Gika Helen G, Theodoridis Georgios A, Wingate Julia E, Wilson Ian D
AstraZeneca, Department of Drug Metabolism and Pharmacokinetics, Mereside, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom.
J Proteome Res. 2007 Aug;6(8):3291-303. doi: 10.1021/pr070183p. Epub 2007 Jul 11.
Self-evidently, research in areas supporting "systems biology" such as genomics, proteomics, and metabonomics are critically dependent on the generation of sound analytical data. Metabolic phenotyping using LC-MS-based methods is currently at a relatively early stage of development, and approaches to ensure data quality are still developing. As part of studies on the application of LC-MS in metabonomics, the within-day reproducibility of LC-MS, with both positive and negative electrospray ionization (ESI), has been investigated using a standard "quality control" (QC) sample. The results showed that the first few injections on the system were not representative, and should be discarded, and that reproducibility was critically dependent on signal intensity. On the basis of these findings, an analytical protocol for the metabonomic analysis of human urine has been developed with proposed acceptance criteria based on a step-by-step assessment of the data. Short-term sample stability for human urine was also assessed. Samples were stable for at least 20 h at 4 degrees C in the autosampler while queuing for analysis. Samples stored at either -20 or -80 degrees C for up to 1 month were indistinguishable on subsequent LC-MS analysis. Overall, by careful monitoring of the QC data, it is possible to demonstrate that the "within-day" reproducibility of LC-MS is sufficient to ensure data quality in global metabolic profiling applications.
不言而喻,在诸如基因组学、蛋白质组学和代谢组学等支持“系统生物学”的领域开展研究,严重依赖于可靠分析数据的生成。基于液相色谱-质谱联用(LC-MS)方法的代谢表型分析目前尚处于相对早期的发展阶段,确保数据质量的方法仍在不断发展。作为关于LC-MS在代谢组学中应用研究的一部分,使用标准的“质量控制”(QC)样品对LC-MS在正、负离子电喷雾电离(ESI)模式下的日内重现性进行了研究。结果表明,系统上最初的几次进样不具有代表性,应予以舍弃,且重现性严重依赖于信号强度。基于这些发现,已制定了一份用于人尿代谢组学分析的分析方案,并根据对数据的逐步评估提出了验收标准。还评估了人尿的短期样品稳定性。样品在自动进样器中于4℃排队等待分析时至少稳定20小时。在-20℃或-80℃下储存长达1个月的样品在后续的LC-MS分析中无明显差异。总体而言,通过仔细监测QC数据,可以证明LC-MS的“日内”重现性足以确保在全局代谢谱分析应用中的数据质量。