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STARTRAC analyses of scRNAseq data from a mouse tumor model reveal T cell dynamics and therapeutic targets in cancer

ABSTRACT: STARTRAC analyses of scRNAseq data from a mouse tumor model reveal T cell dynamics and therapeutic targets in cancer

PROVIDER: PRJNA714649 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13966700.fastq.gz	Fastqsanger.gz
	SRR13966701.fastq.gz	Fastqsanger.gz
	SRR13966702.fastq.gz	Fastqsanger.gz
	SRR13966703.fastq.gz	Fastqsanger.gz
	SRR13966704.fastq.gz	Fastqsanger.gz

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

Project description: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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