PROJECT 9

项目9

基本信息

批准号：
7695179
负责人：
JEREMY GUNAWARDENA
金额：
$ 9.7万
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/7695179
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

麻省理工学院细胞决策过程中心（CDP 中心；www.cdpcenter.org）应用 modiry-measuremine- 模型范例来研究人类细胞中受体介导的死亡和生存信号传导。 TNF、TRAIL 和 Fas 死亡受体下游的促凋亡和炎症途径特别令人感兴趣，由六种相互作用的 ErbBl-4、IGF-1 和 cMet 生长因子受体以及 T 激活的促生存和有丝分裂途径也是如此。 -细胞受体。该中心的主要目标是使用从统计到物理化学的各种方法建立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。为了收集训练和测试模型所需的数据并将其系统化，该中心开发了新的质谱、微系统和成像方法以及连接数据和模型的软件。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暑期课程到少数族裔服务机构知名科学家和工程师的休假、系统生物学国际会议和跨学科社区等活动。已成立的机构包括麻省理工学院的 CSBi 和波士顿的系统生物学委员会。 CDP 将通过一个由五部分组成的计划来巩固其研究成功，该计划强调 (1) 在可访问的细胞培养系统中构建、校准和验证哺乳动物信号传导过程模型，(2) 开发新的实验方法来收集定量和动态数据通过基于阵列的测量获得小细胞群和单细胞的数据、微流体装置的开发和活细胞成像的新方法，(3) 强调特殊细胞的系统生物学，因为它适用于原代 T 细胞，人类肝细胞和人类中性粒细胞以及健康状态和患病状态之间在炎症性疾病和癌症方面的差异，(4) 继续开发电子化的研究核心和信息技术，特别是那些加强数据共享和协作的技术，以及 (5) 继续致力于通过平衡的方式进行外展和教育具有广泛影响力和有潜力大幅提升个人职业生涯的计划