Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
J Am Soc Mass Spectrom. 2024 Nov 6;35(11):2680-2689. doi: 10.1021/jasms.4c00146. Epub 2024 Jul 16.
Mass spectrometry is broadly employed to study complex molecular mechanisms in various biological and environmental fields, enabling 'omics' research such as proteomics, metabolomics, and lipidomics. As study cohorts grow larger and more complex with dozens to hundreds of samples, the need for robust quality control (QC) measures through automated software tools becomes paramount to ensure the integrity, high quality, and validity of scientific conclusions from downstream analyses and minimize the waste of resources. Since existing QC tools are mostly dedicated to proteomics, automated solutions supporting metabolomics are needed. To address this need, we developed the software PeakQC, a tool for automated QC of MS data that is independent of omics molecular types (i.e., omics-agnostic). It allows automated extraction and inspection of peak metrics of precursor ions (e.g., errors in mass, retention time, arrival time) and supports various instrumentations and acquisition types, from infusion experiments or using liquid chromatography and/or ion mobility spectrometry front-end separations and with/without fragmentation spectra from data-dependent or independent acquisition analyses. Diagnostic plots for fragmentation spectra are also generated. Here, we describe and illustrate PeakQC's functionalities using different representative data sets, demonstrating its utility as a valuable tool for enhancing the quality and reliability of omics mass spectrometry analyses.
质谱广泛应用于研究各种生物和环境领域的复杂分子机制,支持“组学”研究,如蛋白质组学、代谢组学和脂质组学。随着研究队列的规模越来越大,越来越复杂,包含数十到数百个样本,需要通过自动化软件工具进行稳健的质量控制 (QC) 措施,以确保下游分析的完整性、高质量和科学结论的有效性,并最大限度地减少资源浪费。由于现有的 QC 工具主要专注于蛋白质组学,因此需要支持代谢组学的自动化解决方案。为了满足这一需求,我们开发了软件 PeakQC,这是一种用于 MS 数据自动化 QC 的工具,它独立于组学分子类型(即无组学偏见)。它允许自动提取和检查前体离子的峰指标(例如,质量、保留时间、到达时间的误差),并支持各种仪器和采集类型,包括从灌注实验或使用液相色谱和/或离子迁移谱前端分离以及具有/不具有来自数据依赖或独立采集分析的碎片光谱。还生成了用于碎片光谱的诊断图。在这里,我们使用不同的代表性数据集描述和说明 PeakQC 的功能,展示了它作为增强组学质谱分析质量和可靠性的有价值工具的实用性。