Zampieri Mattia, Sekar Karthik, Zamboni Nicola, Sauer Uwe
Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, CH-8093 Zurich, Switzerland.
Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, CH-8093 Zurich, Switzerland.
Curr Opin Chem Biol. 2017 Feb;36:15-23. doi: 10.1016/j.cbpa.2016.12.006. Epub 2017 Jan 5.
Large scale metabolomics studies are increasingly used to investigate genetically different individuals and time-dependent responses to environmental stimuli. New mass spectrometric approaches with at least an order of magnitude more rapid analysis of small molecules within the cell's metabolome are now paving the way towards true high-throughput metabolomics, opening new opportunities in systems biology, functional genomics, drug discovery, and personalized medicine. Here we discuss the impact and advantages of the progress made in profiling large cohorts and dynamic systems with high temporal resolution and automated sampling. In both areas, high-throughput metabolomics is gaining traction because it can generate hypotheses on molecular mechanisms and metabolic regulation. We conclude with the current status of the less mature single cell analyses where high-throughput analytics will be indispensable to resolve metabolic heterogeneity in populations and compartmentalization of metabolites.
大规模代谢组学研究越来越多地用于调查基因不同的个体以及对环境刺激的时间依赖性反应。新的质谱方法能够对细胞代谢组中的小分子进行至少快一个数量级的分析,现在正为真正的高通量代谢组学铺平道路,在系统生物学、功能基因组学、药物发现和个性化医疗方面开辟了新机遇。在此,我们讨论在以高时间分辨率和自动采样对大型队列和动态系统进行分析方面所取得进展的影响和优势。在这两个领域,高通量代谢组学正逐渐受到关注,因为它能够生成有关分子机制和代谢调节的假设。我们最后阐述了不太成熟的单细胞分析的现状,在这方面高通量分析对于解决群体中的代谢异质性和代谢物的区室化将是不可或缺的。