Genomics Inform.
2018 Dec;16(4):e17. 10.5808/GI.2018.16.4.e17.
Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
- Affiliations
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- 1Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA. jungmin.choi@rockefeller.edu
- 2Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.
- KMID: 2439207
- DOI: http://doi.org/10.5808/GI.2018.16.4.e17
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.
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