NEW TOOLS FOR EXPLORING THE DYNAMIC INTERACTOME

探索动态交互组的新工具

• 批准号: 8359911
• 负责人: MICHAEL P ROUT
• 金额: $ 323.5万
• 依托单位: ROCKEFELLER UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8359911
• 关键词: Area; Biological; Cell Nucleus; Cell physiology; Cells; Cellular biology; Chromatin; Communities; Complex; Computational Biology; Coupling; Cytomegalovirus; Dancing; Data; Eukaryota; Freezing; Funding; Genetic; Genetic Transcription; Genome; Genomics; Grant; HIV; Hand; Human Virus; Laboratories; Macromolecular Complexes; Mass Spectrum Analysis; Methods; National Center for Research Resources; Nucleic Acids; Pathway interactions; Positioning Attribute; Principal Investigator; Process; Production; Property; Proteins; Proteomics; RNA; Research; Research Infrastructure; Resources; Source; Staging; Stretching; Structural Protein; Structure; System; Systems Biology; Techniques; Technology; Testing; Time; United States National Institutes of Health; Walking; cost; empowered; functional genomics; macromolecule; novel strategies; rapid technique; software development; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. DESCRIPTION (provided by applicant): The genomic revolution has been empowered by technologies that have determined a vast pool of genetic information. While nucleic acids encode this information, it is the proteins that act on it. Proteins are incredibly diverse in their abundance & their properties, making them highly versatile for the dynamic tasks at hand but at the same time exceptionally difficult to analyze. It is for these reasons that the proteomic revolution still lags behind the genomic revolution. Indeed, the comprehensive analysis of the dynamic properties of proteins in cells is still largely beyond current capabilities. Here, we seek to revolutionize proteomics by synergistically combining improvements in established techniques with new approaches. We will overcome major bottlenecks in 3 key areas of proteomics technology. First, we will reform the production stage for generating intact macromolecular complexes, so that we will be able to freeze a tagged macromolecular complex in place, within moments of visualizing its position in the cell, & then isolate it together with all its components & neighbors. Second, we will optimize the analysis of each complex such that its macromolecular composition, structure, & dynamics will be quantified & analyzed. Third, we will develop software to integrate our data & represent in unprecedented detail the actions of the macromolecular players in many dynamic subcellular assemblies. We will seek to make these techniques rapid, robust & routine by beta testing them in 4 experimental systems. These systems focus on aspects of the genetic information pathway, because (i) this is core to eukaryotes, & (ii) it will allow us to develop techniques to analyze the interactions of all 3 information-carrying biological macromolecules (DMA, RNA & proteins). First, we will walk along great stretches of chromatin, determining the normal flux of structural proteins & regulatory factors that together comprise dynamic segments of the genome. Second, we will follow the course of RNA after transcription, as it is processed, packaged & exported from the nucleus; we will enumerate the proteins that dance attendance on each kind of RNA molecule during its maturation. Finally, we will expose how 2 pathogenic human viruses, HIV & CMV, subvert their host's genetic information pathway & supplant it with their own. By creating a National Center for Dynamic Interactome Research, we will be coupling an established mass spectrometry resource, cell biology laboratories, a systems biology resource, & a computational biology center. As part of the larger NIH roadmap, the center's aim will be to create new & useful tools to elucidate the dynamics of macromolecular interactions. In summary, the present proposal seeks the support to advance our methods into totally new areas, & to spread these methods amongst the biomedical community. The Center will enable the community to assemble the kinds of detailed, dynamic representations of the interactions in the cell that will help elucidate the principles underlying all cellular processes, thus bridging the gaps between functional genomics, proteomics, & systems biology.

这个子项目是利用这些资源的众多研究子项目之一