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foxp3  (Bioss)


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    Bioss foxp3
    Foxp3, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 14 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    (A) Heatmaps depict the enrichment of immune and non-immune cell types in the immediate neighborhood of CCR7 + DCs in NSCLC spatial transcriptomic data ( n = 4). (B) (Left) Representative FOV displaying CCR7 + DCs (HLA-DR + LAMP3 + ; yellow) located near BVs (CD31 + PDPN − ; magenta) and Tregs (CD4 + <t>FOXP3</t> + ; white) in one HNSCC sample using high-plex whole-tissue imaging. Scale bar represents 20 μm. (Right) Box plots display the frequencies of BV-associated, LV-associated, and non-vessel-associated CCR7 + DCs close (<5 μm) to Tregs among all tumor CCR7 + DCs with nearby Tregs. Wilcoxon test, whiskers represent min to max; * p < 0.05. (C) Correlations between CCR7 + DCs and Tregs within CD45 + cells, as determined by scRNA-seq in multiple human cancer types. Spearman rank correlation; significant correlations are shown with a fitted red line. (D) (Left) Scheme outlining the analyses of CCR7 + DCs and Tregs in NSCLC samples. Patients with numerous (>5) CCR7 + DC clusters ( n = 12) were selected for downstream analyses. (Right) Frequency of CCR7 + DCs (CD11c + LAMP3 + ) with at least one nearby (<50 μm) Treg (CD4 + FOXP3 + ) in each individual patient. Numbers of FOVs analyzed per sample are as follows: NR01, n = 126; NR06, n = 455; NR09, n = 180; NR12, n = 79; NR26, n = 293; R11, n = 122; R15, n = 205; R35, n = 175; R37, n = 459; R45, n = 276. (E) (Left) Scheme outlining the analysis of tumor biopsies from HNSCC patients before immunotherapy (pre-IO). Patients were divided into non-responders (NR, n = 5) and responders (R, n = 5) based on the assessment of clinical response at 6 months. (Right) CCR7 + DC shortest distance to Tregs, T CONV , and CD8 + T cells in NR versus R tumors. Data are shown for all CCR7 + DCs compiled (NR tumors, n = 1,457 cells; R tumors, n = 1,324 cells). Unpaired t test, whiskers represent min to max; **** p < 0.0001. Numbers of FOVs analyzed per sample as in (D). (F) (Left) Scheme outlining the analyses of CCR7 + DC-CD8 + T cell niches. (Right) Frequencies of CCR7 + DC-CD8 + T cell niches with or without Tregs in their proximity (<100 μm). Two-way ANOVA with multiple comparisons, whiskers represent min to max; * p < 0.05. Numbers of FOVs analyzed per sample as in (D). (G) Representative FOV displaying CCR7 + DCs (FSCN1 + cells; FSCN1 in yellow) located near BVs (CD31 + LYVE-1 − cells; CD31 in magenta) and Tregs (FOXP3 + cells; FOXP3 in white) in untreated MC38 tumors. Scale bar represents 50 μm. (H) Correlations between the numbers of CCR7 + DCs and Tregs per mg of tumor tissue, as determined by fluorescence-activated cell sorting (FACS) analyses of MC38 and D4M3. A tumors. Spearman rank correlation; significant correlations are shown with a fitted red line. (I) Box plots show the frequencies of tumor CCR7 + DCs close (<5 μm) to Tregs that are associated to BVs or LVs in MC38 tumors ( n = 7). Whole-tumor sections were analyzed. Paired t test, whiskers represent min to max; **** p < 0.0001. See also and .
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    (A) Heatmaps depict the enrichment of immune and non-immune cell types in the immediate neighborhood of CCR7 + DCs in NSCLC spatial transcriptomic data ( n = 4). (B) (Left) Representative FOV displaying CCR7 + DCs (HLA-DR + LAMP3 + ; yellow) located near BVs (CD31 + PDPN − ; magenta) and Tregs (CD4 + <t>FOXP3</t> + ; white) in one HNSCC sample using high-plex whole-tissue imaging. Scale bar represents 20 μm. (Right) Box plots display the frequencies of BV-associated, LV-associated, and non-vessel-associated CCR7 + DCs close (<5 μm) to Tregs among all tumor CCR7 + DCs with nearby Tregs. Wilcoxon test, whiskers represent min to max; * p < 0.05. (C) Correlations between CCR7 + DCs and Tregs within CD45 + cells, as determined by scRNA-seq in multiple human cancer types. Spearman rank correlation; significant correlations are shown with a fitted red line. (D) (Left) Scheme outlining the analyses of CCR7 + DCs and Tregs in NSCLC samples. Patients with numerous (>5) CCR7 + DC clusters ( n = 12) were selected for downstream analyses. (Right) Frequency of CCR7 + DCs (CD11c + LAMP3 + ) with at least one nearby (<50 μm) Treg (CD4 + FOXP3 + ) in each individual patient. Numbers of FOVs analyzed per sample are as follows: NR01, n = 126; NR06, n = 455; NR09, n = 180; NR12, n = 79; NR26, n = 293; R11, n = 122; R15, n = 205; R35, n = 175; R37, n = 459; R45, n = 276. (E) (Left) Scheme outlining the analysis of tumor biopsies from HNSCC patients before immunotherapy (pre-IO). Patients were divided into non-responders (NR, n = 5) and responders (R, n = 5) based on the assessment of clinical response at 6 months. (Right) CCR7 + DC shortest distance to Tregs, T CONV , and CD8 + T cells in NR versus R tumors. Data are shown for all CCR7 + DCs compiled (NR tumors, n = 1,457 cells; R tumors, n = 1,324 cells). Unpaired t test, whiskers represent min to max; **** p < 0.0001. Numbers of FOVs analyzed per sample as in (D). (F) (Left) Scheme outlining the analyses of CCR7 + DC-CD8 + T cell niches. (Right) Frequencies of CCR7 + DC-CD8 + T cell niches with or without Tregs in their proximity (<100 μm). Two-way ANOVA with multiple comparisons, whiskers represent min to max; * p < 0.05. Numbers of FOVs analyzed per sample as in (D). (G) Representative FOV displaying CCR7 + DCs (FSCN1 + cells; FSCN1 in yellow) located near BVs (CD31 + LYVE-1 − cells; CD31 in magenta) and Tregs (FOXP3 + cells; FOXP3 in white) in untreated MC38 tumors. Scale bar represents 50 μm. (H) Correlations between the numbers of CCR7 + DCs and Tregs per mg of tumor tissue, as determined by fluorescence-activated cell sorting (FACS) analyses of MC38 and D4M3. A tumors. Spearman rank correlation; significant correlations are shown with a fitted red line. (I) Box plots show the frequencies of tumor CCR7 + DCs close (<5 μm) to Tregs that are associated to BVs or LVs in MC38 tumors ( n = 7). Whole-tumor sections were analyzed. Paired t test, whiskers represent min to max; **** p < 0.0001. See also and .
