The MIT Center for Single-Cell Dynamics in Cancer (SCDC)

U54应用程序的总体目标是创建和支持一支由专业肿瘤学家、生物学家、生物化学家、工程师以及理论和实验物理学家组成的高度多学科的团队。该团队将在麻省理工学院癌症单细胞动力学中心(SCDC)建立一个物理科学-肿瘤学中心(PS-OC)。该团队的首要目标是使用受物理学和工程学启发的理论和实验方法，通过开发在单细胞水平上跟踪癌症动态的新技术和分析/计算方法来解决癌症生物学中的重要问题。我们团队的大多数研究人员都隶属于波士顿地区的机构，包括麻省理工学院、怀特黑德生物医学研究所、麻省理工学院和哈佛大学的博德研究所、哈佛医学院、布里格姆妇女医院和波士顿大学。其他几家调查机构位于西海岸，包括加州大学旧金山分校和斯坦福大学。其中一名团队成员位于荷兰乌得勒支的胡布里切特研究所和大学医学中心。SCDC PS-OC将基于来自三个领域的研究人员之间的密切合作：癌症生物学、实验物理/工程和理论/计算物理。在项目1中，将使用单细胞转录本计数来开发干细胞分化和在健康组织和癌症中重新编程的定量模型。项目2利用互补的电子计算机、体外和体内研究来解开T细胞淋巴瘤中的RAS信号网络。项目3将探索正常细胞和癌细胞中细胞生长和分裂的协调，项目4专注于通过对肿瘤进展进行建模和分析基因组数据来表征癌症中司机和乘客突变的负载。所有项目都将广泛使用单细胞成绩单计数核心和细胞分类和物理测量核心。这些设施和堆芯产生的所有试剂将提供给其他PS-OCS。

The overall goal of this U54 application is to create and support a highly multidisciplinary team of expert oncologists, biologists, biochemists, engineers and both theoretical and experimental physicists. This team will form a Physical Science-Oncology Center (PS-OC) at the Massachusetts Institute of Technology for Single-Cell Dynamics in Cancer (SCDC). The overarching goal of this team is to use both theoretical and experimental approaches inspired by Physics and Engineering to attack important problems in cancer biology by developing novel technology and analytical/computational methods to track the dynamics of cancer at the single cell level. Most investigators from our team are affiliated with institutes in the Boston area including MIT, the Whitehead Institute for Biomedical Research, the Broad Institute of MIT and Harvard, Harvard Medical School, Brigham and Women's Hospital, and Boston University. Institutions from several other investigators are located at the West coast including the University of California, San Francisco and Stanford University. One of team members is located at the Hubrecht Institute and University Medical Center Utrecht in the Netherlands. The SCDC PS-OC will be based on close collaborations between investigators originating from three fields: cancer biology, experimental physics/engineering and theoretical/computational physics. In Project 1 single-cell transcript counting will be use to develop quantitative models of stem cell differentiation and reprogramming in healthy tissue and cancer. Project 2 utilizes complementary in silico, in vitro, and in vivo studies to deconvolute Ras signaling networks in T cell lymphoma. Project 3 will explore the coordination of cell growth and division in normal and cancer cells and Project 4 focuses on characterizing the load of driver and passenger mutations in cancer by modeling neoplastic progression and analyzing genomic data. All projects will make extensive of the Single-Cell Transcript Counting Core and the Cell Sorting and Physical Measurement Core. These facilities and all reagents generated by the cores will be made available to other PS-OCs.