve cd8a t cell isolation kit
scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, <t>CD8</t> + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.
Mouse Naïve Cd8a T Cell Isolation Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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93
Proteintech apc coupled cd8a antibody
A IOD of ACAT2 expression in CC tissues and adjacent tissues was examined using immunohistochemical staining ( n = 47 biologically independent samples). IOD of DHCR7 B and MSMO1 C expression in CC patients with high ( n = 27 biologically independent samples) or low ( n = 20 biologically independent samples) expression of ACAT2 was examined using immunohistochemical staining. The number of activated CD8 T cells <t>(CD8A</t> + GZMB + ) D or activated NK cells (CD56 + GZMB + ) E infiltrated in the tumor tissues of patients with high ( n = 27 biologically independent samples) and low ACAT2 ( n = 20 biologically independent samples) expression was detected. Data represent mean ± SEM. Statistical analysis was performed using the paired A or unpaired ( B – E ) t-test.
Apc Coupled Cd8a Antibody, supplied by Proteintech, 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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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.
Cd8, 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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Image Search Results


scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, CD8 + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.

Journal: Cell Reports Medicine

Article Title: Immunogenic tumor cell death and T-cell-derived IFN-γ elicit tumoricidal macrophages to potentiate OX40 immunotherapy

doi: 10.1016/j.xcrm.2026.102699

Figure Lengend Snippet: scRNA-seq reveals differential immune infiltration in αOX40-treated tumors based on response (A) Schematic of the bilateral MC38 tumor model assessing αOX40 response. Humanized OX40 mice received three doses of αOX40, followed by resection of the left tumor for scRNA-seq and flow cytometry analysis. Contralateral tumor dynamics and survival were monitored longitudinally. (B) UMAP visualization of scRNA-seq data from immune cells in MC38-bearing mice following αOX40 treatment. Cells are color-coded by annotated cell type. (C) Heatmap depicting nine transcriptionally distinct immune cell subpopulations. (D) Pie chart shows the relative abundance of nine immune cell clusters in αOX40 responders and nonresponders. (E) Flow cytometry analysis of tumor-infiltrating immune cell frequencies in αOX40-treated MC38-bearing mice. Frequencies of CD4 + T cells, CD8 + T cells, and macrophages were quantified after the third αOX40 dose (control, n = 5 mice; mice with a robust therapeutic response named as responder, n = 4 mice; mice with minimal to no response named as nonresponder, n = 4 mice). Data represent mean ± SD from one of two independent experiments (E). Statistical significance was determined using one-way ANOVA with multiple comparisons. ∗∗ p < 0.01.

Article Snippet: CD8a (Ly-2) microbeads, mouse , Miltenyi Biotec , Cat# 130-117-044.

