Table 1.
Feature | Comparison | Data structure (D’Agostino normality test) | Type of test | Sample size (# of NMJs, # of animals) |
Mean | Statistic | p Value | Outlier test |
---|---|---|---|---|---|---|---|---|
Structure | ||||||||
Bouton number | w1118 vs cowGDP/Df | Normal | Unpaired two-tailed t test | w1118 (15,8); cow null (16,8) | 23.53 vs 41.13 | t = 8.296 df = 29 | p < 0.0001 | |
Bouton number | vglut-GAL4 vs UAS-cow-RNAi | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | vglut-GAL4 (16,8); UAS-Cow-RNAi (16,8) | 26.69 vs 28.8 | Mean rank diff = −2.938 | p > 0.9999 | |
vglut-GAL4 vs vglut>cow-RNAi | vglut-GAL4 (16,8); vglut>cow-RNAi (15,8) | 26.69 vs 37.38 | Mean rank diff = −19.09 | p = 0.0002 | ||||
UAS-cow-RNAi vs vglut>cow-RNAi | UAS-cow-RNAi (16,8); vglut>cow-RNAi (15,8) | 28.8 vs 37.38 | Mean rank diff = −16.16 | p = 0.0031 | ||||
Bouton number | 24B-GAL4 vs UAS-cow-RNAi | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | 24B-GAL4 (16,8); UAS-cow-RNAi (16,8) | 30.63 vs 31.5 | Mean rank diff = −6.188 | p = 0.6307 | |
24B-GAL4 vs 24B>cow-RNAi | 24B-GAL4 (16,8); 24B>cow-RNAi (16,8) | 30.63 vs 28.06 | Mean rank diff = 3.563 | p > 0.9999 | ||||
UAS-cow-RNAi vs 24B>cow-RNAi | UAS-cow-RNAi (16,8); 24B>cow-RNAi (16,8) | 31.5 vs 28.06 | Mean rank diff = 9.75 | p = 0.1451 | ||||
Bouton number | vglut/+ vs vglut>Cow | Normal | Unpaired two-tailed t test | vglut/+ (16,8); vglut>Cow (16,8) | 25.25 vs 27.06 | t = 1.122 df = 30 | p = 0.2706 | |
Bouton number | 24B/+ vs 24B>Cow | Normal | Unpaired two-tailed t test | 24B/+ (16,8); 24B>Cow (16,8) | 30.38 vs 29.81 | t = 0.2317 df = 30 | p = 0.8183 | |
Bouton number | FRT-Wg vs FRT-Wg;CowGDP | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | FRT-Wg (24,12); FRT-Wg;CowGDP (24,12) | 26.71 vs 31.71 | Mean rank diff = −22.29 | p = 0.0300 | |
FRT-Wg vs NRT-Wg | FRT-Wg (24,12); NRT-Wg (24,12) | 26.71 vs 27.04 | Mean rank diff = −3.521 | p > 0.9999 | ||||
FRT-Wg vs NRT-Wg;CowGDP | FRT-Wg (24,12); NRT-Wg;CowGDP (23,12) | 26.71 vs 26.78 | Mean rank diff = 0.4312 | p > 0.9999 | ||||
FRT-Wg;CowGDP vs NRT-Wg | FRT-Wg;CowGDP (24,12); NRT-Wg (24,12) | 31.71 vs 27.04 | Mean rank diff = 18.77 | p = 0.1085 | ||||
FRT-Wg;CowGDP vs NRT-Wg;CowGDP | FRT-Wg;CowGDP (24,12); NRT-Wg;CowGDP (23,12) | 31.71 vs 26.78 | Mean rank diff = 22.72 | p = 0.0278 | ||||
NRT-Wg vs NRT-Wg;CowGDP | NRT-Wg (24,12); NRT-Wg;CowGDP (23,12) | 27.04 vs 26.78 | Mean rank diff = 3.952 | p > 0.9999 | ||||
Bouton number | w1118 vs cowGDP/+ | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | w1118 (15,8); cowGDP/+ (15,8) | 28.33 vs 35.73 | Mean rank diff = −15.93 | p = 0.0929 | |
w1118 vs NotumKO/+ | w1118 (15,8); NotumKO/+ (16,8) | 28.33 vs30.75 | Mean rank diff = −5.565 | p > 0.9999 | ||||
w1118 vs. cowGDP/NotumKO | w1118 (15,8); cowGDP/NotumKO (16,8) | 28.33 vs 46.13 | Mean rank diff = −35.81 | p < 0.0001 | ||||
