"notame": Workflow for Non-Targeted LC-MS Metabolic Profiling

Overview

Journal Metabolites

Publisher MDPI

Date 2020 Apr 5

PMID 32244411

Citations 46

Authors

Anton Klavus

Marietta Kokla

Stefania Noerman

Ville M Koistinen

Marjo Tuomainen

Iman Zarei

Topi Meuronen

Merja R Hakkinen

Soile Rummukainen

Ambrin Farizah Babu

Taisa Sallinen

Olli Karkkainen

Jussi Paananen

David Broadhurst

Carl Brunius

Kati Hanhineva

Affiliations

Soon will be listed here.

Abstract

Metabolomics analysis generates vast arrays of data, necessitating comprehensive workflows involving expertise in analytics, biochemistry and bioinformatics in order to provide coherent and high-quality data that enable discovery of robust and biologically significant metabolic findings. In this protocol article, we introduce notame, an analytical workflow for non-targeted metabolic profiling approaches, utilizing liquid chromatography-mass spectrometry analysis. We provide an overview of lab protocols and statistical methods that we commonly practice for the analysis of nutritional metabolomics data. The paper is divided into three main sections: the first and second sections introducing the background and the study designs available for metabolomics research and the third section describing in detail the steps of the main methods and protocols used to produce, preprocess and statistically analyze metabolomics data and, finally, to identify and interpret the compounds that have emerged as interesting.

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