Max-Planck-Institute of Molecular Cell Biology and Genetics and Lipotype GmbH,, Dresden, Germany.
Proteomics. 2018 Mar;18(5-6):e1800039. doi: 10.1002/pmic.201800039. Epub 2018 Mar 2.
One of the promises of multiomic analysis was to transform the clinical diagnostics to deliver much more exact phenotyping of disease states. However, despite enormous investments, the transformation of clinical routine has not taken place. There are many reasons for this lack of success but one is the failure to deliver quantitative and reproducible data. This failure is not only impeding progress in clinical phenotyping but also in the application of omic science in systems biology. The focus in this Viewpoint will be on lipidomics but the lessons learned are generally applicable.
多组学分析的一个承诺是将临床诊断转变为更精确的疾病表型。然而，尽管投入巨大，临床常规的转变尚未发生。造成这种缺乏成功的原因有很多，但其中之一是未能提供定量和可重复的数据。这种失败不仅阻碍了临床表型的进展，也阻碍了组学科学在系统生物学中的应用。本观点的重点将放在脂质组学上，但所吸取的经验教训普遍适用。
