title: Cell sorting in cancer research--diminishing degree of cell heterogeneity.
abstract: Increasing evidence of intratumor heterogeneity and its augmentation due to selective pressure of microenvironment and recent achievements in cancer therapeutics lead to the need to investigate and track the tumor subclonal structure. Cell sorting of heterogeneous subpopulations of tumor and tumor-associated cells has been a long established strategy in cancer research. Advancement in lasers, computer technology and optics has led to a new generation of flow cytometers and cell sorters capable of high-speed processing of single cell suspensions. Over the last several years cell sorting was used in combination with molecular biological methods, imaging and proteomics to characterize primary and metastatic cancer cell populations, minimal residual disease and single tumor cells. It was the principal method for identification and characterization of cancer stem cells. Analysis of single cancer cells may improve early detection of tumors, monitoring of circulating tumor cells, evaluation of intratumor heterogeneity and chemotherapeutic treatments. The aim of this review is to provide an overview of major cell sorting applications and approaches with new prospective developments such as microfluidics and microchip technologies.
authors.affiliation: Program in Cellular and Molecular Medicine, Children's Hospital Boston, Harvard Medical School, Boston, MA, USA. barteneva@idi.harvard.edu
authors.forename: Natasha S
authors.initials: NS
authors.lastname: Barteneva
authors.forename: Kenneth
authors.initials: K
authors.lastname: Ketman
authors.forename: Elizaveta
authors.initials: E
authors.lastname: Fasler-Kan
authors.forename: Daria
authors.initials: D
authors.lastname: Potashnikova
authors.forename: Ivan A
authors.initials: IA
authors.lastname: Vorobjev
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor; D035843:Biomedical Research; D002469:Cell Separation / Q000379:methods*; D005434:Flow Cytometry; D018740:Genetic Heterogeneity; D006801:Humans; D046228:Microarray Analysis; D009369:Neoplasms / Q000473:pathology* / Q000628:therapy
chemical_list: D014408:Biomarkers, Tumor