Table 1.

Statistical analysis of ITC binding parameters between gephyrin and GlyR β-loop variants and of sptPALM data of TMD-βL and GlyRβ variants

LineData structureType of testPower
aNormal distributionUnpaired two-tailed t test0.0005
bNormal distributionUnpaired two-tailed t test0.0001
cNormal distributionUnpaired two-tailed t test0.0008
dNormal distributionUnpaired two-tailed t testFor KD 0.3234/for ΔH 0.6921
eNormal distributionUnpaired two-tailed t test<0.0001
fNormal distributionUnpaired two-tailed t test<0.0001
gNormal distributionUnpaired two-tailed t test0.0003
hNormal distributionUnpaired two-tailed t test0.001
iNormal distributionUnpaired two-tailed t test0.0267
jNot normal distributionOne-way ANOVA/post hoc Bonferroni test>0.05
kNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison testFor areas <0.001/for Deff <0.001
lNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison testFor areas <0.001/for Deff <0.001
mNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison testFor areas <0.001/for Deff <0.001
nNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison test<0.001
oNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison testFor areas p < 0.001/for Deff p < 0.001
pNot normal distributionOne-way ANOVA (Kruskal–Wallis test)/post hoc Dunn’s multiple comparison testFor areas <0.0001/for Deff <0.0001

  • ITC-derived binding parameters from a minimum of three independent measurements were compared using an unpaired two-tailed t test. Diffusion values were compared via one-way ANOVA (Kruskal–Wallis test) followed by a post hoc Dunn’s multiple comparison test. The comparison test was applied due to differences in the number of detected trajectories (n = 700–10,000 synaptic trajectories for each construct from three to five independent experiments).