生物信息学
T细胞
效应器
癌症研究
细胞生物学
生物
结直肠癌
转录因子
细胞毒性T细胞
化学
计算生物学
细胞
癌细胞
表型
肿瘤微环境
基因
抗原提呈细胞
树突状细胞
基因表达调控
信号转导
功能(生物学)
电池类型
配体(生物化学)
T细胞受体
抄写(语言学)
下调和上调
抗原
基因表达
免疫疗法
ZAP70型
基因调控网络
生物信息学
作者
Ran Ran,Douglas K. Brubaker
标识
DOI:10.3389/fimmu.2025.1715827
摘要
Understanding the activation mechanisms of γδ T cells in colorectal cancer (CRC) is critical for harnessing their therapeutic potential. Here, using an atlas of human CRC-infiltrating γδ T cells that we built by integrating multiple single-cell RNA-seq datasets, we developed a γδ T cell-refined ligand inference pipeline by combining differential gene expression, gene regulatory network prediction, ligand inference, and in silico perturbation analysis. This approach identified ligands, including IL-15 and TNFSF9 (4-1BBL), as candidates promoting γδ T cell effector function and highlighted NCR2 and KLRC3 (NKG2E), whose in silico overexpression was associated with γδ T cell activation. Ligand enrichment analyses further indicated that monocytes and dendritic cells are key contributors to γδ T cell activation in the tumor microenvironment. Our results also highlighted transcription factors IKZF1, FOSL2, and FOXO1 in the less activated γδ T cells and IRF1, KLF2, and BHLHE40 in the effector γδ T cells that plausibly regulated the differential activation state. Together, our results offer a systems-level view of the signaling and transcriptional programs governing γδ T cell phenotypes in CRC and provide a foundation for γδ T cell-based immunotherapies with enhanced antitumor functions.
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