Document Type

Journal Article

Publication Title

Metabolites

Publisher

MDPI AG

School

Centre for Integrative Metabolomics and Computational Biology / School of Science

Funders

Academy of Finland Biocenter Finland, BF

Comments

Klåvus, A., Kokla, M., Noerman, S., Koistinen, V. M., Tuomainen, M., Zarei, I., ... Sallinen, T. (2020). “Notame”: Workflow for non-targeted LC-MS metabolic profiling. Metabolites, 10(4), 135. https://doi.org/10.3390/metabo10040135

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. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

DOI

10.3390/metabo10040135

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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