1. Comparison of lipidome profiles of Caenorhabditis elegans—results from an inter-laboratory ring trial
- Author
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Nathalie Pujol, Ansgar Korf, Britta Spanier, Anna Weiser, Anne Laurençon, Steve Garvis, Jonathan J. Ewbank, Michael Witting, Sven W. Meyer, Shizue Omi, Aiko Barsch, Hugo Aguilaniu, Francesca Paladino, Centre National de la Recherche Scientifique (CNRS), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d'Immunologie de Marseille - Luminy (CIML), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Bruker Daltonics, Banner Lane, Laboratoire de biologie et modélisation de la cellule (LBMC UMR 5239), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Helmholtz-Zentrum München (HZM), ANR-16-CE15-0001,ELEGINN,Analyse intégrée de l'immunité innée antifongique chez C. elegans(2016), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Helmholtz Zentrum München = German Research Center for Environmental Health, and Technische Universität München [München] (TUM) more...
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Endocrinology, Diabetes and Metabolism ,Lipid profling ,[SDV]Life Sciences [q-bio] ,Clinical Biochemistry ,ved/biology.organism_classification_rank.species ,Computational biology ,Biology ,01 natural sciences ,Biochemistry ,03 medical and health sciences ,Antigens, CD ,Lipidomics ,Animals ,Lipid profiling ,Inter-laboratory ,[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM] ,Model organism ,Caenorhabditis elegans ,030304 developmental biology ,Profiling (computer programming) ,Laboratory comparison ,0303 health sciences ,ved/biology ,Caenorhabditis Elegans ,Laboratory Comparison ,Lipid Profiling ,Uhplc-qtof-ms ,010401 analytical chemistry ,Robustness (evolution) ,Reproducibility of Results ,Correction ,Lipidome ,biology.organism_classification ,Lipids ,Receptor, Insulin ,0104 chemical sciences ,ddc ,[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology ,UHPLC-QToF-MS ,Original Article ,Laboratories ,Biomarkers - Abstract
Introduction Lipidomic profiling allows 100s if not 1000s of lipids in a sample to be detected and quantified. Modern lipidomics techniques are ultra-sensitive assays that enable the discovery of novel biomarkers in a variety of fields and provide new insight in mechanistic investigations. Despite much progress in lipidomics, there remains, as for all high throughput “omics” strategies, the need to develop strategies to standardize and integrate quality control into studies in order to enhance robustness, reproducibility, and usability of studies within specific fields and beyond. Objectives We aimed to understand how much results from lipid profiling in the model organism Caenorhabditis elegans are influenced by different culture conditions in different laboratories. Methods In this work we have undertaken an inter-laboratory study, comparing the lipid profiles of N2 wild type C. elegans and daf-2(e1370) mutants lacking a functional insulin receptor. Sample were collected from worms grown in four separate laboratories under standardized growth conditions. We used an UPLC-UHR-ToF–MS system allowing chromatographic separation before MS analysis. Results We found common qualitative changes in several marker lipids in samples from the individual laboratories. On the other hand, even in this controlled experimental system, the exact fold-changes for each marker varied between laboratories. Conclusion Our results thus reveal a serious limitation to the reproducibility of current lipid profiling experiments and reveal challenges to the integration of such data from different laboratories. more...
- Published
- 2020
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