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    Cellular phenotyping of OX40L + cells in melanoma tumors. (a) OX40L expression on SOX10 + melanoma cells was manually assessed in 30 tumors (5–10 ROIs per tumor; 3 mm² per ROI). Representative images of membrane-associated OX40L expression and a summary of prevalence across tumors are shown. Rare OX40L + melanoma cells (<10 cells per ROI) were classified as “scattered” or “focally clustered,” whereas “widespread” distribution was defined as OX40L expression in ~10% of SOX10 + melanoma cells per ROI. (b) Exploratory OX40L immune cell phenotyping was performed on serial tumor sections from three melanoma cases. Representative multiplex immunofluorescence images illustrate OX40L expression in macrophages (CD68 + , CD163 + ), dendritic cells (CD11c + ), CD4 + T cells, CD8 + T cells, and <t>Foxp3</t> + regulatory T cells. (c) Proportions of immune cell subsets within the TME across three tumors (8–15 ROIs per tumor). (d) Violin plots depicting the proportion of OX40L + cells within each immune subset. Mac, macrophages; DC, dendritic cells; T, T cells. Each dot represents one ROI, dot colors represent tumor sample, and mean and median values are shown in red squares and black diamonds.
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    foxp3  (Bioss)
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    Cellular phenotyping of OX40L + cells in melanoma tumors. (a) OX40L expression on SOX10 + melanoma cells was manually assessed in 30 tumors (5–10 ROIs per tumor; 3 mm² per ROI). Representative images of membrane-associated OX40L expression and a summary of prevalence across tumors are shown. Rare OX40L + melanoma cells (<10 cells per ROI) were classified as “scattered” or “focally clustered,” whereas “widespread” distribution was defined as OX40L expression in ~10% of SOX10 + melanoma cells per ROI. (b) Exploratory OX40L immune cell phenotyping was performed on serial tumor sections from three melanoma cases. Representative multiplex immunofluorescence images illustrate OX40L expression in macrophages (CD68 + , CD163 + ), dendritic cells (CD11c + ), CD4 + T cells, CD8 + T cells, and <t>Foxp3</t> + regulatory T cells. (c) Proportions of immune cell subsets within the TME across three tumors (8–15 ROIs per tumor). (d) Violin plots depicting the proportion of OX40L + cells within each immune subset. Mac, macrophages; DC, dendritic cells; T, T cells. Each dot represents one ROI, dot colors represent tumor sample, and mean and median values are shown in red squares and black diamonds.
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    Low FCN3 expression in HCC affected Treg cell activation. ( A ) Kaplan-Meier survival analysis showing the correlation between FCN3 levels and overall survival of HCC patients. ( B - D ) qRT-PCR, WB and IHC analysis of FCN3 expression in tumor ( T ) and adjacent non-tumor ( N ) tissues from HCC patients. ( E - F ) The levels of FCN3 in normal hepatocyte THLE-2 and HCC cell lines (HepG2, Hep3B, HCC-LM3) were assessed by qRT-PCR and WB. ( G - H ) qRT-PCR and WB analysis demonstrating the mRNA and protein levels of Treg cell markers <t>FOXP3</t> and CD25 in clinical samples. ( I ) ELISA quantification of TGF-β1 and IL-10 in HCC tumor and adjacent non-tumor tissues. ( J - K ) The levels of FOXP3 and CD25 in PBMCs co-cultured with FCN3-knockdown or FCN3-overexpressing HCC cells were evaluated by qRT-PCR and WB. ( L ) Flow cytometry analysis of CD4⁺CD25⁺FOXP3 + Treg cell proportion in PBMCs within the co-culture systems. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. N/ THLE-2/ sh-NC/ OE-NC
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    Low FCN3 expression in HCC affected Treg cell activation. ( A ) Kaplan-Meier survival analysis showing the correlation between FCN3 levels and overall survival of HCC patients. ( B - D ) qRT-PCR, WB and IHC analysis of FCN3 expression in tumor ( T ) and adjacent non-tumor ( N ) tissues from HCC patients. ( E - F ) The levels of FCN3 in normal hepatocyte THLE-2 and HCC cell lines (HepG2, Hep3B, HCC-LM3) were assessed by qRT-PCR and WB. ( G - H ) qRT-PCR and WB analysis demonstrating the mRNA and protein levels of Treg cell markers <t>FOXP3</t> and CD25 in clinical samples. ( I ) ELISA quantification of TGF-β1 and IL-10 in HCC tumor and adjacent non-tumor tissues. ( J - K ) The levels of FOXP3 and CD25 in PBMCs co-cultured with FCN3-knockdown or FCN3-overexpressing HCC cells were evaluated by qRT-PCR and WB. ( L ) Flow cytometry analysis of CD4⁺CD25⁺FOXP3 + Treg cell proportion in PBMCs within the co-culture systems. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. N/ THLE-2/ sh-NC/ OE-NC
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    Image Search Results