Techniques: Flow Cytometry, Control, Clinical Proteomics

NOS2-expressing macrophages is associated with response to αOX40 therapy (A) UMAP of monocytes/macrophages subclusters from scRNA-seq data in αOX40-treated MC38-bearing mice. (B) Representative marker genes in the monocyte/macrophage subclusters. (C) Pie chart showing the proportional distribution of monocyte/macrophage subsets of responders and nonresponders. (D) QuSAGE pathway analysis demonstrated enrichment of innate immune and phagocytic signaling pathways in distinct monocyte/macrophage subsets. (E) UMAP showing Mac_C1 signature genes and a heatmap of immune-related gene expression across TAM subclusters ( Z score normalized). (F) Violin plots comparing Nos2 expression levels in Mac_C1 subset between responsive and nonresponsive. (G) Flow cytometry analysis shows the percentage of M1-like (F4/80 + NOS2 + ) and M2-like (F4/80 + CD206 + ) macrophages in tumor tissues of control ( n = 5 mice), nonresponders (with minimal to no response, n = 4 mice), and responders (with a robust therapeutic response, n = 4 mice). (H and I) Comparison of Nos2 expression levels in responders versus nonresponders pre- or post-αOX40 treatment. Bilateral-MC38-bearing mice were treated with αOX40, and tumors from one side were analyzed by RNA-seq prior to (H) or following αOX40 treatment (I). The Nos2 expression was analyzed from RNA-seq data (left) and validated by RT-qPCR (right) ( n = 5 biological replicates). (J) NOS2 expression in tumor biopsies post-treatment determined by RNA-seq. Patients with advanced solid tumors and >1 prior therapy received HFB301001 monotherapy. Tumor biopsy samples were obtained on day 8 of cycle 2 for subsequent RNA-seq analysis. NOS2 expression were compared between patients achieving stable disease (SD, n = 3) and those with progressive disease (PD, n = 3). (K) GO enrichment analysis of upregulated genes in Mac_C1 of responders. (L) Calreticulin expression was quantified by flow cytometry in different response groups following αOX40 treatment ( n = 3 mice per group). (M) NOS2 expression in BMDMs was analyzed by flow cytometry after stimulation with CD8 + T cell supernatant and MC38 lysate, combined with TLR inhibition and IFN-γ blockade ( n = 5 biological replicates). (N) Quantification of Nos2 expression in BMDM by RT-qPCR after 24-h stimulation with MPLA (TLR4 agonist, 100 ng/mL), IFN-γ (20 ng/mL), or both. Data normalized to Gapdh and presented as fold-change relative to unstimulated controls ( n = 4 biological replicates). Data are shown as means ± SD from one of two independent experiments (G, H, I, L, M, and N). Statistical significance was determined using one-way ANOVA with multiple comparisons (G, L, M, and N) or using an unpaired two-tailed t test (H, I, and J). n.s., not significant; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; VST, variance stabilized transformation; sup., supernatant; lys., tumor lysate; inh., inhibitor.

Journal: Cell Reports Medicine

Article Title: Immunogenic tumor cell death and T-cell-derived IFN-γ elicit tumoricidal macrophages to potentiate OX40 immunotherapy

doi: 10.1016/j.xcrm.2026.102699

Figure Lengend Snippet: NOS2-expressing macrophages is associated with response to αOX40 therapy (A) UMAP of monocytes/macrophages subclusters from scRNA-seq data in αOX40-treated MC38-bearing mice. (B) Representative marker genes in the monocyte/macrophage subclusters. (C) Pie chart showing the proportional distribution of monocyte/macrophage subsets of responders and nonresponders. (D) QuSAGE pathway analysis demonstrated enrichment of innate immune and phagocytic signaling pathways in distinct monocyte/macrophage subsets. (E) UMAP showing Mac_C1 signature genes and a heatmap of immune-related gene expression across TAM subclusters ( Z score normalized). (F) Violin plots comparing Nos2 expression levels in Mac_C1 subset between responsive and nonresponsive. (G) Flow cytometry analysis shows the percentage of M1-like (F4/80 + NOS2 + ) and M2-like (F4/80 + CD206 + ) macrophages in tumor tissues of control ( n = 5 mice), nonresponders (with minimal to no response, n = 4 mice), and responders (with a robust therapeutic response, n = 4 mice). (H and I) Comparison of Nos2 expression levels in responders versus nonresponders pre- or post-αOX40 treatment. Bilateral-MC38-bearing mice were treated with αOX40, and tumors from one side were analyzed by RNA-seq prior to (H) or following αOX40 treatment (I). The Nos2 expression was analyzed from RNA-seq data (left) and validated by RT-qPCR (right) ( n = 5 biological replicates). (J) NOS2 expression in tumor biopsies post-treatment determined by RNA-seq. Patients with advanced solid tumors and >1 prior therapy received HFB301001 monotherapy. Tumor biopsy samples were obtained on day 8 of cycle 2 for subsequent RNA-seq analysis. NOS2 expression were compared between patients achieving stable disease (SD, n = 3) and those with progressive disease (PD, n = 3). (K) GO enrichment analysis of upregulated genes in Mac_C1 of responders. (L) Calreticulin expression was quantified by flow cytometry in different response groups following αOX40 treatment ( n = 3 mice per group). (M) NOS2 expression in BMDMs was analyzed by flow cytometry after stimulation with CD8 + T cell supernatant and MC38 lysate, combined with TLR inhibition and IFN-γ blockade ( n = 5 biological replicates). (N) Quantification of Nos2 expression in BMDM by RT-qPCR after 24-h stimulation with MPLA (TLR4 agonist, 100 ng/mL), IFN-γ (20 ng/mL), or both. Data normalized to Gapdh and presented as fold-change relative to unstimulated controls ( n = 4 biological replicates). Data are shown as means ± SD from one of two independent experiments (G, H, I, L, M, and N). Statistical significance was determined using one-way ANOVA with multiple comparisons (G, L, M, and N) or using an unpaired two-tailed t test (H, I, and J). n.s., not significant; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; VST, variance stabilized transformation; sup., supernatant; lys., tumor lysate; inh., inhibitor.

