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Targeted Proteomics coming of age - SRM, PRM and DIA performance evaluated from a core facility perspective

机译:来自核心设施的核心设施观点评估了患者年龄的蛋白质组学,PRM和DIA绩效

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The daily operational business of a core facility is normally not allowing for optimization of each method parameter, prior to recording a data set. This is reflected in this study by running the experiments with methods used on a routine basis in our core facility. Our study shows that targeted data acquisition (SRM, PRM) outperforms targeted data extraction strategies (DIA) with respect to quantitative accuracy and precision (especially when the analyte concentration is shifted in to low concentration regimes). Targeted acquisition methods are only suited for monitoring a limited number of targets, but for screening experiments targeted data extraction work-flows clearly outperform targeted data acquisition. The question, whether greater throughput justifies lower sensitivity/specificity has to be answered in the context of the individual research project. Particularly the amount of resources for follow-up experiments will therefore determine the overall success of a study (e.g. the number of identified biomarkers). In addition, large-scale DIA is very resource demanding e.g. on the computational side and more prone to human error. Not all research environments are equally prepared for such challenges and should consider these aspects during experimental design setup.
机译:在录制数据集之前,核心设施的日常运行业务通常不允许优化每个方法参数。这在本研究中反映了通过在我们的核心设施中使用的方法使用的方法进行实验。我们的研究表明,目标数据采集(SRM,PRM)优于定量准确度和精度(特别是当分析物浓度转移到低浓度制度时)的靶向数据提取策略(DIAD)。有针对性的获取方法仅适用于监测有限数量的目标,但对于筛查实验,目标​​数据提取工作 - 流程明显优于目标数据采集。问题,是否在个人研究项目的背景下应对更高的吞吐量证明了更低的敏感性/特异性。特别是随访实验的资源量将决定研究的总体成功(例如,鉴定的生物标志物的数量)。此外,大型DIA是非常苛刻的资源,例如,在计算方面,更容易出现人类错误。并非所有研究环境都均为此类挑战准备,并应考虑实验设计设置期间这些方面。

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