STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets

利用 STARTRAC 对肿瘤模型单细胞 RNA 测序数据进行分析,揭示了 T 细胞动力学和治疗靶点。

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作者:Dev Bhatt # ,Boxi Kang # ,Deepali Sawant # ,Liangtao Zheng # ,Kristy Perez ,Zhiyu Huang ,Laura Sekirov ,Dan Wolak ,Julie Y Huang ,Xian Liu ,Jason DeVoss ,Paolo S Manzanillo ,Nathan Pierce ,Zemin Zhang ,Antony Symons ,Wenjun Ouyang

Abstract

Single-cell RNA sequencing is a powerful tool to examine cellular heterogeneity, novel markers and target genes, and therapeutic mechanisms in human cancers and animal models. Here, we analyzed single-cell RNA sequencing data of T cells obtained from multiple mouse tumor models by PCA-based subclustering coupled with TCR tracking using the STARTRAC algorithm. This approach revealed various differentiated T cell subsets and activation states, and a correspondence of T cell subsets between human and mouse tumors. STARTRAC analyses demonstrated peripheral T cell subsets that were developmentally connected with tumor-infiltrating CD8+ cells, CD4+ Th1 cells, and T reg cells. In addition, large amounts of paired TCRα/β sequences enabled us to identify a specific enrichment of paired public TCR clones in tumor. Finally, we identified CCR8 as a tumor-associated T reg cell marker that could preferentially deplete tumor-associated T reg cells. We showed that CCR8-depleting antibody treatment provided therapeutic benefit in CT26 tumors and synergized with anti-PD-1 treatment in MC38 and B16F10 tumor models.

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