Fig. 1.
Statistical analyses of metabolomics results separate GarsNmf249/+/CMT2D samples from littermate controls. (A) A hierarchical clustering analysis separates the mutant and control samples into two distinct clades. (B) Principal component analysis also separates the samples by genotype when plotted against the first two principal components. (C) A heat map of the top 70 most significant metabolites from the Student's t-test analysis also distinguishes mutant and control samples. Metabolites names are abbreviated, but full names are provided in Table S1. Metabolite names beginning with X- are detected metabolites based on mass and retention time, but are of unknown chemical structure.