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Jung JH, Reis F, Richards CL, Bossdorf O. Understanding plant microbiomes requires a genotype × environment framework. Am J Bot 2021; 108:1820-1823. [PMID: 34613613 DOI: 10.1002/ajb2.1742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 08/06/2021] [Accepted: 08/06/2021] [Indexed: 05/10/2023]
Affiliation(s)
- Jun Hee Jung
- Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, 72076 Tübingen, Germany
| | - Frank Reis
- Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, 72076 Tübingen, Germany
| | - Christina L Richards
- Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, 72076 Tübingen, Germany
- Department of Integrative Biology, University of South Florida, Tampa, FL, 33620, USA
| | - Oliver Bossdorf
- Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, 72076 Tübingen, Germany
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González-Ruiz V, Schvartz D, Sandström J, Pezzatti J, Jeanneret F, Tonoli D, Boccard J, Monnet-Tschudi F, Sanchez JC, Rudaz S. An Integrative Multi-Omics Workflow to Address Multifactorial Toxicology Experiments. Metabolites 2019; 9:E79. [PMID: 31022902 PMCID: PMC6523777 DOI: 10.3390/metabo9040079] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/03/2019] [Accepted: 04/21/2019] [Indexed: 01/02/2023] Open
Abstract
Toxicology studies can take advantage of omics approaches to better understand the phenomena underlying the phenotypic alterations induced by different types of exposure to certain toxicants. Nevertheless, in order to analyse the data generated from multifactorial omics studies, dedicated data analysis tools are needed. In this work, we propose a new workflow comprising both factor deconvolution and data integration from multiple analytical platforms. As a case study, 3D neural cell cultures were exposed to trimethyltin (TMT) and the relevance of the culture maturation state, the exposure duration, as well as the TMT concentration were simultaneously studied using a metabolomic approach combining four complementary analytical techniques (reversed-phase LC and hydrophilic interaction LC, hyphenated to mass spectrometry in positive and negative ionization modes). The ANOVA multiblock OPLS (AMOPLS) method allowed us to decompose and quantify the contribution of the different experimental factors on the outcome of the TMT exposure. Results showed that the most important contribution to the overall metabolic variability came from the maturation state and treatment duration. Even though the contribution of TMT effects represented the smallest observed modulation among the three factors, it was highly statistically significant. The MetaCore™ pathway analysis tool revealed TMT-induced alterations in biosynthetic pathways and in neuronal differentiation and signaling processes, with a predominant deleterious effect on GABAergic and glutamatergic neurons. This was confirmed by combining proteomic data, increasing the confidence on the mechanistic understanding of such a toxicant exposure.
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Affiliation(s)
- Víctor González-Ruiz
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
| | - Domitille Schvartz
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
- Translational Biomarker Group, Department of Internal Medicine Specialties, University of Geneva, 1206 Geneva, Switzerland.
| | - Jenny Sandström
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
- Department of Physiology, University of Lausanne, 1005 Lausanne, Switzerland.
| | - Julian Pezzatti
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
| | - Fabienne Jeanneret
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
| | - David Tonoli
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
| | - Julien Boccard
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
| | - Florianne Monnet-Tschudi
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
- Department of Physiology, University of Lausanne, 1005 Lausanne, Switzerland.
| | - Jean-Charles Sanchez
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
- Translational Biomarker Group, Department of Internal Medicine Specialties, University of Geneva, 1206 Geneva, Switzerland.
| | - Serge Rudaz
- Analytical Sciences, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1206 Geneva, Switzerland.
- Swiss Centre for Applied Human Toxicology, 4055 Basel, Switzerland.
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