In vitro characterization of human brain tumor "stem" cells: A lineage centric approach to phenotype characterization using multi-generation live cell imaging and tracking

该合作项目的目标是开发新的和潜在的高影响力的方法，用于癌症的诊断，预后和治疗计划-我们研究成果的最终用户将是临床肿瘤学家。我们将通过协同结合医学和工程学中的两个最新概念性进展来实现这一目标：癌症干细胞假说和用于体外克隆谱系跟踪和分析的谱系信息学的发展。Jervis实验室开发的先进机器人显微镜和信息学软件将用于研究人类肿瘤干细胞系和肿瘤活检样本来源的原代细胞的谱系树结构和动态表型轨迹。人细胞系已经在小鼠模型中接受了重要的体内分析，因此这些细胞系的肿瘤引发特性是明确的。将使用相关性和模式识别分析来开发关于体内小鼠实验和原始肿瘤细胞来源患者的最终处置的观察到的谱系树和表型的分类方案。

The goal of this collaborative project is the development of novel and potentially high impact methods for diagnosis, prognosis and therapy planning in cancer - the end user of our research outcomes will be the clinical oncologist. We will achieve this goal by synergistically combining two recent conceptual advancements in medicine and engineering: the cancer stem cell hypothesis and the development of lineage informatics for in vitro clonal lineage tracking and analysis. Sophisticated robotic microscopes and informatics software developed in the laboratory of Jervis will be used to investigate the lineage tree structure and dynamic phenotype trajectories of human tumor stem cell lines and primary cells derived from tumor biopsy samples. The human cell lines have already received significant in vivo analysis in mouse models, so the tumor initiating properties of these cell lines in well defined. Correlation and pattern recognition analysis will be used to develop classification schemes for observed lineage trees and phenotypes with respect to in vivo mouse experiments and final disposition of the original tumor cell source patient.