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Critical Assessment of Quenching and Extraction/sample Preparation Methods for Microorganisms in Metabolomics

Overview
Journal Metabolomics
Publisher Springer
Specialty Endocrinology
Date 2025 Mar 14
PMID 40082321
Authors
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Abstract

Background: Advancements in the research of intracellular metabolome have the potential to affect our understanding of biological processes. The applications and findings of intracellular metabolome analysis are useful in understanding cellular pathways, microbial interactions, and the detection of secreted metabolites and their functions.

Aim Of Review: This work focuses on the analysis of intracellular metabolomes in microorganisms. The techniques used for analyzing the intracellular metabolomes including metabolomics approaches such as mass spectrometry, nuclear magnetic resonance, liquid chromatography, and gas chromatography are discussed.

Key Scientific Concepts Of Review: Challenges such as sample preparation, data analysis, metabolite extraction, sample storage and collection, and processing techniques were investigated, as they can highlight emerging technologies and advancements in metabolome analysis, future applications in drug discovery, personalized medicine, systems biology, and the limitations and challenges in studying the metabolome of microorganisms.

References
1.
Alseekh S, Aharoni A, Brotman Y, Contrepois K, DAuria J, Ewald J . Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices. Nat Methods. 2021; 18(7):747-756. PMC: 8592384. DOI: 10.1038/s41592-021-01197-1. View

2.
Baker E, Clowers B, Li F, Tang K, Tolmachev A, Prior D . Ion mobility spectrometry-mass spectrometry performance using electrodynamic ion funnels and elevated drift gas pressures. J Am Soc Mass Spectrom. 2007; 18(7):1176-87. PMC: 3292285. DOI: 10.1016/j.jasms.2007.03.031. View

3.
Barrero-Rodriguez R, Rodriguez J, Tarifa R, Vazquez J, Mastrangelo A, Ferrarini A . TurboPutative: A web server for data handling and metabolite classification in untargeted metabolomics. Front Mol Biosci. 2022; 9:952149. PMC: 9493301. DOI: 10.3389/fmolb.2022.952149. View

4.
Berlanda S, Breitfeld M, Dietsche C, Dittrich P . Recent Advances in Microfluidic Technology for Bioanalysis and Diagnostics. Anal Chem. 2020; 93(1):311-331. DOI: 10.1021/acs.analchem.0c04366. View

5.
Bino R, Hall R, Fiehn O, Kopka J, Saito K, Draper J . Potential of metabolomics as a functional genomics tool. Trends Plant Sci. 2004; 9(9):418-25. DOI: 10.1016/j.tplants.2004.07.004. View