Single-Cell Analysis in Cancer Genomics. Issue 10 (October 2015)

• Record Type: Journal Article
• Authors: Saadatpour, Assieh; Lai, Shujing; Guo, Guoji; Yuan, Guo-Cheng
• Is Part Of: Trends in genetics. Volume 31:Issue 10(2015)
• Page Start: 576
• Page End: 586
• Publication Date: 2015-10
• Subjects: Genetics -- Periodicals; 576.5
• DOI: 10.1016/j.tig.2015.07.003
• Languages: English
• ISSNs: 0168-9525

Abstract

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. Trends: Recent advances in single-cell technologies have enabled researchers to profile mutations and expression levels of a large number of genes and proteins at individual cells. Developments of new computational methods have greatly aided the calibration, quantification, and interpretation of single-cell data. Single-cell analysis has been applied to study cancer initiation, variation, and evolution and will have potentially high clinical impact.