VISUALIZATION OF QUANTITATIVE BIOLOGICAL MASS SPECTROMETRY DATA

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 生物网络背景下的定量质谱数据可视化是从蛋白质组数据发展生物学假说的关键。我们打算使用Cytoscape在网络（GO，蛋白质-蛋白质相互作用等）的背景下可视化定量MS数据（SILAC，iTRAQ，D2 O等，以及SRM数据）。我们的目的是开始与更成熟的定量蛋白质组学方法通过试点项目，如伯林盖姆-韦兹曼研究所合作的伤口愈合项目，并最终引入数据从选择反应监测（SRM）。一旦我们熟悉了这个过程，我们打算开发一个插件来帮助从ProteinProspector导入MS数据，从而在两个工具之间提供更好的协同作用。

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. Visualization of Quantitative Mass Spectrometry data in the context of biological networks is a key to the development of biological hypothesis from proteomic data. We intend to use Cytoscape to visualize the quantitative MS data (SILAC, iTRAQ, D2O, etc, as well as SRM data) in the context of networks (GO, Protein-Protein Interaction, etc). Our intent is to begin with the more established quantitative Proteomic Methods via pilot projects such as the Burlingame-Wiezman Institute collaboration on wound healing project and eventually introduce data from Selected Reaction Monitoring (SRM). Once we are familiar with the process we intend to develop a plugin to aid in the importation of MS data from ProteinProspector thus providing better synergy between the two tools.