PROJECT 11

项目11

基本信息

批准号：
7695186
负责人：
GAVIN MACBEATH
金额：
$ 10.59万
依托单位：
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-09-01 至 2013-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7695186
关键词：
Address Algorithms Analytical Chemistry Apoptosis Apoptotic Area Biochemical Pathway Biology Biophysics Boston Calibration Caspase Cell Culture System Cells Cellular biology Cessation of life Chemistry Collaborations Communities Community Outreach Complex Computer software Computing Methodologies Data Development Devices Disadvantaged Disease Disease regression Doctor of Philosophy Documentation Education and Outreach Engineering Epidermal Growth Factor Receptor Equilibrium Europe Facility Construction Funding Category Faculty Goals Growth Factor Growth Factor Receptors Hepatocyte Hispanics Homeostasis Human Image Immune Individual Inflammatory Information Technology Institution Insulin-Like Growth Factor I International Kinetics Label Least-Squares Analysis Life Ligands Link Logic Malignant Neoplasms Mammalian Cell Mass Spectrum Analysis Measurement Mediating Methods Microfluidic Microchips Minority-Serving Institution Modeling Molecular Monitor Pathway interactions Peptides Pharmacologic Substance Physiological Population Positioning Attribute Process Protein Array Proteins Range Rate Reaction Research Research Personnel Research Project Grants Resolution Running Scientist Set protein Signal Transduction Signal Transduction Pathway Site Software Tools Staging Stress Students Systems Biology T-Cell Receptor T-Lymphocyte TNF gene TNFSF10 gene Technology Testing Tissues Training Validation Variant Weight Woman base cancer cell career cell growth cell transformation cell type cellular imaging computerized data processing cytokine data modeling design high school human disease improved interest mathematical model member microsystems model development neutrophil novel novel strategies physical science programs protein function receptor response success symposium

项目摘要

The Center for Cell Decision Processes at MIT (CDP Center; www.cdpcenter.org) applies a modiry-measuremine- model paradigm to study receptor-mediated death and survival signaling in human cells. Pro-apoptotic and inflammatory pathways downstream of TNF, TRAIL and Fas death receptors are of particular interest, as are the pro-survival and mitogenic pathways activated by the six interacting ErbBl-4, IGF-1 and cMet growth factor receptors and by the T-cell receptor. The primary goal of the Center is to build mathematical models of signal transduction using a variety of methods ranging from statistical to physicochemical. All models incorporate empirical data and are subjected to rigorous experimental validation. To collect and systematize the data necessary to train and test models, the Center develops new mass spectrometry, microsystems and imaging methods as well as software to link data and models. Education, outreach and community development are core activities of the Center, and it will continue to support activities ranging from summer courses for high school students to sabbaticals for established scientists and engineers from minority-serving institutions, international conferences in systems biology and interdisciplinary communities it has established including CSBi at MIT and the Council for Systems Biology in Boston. CDP will build on its success in research through a five-part program that stresses (1) construction, calibration and validation of models of mammalian signaling processes in accessible cell-culture systems, (2) development of new experimental methods to gather quantitative and dynamic data from small cell populations and single-cells via array-based measurement, development of microfluidic devices and new approaches to live-cell imaging, (3) an emphasis on the systems biology of specialized cells, as it applies to primary T-cells, human hepatocytes and human neutrophils and to differences between healthy and diseased states in inflammatory disease and cancer, (4) continued development of electronically enabled research cores and information technologies, particularly those that enhance data sharing and collaboration, and (5) continued commitment to outreach and education through balanced programs with broad impact and those with the potential to substantially enhance individual careers

MIT（CDP中心; www.cdpcenter.org）的细胞决策过程中心采用了平淡的菌蛋白模型范式来研究人类细胞中受体介导的死亡和存活信号传导。 TNF，TRAIL和FAS死亡受体下游的促凋亡和炎症途径以及六种相互作用的ERBBL-4，IGF-1和CMET生长因子受体以及T-Cell受体激活的促生存和有丝分裂途径也特别感兴趣。该中心的主要目标是使用从统计到理化的多种方法来构建信号转导的数学模型。所有模型都包含经验数据，并经过严格的实验验证。为了收集和系统化训练和测试模型所需的数据，该中心开发了新的质谱，微型系统和成像方法以及软件以链接数据和模型。教育，外展和社区发展是该中心的核心活动，它将继续支持从高中生的夏季课程到少数派服务机构的知名科学家和工程师的休假，系统生物学和跨学科社区的国际会议，包括MIT和Systems of Systems Biboston的CSBI，包括CSBI，包括Boston的CSBI。 CDP将通过一项五部分的计划在研究中取得成功，该计划（1）（1）在可访问的细胞培养系统中的哺乳动物信号传导过程的构建，校准和验证，（2）开发新的实验方法，以通过基于阵列的测量和新型方法来收集小型细胞种群和单细胞的定量和动态数据，以实现微型的开发（3个），以实现（3）的开发（3个），以实现（3个）的开发（3），以实现（3），以实现（3），以实现（3）的新方法，以实现（3）的新型方法，以实现（3）的新方法，以实现（新方法），以实现新型方法，以实现（新的）方法，以实现（新的）方法，以实现（新的）方法，以实现（3），以实现（新的）方法，以实现（新的）方法，即专门细胞的生物学适用于主要T细胞，人肝细胞和人类嗜中性粒细胞，以及在炎症性疾病和癌症中健康和患病状态之间的差异，（4）（4）（4）继续发展具有电子启用的研究核心和信息技术，尤其是那些通过增强数据共享和协作以及（5）持续启动的计划，以及（5）持续启动的计划，以及（5），（5），（5）