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Genomics Inform > Volume 16(4); 2018 > Article
DOI: https://doi.org/10.5808/GI.2018.16.4.e17    Published online December 28, 2018.
Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
Michael C Sierant1, Jungmin Choi1,2
1Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
2Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY, USA
Corresponding author:  Jungmin Choi
Tel: +1-212-327-7466   Fax: +1-212-327-8090   Email: jungmin.choi@rockefeller.edu
Received: December 13, 2018   Revised: December 21, 2018   Accepted: December 21, 2018
Abstract
Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.
Keywords: Computational Biology, Epigenomics, Genetic Heterogeneity, Immunotherapy, Neoplasms, Single-cell Analysis
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