Raetz Michel, Bonner Ron, Hopfgartner Gérard
Life Sciences Mass Spectrometry, Department of Inorganic and Analytical Chemistry, University of Geneva, 24 Quai Ernest Ansermet, CH-1211, Geneva, Switzerland.
Ron Bonner Consulting, Newmarket, ON, L3Y 3C7, Canada.
Metabolomics. 2020 Jun 5;16(6):71. doi: 10.1007/s11306-020-01692-0.
While liquid chromatography coupled to mass spectrometric detection in the selected reaction monitoring detection mode offers the best quantification sensitivity for omics, the number of target analytes is limited, must be predefined and specific methods developed. Data independent acquisition (DIA), including SWATH using quadrupole time of flight or orbitrap mass spectrometers and generic acquisition methods, has emerged as a powerful alternative technique for quantitative and qualitative analyses since it can cover a wide range of analytes without predefinition.
Here we review the current state of DIA, SWATH-MS and highlight novel acquisition strategies for metabolomics and lipidomics and opportunities for data analysis tools.
Different databases were searched for papers that report developments and applications of DIA and in particular SWATH-MS in metabolomics and lipidomics.
DIA methods generate digital sample records that can be mined retrospectively as further knowledge is gained and, with standardized acquisition schemes, used in multiple studies. The different chemical spaces of metabolites and lipids require different specificities, hence different acquisition and data processing approaches must be considered for their analysis.
Although the hardware and acquisition modes are well defined for SWATH-MS, a major challenge for routine use remains the lack of appropriate software tools capable of handling large datasets and large numbers of analytes.
虽然在选择反应监测检测模式下,液相色谱与质谱检测联用为组学提供了最佳的定量灵敏度,但目标分析物的数量有限,必须预先定义且需开发特定方法。数据非依赖采集(DIA),包括使用四极杆飞行时间或轨道阱质谱仪的全扫描质谱采集(SWATH)及通用采集方法,已成为一种强大的替代技术,用于定量和定性分析,因为它无需预先定义就能涵盖广泛的分析物。
在此,我们综述DIA、SWATH-MS的当前状态,强调代谢组学和脂质组学的新型采集策略以及数据分析工具的机遇。
在不同数据库中搜索报告DIA特别是SWATH-MS在代谢组学和脂质组学中的发展及应用的论文。
DIA方法生成数字样本记录,随着更多知识的获取可进行回顾性挖掘,并且通过标准化采集方案可用于多项研究。代谢物和脂质的不同化学空间需要不同的特异性,因此在分析时必须考虑不同的采集和数据处理方法。
虽然SWATH-MS的硬件和采集模式已明确,但常规使用的一个主要挑战仍然是缺乏能够处理大型数据集和大量分析物的合适软件工具。