Michigan Regional Comprehensive Metabolomics Resource Core (MRC2)

描述（由申请人提供）：拟议的密歇根州区域综合代谢组学资源核心（MRCMRC或MRC 2）是一个完全集成的计划，将为全国范围内的研究人员提供专业知识和基础设施，以确定细胞，组织和生物液体中已知和未知代谢物的水平。此外，MRC将提供代谢组学分析，统计分析和代谢物数据的生物信息学评估技术培训机会，以及将代谢组学纳入基础，临床前，转化和临床研究的方法。 纳入这一服务部分的将是一个强大的研究部分，旨在提高代谢物检测的广度、代谢组学分析的质量和效率，重要的是，将光谱数据转化为研究人员知识的工具。一个分析核心，以帮助设计实验，用于代谢物的定向定量测量或大量已知和未知代谢物的高通量评估;一个数据和信息技术核心，将进行原始数据处理或重新挖掘档案数据，并将作为一个数据储存库;一个统计和生物信息学核心，将协助研究人员对代谢组学数据进行统计评估，并与其他组学或表型数据整合;以及一个推广和外展核心，将组织和提供研讨会、专题讨论会、讲习班和基于网络的视频，以增加非专业和研究界对代谢组学数据的知识和使用。

DESCRIPTION (provided by applicant): The proposed Michigan Regional Comprehensive Metabolomics Resource Core (MRCMRC or MRC2) is a fully integrated program that will provide researchers nation-wide with the expertise and infrastructure to determine the levels of known and unknown metabolites in cells, tissues and biological fluids. In addition, the MRC will provide opportunities for training in the technology of metabolomic analysis, statistical analysis and bioinformatic evaluation of metabolite data as well as approaches to Incorporation of metabolomics into basic, preclinical, translational and clinical research. Incorporated into this service component will be a robust research component directed towards improving the breadth of metabolite detection, the quality and efficiency of metabolomic analysis and importantly, tools to turn spectral data into knowledge to for the researcher The MRC2 will contain an Administrative Core to oversee and integrate operations; an Analytical Core to help design experiments for directed quantitative measure of metabolites or high-throughput evaluation of large numbers of known and unknown metabolites; a Data and Information Technology Core which will perform primary data processing or re-mining of archival data and will serve as a data repository; a Statistics and Bioinformatics Core which will assist researchers in the statistical evaluation of metabolomic data and integration with other 'omics or phenotypic data; and a Promotion and Outreach Core which will organize and provide seminars, symposia, workshops and web-based videos to increase the lay and research communities knowledge and use of metabolomic data.