Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches

Untargeted metabolomics aims to provide a global picture of the metabolites present in the system under study. To this end, making a careful choice of sample preparation is mandatory to obtain reliable and reproducible biological information. In this study, eight different sample preparation techniq...

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Main Authors: Julian Pezzatti, Matthieu Bergé, Julien Boccard, Santiago Codesido, Yoric Gagnebin, Patrick H. Viollier, Víctor González-Ruiz, Serge Rudaz
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/9/10/193
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spelling doaj-47e64be30c054523b42e63eee48d9a362020-11-25T01:32:44ZengMDPI AGMetabolites2218-19892019-09-0191019310.3390/metabo9100193metabo9100193Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics ApproachesJulian Pezzatti0Matthieu Bergé1Julien Boccard2Santiago Codesido3Yoric Gagnebin4Patrick H. Viollier5Víctor González-Ruiz6Serge Rudaz7Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandDepartment of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, University Medical Centre, 1206 Geneva, SwitzerlandInstitute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandInstitute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandInstitute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandDepartment of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, University Medical Centre, 1206 Geneva, SwitzerlandInstitute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandInstitute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University Medical Centre, 1206 Geneva, SwitzerlandUntargeted metabolomics aims to provide a global picture of the metabolites present in the system under study. To this end, making a careful choice of sample preparation is mandatory to obtain reliable and reproducible biological information. In this study, eight different sample preparation techniques were evaluated using <i>Caulobacter crescentus</i> as a model for Gram-negative bacteria. Two cell retrieval systems, two quenching and extraction solvents, and two cell disruption procedures were combined in a full factorial experimental design. To fully exploit the multivariate structure of the generated data, the ANOVA multiblock orthogonal partial least squares (AMOPLS) algorithm was employed to decompose the contribution of each factor studied and their potential interactions for a set of annotated metabolites. All main effects of the factors studied were found to have a significant contribution on the total observed variability. Cell retrieval, quenching and extraction solvent, and cell disrupting mechanism accounted respectively for 27.6%, 8.4%, and 7.0% of the total variability. The reproducibility and metabolome coverage of the sample preparation procedures were then compared and evaluated in terms of relative standard deviation (RSD) on the area for the detected metabolites. The protocol showing the best performance in terms of recovery, versatility, and variability was centrifugation for cell retrieval, using MeOH:H<sub>2</sub>O (8:2) as quenching and extraction solvent, and freeze-thaw cycles as the cell disrupting mechanism.https://www.mdpi.com/2218-1989/9/10/193metabolomicssample preparationhydrophilic interaction liquid chromatographyion mobility spectrometryhigh resolution mass spectrometrydesign of experimentsAMOPLS
collection DOAJ
language English
format Article
sources DOAJ
author Julian Pezzatti
Matthieu Bergé
Julien Boccard
Santiago Codesido
Yoric Gagnebin
Patrick H. Viollier
Víctor González-Ruiz
Serge Rudaz
spellingShingle Julian Pezzatti
Matthieu Bergé
Julien Boccard
Santiago Codesido
Yoric Gagnebin
Patrick H. Viollier
Víctor González-Ruiz
Serge Rudaz
Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
Metabolites
metabolomics
sample preparation
hydrophilic interaction liquid chromatography
ion mobility spectrometry
high resolution mass spectrometry
design of experiments
AMOPLS
author_facet Julian Pezzatti
Matthieu Bergé
Julien Boccard
Santiago Codesido
Yoric Gagnebin
Patrick H. Viollier
Víctor González-Ruiz
Serge Rudaz
author_sort Julian Pezzatti
title Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
title_short Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
title_full Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
title_fullStr Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
title_full_unstemmed Choosing an Optimal Sample Preparation in <i>Caulobacter crescentus</i> for Untargeted Metabolomics Approaches
title_sort choosing an optimal sample preparation in <i>caulobacter crescentus</i> for untargeted metabolomics approaches
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2019-09-01
description Untargeted metabolomics aims to provide a global picture of the metabolites present in the system under study. To this end, making a careful choice of sample preparation is mandatory to obtain reliable and reproducible biological information. In this study, eight different sample preparation techniques were evaluated using <i>Caulobacter crescentus</i> as a model for Gram-negative bacteria. Two cell retrieval systems, two quenching and extraction solvents, and two cell disruption procedures were combined in a full factorial experimental design. To fully exploit the multivariate structure of the generated data, the ANOVA multiblock orthogonal partial least squares (AMOPLS) algorithm was employed to decompose the contribution of each factor studied and their potential interactions for a set of annotated metabolites. All main effects of the factors studied were found to have a significant contribution on the total observed variability. Cell retrieval, quenching and extraction solvent, and cell disrupting mechanism accounted respectively for 27.6%, 8.4%, and 7.0% of the total variability. The reproducibility and metabolome coverage of the sample preparation procedures were then compared and evaluated in terms of relative standard deviation (RSD) on the area for the detected metabolites. The protocol showing the best performance in terms of recovery, versatility, and variability was centrifugation for cell retrieval, using MeOH:H<sub>2</sub>O (8:2) as quenching and extraction solvent, and freeze-thaw cycles as the cell disrupting mechanism.
topic metabolomics
sample preparation
hydrophilic interaction liquid chromatography
ion mobility spectrometry
high resolution mass spectrometry
design of experiments
AMOPLS
url https://www.mdpi.com/2218-1989/9/10/193
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