POLARITY IN NETWORKS AND PATHWAYS

网络和途径的极性

• 批准号: 7961250
• 负责人: LESLIE M LOEW
• 金额: $ 240.46万
• 依托单位: UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7961250
• 关键词: Address; Arts; Automobile Driving; Biochemistry; Biological; Biological Models; Biophotonics; Cell physiology; Cells; Cellular Morphology; Cellular biology; Chemistry; Communities; Complex; Computer Retrieval of Information on Scientific Projects Database; Connecticut; Databases; Drug Formulations; Environment; Foundations; Funding; Grant; Health; Home environment; Institution; Life; Location; Measurement; Measures; Microscope; Microscopic; Microscopy; Modeling; Molecular; Molecular Probes; Online Systems; Pathway interactions; Physics; Proteomics; Research; Research Personnel; Resources; Series; Software Engineering; Source; Systems Biology; Technology; Training Programs; United States National Institutes of Health; Universities; Work; computerized tools; data modeling; imaging modality; in vivo; medical schools; new technology; novel; repository; spatiotemporal; tool; tool development; virtual

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. DESCRIPTION (provided by applicant): Existing proteomics technologies can provide a wealth of information about the biochemistry operating in cells. And systems biology tools are being developed to analyze and model this data. However, they fail to address the fundamental questions of how the spatial organization of molecules in cells is established and how it is utilized to control cell function. To answer these, we will need new tools and new theoretical frameworks that specifically include consideration of cell morphology and dynamic spatial molecular distributions. This proposal aims to establish a Technology Center for Networks and Pathways (TCNP) that will integrate microscope technologies for making quantitative in vivo live cell measurements with new physical formulations and computational tools that will produce spatially realistic quantitative models of intracellular dynamics. The model predictions will then be validated with new measurements as well as novel intracellular manipulation technologies also to be developed in our proposed TCNP. Thus, 3 core technology projects, Measure, Model and Manipulate, provide an integrated framework for elucidating spatiotemporal dynamics in living cells. These new technologies will be developed and disseminated by the Center for Cell Analysis and Modeling (CCAM) at the University of Connecticut Health Center (UCHC). The tool development will be motivated by a series of 6 Driving Biological Projects that cover major complex problems in cell biology and that all revolve around the issue of how the cell controls the locations of its molecular components. The technology will be disseminated throughout the research community via training programs, web-based instructional material, a repository of molecular probes and a database of data and models. The proposed work builds on a firm foundation. CCAM is the home of the Virtual Cell, a computational environment for cell biological modeling, and also hosts a variety of projects in biophotonics and live cell microscopic imaging methods as well as a state-of-the-art user facility for nonlinear, confocal, and widefield microscopy. CCAM is the scientific home of an extraordinary confluence of expertise in physics, chemistry, software engineering and experimental cell biology that is unique for a medical school and is ideal for the concerted multi-pronged effort that is planned for the TCNP.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 描述（由申请人提供）：现有的蛋白质组学技术可以提供有关细胞中生物化学运作的大量信息。系统生物学工具正在开发中来分析和建模这些数据。然而，他们未能解决细胞中分子的空间组织是如何建立以及如何利用它来控制细胞功能的基本问题。为了回答这些问题，我们需要新的工具和新的理论框架，其中特别包括对细胞形态和动态空间分子分布的考虑。该提案旨在建立一个网络和通路技术中心（TCNP），将用于定量体内活细胞测量的显微镜技术与新的物理公式和计算工具相结合，从而产生细胞内动力学的空间真实定量模型。然后，模型预测将通过新的测量以及我们提议的 TCNP 中开发的新型细胞内操作技术进行验证。因此，测量、建模和操作这三个核心技术项目为阐明活细胞的时空动态提供了一个综合框架。这些新技术将由康涅狄格大学健康中心 (UCHC) 的细胞分析和建模中心 (CCAM) 开发和传播。该工具的开发将受到一系列 6 个驱动生物学项目的推动，这些项目涵盖了细胞生物学中的主要复杂问题，并且全部围绕细胞如何控制其分子组件的位置的问题。该技术将通过培训计划、网络教学材料、分子探针存储库以及数据和模型数据库在整个研究界传播。拟议的工作建立在坚实的基础上。 CCAM 是虚拟细胞（用于细胞生物建模的计算环境）的所在地，还主持生物光子学和活细胞显微成像方法的各种项目，以及用于非线性、共焦、和宽视野显微镜。 CCAM 是物理、化学、软件工程和实验细胞生物学领域非凡专业知识的科学家园，这对于医学院来说是独一无二的，也是 TCNP 计划的多管齐下协调努力的理想选择。