Article Snippet: CD8a (Ly-2) microbeads, mouse , Miltenyi Biotec , Cat# 130-117-044.

Techniques: Expressing, Marker, Protein-Protein interactions, Gene Expression, Flow Cytometry, Control, Clinical Proteomics, Comparison, RNA Sequencing, Quantitative RT-PCR, Inhibition, Two Tailed Test, Transformation Assay

The antitumor efficacy of the Combo therapy is contingent upon CD8 + T cells and macrophages (A) UMAP of scRNA-seq data from tumor-infiltrating immune cells in OX40-humanized MC38-bearing mice treated with MPLA, IFN-γ, αOX40, or Combo. Cells are color-coded by annotated cell type. (B) Bubble chart showing the top variable marker genes for identified immune cell types. (C) Pie chart shows the relative abundance of 11 immune cell clusters in control, αOX40, MPLA+IFN-γ, or Combo. (D) Macrophage frequency and absolute count in tumors of MC38-bearing mice after two and three treatment cycles with MPLA, IFN-γ, αOX40, or Combo, analyzed by flow cytometry ( n = 5 mice per group). (E) Schematic of CD8 + T cell depletion assay. (F) Tumor volume and survival were monitored. Kaplan-Meier survival analysis corresponding to the depletion study of CD8 + T cell ( n = 6 mice per group). (G) Schematic of macrophage depletion assay in early and late stage. (H and I) Tumor volume and survival were monitored. Kaplan-Meier survival analysis corresponding to the depletion study in (G) ( n = 6–10 mice per group). Data are shown as means ± SD from one of two independent experiments (D, F, H, and I). Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test (D). Log rank test was used (F, H, and I) for statistical comparison. n.s., not significant; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.

Journal: Cell Reports Medicine

Article Title: Immunogenic tumor cell death and T-cell-derived IFN-γ elicit tumoricidal macrophages to potentiate OX40 immunotherapy

doi: 10.1016/j.xcrm.2026.102699

Figure Lengend Snippet: The antitumor efficacy of the Combo therapy is contingent upon CD8 + T cells and macrophages (A) UMAP of scRNA-seq data from tumor-infiltrating immune cells in OX40-humanized MC38-bearing mice treated with MPLA, IFN-γ, αOX40, or Combo. Cells are color-coded by annotated cell type. (B) Bubble chart showing the top variable marker genes for identified immune cell types. (C) Pie chart shows the relative abundance of 11 immune cell clusters in control, αOX40, MPLA+IFN-γ, or Combo. (D) Macrophage frequency and absolute count in tumors of MC38-bearing mice after two and three treatment cycles with MPLA, IFN-γ, αOX40, or Combo, analyzed by flow cytometry ( n = 5 mice per group). (E) Schematic of CD8 + T cell depletion assay. (F) Tumor volume and survival were monitored. Kaplan-Meier survival analysis corresponding to the depletion study of CD8 + T cell ( n = 6 mice per group). (G) Schematic of macrophage depletion assay in early and late stage. (H and I) Tumor volume and survival were monitored. Kaplan-Meier survival analysis corresponding to the depletion study in (G) ( n = 6–10 mice per group). Data are shown as means ± SD from one of two independent experiments (D, F, H, and I). Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test (D). Log rank test was used (F, H, and I) for statistical comparison. n.s., not significant; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.

Article Snippet: CD8a (Ly-2) microbeads, mouse , Miltenyi Biotec , Cat# 130-117-044.

