Workflow4Metabolomics (W4M): A User-Friendly Metabolomics Platform for Analysis of Mass Spectrometry and Nuclear Magnetic Resonance Data

被引:0
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作者
Delporte, Cedric [1 ]
Tremblay-Franco, Marie [2 ,3 ]
Guitton, Yann [4 ]
Canlet, Cecile [2 ,3 ]
Weber, Ralf J. M. [5 ]
Hecht, Helge [6 ]
Price, Elliott James [6 ]
Klanova, Jana [6 ]
Joly, Charlotte [7 ]
Dalle, Celine [8 ]
St-Vanne, Julien [4 ]
Thevenot, Etienne [9 ]
Schmitz, Isabelle [10 ,11 ]
Chereau, Sylvain [12 ]
Dechaumet, Sylvain [9 ]
Dieme, Binta [7 ]
Giacomoni, Franck [7 ]
Le Corguille, Gildas [13 ,14 ]
Petera, Melanie [7 ]
Souard, Florence [15 ]
机构
[1] Univ Libre Bruxelles, Fac Pharm, Pharmacognosy Bioanal & Drug Dev & Analyt Platform, Brussels, Belgium
[2] Paul Sabatier Univ, Toulouse Univ, Toxalim Res Ctr Food Toxicol, ENVT,INP Purpan,INRAE UMR 1331, Toulouse, France
[3] Metatoul AXIOM platform, Natl Infrastruct Metabol & Flux, MetaboHUB, Toxalim,INRAE,UMR 1331, Toulouse, France
[4] INRAE, Oniris, LABERCA, Nantes, France
[5] Univ Birmingham, Sch Biosci, Birmingham, England
[6] Masaryk Univ, Fac Sci, RECETOX, Brno, Czech Republic
[7] Univ Clermont Auvergne, INRAE, INRAE, MetaboHUB Clermont,UNH, Plateforme Explorat Metab, Clermont Ferrand, France
[8] IRBA, French Armed Forces Biomed Res Inst, Radiobiol Unit, Bretigny Sur Orge, France
[9] Univ Paris Saclay, Dept Medicaments & Technol Sante DMTS, CEA, INRAE,MetaboHUB, Gif sur Yvette, France
[10] Univ Rouen Normandie, INSA Rouen Normandie, CNRS, PBS UMR 6270, Rouen, France
[11] Univ Rouen Normandy, HeRacLeS PISSARO, CNRS UAR 2026, HeRacLeS PISSARO, Rouen, France
[12] INRAE, Ctr Bretagne Normandie, UMR IGEPP 1349, Domaine Motte, F-35653 Le Rheu, France
[13] Sorbonne Univ, CNRS, FR2424, Stn Biol Roscoff,ABiMS, Roscoff, France
[14] CNRS, Inst Francais Bioinformat, UMS 3601, IFB,Genoscope, Evry, France
[15] Univ Libre Bruxelles ULB, Fac Pharm, Unit Pharmaceut & Biopharmaceut, Brussels, Belgium
来源
CURRENT PROTOCOLS | 2025年 / 5卷 / 02期
关键词
annotation; chemometrics; GC-MS; LC-MS; NMR; statistics; untargeted metabolomics; OPEN-SOURCE SOFTWARE; RETENTION INDEX; SPECTRA; CHROMATOGRAPHY; ANNOTATION; QUANTIFICATION; IDENTIFICATION; DECONVOLUTION; METABOLITES; UNIVARIATE;
D O I
10.1002/cpz1.70095
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Various spectrometric methods can be used to conduct metabolomics studies. Nuclear magnetic resonance (NMR) or mass spectrometry (MS) coupled with separation methods, such as liquid or gas chromatography (LC and GC, respectively), are the most commonly used techniques. Once the raw data have been obtained, the real challenge lies in the bioinformatics required to conduct: (i) data processing (including preprocessing, normalization, and quality control); (ii) statistical analysis for comparative studies (such as univariate and multivariate analyses, including PCA or PLS-DA/OPLS-DA); (iii) annotation of the metabolites of interest; and (iv) interpretation of the relationships between key metabolites and the relevant phenotypes or scientific questions to be addressed. Here, we will introduce and detail a stepwise protocol for use of the Workflow4Metabolomics platform (W4M), which provides user-friendly access to workflows for processing of LC-MS, GC-MS, and NMR data. Those modular and extensible workflows are composed of existing standalone components (e.g., XCMS and CAMERA packages) as well as a suite of complementary W4M-implemented modules. This tool suite is accessible worldwide through a web interface and is hosted on UseGalaxy France. The extensible Virtual Research Environment (VRE) provided offers pre-configured workflows for metabolomics communities (platforms, end users, etc.), as well as possibilities for sharing among users. By providing a consistent ecosystem of tools and workflows through Galaxy, W4M makes it possible to process MS and NMR data from hundreds of samples using an ordinary personal computer, after step-by-step workflow optimization. (c) 2025 Wiley Periodicals LLC.Basic Protocol 1: W4M account creation, working history preparation, and data uploadSupport Protocol 1: How to prepare an NMR zip fileSupport Protocol 2: How to convert MS data from proprietary format to open formatSupport Protocol 3: How to get help with W4M (IFB forum) and how to report a problem on the GitHub repositoryBasic Protocol 2: LC-MS data processingAlternate Protocol 1: GC-MS data processingAlternate Protocol 2: NMR data processingBasic Protocol 3: Statistical analysisBasic Protocol 4: Annotation of metabolites from LC-MS dataAlternate Protocol 3: Annotation of metabolites from NMR data
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页数:72
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