    (A) Heatmaps depict the enrichment of immune and non-immune cell types in the immediate neighborhood of CCR7 + DCs in NSCLC spatial transcriptomic data ( n = 4). (B) (Left) Representative FOV displaying CCR7 + DCs (HLA-DR + LAMP3 + ; yellow) located near BVs (CD31 + PDPN − ; magenta) and Tregs (CD4 + FOXP3 + ; white) in one HNSCC sample using high-plex whole-tissue imaging. Scale bar represents 20 μm. (Right) Box plots display the frequencies of BV-associated, LV-associated, and non-vessel-associated CCR7 + DCs close (<5 μm) to Tregs among all tumor CCR7 + DCs with nearby Tregs. Wilcoxon test, whiskers represent min to max; * p < 0.05. (C) Correlations between CCR7 + DCs and Tregs within CD45 + cells, as determined by scRNA-seq in multiple human cancer types. Spearman rank correlation; significant correlations are shown with a fitted red line. (D) (Left) Scheme outlining the analyses of CCR7 + DCs and Tregs in NSCLC samples. Patients with numerous (>5) CCR7 + DC clusters ( n = 12) were selected for downstream analyses. (Right) Frequency of CCR7 + DCs (CD11c + LAMP3 + ) with at least one nearby (<50 μm) Treg (CD4 + FOXP3 + ) in each individual patient. Numbers of FOVs analyzed per sample are as follows: NR01, n = 126; NR06, n = 455; NR09, n = 180; NR12, n = 79; NR26, n = 293; R11, n = 122; R15, n = 205; R35, n = 175; R37, n = 459; R45, n = 276. (E) (Left) Scheme outlining the analysis of tumor biopsies from HNSCC patients before immunotherapy (pre-IO). Patients were divided into non-responders (NR, n = 5) and responders (R, n = 5) based on the assessment of clinical response at 6 months. (Right) CCR7 + DC shortest distance to Tregs, T CONV , and CD8 + T cells in NR versus R tumors. Data are shown for all CCR7 + DCs compiled (NR tumors, n = 1,457 cells; R tumors, n = 1,324 cells). Unpaired t test, whiskers represent min to max; **** p < 0.0001. Numbers of FOVs analyzed per sample as in (D). (F) (Left) Scheme outlining the analyses of CCR7 + DC-CD8 + T cell niches. (Right) Frequencies of CCR7 + DC-CD8 + T cell niches with or without Tregs in their proximity (<100 μm). Two-way ANOVA with multiple comparisons, whiskers represent min to max; * p < 0.05. Numbers of FOVs analyzed per sample as in (D). (G) Representative FOV displaying CCR7 + DCs (FSCN1 + cells; FSCN1 in yellow) located near BVs (CD31 + LYVE-1 − cells; CD31 in magenta) and Tregs (FOXP3 + cells; FOXP3 in white) in untreated MC38 tumors. Scale bar represents 50 μm. (H) Correlations between the numbers of CCR7 + DCs and Tregs per mg of tumor tissue, as determined by fluorescence-activated cell sorting (FACS) analyses of MC38 and D4M3. A tumors. Spearman rank correlation; significant correlations are shown with a fitted red line. (I) Box plots show the frequencies of tumor CCR7 + DCs close (<5 μm) to Tregs that are associated to BVs or LVs in MC38 tumors ( n = 7). Whole-tumor sections were analyzed. Paired t test, whiskers represent min to max; **** p < 0.0001. See also and .

