Implementation of liquid chromatography–high resolution mass spectrometry methods for untargeted metabolomic analyses of biological samples: A tutorial
| Autor: | Santiago Codesido, Julien Boccard, Yoric Gagnebin, Julian Pezzatti, Didier Picard, Víctor González-Ruiz, Abhinav Joshi, Serge Rudaz |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
High-resolution mass spectrometry
Liquid chromatography 01 natural sciences Biochemistry Data treatment Mass Spectrometry Analytical Chemistry 03 medical and health sciences Biological samples Metabolomics ddc:570 Environmental Chemistry Animals Humans Untargeted Spectroscopy 030304 developmental biology Protocol (science) 0303 health sciences ddc:615 Chemistry 010401 analytical chemistry Methodology Data science Pipeline (software) 0104 chemical sciences Workflow Untargeted metabolomics Research Design Chromatography Liquid |
| Zdroj: | Analytica Chimica Acta, Vol. 1105 (2020) pp. 28-44 |
| ISSN: | 1873-4324 |
| Popis: | Untargeted metabolomics is now widely recognized as a useful tool for exploring metabolic changes taking place in biological systems under different conditions. By its nature, this is a highly interdisciplinary field of research, and mastering all of the steps comprised in the pipeline can be a challenging task, especially for those researchers new to the topic. In this tutorial, we aim to provide an overview of the most widely adopted methods of performing LC-HRMS-based untargeted metabolomics of biological samples. A detailed protocol is provided in the Supplementary Information for rapidly implementing a basic screening workflow in a laboratory setting. This tutorial covers experimental design, sample preparation and analysis, signal processing and data treatment, and, finally, data analysis and its biological interpretation. Each section is accompanied by up-to-date literature to guide readers through the preparation and optimization of such a workflow, as well as practical information for avoiding or fixing some of the most frequently encountered pitfalls. |
| Databáze: | OpenAIRE |
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