Single-cell mRNA sequencing in cancer research: Integrating the genomic fingerprint

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Abstract

Critical cancer mutations are often regional and mosaic, confounding the efficacy of targeted therapeutics. Single cell mRNA sequencing (scRNA-seq) has enabled unprecedented studies of intra-tumor heterogeneity and its role in cancer progression, metastasis, and treatment resistance. When coupled with DNA sequencing, scRNA-seq allows one to infer the in vivo impact of genomic alterations on gene expression. This combination can be used to reliably distinguish neoplastic from non-neoplastic cells, to correlate paracrine-signaling pathways between neoplastic cells and stroma, and to map expression signatures to inferred clones and phylogenies. Here we review recent advances in scRNA-seq, with a special focus on cancer. We discuss the challenges and prospects of combining scRNA-seq with DNA sequencing to assess intra-tumor heterogeneity.

Figures

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  • FIGURE 3 | Inference of TAM-tumor crosstalk from scRNA-seq. Genes encoding ligands robustly expressed by at least 20% of TAMs with an average expression >2 CPM are paired with genes encoding their cognate receptors that are expressed in tumor cells. Each row represents a potential tumor-TAM interaction, bars represent the percentage of cells expressing each mRNA, colors indicate mean expression across cells.

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CITATION STYLE

APA

Müller, S., & Diaz, A. (2017, May 31). Single-cell mRNA sequencing in cancer research: Integrating the genomic fingerprint. Frontiers in Genetics. Frontiers Media S.A. https://doi.org/10.3389/fgene.2017.00073

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