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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
Cd4 Antibody, Anti Mouse, Reafinity, 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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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of <t>CD4</t> + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.
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The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of CD4 + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.

Journal: Clinical and Translational Medicine

Article Title: ZC3H13‐mediated m6A stabilization of CCND1 promotes malignant progression and is associated with poor anti‐PD‐1 response in HNSCC

doi: 10.1002/ctm2.70750

Figure Lengend Snippet: The ZC3H13/CCND1 axis remodels the HNSCC immune microenvironment and the proposed mechanistic model. (A) Gene Ontology (GO) enrichment analysis revealing biological pathways related to the negative regulation of cell activation and apoptosis. (B) Bar plot illustrating the changes in the proportion of CD4 + T cells between the Pre‐ and Post‐immunotherapy groups. (C) Boxplot comparing the quantitative CytoTRACE scores before and after immunotherapy (Pre vs. Post). (D) UMAP feature plots displaying the spatial distribution of cell differentiation states (CytoTRACE scores) in Pre‐ and Post‐treatment samples. (E) Violin plot demonstrating the significant difference in CD4+ T cell exhaustion scores between the Pre and Post treatment groups. (F) The relative mRNA expression levels of key immune checkpoint molecules (PDCD1, LAG3, CTLA4) in CCND1‐low and CCND1‐high groups were determined by RT‐qPCR. (G) Representative multiplex immunofluorescence images showing CCND1, CD4, PD‐1 and DAPI staining in mouse HNSCC tissues from control and ZC3H13‐deficient groups. Scale bar, 20 µm. (H) The quantification for the multiplex immunofluorescence (mIF) staining in the tumour microenvironment. (I) Schematic mechanistic model. Data are presented as the mean ± SD. *** p < .001.

Article Snippet: Sections were incubated with the indicated primary antibodies at room temperature for 1 h: CD4 (HY‐ P83756 , MCE, 1:500), CCND1 (HY‐ P80098 , MCE, 1:50), and PD‐1 (84651, Cell Signaling Technology, 1:100) in the optimized order of CD4, CCND1, and PD‐1.

Techniques: Activation Assay, Cell Differentiation, Expressing, Quantitative RT-PCR, Multiplex Assay, Immunofluorescence, Staining, Control