    Journal: Immunity

    Article Title: Positioning and reversible suppression of CCR7 + dendritic cells in perivascular tumor niches shape cancer immunity

    doi: 10.1016/j.immuni.2025.11.020

    Figure Lengend Snippet: (A) Heatmaps depict the enrichment of immune and non-immune cell types in the immediate neighborhood of CCR7 + DCs in NSCLC spatial transcriptomic data ( n = 4). (B) (Left) Representative FOV displaying CCR7 + DCs (HLA-DR + LAMP3 + ; yellow) located near BVs (CD31 + PDPN − ; magenta) and Tregs (CD4 + FOXP3 + ; white) in one HNSCC sample using high-plex whole-tissue imaging. Scale bar represents 20 μm. (Right) Box plots display the frequencies of BV-associated, LV-associated, and non-vessel-associated CCR7 + DCs close (<5 μm) to Tregs among all tumor CCR7 + DCs with nearby Tregs. Wilcoxon test, whiskers represent min to max; * p < 0.05. (C) Correlations between CCR7 + DCs and Tregs within CD45 + cells, as determined by scRNA-seq in multiple human cancer types. Spearman rank correlation; significant correlations are shown with a fitted red line. (D) (Left) Scheme outlining the analyses of CCR7 + DCs and Tregs in NSCLC samples. Patients with numerous (>5) CCR7 + DC clusters ( n = 12) were selected for downstream analyses. (Right) Frequency of CCR7 + DCs (CD11c + LAMP3 + ) with at least one nearby (<50 μm) Treg (CD4 + FOXP3 + ) in each individual patient. Numbers of FOVs analyzed per sample are as follows: NR01, n = 126; NR06, n = 455; NR09, n = 180; NR12, n = 79; NR26, n = 293; R11, n = 122; R15, n = 205; R35, n = 175; R37, n = 459; R45, n = 276. (E) (Left) Scheme outlining the analysis of tumor biopsies from HNSCC patients before immunotherapy (pre-IO). Patients were divided into non-responders (NR, n = 5) and responders (R, n = 5) based on the assessment of clinical response at 6 months. (Right) CCR7 + DC shortest distance to Tregs, T CONV , and CD8 + T cells in NR versus R tumors. Data are shown for all CCR7 + DCs compiled (NR tumors, n = 1,457 cells; R tumors, n = 1,324 cells). Unpaired t test, whiskers represent min to max; **** p < 0.0001. Numbers of FOVs analyzed per sample as in (D). (F) (Left) Scheme outlining the analyses of CCR7 + DC-CD8 + T cell niches. (Right) Frequencies of CCR7 + DC-CD8 + T cell niches with or without Tregs in their proximity (<100 μm). Two-way ANOVA with multiple comparisons, whiskers represent min to max; * p < 0.05. Numbers of FOVs analyzed per sample as in (D). (G) Representative FOV displaying CCR7 + DCs (FSCN1 + cells; FSCN1 in yellow) located near BVs (CD31 + LYVE-1 − cells; CD31 in magenta) and Tregs (FOXP3 + cells; FOXP3 in white) in untreated MC38 tumors. Scale bar represents 50 μm. (H) Correlations between the numbers of CCR7 + DCs and Tregs per mg of tumor tissue, as determined by fluorescence-activated cell sorting (FACS) analyses of MC38 and D4M3. A tumors. Spearman rank correlation; significant correlations are shown with a fitted red line. (I) Box plots show the frequencies of tumor CCR7 + DCs close (<5 μm) to Tregs that are associated to BVs or LVs in MC38 tumors ( n = 7). Whole-tumor sections were analyzed. Paired t test, whiskers represent min to max; **** p < 0.0001. See also and .

    Article Snippet: AF647 mouse anti-human FOXP3 (Clone AKYP0102) , Akoya Biosciences , Cat#S6501007.

    Techniques: Imaging, Fluorescence, FACS

    (A) (Left) Scheme outlining the experimental setup for bulk RNA-seq analyses of tumor-derived CCR7 + DCs. (Right) GO pathway enrichment analyses performed on differentially expressed genes (DEGs) in CCR7 + DCs in MC38 tumors ( n = 4) from Treg-depleted ( FoxP3 -DTR) compared with Treg-sufficient (WT) mice. Bar plot indicates the −log 10 raw binomial p -values of the top 10 most enriched pathways in CCR7 + DCs. (B) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptides-loaded CCR7 + DCs isolated from WT or Treg-depleted tumors. As a control, CCR7 + DCs without OVA 257–264 peptides were used. Two-way ANOVA with multiple comparisons, whiskers represent min to max; ** p < 0.01. (C) (Left) Relative gene expression levels analyzed by bulk RNA-seq. Each dot represents one mouse ( n = 4), whiskers represent mean to max. Unpaired t test with multiple comparisons; * p < 0.05. (Right) Representative histogram of CD40 protein expression and relative mean fluorescence intensity (MFI) measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 18), whiskers represent min to max. Unpaired t test; ** p < 0.01. (D) Analyses of cDCs in tumor-draining lymph nodes. Absolute cell counts (left, n = 10) and MFI of CD40 expression (right, n = 18) measured by FACS in migratory cDCs (CCR7 + CD8α − ) from WT or Treg-depleted mice. Whiskers represent mean to max. (E) (Left) Experimental setup for ex vivo analyses of tumor CCR7 + DCs isolated from anti-PD-1-treated mice that received or not αCD25 NIB mAbs. (Right) CD40 protein expression measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 4 WT and n = 6 FoxP3-DTR), whiskers represent min to max. Unpaired t test; ** p < 0.01. (F) (Left) Overall survival analyses of MC38 tumor-bearing mice treated, or not treated, with αPD-1 and αCD25 NIB mAbs, and in which CD4 + or CD8 + cells were depleted or not ( n = 8 or 9 mice/group). Log-rank Mantel-Cox test; * p < 0.05, *** p < 0.001, and *** p < 0.0001. (Right) Percentage of tumor-free mice on day 60 in the indicated treatment groups. (G) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs as in (B). The DCs were obtained from mice receiving anti-PD-1 immunotherapy and that were treated or not with αCD25 NIB mAbs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptide-loaded CCR7 + DCs. Each dot represents one mouse ( n = 8 and n = 7), whiskers represent min to max. Two-way ANOVA with multiple comparisons; * p < 0.05. (H) (Left) Scheme outlining bone marrow chimeras with inducible Cd40 -deficiency in cDCs and the treatment schedule. (Right) Growth curves of MC38 tumors inoculated in zDC iDTR : Cd40 WT and zDC iDTR : Cd40 KO bone marrow chimeras treated with αPD-1, αCD25 NIB , or αPD-1 + αCD25NIB combination ( n = 8–10 mice/group). Mean with SEM. Two-way ANOVA with multiple comparisons; * p < 0.05 and **** p < 0.0001. See also and .

