%0 Journal Article %A Toonen, Lodewijk %A Overzier, Maurice %A Evers, Melvin %A Leon, Leticia %A van der Zeeuw, Sander %A Mei, Hailiang %A Kielbasa, Szymon %A Goeman, Jelle %A Hettne, Kristina %A Magnusson, Olafur %A Poirel, Marion %A Seyer, Alexandre %A ‘t Hoen, Peter %A van Roon-Mom, Willeke %D 2018 %T Additional file 8: of Transcriptional profiling and biomarker identification reveal tissue specific effects of expanded ataxin-3 in a spinocerebellar ataxia type 3 mouse model %U https://springernature.figshare.com/articles/journal_contribution/Additional_file_8_of_Transcriptional_profiling_and_biomarker_identification_reveal_tissue_specific_effects_of_expanded_ataxin-3_in_a_spinocerebellar_ataxia_type_3_mouse_model/6651710 %R 10.6084/m9.figshare.6651710.v1 %2 https://springernature.figshare.com/ndownloader/files/12168503 %K Spinocerebellar ataxia type 3 %K Mouse model %K RNA sequencing %K Metabolomics %X Figure S6. principal component analysis (PCA) of measured metabolites. Individual barcodes of mice are depicted, plasma was obtained for each mouse at 3 time points A) Age is significantly correlated with PC1 (ρ = − 0.586, p < 0.05), hence explaining most of the variation between samples. SCA3 n = 4, wild-type (WT) n = 4. B) The third principal component (PC) is significantly correlated with genotype (ρ = − 0.463, p < 0.05). PC3 and PC4 are shown. (PDF 280 kb) %I figshare