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Single-Cell mRNA Sequencing in Cancer Research: Integrating the Genomic Fingerprint
Author(s) -
Sören Müller,
Aaron A. Diaz
Publication year - 2017
Publication title -
frontiers in genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.413
H-Index - 81
ISSN - 1664-8021
DOI - 10.3389/fgene.2017.00073
Subject(s) - biology , computational biology , single cell sequencing , cancer , dna sequencing , metastasis , gene , genetics , cancer research , exome sequencing , mutation
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.

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