The Interactions Core/Mark Mcintosh

相互作用的核心：巨型测序、蛋白质组学、信息学和亚硝化将提供蛋白质组学 分析、信使核糖核酸巨型测序、生物信息学分析和生物统计学，以支持研究项目。 用于抗氧化剂、抗炎、NADPH氧化酶、刺猬和雌激素信号的蛋白质组学分析 影响蛋白质表达水平的途径靶点和基于氧化还原的蛋白质翻译后修饰 (Ptm)，特别是S对特定蛋白质半胱氨酸硫醇的亚硝化，我们将与MU的Charles合作 W.Gehrke蛋白质组学中心开发一种包括凝胶和LC/MS的综合蛋白质组学策略 定量蛋白质组学。我们将开发蛋白质半胱氨酸翻译后修饰的PTM位点 使用CID/ETD技术绘制地图，并提供我们的专业知识来识别潜在的氧化还原目标并帮助 机械学研究。高通量的mRNA巨型测序也将由本公司的人员完成 核心。我们将与MU DNA设备及其超高通量测序平台合作。数列 数据输出将直接发送给生物信息学家进行初始处理、建库和 放映。在资助期的后几年，我们将制定方案来观察蛋白质水平的变化 血浆。基因组和蛋白质组数据都将被集成到一个路径交互模型中，该模型将 为实验验证提供假设。总体而言，核心将为研究项目提供支持 并努力加深对植物学如何影响信号通路的理解。

The Interactions Core: Mega-sequencing, Proteomics, Informatics and Nitrosylation will provide proteomic analysis, mRNA mega-sequencing, bioinformatic analyses, and biostatistics to support the research projects. For proteomic analysis of antioxidant, anti-inflammatory, NADPH oxidase, hedgehog, and estrogen signaling pathway targets, affecting protein expression levels and redox-based protein post-translational modifications (PTM), particularly S-nitrosylation on specific protein cysteine thiols, we will collaborate with MU's Charles W. Gehrke Proteomics Center to develop an integrative proteomics strategy including both gel- and LC/MSbased quantitative proteomics. We will develop protein cysteine post-translational modification PTM site mapping using CID/ETD technology and provide our expertise to identify potential redox targets and aid in mechanistic studies. High-throughput mRNA mega-sequencing will also be completed by personnel in this core. We will work with the MU DNA Facility and its ultra-high throughput sequencing platform. Sequence data output will be routed directly to the bioinformatician for initial processing, library construction, and screening. In later years of the funding period, we will develop protocols to look at protein-level changes in plasma. Both genomic and proteomic data will be integrated into a pathway interaction model that will provide hypotheses for experimental validation. Overall the Core will provide support to the research projects and work to develop a deeper understanding of how botanicals can influence signaling pathways.