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小分子等高线图:定量代谢组学的统一软件包

Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics.

机构信息

Proteomics and Metabolomics Shared Resource, Duke University, Durham, North Carolina 27701, United States.

Department of Neurology, Duke University, Durham, North Carolina 27710, United States.

出版信息

J Proteome Res. 2020 Apr 3;19(4):1447-1458. doi: 10.1021/acs.jproteome.9b00640. Epub 2020 Mar 26.

Abstract

Vendor-independent software tools for quantification of small molecules and metabolites are lacking, especially for targeted analysis workflows. Skyline is a freely available, open-source software tool for targeted quantitative mass spectrometry method development and data processing with a 10 year history supporting six major instrument vendors. Designed initially for proteomics analysis, we describe the expansion of Skyline to data for small molecule analysis, including selected reaction monitoring, high-resolution mass spectrometry, and calibrated quantification. This fundamental expansion of Skyline from a peptide-sequence-centric tool to a molecule-centric tool makes it agnostic to the source of the molecule while retaining Skyline features critical for workflows in both peptide and more general biomolecular research. The data visualization and interrogation features already available in Skyline, such as peak picking, chromatographic alignment, and transition selection, have been adapted to support small molecule data, including metabolomics. Herein, we explain the conceptual workflow for small molecule analysis using Skyline, demonstrate Skyline performance benchmarked against a comparable instrument vendor software tool, and present additional real-world applications. Further, we include step-by-step instructions on using Skyline for small molecule quantitative method development and data analysis on data acquired with a variety of mass spectrometers from multiple instrument vendors.

摘要

缺乏独立于供应商的小分子和代谢物定量软件工具,特别是针对靶向分析工作流程。Skyline 是一款免费的开源软件工具,用于靶向定量质谱方法开发和数据处理,具有 10 年的历史,支持六大仪器供应商。最初设计用于蛋白质组学分析,我们描述了 Skyline 的扩展,以支持小分子分析数据,包括选择反应监测、高分辨率质谱和校准定量。Skyline 从基于肽序列的工具扩展到基于分子的工具,这种根本性的扩展使其对分子的来源具有不可知性,同时保留了对肽和更一般的生物分子研究工作流程至关重要的 Skyline 功能。Skyline 中已经可用的数据可视化和查询功能,如峰提取、色谱对齐和转换选择,已经适应于支持小分子数据,包括代谢组学。本文中,我们使用 Skyline 解释了小分子分析的概念性工作流程,展示了针对可比仪器供应商软件工具的 Skyline 性能基准测试,并介绍了其他实际应用。此外,我们还提供了使用 Skyline 针对从多个仪器供应商的各种质谱仪获得的数据进行小分子定量方法开发和数据分析的分步说明。

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