title: Single-Cell Analysis in Cancer Genomics.
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.
authors.affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
authors.forename: Assieh
authors.initials: A
authors.lastname: Saadatpour
authors.affiliation: Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China.
authors.forename: Shujing
authors.initials: S
authors.lastname: Lai
authors.affiliation: Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China. Electronic address: ggj@zju.edu.cn.
authors.forename: Guoji
authors.initials: G
authors.lastname: Guo
authors.affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA. Electronic address: gcyuan@jimmy.harvard.edu.
authors.forename: Guo-Cheng
authors.initials: GC
authors.lastname: Yuan
mesh_terms: D019295:Computational Biology; D015972:Gene Expression Regulation, Neoplastic; D015894:Genome, Human; D006801:Humans; D009154:Mutation; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D040901:Proteomics; D059010:Single-Cell Analysis