title: Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems.
abstract: Metabolome analyses are a suite of analytical approaches that enable us to capture changes in the metabolome (small molecular weight components, typically less than 1500 Da) in biological systems. Mass spectrometry (MS) has been widely used for this purpose. The key challenge here is to be able to capture changes in a reproducible and reliant manner that is representative of the events that take place in vivo Typically, the analysis is carried out in vitro, by isolating the system and extracting the metabolome. MS-based approaches enable us to capture metabolomic changes with high sensitivity and resolution. When developing the technique for different biological systems, there are similarities in challenges and differences that are specific to the system under investigation. Here, we review some of the challenges in capturing quantitative changes in the metabolome with MS based approaches, primarily in microbial and mammalian systems.This article is part of the themed issue 'Quantitative mass spectrometry'.
authors.affiliation: Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK.
authors.forename: Rahul Vijay
authors.identifier: http://orcid.org/0000-0002-2287-0619
authors.initials: RV
authors.lastname: Kapoore
authors.affiliation: Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK s.vaidyanathan@sheffield.ac.uk.
authors.forename: Seetharaman
authors.identifier: http://orcid.org/0000-0003-4137-1230
authors.initials: S
authors.lastname: Vaidyanathan
mesh_terms: D000818:Animals; D002849:Chromatography, Gas; D008322:Mammals / Q000378:metabolism; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D008829:Microbiology
keywords: challenges; mammalian metabolomics; microbial metabolomics; quantitative metabolomics