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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 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运行的生物化学的大量信息。正在开发系统生物学工具来分析和建模此数据。但是，他们无法解决如何建立细胞中分子的空间组织以及如何用于控制细胞功能的基本问题。为了回答这些问题，我们将需要新的工具和新的理论框架，这些框架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途径技术中心（TCNP），该中心将整合显微镜技术，以便将体内活细胞测量值与新的物理配方和计算工具和计算工具进行定量，以生成细胞内动力学的空间现实定量模型。然后，将通过新的测量值以及新型的细胞内操纵技术来验证模型预测。因此，3个核心技术项目，测量，模型和操纵，为阐明活细胞中的时空动态提供了一个集成的框架。这些新技术将由康涅狄格大学健康中心（UCHC）的细胞分析与建模中心（CCAM）开发和传播。该工具开发将由一系列6个驱动生物学项目促进，这些项目涵盖了细胞生物学的重大复杂问题，并且所有这些都围绕细胞如何控制其分子成分位置的问题。该技术将通过培训计划，基于Web的教学材料，分子探针的存储库以及数据和模型数据库进行传播。拟议的工作以牢固的基础为基础。 CCAM是虚拟细胞的所在地，虚拟细胞是一种用于细胞生物建模的计算环境，并且还托管了生物探测和活细胞显微镜成像方法的各种项目，以及非线性，共同焦点和广场显微镜的最先进的用户设施。 CCAM是物理，化学，软件工程和实验细胞生物学专业知识的科学家，它是医学院独特的，非常适合针对TCNP进行一致的多管齐全工作。