Prism 9

Data in bar graphs are presented as mean ± SD, except for scoring data, which are displayed as median. Nonparametric scoring data were tested using Kruskal–Wallis test. Mean ranks between groups were compared while correcting for FDR using Benjamini, Krieger, and Yekutieli two-stage step-up method. Remaining data were analyzed using two-way ANOVA with Sidak's multiple comparison post hoc test in Sigmaplot 13.0 (Systat Software Inc) and GraphPad Prism 9.1.0 (GraphPad Software). Sequencing data and proteomics were analyzed as described in the relevant sections. Data from the oxygraph measurements were analyzed with repeated two-way ANOVAs for each step. Data from all ADP concentrations were analyzed together. Data with unequal variance were transformed using log transformation. If equal variance was still not obtained, data were analyzed with Kruskal–Wallis test, with correction for FDR as described previously. All nonparametric statistical analyses were performed using GraphPad Prism 9.1.0. Pearson's correlation coefficient was calculated using GraphPad Prism 9.2.0. Statistical significance was defined as p < 0.05. ∗/∗∗ indicates effects of genotype, p < 0.05/0.01, respectively. ^#/^## indicates effects of treatment (diet or NR), p < 0.05/0.01, respectively.

For all experiments with two groups, mean values were compared using an unpaired t-test (GraphPad Prism 9.1.0). Multiple groups were analysed using one-way ANOVA (GraphPad Prism 9.1.0). For the survival examination of mice, survival curves were analysed by performing a Mantel–Cox test (GraphPad Prism 9.1.0). P-values of <0.05 were considered significant. The following P-values were used: *P = 0.01–0.05; **P = 0.001–0.01; ***P < 0.001. Data are presented as mean ± SD. The n values, representing the exact number of mice used for the experiments, are indicated in the figure legends.

All experiments were performed at least 3 times (n ≥ 3). At least three mice/group were used. For live-cell imaging, >150 neurons/condition were counted for each n. For colocalization, puncta counting, and TDP-43 intensity, ≥10 neurons/condition were counted for each n. For the FRAP experiment, ≥5 cells/conditions were analyzed for each n. When two groups were compared, the Kolmogorov-Smirnov test assessed the normality of each population. If the two populations’ results were normally distributed, then the unpaired t-student test was performed using the built-in function in Prism GraphPad 9.0. If one or both populations were not normally distributed, then the Mann-Whitney test was used to compare ranks or the Kolmogorov-Smirnov test was used using Prism GraphPad 9.0. The log-rank and Cox proportional hazards tests compared the Kaplan Meier curves and the statistical significance between curves was assessed with Cox (GraphPad software). For the FRAP experiment, statistical differences between the curves were evaluated by curve analysis (one-way ANOVA test) in Prism GraphPad 9.0.

The mean and STDEV were calculated with GraphPad Prism 9.0.2 (161). Localization patterns from fluorescence microscopy data, cell length distribution, and constrictions frequency were quantified based on the indicated number of cells per strain in three independent experiments unless otherwise indicated. Scatter dot plots were generated with GraphPad Prism 9.0.2 (161). Statistical analysis was performed with GraphPad Prism 9.0.2 (161). All data sets were tested for significant differences using a two-way ANOVA with multiple comparisons. A P-value < 0.01 was used to determine statistically significant difference. All P-values are provided in the figure legends.

Prism9 was used to generate all graphics. Nonparametric T-Tests (Mann–Whitney) were performed using Prism9 to generate all reported P values unless otherwise stated. Elsewhere, nonparametric one-way ANOVA (Kruskal Wallace) was performed using Prism9 to analyze RT-qpCR-generated data, and Rayleigh’s Tests was performed using ImageJ to analyze chemotaxis data. Throughout, an alpha value of 0.05 was used.
NS = nonsignificant = P > 0.05.
* = P < 0.05.
** = P < 0.01.
*** = P < 0.001.
**** = P < 0.0001.