König Simone
Core Unit Proteomics, Interdisciplinary Center for Clinical Research, Medical Faculty, University of Münster, Münster, Germany.
J Mass Spectrom. 2021 Feb;56(2):e4616. doi: 10.1002/jms.4616. Epub 2020 Sep 21.
The use of mass spectrometry has dramatically increased the research pace in the life sciences. The influence of the technique is enormous and its results can have far-reaching consequences such as jail time when applied in forensics. Therefore, analytical chemists trained in proper procedure know that they must validate their experiments. However, those quality measures have not been adopted in a similar manner in the omics technologies even though the stakes are equally high. Reasons are, among others, the segregation of the data generation and data mining functions and an undue belief in software capabilities. In this article, problematic issues such as false or overinterpretation of data are discussed, and assistance is provided for mass spectrometry laymen to evaluate the quality of their results; a quick guide to mass spectral data interpretation of peptide fragmentation experiments, the basis of bottom-up proteomics, is offered. Good science can only be generated in tight collaboration of principal investigator, analytical chemist, and bioinformatician so that the limits and the potential of each method and approach can be responsibly communicated.
质谱分析法的应用极大地加快了生命科学的研究步伐。该技术的影响力巨大,其结果可能会产生深远影响,比如应用于法医学时会导致监禁。因此,接受过正确程序培训的分析化学家知道他们必须对实验进行验证。然而,尽管利害关系同样重大,但组学技术却没有以类似方式采用这些质量控制措施。原因包括数据生成和数据挖掘功能的分离以及对软件能力的过度信任等。本文讨论了数据的错误或过度解读等问题,并为质谱分析新手提供帮助,以评估其结果的质量;还提供了一份自下而上蛋白质组学基础的肽段裂解实验质谱数据解读快速指南。只有首席研究员、分析化学家和生物信息学家紧密合作,才能产生优秀的科研成果,从而能够负责地传达每种方法和途径的局限性及潜力。