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使用 MetaboAnalyst 5.0 进行 LC-HRMS 光谱处理、多组学整合和全局代谢组学数据的协变量调整。

Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data.

机构信息

Institute of Parasitology, McGill University, Montreal, Quebec, Canada.

Department of Natural Resources Sciences, McGill University, Montreal, Quebec, Canada.

出版信息

Nat Protoc. 2022 Aug;17(8):1735-1761. doi: 10.1038/s41596-022-00710-w. Epub 2022 Jun 17.

Abstract

Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has become a workhorse in global metabolomics studies with growing applications across biomedical and environmental sciences. However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology. To help the user community overcome these barriers, we have made major updates to the well-established MetaboAnalyst platform ( www.metaboanalyst.ca ). This protocol extends the previous 2011 Nature Protocol by providing stepwise instructions on how to use MetaboAnalyst 5.0 to: optimize parameters for LC-HRMS spectra processing; obtain functional insights from peak list data; integrate metabolomics data with transcriptomics data or combine multiple metabolomics datasets; conduct exploratory statistical analysis with complex metadata. Parameter optimization may take ~2 h to complete depending on the server load, and the remaining three stages may be executed in ~60 min.

摘要

液相色谱与高分辨质谱联用(LC-HRMS)已成为全球代谢组学研究中的得力工具,在生物医学和环境科学领域的应用日益广泛。然而,在数据处理、统计分析和功能解释方面仍存在突出的生物信息学挑战,这是该技术广泛应用的关键障碍。为了帮助用户社区克服这些障碍,我们对成熟的 MetaboAnalyst 平台(www.metaboanalyst.ca)进行了重大更新。本方案通过逐步说明如何使用 MetaboAnalyst 5.0 来扩展之前的 2011 年《自然》方案,从而为您提供帮助:优化 LC-HRMS 光谱处理的参数;从峰列表数据中获得功能见解;将代谢组学数据与转录组学数据整合或合并多个代谢组学数据集;使用复杂的元数据进行探索性统计分析。参数优化可能需要 2 小时左右才能完成,具体取决于服务器负载,而其余三个阶段可能需要 60 分钟左右才能完成。

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