cowGDP/+ vs NotumKO/+ | cowGDP/+ (15,8); NotumKO/+ (16,8) | 35.73 vs 30.75 | Mean rank diff = 10.37 | p = 0.6569 | ||||
cowGDP/+ vs cowGDP/NotumKO | cowGDP/+ (15,8); cowGDP/NotumKO (16,8) | 35.75 vs 46.13 | Mean rank diff = −19.88 | p = 0.0129 | ||||
NotumKO/+ vs cowGDP/NotumKO | NotumKO/+ (16,8); cowGDP/NotumKO (16,8) | 30.75 vs 46.13 | Mean rank diff = −30.25 | p < 0.0001 | ||||
Bouton number | w1118 vs cowGDP/cowGDP | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (18,10); cowGDP/cowGDP (19,10) | 22.94 vs 33.74 | q = 9.731 df = 76 | p < 0.0001 | |
w1118 vs NotumKO/NotumKO | w1118 (18,10); NotumKO/NotumKO (20,10) | 22.94 vs 30.5 | q = 6.897 df = 76 | p < 0.0001 | ||||
w1118 vs cowGDP,NotumKO/cowGDP,NotumKO | w1118 (18,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 22.94 vs 29.13 | q = 5.83 df = 76 | p = 0.0005 | ||||
cowGDP/cowGDP vs NotumKO/NotumKO | cowGDP/cowGDP (19,10); NotumKO/NotumKO (20,10) | 33.74 vs 30.5 | q = 2.996 df = 76 | p = 0.1564 | ||||
cowGDP/cowGDP vs cowGDP,NotumKO/cowGDP,NotumKO | cowGDP/cowGDP (19,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 33.74 vs 29.13 | q = 4.407 df = 76 | p = 0.0135 | ||||
NotumKO/NotumKO vs cowGDP,NotumKO/cowGDP,NotumKO | NotumKO/NotumKO (20,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 30.5 vs 29.13 | q = 1.328 df = 76 | p = 0.7838 | ||||
% Satellite Boutons | w1118 vs cowGDP/Df | Normal | Unpaired two-tailed t test | w1118 (15,8); cow null (15,8) | 3.301 vs 3.336% | t = 0.03021 df = 28 | p = 0.9761 | ROUT, Q = 1%, removed 1 cowGDP/Df value |
% Satellite boutons | vglut-GAL4/+ vs UAS-Cow-RNAi/+ | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | vglut-GAL4/+ (16,8); UAS-Cow-RNAi/+ (15,8) | 2.895 vs 2.908% | q = 0.016 df = 42 | p > 0.9999 | ROUT, iQ = 1%, removed 2 vglut>Cow-RNAi values |
vglut-GAL4/+ vs vglut>Cow-RNAi | vglut-GAL4/+ (16,8); vglut>Cow-RNAi (14,8) | 2.895 vs 5.772% | q = 3.309 df = 42 | p = 0.0612 | ||||
UAS-Cow-RNAi/+ vs vglut>Cow-RNAi | UAS-Cow-RNAi/+ (15,8); vglut>Cow-RNAi (14,8) | 2.908 vs 5.772% | q = 3.244 df = 42 | p = 0.0677 | ||||
% Satellite boutons | 24B-GAL4/+ vs UAS-Cow-RNAi/+ | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | 24B-GAL4/+ (16,8); UAS-Cow-RNAi/+ (16,8) | 0.88 vs 2.381% | Mean rank diff = −8.656 | p = 0.1328 | |
24B-GAL4/+ vs 24B>cow-RNAi | 24B-GAL4/+ (16,8); 24B>cow-RNAi (16,8) | 0.88 vs 2.806% | Mean rank diff = −8.969 | p = 0.1114 | ||||
UAS-Cow-RNAi/+ vs 24B>cow-RNAi | UAS-Cow-RNAi/+ (16,8): 24B>cow-RNAi (16,8) | 2.381 vs 2.806% | Mean rank diff = −0.3125 | p > 0.9999 | ||||
% Satellite boutons | vglut/+ vs vglut>Cow | Not normal | Mann–Whitney test | vglut/+ (16,8); vglut>Cow (16,8) | 2.326 vs 7.121% | U = 38 | p = 0.0003 | |
% Satellite boutons | 24B/+ vs 24B>Cow | Normal | Unpaired two-tailed t test | 24B/+ (16,8); 24B>Cow (16,8) | 3.164 vs 5.476% | t = 1.177 df = 30 | p = 0.2486 | |
% Satellite boutons | FRT-Wg vs FRT-Wg;CowGDP | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | FRT-Wg (16,8); FRT-Wg;CowGDP (16,8) | 2.038 vs 1.002% | Mean rank diff = 5.167 | p > 0.9999 | |
