New principle-based technologies for identifying transient protein interactions

用于识别瞬时蛋白质相互作用的基于原理的新技术

• 批准号: 8355795
• 负责人: Xiaokun Shu
• 金额: $ 236.55万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-30 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8355795
• 关键词: Animal Model; Biology; Cell physiology; DNA Sequence; Disease; Genome; Human; Label; Molecular Chaperones; Proteins; Retinal blind spot; Technology; abstracting; base; genome sequencing; new technology; new therapeutic target; protein protein interaction; public health relevance; ubiquitin-protein ligase

DESCRIPTION (Provided by the applicant) Abstract: Genome sequences of all important model organisms are now available, thanks to technological advances in high throughput DNA sequencing. The next step in understanding biology and disease is to identify protein interactome. However, unlike the genome, protein interactome is dynamic and contains weakly associated components, which hit the blind spots of current technologies. Hence, toward construction of a complete human interactome, I propose to develop a new principle-based technology for labeling and identifying both strongly and weakly interacting proteins. This new technology will be demonstrated in deorphanization of GPCRs, identification of substrates of ubiquitin E3 ligases, and identification of chaperon networks. Public Health Relevance: Protein-protein interaction networks underlie most cellular processes. To understand biology and disease and to identify new therapeutic targets, the proposed new technology aims to search, analyze and visualize protein-protein interaction networks.

描述（由申请人提供） 翻译后摘要：所有重要的模式生物的基因组序列，现在可用，由于高通量DNA测序技术的进步。理解生物学和疾病的下一步是识别蛋白质相互作用组。然而，与基因组不同的是，蛋白质相互作用组是动态的，包含弱关联的组分，这触及了当前技术的盲点。因此，为了构建一个完整的人类相互作用组，我建议开发一种新的基于原理的技术，用于标记和识别强相互作用蛋白和弱相互作用蛋白。这项新技术将在GPCR的去甲基化、泛素E3连接酶底物的鉴定和伴侣网络的鉴定中得到证实。 公共卫生相关性：蛋白质-蛋白质相互作用网络是大多数细胞过程的基础。为了了解生物学和疾病并确定新的治疗靶点，拟议的新技术旨在搜索，分析和可视化蛋白质-蛋白质相互作用网络。

项目成果

Precision Optogenetic Tool for Selective Single- and Multiple-Cell Ablation in a Live Animal Model System.

• DOI: 10.1016/j.chembiol.2016.12.010
• 发表时间: 2017-01-19
• 期刊: Cell chemical biology
• 影响因子: 8.6
• 作者: Makhijani K;To TL;Ruiz-González R;Lafaye C;Royant A;Shu X
• 通讯作者: Shu X

Dynamic Imaging of Small Molecule Induced Protein-Protein Interactions in Living Cells with a Fluorophore Phase Transition Based Approach.

• DOI: 10.1021/acs.analchem.8b03476
• 发表时间: 2018-12-18
• 期刊: Analytical chemistry
• 影响因子: 7.4
• 作者: Chung CI;Zhang Q;Shu X
• 通讯作者: Shu X