Exosomes derived from B16F0 melanoma cells alter the transcriptome of cytotoxic T cells that impacts mitochondrial respiration

CL Bland, CN Byrne‐Hoffman, A Fernandez… - The FEBS …, 2018 - Wiley Online Library
CL Bland, CN Byrne‐Hoffman, A Fernandez, SL Rellick, W Deng, DJ Klinke
The FEBS journal, 2018Wiley Online Library
While recent clinical studies demonstrate the promise of cancer immunotherapy, a barrier for
broadening the clinical benefit is identifying how tumors locally suppress cytotoxic immunity.
As an emerging mode of intercellular communication, exosomes secreted by malignant cells
can deliver a complex payload of coding and noncoding RNA to cells within the tumor
microenvironment. Here, we quantified the RNA payload within tumor‐derived exosomes
and the resulting dynamic transcriptomic response to cytotoxic T cells upon exosome …
While recent clinical studies demonstrate the promise of cancer immunotherapy, a barrier for broadening the clinical benefit is identifying how tumors locally suppress cytotoxic immunity. As an emerging mode of intercellular communication, exosomes secreted by malignant cells can deliver a complex payload of coding and noncoding RNA to cells within the tumor microenvironment. Here, we quantified the RNA payload within tumor‐derived exosomes and the resulting dynamic transcriptomic response to cytotoxic T cells upon exosome delivery to better understand how tumor‐derived exosomes can alter immune cell function. Exosomes derived from B16F0 melanoma cells were enriched for a subset of coding and noncoding RNAs that did not reflect the abundance in the parental cell. Upon exosome delivery, RNAseq revealed the dynamic changes in the transcriptome of CTLL2 cytotoxic T cells. In analyzing transiently coexpressed gene clusters, pathway enrichment suggested that the B16F0 exosomal payload altered mitochondrial respiration, which was confirmed independently, and upregulated genes associated with the Notch signaling pathway. Interestingly, exosomal miRNA appeared to have no systematic effect on downregulating target mRNA levels.
Databases
Gene expression data are available in the GEO database under the accession SuperSeries number GSE102951.
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