Techniques: Marker, Control, Flow Cytometry, Depletion Assay, Comparison

A IOD of ACAT2 expression in CC tissues and adjacent tissues was examined using immunohistochemical staining ( n = 47 biologically independent samples). IOD of DHCR7 B and MSMO1 C expression in CC patients with high ( n = 27 biologically independent samples) or low ( n = 20 biologically independent samples) expression of ACAT2 was examined using immunohistochemical staining. The number of activated CD8 T cells (CD8A + GZMB + ) D or activated NK cells (CD56 + GZMB + ) E infiltrated in the tumor tissues of patients with high ( n = 27 biologically independent samples) and low ACAT2 ( n = 20 biologically independent samples) expression was detected. Data represent mean ± SEM. Statistical analysis was performed using the paired A or unpaired ( B – E ) t-test.

Journal: Communications Biology

Article Title: SREBF2 enhances lipid metabolism and represses anti-tumor immune responses in cervical cancer by increasing ACAT2

doi: 10.1038/s42003-026-09678-9

Figure Lengend Snippet: A IOD of ACAT2 expression in CC tissues and adjacent tissues was examined using immunohistochemical staining ( n = 47 biologically independent samples). IOD of DHCR7 B and MSMO1 C expression in CC patients with high ( n = 27 biologically independent samples) or low ( n = 20 biologically independent samples) expression of ACAT2 was examined using immunohistochemical staining. The number of activated CD8 T cells (CD8A + GZMB + ) D or activated NK cells (CD56 + GZMB + ) E infiltrated in the tumor tissues of patients with high ( n = 27 biologically independent samples) and low ACAT2 ( n = 20 biologically independent samples) expression was detected. Data represent mean ± SEM. Statistical analysis was performed using the paired A or unpaired ( B – E ) t-test.

Article Snippet: The cell suspension (100 μL) was incubated with BeyoFC Fc Receptor Blocking Solution (C1755, Beyotime) for 10 min at 4 °C and with primary antibodies, including FITC-coupled CD3 antibody (1:100, FITC-65077, ProteinTech, RRID: AB_2883763), PE-coupled NK1.1 antibody (1:100, PE-65138, ProteinTech, RRID: AB_2883920), and APC-coupled CD8A antibody (1:100, APC-65069, ProteinTech, RRID: AB_2882970) for 1 h at 4 °C.

Techniques: Expressing, Immunohistochemical staining, Staining

ACAT2 expression in HCeEpiC and CC cell lines was examined using RT-qPCR A and Western blot analysis B ( n = 5 independent experiments). C ACAT2, DHCR7, and MSMO1 expression in CC cells after infection with Scramble-sh, ACAT2-sh #1, and ACAT2-sh #2 was examined using Western blot analysis ( n = 5 independent experiments). D Detection of total cholesterol, free cholesterol, and cholesteryl ester levels in CC cells ( n = 5 independent experiments). The proliferation of CC cells was examined using CCK8 ( E ) and colony formation assays F (n = 5 independent experiments). G CC cells were co-cultured with (E: T = 3:1) with NK cells or CD8 T cells for 6 h, respectively, and the death of CC cells was detected ( n = 5 independent experiments). H IFN-γ and GZMB released from immune cells in a co-culture system with CC cells were examined using ELISA ( n = 5 independent experiments). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( A , B ) or two-way ( C - H ) ANOVA, followed by Tukey’s multiple comparisons test ( A – H ).

Journal: Communications Biology

Article Title: SREBF2 enhances lipid metabolism and represses anti-tumor immune responses in cervical cancer by increasing ACAT2