    Journal: Immunity

    Article Title: Positioning and reversible suppression of CCR7 + dendritic cells in perivascular tumor niches shape cancer immunity

    doi: 10.1016/j.immuni.2025.11.020

    Figure Lengend Snippet: (A) (Left) Scheme outlining the experimental setup for bulk RNA-seq analyses of tumor-derived CCR7 + DCs. (Right) GO pathway enrichment analyses performed on differentially expressed genes (DEGs) in CCR7 + DCs in MC38 tumors ( n = 4) from Treg-depleted ( FoxP3 -DTR) compared with Treg-sufficient (WT) mice. Bar plot indicates the −log 10 raw binomial p -values of the top 10 most enriched pathways in CCR7 + DCs. (B) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptides-loaded CCR7 + DCs isolated from WT or Treg-depleted tumors. As a control, CCR7 + DCs without OVA 257–264 peptides were used. Two-way ANOVA with multiple comparisons, whiskers represent min to max; ** p < 0.01. (C) (Left) Relative gene expression levels analyzed by bulk RNA-seq. Each dot represents one mouse ( n = 4), whiskers represent mean to max. Unpaired t test with multiple comparisons; * p < 0.05. (Right) Representative histogram of CD40 protein expression and relative mean fluorescence intensity (MFI) measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 18), whiskers represent min to max. Unpaired t test; ** p < 0.01. (D) Analyses of cDCs in tumor-draining lymph nodes. Absolute cell counts (left, n = 10) and MFI of CD40 expression (right, n = 18) measured by FACS in migratory cDCs (CCR7 + CD8α − ) from WT or Treg-depleted mice. Whiskers represent mean to max. (E) (Left) Experimental setup for ex vivo analyses of tumor CCR7 + DCs isolated from anti-PD-1-treated mice that received or not αCD25 NIB mAbs. (Right) CD40 protein expression measured by FACS and expressed both as normalized values and absolute MFI. Each dot represents one mouse ( n = 4 WT and n = 6 FoxP3-DTR), whiskers represent min to max. Unpaired t test; ** p < 0.01. (F) (Left) Overall survival analyses of MC38 tumor-bearing mice treated, or not treated, with αPD-1 and αCD25 NIB mAbs, and in which CD4 + or CD8 + cells were depleted or not ( n = 8 or 9 mice/group). Log-rank Mantel-Cox test; * p < 0.05, *** p < 0.001, and *** p < 0.0001. (Right) Percentage of tumor-free mice on day 60 in the indicated treatment groups. (G) (Left) Experimental setup for ex vivo stimulation of OT-I CD8 + T cells with tumor CCR7 + DCs as in (B). The DCs were obtained from mice receiving anti-PD-1 immunotherapy and that were treated or not with αCD25 NIB mAbs. (Right) Percentage of OT-I CD8 + T cells that proliferated after 5-day culture with OVA 257–264 peptide-loaded CCR7 + DCs. Each dot represents one mouse ( n = 8 and n = 7), whiskers represent min to max. Two-way ANOVA with multiple comparisons; * p < 0.05. (H) (Left) Scheme outlining bone marrow chimeras with inducible Cd40 -deficiency in cDCs and the treatment schedule. (Right) Growth curves of MC38 tumors inoculated in zDC iDTR : Cd40 WT and zDC iDTR : Cd40 KO bone marrow chimeras treated with αPD-1, αCD25 NIB , or αPD-1 + αCD25NIB combination ( n = 8–10 mice/group). Mean with SEM. Two-way ANOVA with multiple comparisons; * p < 0.05 and **** p < 0.0001. See also and .

    Article Snippet: AF647 mouse anti-human FOXP3 (Clone AKYP0102) , Akoya Biosciences , Cat#S6501007.

    Techniques: RNA Sequencing, Derivative Assay, Ex Vivo, Isolation, Control, Gene Expression, Expressing, Fluorescence

    (A) (Left) Outline of in vivo two-photon time-lapse microscopy in MC38-H2b-Cerulean tumors. (Middle) Representative FOVs displaying the migratory behavior of Tregs ( FoxP3 -mRFP, magenta) in untreated (top) or anti-PD-1-treated (bottom) mice in perivascular regions containing Il12 -eYFP + DCs (yellow). Scale bar represents 20 μm. Treg migratory tracks are shown in white. (Right) Observed contact duration between DCs and Tregs in each experimental group ( n = 4). Each dot represents one DC, whiskers represent mean to max. Unpaired t test; *** p < 0.001. (B) As in (A), but in Il12-p40 -eYFP; FoxP3 -mRFP; Ccl22 −/− mice (n = 5). (C) Change in contact duration between DCs and Tregs after anti-PD-1 treatment, comparing Ccl22 WT and Ccl22 −/− mice. Each dot represents one mouse, bar represents mean with SEM. Unpaired t test; * p < 0.05. (D) Quantification of the cumulative interactions of CCR7 + DCs with Tregs over time of acquisition, comparing Ccl22 WT and Ccl22 −/− mice. Shaded areas indicate confidence intervals. (E) Change in tumor volume in WT and Ccl22 -deficient mice left untreated (left), or upon anti-PD-1 therapy (right). Unpaired t test, whiskers represent min to max; * p < 0.05. See also .

