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. 2019 Apr 15;9:6107. doi: 10.1038/s41598-019-42554-7

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Volcano plot (p_corr vs. VIP) from the OPLS-DA model. Only the most discriminating metabolites having high VIP values ≥ 1 (indicated by the horizontal red line) have been labelled. Negative p_corr values (left) indicate diminished metabolite concentrations in siOPA1 neurons versus siLuc neurons, whereas positive p_corr values (right) indicate increased metabolite concentrations in siOPA1 neurons compared to the control group. The metabolomic signature accompanying the loss of OPA1 expression is associated to decreased levels of the amino acids (green bubbles) aspartate (Asp), glutamate (Glu) and threonine (Thr) and to increased levels of 34 phosphatidylcholines (PC, orange bubbles), 4 lysophosphatidylcholines (lysoPC, blue bubbles), 4 sphingomyelins (SM and SM(OH)), yellow bubbles) and the amino acid lysine (Lys, green bubble). Red-rimmed bubbles indicate metabolites significantly different between siOPA1 and siLUC neurons in univariate analysis (Wilcoxon test) after Benjamini-Hochberg correction.