doi: 10.1038/s42003-026-09678-9

Figure Lengend Snippet: ACAT2 expression in HCeEpiC and CC cell lines was examined using RT-qPCR A and Western blot analysis B ( n = 5 independent experiments). C ACAT2, DHCR7, and MSMO1 expression in CC cells after infection with Scramble-sh, ACAT2-sh #1, and ACAT2-sh #2 was examined using Western blot analysis ( n = 5 independent experiments). D Detection of total cholesterol, free cholesterol, and cholesteryl ester levels in CC cells ( n = 5 independent experiments). The proliferation of CC cells was examined using CCK8 ( E ) and colony formation assays F (n = 5 independent experiments). G CC cells were co-cultured with (E: T = 3:1) with NK cells or CD8 T cells for 6 h, respectively, and the death of CC cells was detected ( n = 5 independent experiments). H IFN-γ and GZMB released from immune cells in a co-culture system with CC cells were examined using ELISA ( n = 5 independent experiments). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( A , B ) or two-way ( C - H ) ANOVA, followed by Tukey’s multiple comparisons test ( A – H ).

Article Snippet: The cell suspension (100 μL) was incubated with BeyoFC Fc Receptor Blocking Solution (C1755, Beyotime) for 10 min at 4 °C and with primary antibodies, including FITC-coupled CD3 antibody (1:100, FITC-65077, ProteinTech, RRID: AB_2883763), PE-coupled NK1.1 antibody (1:100, PE-65138, ProteinTech, RRID: AB_2883920), and APC-coupled CD8A antibody (1:100, APC-65069, ProteinTech, RRID: AB_2882970) for 1 h at 4 °C.

Techniques: Expressing, Quantitative RT-PCR, Western Blot, Infection, Cell Culture, Co-Culture Assay, Enzyme-linked Immunosorbent Assay

A ACAT2 knockdown efficiency in U14 cells was examined using western blot analysis ( n = 10 independent experiments). B Volume changes of transplanted tumors in mice subcutaneously inoculated with U14 cells (n = 10 animals). C The images and weight of the tumors harvested on day 21 ( n = 10 animals). D Protein expression of ACAT2, MSMO1, DHCR7, and PCNA in transplanted tumors was examined using western blot analysis ( n = 10 animals). E Detection of total cholesterol, free cholesterol, and cholesteryl ester levels in transplanted tumors ( n = 10 animals). The gating strategy for GZMB + NK cells and CD8 + T cells F and quantification G were analyzed using flow cytometry ( n = 10 animals). H Survival of mice over 60 days after subcutaneous inoculation of U14 cells was analyzed using the log-rank test ( n = 20 animals). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( A , C , E , G ) or two-way ( B , D ) ANOVA, followed by Tukey’s multiple comparisons test.

Journal: Communications Biology

Article Title: SREBF2 enhances lipid metabolism and represses anti-tumor immune responses in cervical cancer by increasing ACAT2

doi: 10.1038/s42003-026-09678-9

Figure Lengend Snippet: A ACAT2 knockdown efficiency in U14 cells was examined using western blot analysis ( n = 10 independent experiments). B Volume changes of transplanted tumors in mice subcutaneously inoculated with U14 cells (n = 10 animals). C The images and weight of the tumors harvested on day 21 ( n = 10 animals). D Protein expression of ACAT2, MSMO1, DHCR7, and PCNA in transplanted tumors was examined using western blot analysis ( n = 10 animals). E Detection of total cholesterol, free cholesterol, and cholesteryl ester levels in transplanted tumors ( n = 10 animals). The gating strategy for GZMB + NK cells and CD8 + T cells F and quantification G were analyzed using flow cytometry ( n = 10 animals). H Survival of mice over 60 days after subcutaneous inoculation of U14 cells was analyzed using the log-rank test ( n = 20 animals). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( A , C , E , G ) or two-way ( B , D ) ANOVA, followed by Tukey’s multiple comparisons test.

Article Snippet: The cell suspension (100 μL) was incubated with BeyoFC Fc Receptor Blocking Solution (C1755, Beyotime) for 10 min at 4 °C and with primary antibodies, including FITC-coupled CD3 antibody (1:100, FITC-65077, ProteinTech, RRID: AB_2883763), PE-coupled NK1.1 antibody (1:100, PE-65138, ProteinTech, RRID: AB_2883920), and APC-coupled CD8A antibody (1:100, APC-65069, ProteinTech, RRID: AB_2882970) for 1 h at 4 °C.

