Single-Cell Analysis in Cancer Genomics

Trends Genet. 2015 Oct;31(10):576-586. doi: 10.1016/j.tig.2015.07.003.

Abstract

Genetic changes and environmental differences result in cellular heterogeneity among cancer cells within the same tumor, thereby complicating treatment outcomes. Recent advances in single-cell technologies have opened new avenues to characterize the intra-tumor cellular heterogeneity, identify rare cell types, measure mutation rates, and, ultimately, guide diagnosis and treatment. In this paper we review the recent single-cell technological and computational advances at the genomic, transcriptomic, and proteomic levels, and discuss their applications in cancer research.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Computational Biology
  • Gene Expression Regulation, Neoplastic
  • Genome, Human*
  • Humans
  • Mutation
  • Neoplasms / genetics*
  • Neoplasms / pathology
  • Proteomics*
  • Single-Cell Analysis*