FRT-Wg vs NRT-Wg | FRT-Wg (16,8); NRT-Wg (16,8) | 2.038 vs 8.304% | Mean rank diff = −26.08 | p = 0.0021 | ||||
FRT-Wg vs NRT-Wg;CowGDP | FRT-Wg (16,8); NRT-Wg;CowGDP (16,8) | 2.038 vs 3.595% | Mean rank diff = −5.452 | p > 0.9999 | ||||
FRT-Wg;CowGDP vs NRT-Wg | FRT-Wg;CowGDP (16,8); NRT-Wg (16,8) | 1.002 vs 8.304% | Mean rank diff = −31.25 | p = 0.0001 | ||||
FRT-Wg;CowGDP vs NRT-Wg;CowGDP | FRT-Wg;CowGDP (16,8); NRT-Wg;CowGDP (16,8) | 1.002 vs3.595% | Mean rank diff = −10.62 | p > 0.9999 | ||||
NRT-Wg vs NRT-Wg;CowGDP | NRT-Wg (16,8); NRT-Wg;CowGDP (16,8) | 8.304 vs 3.595% | Mean rank diff = 20.63 | p = 0.0038 | ||||
% Satellite boutons | w1118 vs cowGDP/+ | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | w1118 (15,8); cowGDP/+ (15,8) | 1.89 vs 3.079% | Mean rank diff = −7.867 | p > 0.9999 | |
w1118 vs NotumKO/+ | w1118 (15,8); NotumKO/+ (16,8) | 1.89 vs 3.379% | Mean rank diff = −10.95 | p = 0.4586 | ||||
w1118 vs cowGDP/NotumKO | w1118 (15,8); cowGDP/NotumKO (16,8) | 1.89 vs 3.337% | Mean rank diff = −13.2 | p = 0.1961 | ||||
cowGDP/+ vs NotumKO/+ | cowGDP/+ (15,8); NotumKO/+ (16,8) | 3.079 vs 3.379% | Mean rank diff = −3.079 | p > 0.9999 | ||||
cowGDP/+ vs cowGDP/NotumKO | cowGDP/+ (15,8); cowGDP/NotumKO (16,8) | 3.079 vs 3.337% | Mean rank diff = −5.329 | p > 0.9999 | ||||
NotumKO/+ vs cowGDP/NotumKO | NotumKO/+ (16,8); cowGDP/NotumKO (16,8) | 3.379 vs 3.337% | Mean rank diff = −2.25 | p > 0.9999 | ||||
% Satellite boutons | w1118 vs cowGDP/cowGDP | Not normal | Kruskal–Wallis with Dunn's multiple-comparisons test | w1118 (18,10); cowGDP/cowGDP (19,10) | 1.904 vs 1.623% | Mean rank diff = 2.006 | p > 0.9999 | |
w1118 vs NotumKO/NotumKO | w1118 (18,10); NotumKO/NotumKO (20,10) | 1.904 vs 2.443% | Mean rank diff = −1.989 | p > 0.9999 | ||||
w1118 vs cowGDP,NotumKO/cowGDP,NotumKO | w1118 (18,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 1.904 vs 0.5223% | Mean rank diff = 9.155 | p = 0.7029 | ||||
cowGDP/cowGDP vs NotumKO/NotumKO | cowGDP/cowGDP (19,10); NotumKO/NotumKO (20,10) | 1.623 vs 2.443% | Mean rank diff = −3.995 | p > 0.9999 | ||||
cowGDP/cowGDP vs cowGDP,NotumKO/cowGDP,NotumKO | cowGDP/cowGDP (19,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 1.623 vs 0.5223% | Mean rank diff = 7.149 | p > 0.9999 | ||||
NotumKO/NotumKO vs cowGDP,NotumKO/cowGDP,NotumKO | NotumKO/NotumKO (20,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) | 2.443 vs 0.5223% | Mean rank diff = 11.14 | p = 0.2978 | ||||
Expression | ||||||||
Cow intensity | vglut/+ vs vglut>Cow | Not normal | Mann–Whitney test | vglut/+ (16,8); vglut>Cow (16,8) | 1 vs 3.035 | U = 0 | p < 0.0001 | |
Cow intensity | 24B/+ vs 24B>Cow | Not normal | Mann–Whitney test | 24B/+ (16,8); 24B>Cow (16,8) | 1 vs 3.907 | U = 0 | p < 0.0001 | |
