“Notame”: Workflow for non-targeted LC-MS metabolic profiling
Journal article, 2020

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.

Pathway analysis

Computational statistical

LC-MS

Unsupervised learning

Metabolic profiling

Supervised learning

Metabolomics

Mass spectrometry

Author

Anton Klåvus

University of Eastern Finland

Marietta Kokla

University of Eastern Finland

Stefania Noerman

University of Eastern Finland

Ville Mikael Koistinen

University of Eastern Finland

Marjo Tuomainen

University of Eastern Finland

Iman Zarei

University of Eastern Finland

Topi Meuronen

University of Eastern Finland

Merja R. Häkkinen

University of Eastern Finland

Soile Rummukainen

University of Eastern Finland

Ambrin Farizah Babu

University of Eastern Finland

Taisa Sallinen

University of Eastern Finland

Olli Kärkkäinen

University of Eastern Finland

Jussi Paananen

University of Eastern Finland

David Broadhurst

Edith Cowan University

Carl Brunius

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Kati Hanhineva

University of Eastern Finland

University of Turku

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Metabolites

2218-1989 (ISSN)

Vol. 10 4 135

Subject Categories

Cell and Molecular Biology

DOI

10.3390/metabo10040135

More information

Latest update

4/29/2020