A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
"Notame": Workflow for Non-Targeted LC-MS Metabolic Profiling
Tekijät: Anton Klåvus, Marietta Kokla, Stefania Noerman, Ville M. Koistinen, Marjo Tuomainen, Iman Zarei, Topi Meuronen, Merja R. Häkkinen, Soile Rummukainen, Ambrin Farizah Babu, Taisa Sallinen, Olli Kärkkäinen, Jussi Paananen, David Broadhurst, Carl Brunius, Kati Hanhineva
Kustantaja: MDPI
Julkaisuvuosi: 2020
Journal: Metabolites
Tietokannassa oleva lehden nimi: METABOLITES
Lehden akronyymi: METABOLITES
Artikkelin numero: ARTN 135
Vuosikerta: 10
Numero: 4
Sivujen määrä: 35
DOI: https://doi.org/10.3390/metabo10040135
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/48034020
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
