UCSD Metabolomics Workbench

With the creation of the Metabolomics Data Repository managed by Data Repository and Coordination Center (DRCC), the NIH acknowledges the importance of data sharing for metabolomics. Metabolomics represents the systematic study of low molecular weight molecules found in a biological sample, providing a "snapshot" of the current and actual state of the cell or organism at a specific point in time. Thus, the metabolome represents the functional activity of biological systems. As with other ‘omics’, metabolites are conserved across animals, plants and microbial species, facilitating the extrapolation of research findings in laboratory animals to humans. Common technologies for measuring the metabolome include mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR), which can measure hundreds to thousands of unique chemical entities. Data sharing in metabolomics will include primary raw data and the biological and analytical meta-data necessary to interpret these data. Through cooperation between investigators, metabolomics laboratories and data coordinating centers, these data sets should provide a rich resource for the research community to enhance preclinical, clinical and translational research.

随着由数据存储与协调中心（Data Repository and Coordination Center，简称DRCC）管理的代谢组学数据存储库的建立，美国国立卫生研究院（NIH）认可了数据共享在代谢组学领域的重要性。代谢组学是对生物样本中发现的低分子量分子的系统研究，它提供了一幅细胞或生物体在特定时间点的当前实际状态的‘快照’。因此，代谢组反映了生物系统的功能活性。与其他‘组学’类似，代谢物在动物、植物和微生物物种之间得以保留，这有助于将实验室动物的研究成果外推至人类。测量代谢组常用的技术包括质谱法（MS）和核磁共振波谱法（NMR），它们能够测量数百至数千种独特的化学实体。代谢组学中的数据共享将包括原始数据以及必要的生物学和数据分析元数据，以解释这些数据。通过研究人员、代谢组学实验室和数据协调中心之间的合作，这些数据集应为研究社区提供丰富的资源，以加强临床前、临床和转化研究。