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从拟南芥蛋白质相互作用网络地图的演化和系统的组织特征

Signatures of evolution and systems organization from an Arabidopsis interactome network map
课程网址: http://videolectures.net/mlsb2012_braun_signatures/  
主讲教师: Pascal Falter-Braun
开课单位: 慕尼黑工业大学
开课时间: 2012-10-23
课程语种: 英语
中文简介:
阐明生命机制需要分析整个系统并理解各个组件的复杂相互作用。蛋白质控制和介导大多数生物活性和蛋白质之间的相互作用在细胞行为的动态调节中起决定性作用。蛋白质 - 蛋白质相互作用是所有细胞的重要组成部分,相互作用组分析是寻求系统水平理解生命的重要组成部分。我们使用实验和计算绘图和分析工具,以不断增加的完整性和质量探索酵母,人和植物的interactome网络。基于基准测试和标准化参考集,我们开发了实验方法和数学模型,用于定量评估interactome图的完整性和质量。这些模型可以对当前地图进行严格评估,并指导路线图的制定完成。最近完成了参考植物拟南芥(Arabidopsis thaliana)的第一个二元相互作用组网络的作图。使用图论的工具,我们识别生物相关的网络社区,从中开始出现整个interactome网络组织的图片。相互作用和比较基因组学数据的结合产生了对网络进化的见解,并且生物学检查导致了对未知蛋白质的许多假设,并揭示了先前研究的植物激素信号传导途径组分之间的意外连接。通过网络,我们探索了细菌和真菌病原体如何干扰其宿主的网络。来自进化远缘病原体的病原体效应物被发现聚集在网络集线器上,这些集线器出现了“保护”状态。通过抗性蛋白质,我们证明它对宿主的免疫反应具有功能重要性。在遗传上,我们能够验证由两种病原体靶向的> 90%的拟南芥蛋白。我们一起展示了高质量的蛋白质相互作用网络图如何为我们提供阐明生物系统基本规律的工具。
课程简介: Elucidating mechanisms of life requires analysis of whole systems and understanding the complex interplay of the individual components. Proteins control and mediate the majority of biological activities and interactions among proteins play a decisive role in the dynamic modulation of cellular behavior. Protein-protein interactions are essential constituents of all cells and interactome analysis is an important component in the quest for a systems level understanding of life. We explore interactome networks for yeast, human and plant at ever increasing completeness and quality using both experimental and computational mapping and analysis tools. Based on benchmarking and standardized reference sets we have developed experimental approaches and mathematical models for the quantitative evaluation of the completeness and quality of interactome maps. These models enable a critical assessment of current maps and guide development of a roadmap towards completion. Recently mapping of the first binary interactome network for the reference plant Arabidopsis thaliana was completed. Using tools of graph theory we identify biologically relevant network communities from which a picture of the overall interactome network organization starts to emerge. Combination of interaction and comparative genomics data yielded insights into network evolution, and biological inspection resulted in many hypotheses for unknown proteins and revealed unexpected connectivity between previously studied components of phytohormone signaling pathways. Using the network we explored how bacterial and fungal pathogens perturb their host’s network. Pathogen effectors from evolutionary distant pathogens were found to converge on network hubs, which appear “guarded” by resistance proteins, and which we show to be functionally important for the host’s immune responses. Genetically, we were able to validate >90% of the Arabidopsis proteins targeted by both pathogens. Together, we show how high-quality protein interactome network maps provide us with tools for elucidating fundamental laws underlying biological systems.
关 键 词: 蛋白质; 细胞; 生物; 基因
课程来源: 视频讲座网
最后编审: 2020-10-14:yumf
阅读次数: 64