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

U 54应用程序的总体目标是创建和支持一个高度多学科的专家肿瘤学家，生物学家，生物化学家，工程师以及理论和实验物理学家团队。该研究小组将在马萨诸塞州癌症单细胞动力学技术研究所（SCDC）成立一个物理科学-肿瘤学中心（PS-OC）。该团队的首要目标是使用物理学和工程学启发的理论和实验方法来解决癌症中的重要问题 通过开发新的技术和分析/计算方法来跟踪单细胞水平上的癌症动态，我们团队的大多数研究人员都隶属于波士顿地区的研究所，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布罗德研究所、哈佛医学院、布里格姆妇女医院和波士顿大学。其他几个研究机构位于西海岸，包括加州大学，旧金山弗朗西斯科和 斯坦福大学。其中一名团队成员位于荷兰乌得勒支的Hubrecht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，单细胞转录本计数将用于开发干细胞的定量模型， 在健康组织和癌症中的分化和重编程。项目2利用互补的计算机模拟、体外和体内研究来解卷积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侧重于通过建模肿瘤进展和分析来表征癌症中驱动和乘客突变的负荷。 基因组数据所有项目将使单细胞转录计数核心和细胞分选和物理测量核心广泛。这些设施和由核心产生的所有试剂将提供给其他PS-OC。

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.