    Journal: Immunity

    Article Title: Positioning and reversible suppression of CCR7 + dendritic cells in perivascular tumor niches shape cancer immunity

    doi: 10.1016/j.immuni.2025.11.020

    Figure Lengend Snippet: (A) (Left) Outline of in vivo two-photon time-lapse microscopy in MC38-H2b-Cerulean tumors. (Middle) Representative FOVs displaying the migratory behavior of Tregs ( FoxP3 -mRFP, magenta) in untreated (top) or anti-PD-1-treated (bottom) mice in perivascular regions containing Il12 -eYFP + DCs (yellow). Scale bar represents 20 μm. Treg migratory tracks are shown in white. (Right) Observed contact duration between DCs and Tregs in each experimental group ( n = 4). Each dot represents one DC, whiskers represent mean to max. Unpaired t test; *** p < 0.001. (B) As in (A), but in Il12-p40 -eYFP; FoxP3 -mRFP; Ccl22 −/− mice (n = 5). (C) Change in contact duration between DCs and Tregs after anti-PD-1 treatment, comparing Ccl22 WT and Ccl22 −/− mice. Each dot represents one mouse, bar represents mean with SEM. Unpaired t test; * p < 0.05. (D) Quantification of the cumulative interactions of CCR7 + DCs with Tregs over time of acquisition, comparing Ccl22 WT and Ccl22 −/− mice. Shaded areas indicate confidence intervals. (E) Change in tumor volume in WT and Ccl22 -deficient mice left untreated (left), or upon anti-PD-1 therapy (right). Unpaired t test, whiskers represent min to max; * p < 0.05. See also .

    Article Snippet: AF647 mouse anti-human FOXP3 (Clone AKYP0102) , Akoya Biosciences , Cat#S6501007.

    Techniques: In Vivo, Time-lapse Microscopy

    Cellular phenotyping of OX40L + cells in melanoma tumors. (a) OX40L expression on SOX10 + melanoma cells was manually assessed in 30 tumors (5–10 ROIs per tumor; 3 mm² per ROI). Representative images of membrane-associated OX40L expression and a summary of prevalence across tumors are shown. Rare OX40L + melanoma cells (<10 cells per ROI) were classified as “scattered” or “focally clustered,” whereas “widespread” distribution was defined as OX40L expression in ~10% of SOX10 + melanoma cells per ROI. (b) Exploratory OX40L immune cell phenotyping was performed on serial tumor sections from three melanoma cases. Representative multiplex immunofluorescence images illustrate OX40L expression in macrophages (CD68 + , CD163 + ), dendritic cells (CD11c + ), CD4 + T cells, CD8 + T cells, and Foxp3 + regulatory T cells. (c) Proportions of immune cell subsets within the TME across three tumors (8–15 ROIs per tumor). (d) Violin plots depicting the proportion of OX40L + cells within each immune subset. Mac, macrophages; DC, dendritic cells; T, T cells. Each dot represents one ROI, dot colors represent tumor sample, and mean and median values are shown in red squares and black diamonds.

    Journal: Frontiers in Immunology

    Article Title: Prognostic immunological implications of OX40L expression in the tumor microenvironment of melanoma

    doi: 10.3389/fimmu.2026.1745742

    Figure Lengend Snippet: Cellular phenotyping of OX40L + cells in melanoma tumors. (a) OX40L expression on SOX10 + melanoma cells was manually assessed in 30 tumors (5–10 ROIs per tumor; 3 mm² per ROI). Representative images of membrane-associated OX40L expression and a summary of prevalence across tumors are shown. Rare OX40L + melanoma cells (<10 cells per ROI) were classified as “scattered” or “focally clustered,” whereas “widespread” distribution was defined as OX40L expression in ~10% of SOX10 + melanoma cells per ROI. (b) Exploratory OX40L immune cell phenotyping was performed on serial tumor sections from three melanoma cases. Representative multiplex immunofluorescence images illustrate OX40L expression in macrophages (CD68 + , CD163 + ), dendritic cells (CD11c + ), CD4 + T cells, CD8 + T cells, and Foxp3 + regulatory T cells. (c) Proportions of immune cell subsets within the TME across three tumors (8–15 ROIs per tumor). (d) Violin plots depicting the proportion of OX40L + cells within each immune subset. Mac, macrophages; DC, dendritic cells; T, T cells. Each dot represents one ROI, dot colors represent tumor sample, and mean and median values are shown in red squares and black diamonds.

