Fig. 4: mGluR4 alters the profile of tumor-infiltrating lymphocytes.

A KEGG pathway enrichment of tumor-infiltrating CD4⁺, CD8⁺ T, and NK cells from GSEA analysis. B Violin diagrams and (C) dot plots showing differentially expressed genes in Hepa1-6BL tumor infiltrating CD8⁺ T and NK cells, respectively. D The communication analysis between different DC and CD8⁺ T cell clusters by calculating the receptor-ligand interactions. E Dot plots of selected ligand-receptor interacting pairs between clusters 8 DCs and clusters 1 CD8⁺ T cells computed using CellPhoneDB. Point shade reflects the log2 Mean of average expression levels of interacting molecule 1 from cluster 1 and interacting molecule 2 from cluster 2. Point size indicates the -log10 (p value). F Representative contour plots and the proportion of PD-1, DNAM-1, TIM3, and LAG3 expression in Hepa1-6BL tumor infiltrating CD4⁺ and CD8⁺ T cells (n = 6 mice per group). G The number of unique clones of the nucleotide sequence combination chain in the CDR3 region in tumor-infiltrating T cells. H The relative distribution of the number of clonotypes by abundance for T cells. I The relative proportion of the number of clones to the total by frequency of occurrence in all T cells. 1:10 means the top 10 clonotypes in each sample. 11:100 means the number of clones ranked from 11 to 100. 101:1000 means the number of clones ranked from 101 to 1000. J The relative proportion of clones at specific proportions to the total number of immune receptor sequences. The specific proportion of clonotypes is classified as small from 0.0001 to 0.001, medium from 0.001 to 0.01, and large from 0.01 to 0.1. Data were presented as mean ± SEM. Statistical significance was determined by unpaired t-test two-tailed (F) and student’s t-test one-sided corrected with Benjamini-Hochberg adjustment (A, B). All biological experiments were repeated at least three times and yielded consistent results. Source data are provided as a Source Data file.