Single-Cell Ssequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools

초록

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.

키워드

Computational Biology; Epigenomics; Genetic Heterogeneity; Immunotherapy; Neoplasms; Single-cell Analysis
제목
Single-Cell Ssequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools
저자
Sierant, Michael C.; Choi, Jung min
DOI
10.5808/GI.2018.16.4.e17
발행일
2018-12
유형
Review
저널명
Genomics & Informatics
권
16
호
4
페이지
17 ~ 17