Profiling and Mapping Core

分析和映射核心B 项目负责人：Kyu Rhee和D.分支穆迪 合作研究者：Jacob Mayfield 摘要-岩心B剖面和标测 现代传染病研究基本上依赖于主要病原体的基因组图谱。与 最近发展的全生物体代谢组学分析工具，全面映射M。 结核病（Mtb）代谢组学研究已成为可能。核心B支持基于质谱的Mt B分析 代谢物，以支持项目1，2和3，分别侧重于发现，药物和诊断。的 核心将进行全生物体脂质组学和代谢组学分析，存档数据集，并使用现代 生物信息学方法来生成Mtb的代谢脂质组学图谱。地图由结构化列表组成 所有代谢物亚类，每个类别中所有命名代谢物的列表，以及所有命名代谢物的链接 代谢物与质量值和其他生物变量的关系。我们之前创建了MycoMap数据库， 这是现有最大的183种分枝杆菌代谢物类别的图谱，与~ 195，000个精确质量相关， 价值观我们现在将通过添加项目1、2和3中新发现的脂质来扩展数据库。 支持项目1和2，我们将解决Mycolate外膜脂质地图，它描述了 位于宿主-病原体屏障并参与药物渗透的化合物。支持项目1和3， 该核心将测量来自南非患者的结核分枝杆菌菌株之间的代谢物变异， 人结核分枝杆菌菌株脂质变异数据库。该数据库将描述血脂的患病率和变化 在人类社区中传播的菌株中，以确定受宿主选择控制的脂质，并支持 诊断发展。

Profiling and Mapping Core B Project Leaders: Kyu Rhee and D. Branch Moody Co-investigators: Jacob Mayfield ABSTRACT - Profiling and Mapping Core B Modern infectious disease research relies fundamentally on genomic maps of the major pathogens. With the recent development of whole-organism metabolomics profiling tools, comprehensively mapping the M. tuberculosis (Mtb) metabolome is now feasible. Core B supports mass spectrometry-based profiling of Mtb metabolites to support Projects 1, 2 and 3 that focus on discovery, drugs and diagnostics, respectively. The Core will carry out whole-organism lipidomic and metabolomic profiling, archive datasets and use modern bioinformatic methods to generate metabo-lipidomic maps of Mtb. Maps are comprised of a structured listing of all metabolite subclasses, a list of all named metabolites within each class, and links of all named metabolites to mass values and other biological variables. We previously generated the MycoMap Database, which is the largest existing map of 183 mycobacterial metabolite classes linked to ~195,000 accurate mass values. We will now expand the database by adding newly discovered lipids generated in Projects 1, 2 and 3. Supporting Projects 1 and 2, we will solve the Mycolate Outer Membrane Lipid Map, which describes compounds located at the host-pathogen barrier and involved in drug penetration. Supporting Projects 1 and 3, the core will measure metabolite variation among Mtb strains from South African patients to generate the Human Mtb Strain Lipid Variation Database. This database will describe the prevalence and variation of lipids among strains circulating in human communities to identify lipids under control by host selection and to support diagnostics development.