Structure, dynamics and causality in protein interaction networks

蛋白质相互作用网络的结构、动力学和因果关系

• 批准号: RGPIN-2015-05707
• 负责人: Michnick, Stephen
• 金额: $ 3.79万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613701
• 关键词: Structure; dynamics; causality; protein; interaction

Problem and Hypothesis: The importance of protein-protein interactions (PPIs) to biology is reflected in the enormous efforts to study them on a large scale, including our own efforts, which resulted in a first description of a PPI network in vivo (Tarassov, et al. Science, 2008). In the past funding period we have developed and validated a novel approach to study dynamics of biochemical networks and to determine protein functions, discovery of pathways and a novel mechanism of allostery. The method is based on measuring dynamics of homomeric protein complexes (HPC) on a large scale. Objectives: Our specific aims are: Aim 1., to construct high-quality, mechanism-based sentinels of signal transduction and metabolic pathways based on HPC and analysis of underlying mechanisms of HPC dynamics. Aim 2. To use HPC analysis and mechanism-based HPC sentinels to predict signaling and metabolic network topology under specific nutrient limitation. Aim 3. To extend HPC dynamics to multiple perturbations and prediction of organization of biochemical networks in general. Methodologies: In addition to the DHFR PCA strain array described above, we will dissect the physical basis of changes in HPCs using mass spectroscopy, GFP fusions to the proteins to determine localization and abundance and a novel infrared fluorescent protein PCA to determine changes in subcellular localization of HPC and confocal microscopy. This will result in an array of HPCs with known underlying spatiotemporal changes in proteins complexes or abundance that we call HPC “sentinels” We will further apply a pipeline of analysis tools, largely based on existing strategies, to interpret HPC dynamics on specific signaling and metabolic pathways. This study will contribute to advancement of knowledge by: 1- Providing a strategy to directly probe the dynamics of biochemical networks in vivo. 2- Providing a complement to existing genetic and mass-spectroscopic strategies for determining gene function. 3 - Revealing new principles and mechanisms of dynamic biochemical network organization. 4 - Revealing novel functions of genes for which function is presently unknown. 5 - Contributing towards solving the mystery of the principles of formation and evolution of the cellular machinery, on which we have already made some progress.

问题与假设：蛋白质-蛋白质相互作用（PPI）对生物学的重要性反映在大规模研究它们的巨大努力中，包括我们自己的努力，这导致了体内PPI网络的首次描述（Tarassov，et al. Science，2008）。在过去的资助期间，我们开发并验证了一种新的方法来研究生化网络的动态，并确定蛋白质功能，发现途径和变构的新机制。该方法是基于测量大规模的同聚蛋白质复合物（HPC）的动力学。 目标：我们的具体目标是：目标1，构建高质量的基于HPC的信号转导和代谢途径的机制哨兵，并分析HPC动力学的潜在机制。目标2.利用HPC分析和基于机制的HPC哨兵来预测特定营养限制下的信号传导和代谢网络拓扑结构。目标3。将HPC动力学扩展到一般生物化学网络组织的多重扰动和预测。 方法学：除了上述的DHFR PCA菌株阵列，我们将解剖的物理基础上的变化，HPC使用质谱，GFP融合的蛋白质，以确定本地化和丰度和一种新的红外荧光蛋白PCA，以确定HPC和共聚焦显微镜的亚细胞定位的变化。这将导致一系列HPC，其蛋白质复合物或丰度具有已知的潜在时空变化，我们称之为HPC“哨兵”。我们将进一步应用分析工具的管道，主要基于现有策略，以解释特定信号传导和代谢途径上的HPC动态。 这项研究将通过以下方式促进知识的进步： 1-提供一种直接探测体内生化网络动态的策略。 2-为确定基因功能的现有遗传和质谱策略提供补充。 3 -揭示了动态生化网络组织的新原理和机制。 4.揭示功能目前未知的基因的新功能。 5.有助于解决细胞机制的形成和进化原理之谜，我们已经取得了一些进展。