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Fig. 5 Spatial patterning of JNK activity after SCI. (A) JNK activity along the full anterior expanse of the spinal cord at 2 dpi. Top: Maximum intensity projection of cJun-NES-Venus fluorescence. Bottom: Heatmap of calculated JNK-KTR values in each individual cell. Dashed yellow lines show the location of the lesion site. Scale bar: 100 µm. (B) JNK-KTR values at 2 dpi increase near the lesion site and are comparable to JNK values in an uninjured control animal distal to the lesion site. Each line represents the mean JNK activity in each bin along the x-axis (n=8 animals across two experiments; error bars represent s.e.m.; two-way ANOVA in black comparing both curves, and one-way ANOVA in red and blue for the comparison between bins of the 2 dpi and uninjured datasets, respectively). (C) Each individual animal measured at 2 dpi reveals significantly higher JNK activity proximal to the lesion than distal to the lesion, as demonstrated by average JNK activity in two discrete bins. Uninjured animals show no significant trend in JNK activity across the same image frame (n=8 animals across two experiments; paired t-test). (D) JNK activity distal from the lesion shows no bias in DV distribution, and no measurable change in DV distribution from uninjured controls. Each line represents the mean JNK activity in each bin along the y-axis, and the red line represents values measured in cells in the distal half of each image from the injury site (n=8 animals across two experiments; two-way ANOVA in black comparing both curves, and one-way ANOVA in red for the comparison between bins in the injured dataset). (E) JNK activity proximal to the lesion shows a dorsal bias in DV distribution, which differs significantly from the DV distribution in uninjured controls. Each line represents the mean JNK activity in each bin along the y-axis, and the red line represents values measured in cells in the proximal half of each image to the injury site (n=8 animals across two experiments; two-way ANOVA in black comparing both curves, and one-way ANOVA in red for the comparison between bins in the injured dataset). a.u. arbitrary units.