Techniques: Knockdown, Western Blot, Expressing, Flow Cytometry

The proliferation of CC cells was examined using CCK8 A and colony formation assays B ( n = 5 independent experiments). C CC cells were co-cultured with (E: T = 3:1) with NK cells or CD8 + T cells, and the death of CC cells was detected ( n = 5 independent experiments). D IFN-γ and GZMB released from immune cells in a co-culture system with CC cells were examined using ELISA ( n = 5 independent experiments). E TGF-β1 released by CC cells was examined using ELISA ( n = 5 independent experiments). F PD-L1 expression levels in CC cells were observed using immunofluorescence staining ( n = 5 independent experiments). Data represent mean ± SEM. Statistical analysis was performed using the two-way ( A – F ) ANOVA, followed by Tukey’s multiple comparisons test.

Journal: Communications Biology

Article Title: SREBF2 enhances lipid metabolism and represses anti-tumor immune responses in cervical cancer by increasing ACAT2

doi: 10.1038/s42003-026-09678-9

Figure Lengend Snippet: The proliferation of CC cells was examined using CCK8 A and colony formation assays B ( n = 5 independent experiments). C CC cells were co-cultured with (E: T = 3:1) with NK cells or CD8 + T cells, and the death of CC cells was detected ( n = 5 independent experiments). D IFN-γ and GZMB released from immune cells in a co-culture system with CC cells were examined using ELISA ( n = 5 independent experiments). E TGF-β1 released by CC cells was examined using ELISA ( n = 5 independent experiments). F PD-L1 expression levels in CC cells were observed using immunofluorescence staining ( n = 5 independent experiments). Data represent mean ± SEM. Statistical analysis was performed using the two-way ( A – F ) ANOVA, followed by Tukey’s multiple comparisons test.

Article Snippet: The cell suspension (100 μL) was incubated with BeyoFC Fc Receptor Blocking Solution (C1755, Beyotime) for 10 min at 4 °C and with primary antibodies, including FITC-coupled CD3 antibody (1:100, FITC-65077, ProteinTech, RRID: AB_2883763), PE-coupled NK1.1 antibody (1:100, PE-65138, ProteinTech, RRID: AB_2883920), and APC-coupled CD8A antibody (1:100, APC-65069, ProteinTech, RRID: AB_2882970) for 1 h at 4 °C.

Techniques: Cell Culture, Co-Culture Assay, Enzyme-linked Immunosorbent Assay, Expressing, Immunofluorescence, Staining

A Volume changes of transplanted tumors in mice subcutaneously inoculated with U14 cells ( n = 5 animals). B The images and weight of the tumors harvested on day 21 ( n = 5 animals). The gating strategy for GZMB + NK cells and CD8 + T cells C and quantification D were analyzed using flow cytometry ( n = 5 animals). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( B , D ) or two-way A ANOVA, followed by Tukey’s multiple comparisons test.

Journal: Communications Biology

Article Title: SREBF2 enhances lipid metabolism and represses anti-tumor immune responses in cervical cancer by increasing ACAT2

doi: 10.1038/s42003-026-09678-9

Figure Lengend Snippet: A Volume changes of transplanted tumors in mice subcutaneously inoculated with U14 cells ( n = 5 animals). B The images and weight of the tumors harvested on day 21 ( n = 5 animals). The gating strategy for GZMB + NK cells and CD8 + T cells C and quantification D were analyzed using flow cytometry ( n = 5 animals). Data represent mean ± SEM. Statistical analysis was performed using the one-way ( B , D ) or two-way A ANOVA, followed by Tukey’s multiple comparisons test.

Article Snippet: The cell suspension (100 μL) was incubated with BeyoFC Fc Receptor Blocking Solution (C1755, Beyotime) for 10 min at 4 °C and with primary antibodies, including FITC-coupled CD3 antibody (1:100, FITC-65077, ProteinTech, RRID: AB_2883763), PE-coupled NK1.1 antibody (1:100, PE-65138, ProteinTech, RRID: AB_2883920), and APC-coupled CD8A antibody (1:100, APC-65069, ProteinTech, RRID: AB_2882970) for 1 h at 4 °C.

Techniques: Flow Cytometry

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