代谢组
色谱法
代谢组学
质谱法
生物标志物发现
气相色谱法
气相色谱-质谱法
化学
样品制备
液相色谱-质谱法
蛋白质组学
生物化学
基因
作者
Warwick B. Dunn,David Broadhurst,Paul Begley,Eva Zelena,Sue Francis‐McIntyre,Nadine Anderson,Marie Brown,Joshua Knowles,Antony Halsall,John N. Haselden,Andrew W. Nicholls,Ian D. Wilson,Douglas B. Kell,Royston Goodacre
出处
期刊:Nature Protocols
[Springer Nature]
日期:2011-06-30
卷期号:6 (7): 1060-1083
被引量:2412
标识
DOI:10.1038/nprot.2011.335
摘要
Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic changes related to genetic differences, environmental influences and disease or drug perturbations. Chromatography-mass spectrometry (MS) platforms are frequently used to provide the sensitive and reproducible detection of hundreds to thousands of metabolites in a single biofluid or tissue sample. Here we describe the experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years. Protocols for serum- and plasma-based metabolic profiling applying gas chromatography-MS (GC-MS) and ultraperformance liquid chromatography-MS (UPLC-MS) are described. These include biofluid collection, sample preparation, data acquisition, data pre-processing and quality assurance. Methods for quality control-based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described.
科研通智能强力驱动
Strongly Powered by AbleSci AI