Analytical Biochemistry, Department of Pharmacy, University of Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Swammerdam Institute for Life Science, University of Amsterdam, the Netherlands, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Anal Chim Acta. 2018 Jan 25;999:37-53. doi: 10.1016/j.aca.2017.09.039. Epub 2017 Nov 2.
Label-free LC-MS(/MS) provides accurate quantitative profiling of proteins and metabolites in complex biological samples such as cell lines, tissues and body fluids. A label-free experiment consists of several LC-MS(/MS) chromatograms that might be acquired over several days, across multiple laboratories using different instruments. Single-stage part (MS1 map) of the LC-MS(/MS) contains quantitative information on all compounds that can be detected by LC-MS(/MS) and is the data of choice used by quantitative LC-MS(/MS) data pre-processing workflows. Differences in experimental conditions and fluctuation of analytical parameters influence the overall quality of the MS1 maps and are factors hampering comparative statistical analyses and data interpretation. The quality of the obtained MS1 maps can be assessed based on changes in the two separation dimensions (retention time, mass-to-charge ratio) and the readout (ion intensity) of MS1 maps. In this tutorial we discuss two types of changes, monotonic and non-monotonic shifts, which may occur in the two separation dimensions and the readout of MS1 map. Monotonic shifts of MS1 maps can be corrected, while non-monotonic ones can only be assessed but not corrected, since correction would require precise modelling of the underlying physicochemical effects, which would require additional parameters and analysis. We discuss reasons for monotonic and non-monotonic shifts in the two separation dimensions and readout of MS1 maps, as well as algorithms that can be used to correct monotonic or to assess the extent non-monotonic shifts. Relation of non-monotonic shift with peak elution order inversion and orthogonality as defined in analytical chemistry is discussed. We aim this tutorial for data generator and evaluators scientists who aim to known the condition and approaches to produce and pre-processed comparable MS1 maps.
无标记 LC-MS(/MS) 可提供细胞系、组织和体液等复杂生物样本中蛋白质和代谢物的准确定量分析。无标记实验由多个 LC-MS(/MS) 色谱图组成,这些色谱图可能在数天内、在多个实验室中使用不同的仪器采集。LC-MS(/MS) 的单级部分(MS1 图谱)包含了 LC-MS(/MS) 可以检测到的所有化合物的定量信息,是定量 LC-MS(/MS) 数据预处理工作流程中首选的数据。实验条件的差异和分析参数的波动会影响 MS1 图谱的整体质量,是阻碍比较统计分析和数据解释的因素。可以根据 MS1 图谱的两个分离维度(保留时间、质荷比)和读出(离子强度)的变化来评估获得的 MS1 图谱的质量。在本教程中,我们讨论了两种类型的变化,即可能在两个分离维度和 MS1 图谱的读出中发生的单调和非单调位移。MS1 图谱的单调位移可以被校正,而非单调位移只能被评估而不能被校正,因为校正需要对潜在的物理化学效应进行精确建模,这需要额外的参数和分析。我们讨论了 MS1 图谱的两个分离维度和读出中单调和非单调位移的原因,以及可以用于校正单调或评估非单调位移程度的算法。还讨论了非单调位移与峰洗脱顺序反转和分析化学中定义的正交性的关系。我们的目标是为数据生成器和评估科学家提供本教程,旨在了解产生和预处理可比 MS1 图谱的条件和方法。