Project 2: Integrin Signaling and Physical Forces

项目 2：整合素信号传导和物理力量

• 批准号: 8234227
• 负责人: Martin A Schwartz
• 金额: $ 27.46万
• 依托单位: SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-30 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8234227
• 关键词: Address; Adhesions; Area; Biosensor; Cells; Cytoskeletal Proteins; Data Analyses; Disease; Environment; Ethers; Goals; Growth; Hypertension; Image Analysis; Integrins; Investigation; Ion Channel; Malignant Neoplasms; Mechanical Stress; Mechanics; Mediating; Methods; Modeling; Molecular; Morphogenesis; Resolution; Signal Transduction; Stretching; Structure; Techniques; Tertiary Protein Structure; Work; base; blastomere structure; cell growth regulation; innovation; interest; mutant; novel; physical property; receptor; response; stem cell differentiation; tool

This project is innovative in both the questions to be addressed and many of the tools to be employed. Mechanotransduction by integrin-dependent adhesions is a major area of current interest but detailed molecular mechanisms are pooriy understood. What stands out compared to ether studies is that we propose to study these phenomena in the context of high resolution analysis of cytoskeletal and receptor dynamics. This combination is highly nevel and offers major opportunities for deeper molecular understanding of what is, in essence, a dynamic phenomenon. Additionally, numerous technical innovations will be combined in this study. These include analysis of mutants of integrins and cytoskeletal proteins, a state of the art, high resolution EM technique, novel materials, nevel biosensors, and nevel imaging and data analysis methods. The application therefore contains mulfiple innovative aspects that take it far beyond current work.

该项目在要解决的问题和许多工具方面都具有创新性， 被雇用。通过整合素依赖性粘附的机械转导是当前感兴趣的主要领域，但详细的分子机制知之甚少。与乙醚研究相比，最突出的是我们建议在细胞骨架和受体动力学的高分辨率分析的背景下研究这些现象。这种结合是非常新颖的，并提供了更深入的分子理解的主要机会，本质上是一种动态现象。此外，许多技术创新将结合在这项研究中。 这些包括整联蛋白和细胞骨架蛋白的突变体的分析，最新技术，高分辨率EM技术，新材料，nevel生物传感器，以及nevel成像和数据分析方法。因此，该应用程序包含多个创新方面，远远超出了目前的工作。