Barteneva Natasha S, Ketman Kenneth, Fasler-Kan Elizaveta, Potashnikova Daria, Vorobjev Ivan A
Program in Cellular and Molecular Medicine, Children's Hospital Boston, Harvard Medical School, Boston, MA, USA.
Biochim Biophys Acta. 2013 Aug;1836(1):105-22. doi: 10.1016/j.bbcan.2013.02.004. Epub 2013 Feb 24.
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.
越来越多的证据表明肿瘤内存在异质性,并且由于微环境的选择性压力,这种异质性会进一步增强,加之癌症治疗领域的最新进展,这使得研究和追踪肿瘤亚克隆结构变得十分必要。对肿瘤及肿瘤相关细胞的异质性亚群进行细胞分选,一直是癌症研究中一项长期确立的策略。激光、计算机技术和光学技术的进步催生了新一代能够对单细胞悬液进行高速处理的流式细胞仪和细胞分选仪。在过去几年中,细胞分选技术与分子生物学方法、成像技术和蛋白质组学相结合,用于表征原发性和转移性癌细胞群体、微小残留病和单个肿瘤细胞。它是鉴定和表征癌症干细胞的主要方法。对单个癌细胞的分析可能会改善肿瘤的早期检测、循环肿瘤细胞的监测、肿瘤内异质性的评估以及化疗治疗。本综述的目的是概述主要的细胞分选应用和方法,以及微流控和微芯片技术等新的前瞻性发展。