    Article Snippet: Cells were stained with fluorophore-conjugated antibodies against CD4, CD25, OX40, OX40L, and intracellular Foxp3 using the Foxp3 Buffer Set (Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Expressing, Membrane, Multiplex Assay, Immunofluorescence

    Expression of OX40L and OX40 on regulatory T cells in melanoma tumors and peripheral blood of a healthy donor. OX40L and OX40 expression were assessed on Foxp3 + regulatory T cells (Tregs) across 30 melanoma tumors using quantitative multiplex immunofluorescence analysis (10–20 ROIs per tumor; 3 mm² per ROI). (a) Representative images showing Foxp3 + Tregs within a melanoma tumor (Foxp3 + nuclei shown in orange when alone or magenta when overlaid with DAPI) co-expressing OX40L (green), OX40 (red), or both. Right panels show higher-magnification views of circled cells with individual color channels; all panels share the same scale bar, indicated in the DAPI image. (b) Box plots depicting the proportions of OX40L + , OX40 + , and double-positive Tregs across 30 tumors. The mean is indicated by a “X” mark and the median by a horizontal line (***p < 0.001, Student’s t-test). Jittered dots represent the mean value per tumor across ROIs. (c) Box plots showing the prevalence of OX40L + (green), OX40 + (red), and OX40L + /OX40L + double-positive (blue) Tregs per tumor, ordered by OX40L + frequency. Jittered dots represent individual ROIs. (d) Tregs isolated from peripheral blood of a healthy donor were enriched and expanded in vitro under IL-2/CD3/CD28 stimulation. The proportions of OX40L + and OX40 + cells within live, singlet Foxp3 + regulatory T cells, as defined in the Methods, are shown over 13 days of culture.

    Journal: Frontiers in Immunology

    Article Title: Prognostic immunological implications of OX40L expression in the tumor microenvironment of melanoma

    doi: 10.3389/fimmu.2026.1745742

    Figure Lengend Snippet: Expression of OX40L and OX40 on regulatory T cells in melanoma tumors and peripheral blood of a healthy donor. OX40L and OX40 expression were assessed on Foxp3 + regulatory T cells (Tregs) across 30 melanoma tumors using quantitative multiplex immunofluorescence analysis (10–20 ROIs per tumor; 3 mm² per ROI). (a) Representative images showing Foxp3 + Tregs within a melanoma tumor (Foxp3 + nuclei shown in orange when alone or magenta when overlaid with DAPI) co-expressing OX40L (green), OX40 (red), or both. Right panels show higher-magnification views of circled cells with individual color channels; all panels share the same scale bar, indicated in the DAPI image. (b) Box plots depicting the proportions of OX40L + , OX40 + , and double-positive Tregs across 30 tumors. The mean is indicated by a “X” mark and the median by a horizontal line (***p < 0.001, Student’s t-test). Jittered dots represent the mean value per tumor across ROIs. (c) Box plots showing the prevalence of OX40L + (green), OX40 + (red), and OX40L + /OX40L + double-positive (blue) Tregs per tumor, ordered by OX40L + frequency. Jittered dots represent individual ROIs. (d) Tregs isolated from peripheral blood of a healthy donor were enriched and expanded in vitro under IL-2/CD3/CD28 stimulation. The proportions of OX40L + and OX40 + cells within live, singlet Foxp3 + regulatory T cells, as defined in the Methods, are shown over 13 days of culture.

    Article Snippet: Cells were stained with fluorophore-conjugated antibodies against CD4, CD25, OX40, OX40L, and intracellular Foxp3 using the Foxp3 Buffer Set (Miltenyi Biotec, Bergisch Gladbach, Germany).

    Techniques: Expressing, Multiplex Assay, Immunofluorescence, Isolation, In Vitro

    Low FCN3 expression in HCC affected Treg cell activation. ( A ) Kaplan-Meier survival analysis showing the correlation between FCN3 levels and overall survival of HCC patients. ( B - D ) qRT-PCR, WB and IHC analysis of FCN3 expression in tumor ( T ) and adjacent non-tumor ( N ) tissues from HCC patients. ( E - F ) The levels of FCN3 in normal hepatocyte THLE-2 and HCC cell lines (HepG2, Hep3B, HCC-LM3) were assessed by qRT-PCR and WB. ( G - H ) qRT-PCR and WB analysis demonstrating the mRNA and protein levels of Treg cell markers FOXP3 and CD25 in clinical samples. ( I ) ELISA quantification of TGF-β1 and IL-10 in HCC tumor and adjacent non-tumor tissues. ( J - K ) The levels of FOXP3 and CD25 in PBMCs co-cultured with FCN3-knockdown or FCN3-overexpressing HCC cells were evaluated by qRT-PCR and WB. ( L ) Flow cytometry analysis of CD4⁺CD25⁺FOXP3 + Treg cell proportion in PBMCs within the co-culture systems. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. N/ THLE-2/ sh-NC/ OE-NC

    Journal: Cellular Oncology (Dordrecht, Netherlands)

    Article Title: STT3A-mediated FCN3 N-glycosylation promotes Treg cell activation to drive hepatocellular carcinoma progression via Wnt/β-catenin

    doi: 10.1007/s13402-025-01159-1

    Figure Lengend Snippet: Low FCN3 expression in HCC affected Treg cell activation. ( A ) Kaplan-Meier survival analysis showing the correlation between FCN3 levels and overall survival of HCC patients. ( B - D ) qRT-PCR, WB and IHC analysis of FCN3 expression in tumor ( T ) and adjacent non-tumor ( N ) tissues from HCC patients. ( E - F ) The levels of FCN3 in normal hepatocyte THLE-2 and HCC cell lines (HepG2, Hep3B, HCC-LM3) were assessed by qRT-PCR and WB. ( G - H ) qRT-PCR and WB analysis demonstrating the mRNA and protein levels of Treg cell markers FOXP3 and CD25 in clinical samples. ( I ) ELISA quantification of TGF-β1 and IL-10 in HCC tumor and adjacent non-tumor tissues. ( J - K ) The levels of FOXP3 and CD25 in PBMCs co-cultured with FCN3-knockdown or FCN3-overexpressing HCC cells were evaluated by qRT-PCR and WB. ( L ) Flow cytometry analysis of CD4⁺CD25⁺FOXP3 + Treg cell proportion in PBMCs within the co-culture systems. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. N/ THLE-2/ sh-NC/ OE-NC

    Article Snippet: After blocking with 5% skim milk for 2 h at room temperature, membranes were incubated overnight at 4 °C with primary antibodies against FCN3 (#ABIN521997, 1:2000; Antibodies Online, Aachen, Germany), FOXP3 (#22228-1-AP, 1:500; Proteintech), CD25 (#83896-1-RR, 1:1000; Proteintech), APC (#sc-9998, 1:500; Santa Cruz Biotechnology, Santa Cruz, CA, USA), β-catenin (#66379-1-Ig, 1:5000; Proteintech), phosphorylated β-catenin (p-β-catenin) (#80067-1-RR, 1:1000; Proteintech) or STT3A (#ab320831, 1:20000; Abcam, Cambridge, MA, USA).

    Techniques: Expressing, Activation Assay, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay, Cell Culture, Knockdown, Flow Cytometry, Co-Culture Assay

    STT3A promoted HCC development by regulating Treg cell activation in vivo. ( A ) Representative tumors of C57BL/6 mice at day 21 post-inoculation of Hepa1-6 cells with sh-STT3A or sh-NC transfection. ( B - C ) Tumor volume and body weight recorded during 21 days post Hepa1-6 cell inoculation demonstrated the effect of sh-STT3A on HCC tumor growth. ( D - F ) qRT-PCR and WB analysis of FOXP3 and CD25 in tumor tissues from HCC mice with sh-STT3A or sh-NC. ( G ) H&E-stained lung sections showing the impact of sh-STT3A on the number of metastatic nodules in HCC mice. ( H - J ) Tumor growth evaluation (images, volume, weight) in mice receiving Hepa1-6 cells with OE-NC, OE-STT3A, or OE-STT3A + DT. ( K - L ) ELISA assessing the influence of OE-STT3A and OE-STT3A + DT on TGF-β1 and IL-10 in HCC mouse tumor tissues. ( M ) Assessment of lung metastasis in HCC mice with OE-NC, OE-STT3A, or OE-STT3A + DT treatment using H&E staining. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. sh-NC/ OE-NC/ OE-STT3A

    Journal: Cellular Oncology (Dordrecht, Netherlands)

    Article Title: STT3A-mediated FCN3 N-glycosylation promotes Treg cell activation to drive hepatocellular carcinoma progression via Wnt/β-catenin

    doi: 10.1007/s13402-025-01159-1

    Figure Lengend Snippet: STT3A promoted HCC development by regulating Treg cell activation in vivo. ( A ) Representative tumors of C57BL/6 mice at day 21 post-inoculation of Hepa1-6 cells with sh-STT3A or sh-NC transfection. ( B - C ) Tumor volume and body weight recorded during 21 days post Hepa1-6 cell inoculation demonstrated the effect of sh-STT3A on HCC tumor growth. ( D - F ) qRT-PCR and WB analysis of FOXP3 and CD25 in tumor tissues from HCC mice with sh-STT3A or sh-NC. ( G ) H&E-stained lung sections showing the impact of sh-STT3A on the number of metastatic nodules in HCC mice. ( H - J ) Tumor growth evaluation (images, volume, weight) in mice receiving Hepa1-6 cells with OE-NC, OE-STT3A, or OE-STT3A + DT. ( K - L ) ELISA assessing the influence of OE-STT3A and OE-STT3A + DT on TGF-β1 and IL-10 in HCC mouse tumor tissues. ( M ) Assessment of lung metastasis in HCC mice with OE-NC, OE-STT3A, or OE-STT3A + DT treatment using H&E staining. *** p < 0.001, ** p < 0.01, * p < 0.05 vs. sh-NC/ OE-NC/ OE-STT3A

    Article Snippet: After blocking with 5% skim milk for 2 h at room temperature, membranes were incubated overnight at 4 °C with primary antibodies against FCN3 (#ABIN521997, 1:2000; Antibodies Online, Aachen, Germany), FOXP3 (#22228-1-AP, 1:500; Proteintech), CD25 (#83896-1-RR, 1:1000; Proteintech), APC (#sc-9998, 1:500; Santa Cruz Biotechnology, Santa Cruz, CA, USA), β-catenin (#66379-1-Ig, 1:5000; Proteintech), phosphorylated β-catenin (p-β-catenin) (#80067-1-RR, 1:1000; Proteintech) or STT3A (#ab320831, 1:20000; Abcam, Cambridge, MA, USA).

    Techniques: Activation Assay, In Vivo, Transfection, Quantitative RT-PCR, Staining, Enzyme-linked Immunosorbent Assay