Wg intensity | vglut/+ vs vglut>Cow | Not normal | Mann–Whitney test | vglut/+ (16,8); vglut>Cow (16,8) | 1 vs 0.6731 | U = 46 | p = 0.0014 | |
Wg intensity | 24B/+ vs 24B>Cow | Normal | Unpaired two-tailed t test | 24B/+ (16,8); 24B>Cow (16,8) | 1 vs 1.518 | t = 3.266 df = 30 | p = 0.0027 | |
Wg intensity | w1118 vs cowGDP/+ | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (15,8); cowGDP/+ (15,8) | 1 vs 0.885 | q = 1.328 df = 56 | p = 0.7840 | |
w1118 vs NotumKO/+ | w1118 (15,8); NotumKO/+ (15,8) | 1 vs 1.095 | q = 1.094 df = 56 | p = 0.8660 | ||||
w1118 vs cowGDP/NotumKO | w1118 (15,8); cowGDP/NotumKO (15,8) | 1 vs 0.9014 | q = 1.139 df = 56 | p = 0.8515 | ||||
cowGDP/+ vs NotumKO/+ | cowGDP/+ (15,8); NotumKO/+ (15,8) | 0.885 vs 1.095 | q = 2.422 df = 56 | p = 0.3268 | ||||
cowGDP/+ vs cowGDP/NotumKO | cowGDP/+ (15,8); cowGDP/NotumKO (15,8) | 0.885 vs 0.9014 | q = 0.1886 df = 56 | p = 0.9991 | ||||
NotumKO/+ vs cowGDP/NotumKO | NotumKO/+ (15,8); cowGDP/NotumKO (15,8) | 1.095 vs 0.9014 | q = 2.234 df = 56 | p = 0.3985 | ||||
Brp punctae number | w1118 vs cowGDP | Normal | Unpaired two-tailed t test | w1118 (15,8); cowGDP (15,8) | 193.1 vs 284.8 | t = 6.152 df = 28 | p < 0.0001 | |
Brp punctae Volume | w1118 vs cowGDP | Normal | Unpaired two-tailed t test | w1118 (15,8); cowGDP (15,8) | 0.8576 vs 0.7164 μm3 | t = 3.429 df = 28 | p = 0.0019 | ROUT, Q = 1%, removed 1 cowGDP value |
Brp punctae number | w1118 vs cowGDP | Normal | Unpaired two-tailed t test | w1118 (11,8); cowGDP (10,8) | 298.6 vs 387.9 | t = 3.598 df = 19 | p = 0.0019 | |
GluR cluster number | w1118 vs cowGDP | Normal | Unpaired two-tailed t test | w1118 (11,8); cowGDP (9,6) | 382 vs 542.8 | t = 4.353 df = 18 | p = 0.0004 | |
Function | ||||||||
EJC amplitude | w1118 vs cowGDP | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (26,20); cowGDP (20,18) | 171.6 vs 212.1 nA | q = 3.868 df = 53 | p = 0.0227 | ROUT, Q = 1%, removed 1 cowGDP value |
w1118 vs cowGDP/Df | w1118 (26,20); cowGDP/Df (10,9) | 171.6 vs 254.2 nA | q = 4.197 df = 53 | p = 0.0123 | ||||
cowGDP vs cowGDP/Df | cowGDP (20,18); cowGDP/Df (10,9) | 212.1 vs 254.2 nA | q = 1.063 df = 53 | p = 0.7341 | ||||
EJC amplitude | w1118 vs cowGDP/+ | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (10,6); cowGDP/+ (11,6) | 217.2 vs 234.9 nA | q = 0.9383 df = 40 | p = 0.9101 | |
w1118 vs notumKO/+ | w1118 (10,6); notumKO/+ (11,9) | 217.2 vs 214.1 nA | q = 0.1649 df = 40 | p = 0.9994 | ||||
w1118 vs cowGDP/notumKO | w1118 (10,6); cowGDP/notumKO (12,7) | 217.2 vs 235.9 nA | q = 1.009 df = 40 | p = 0.8911 | ||||
cowGDP/+ vs notumKO/+ | cowGDP/+ (11,6); notumKO/+ (11,9) | 234.9 vs 214.1 nA | q = 1.13 df = 40 | p = 0.8543 | ||||
cowGDP/+ vs cowGDP/notumKO | cowGDP/+ (11,6); cowGDP/notumKO (12,7) | 234.9 vs 235.9 nA | q = 0.05304 df = 40 | p > 0.9999 | ||||
notumKO/+ vs cowGDP/notumKO | notumKO/+ (11,9); cowGDP/notumKO (12,7) | 214.1 vs 235.9 nA | q = 1.208 df = 40 | p = 0.8282 | ||||
mEJC Frequency | w1118 vs cowGDP | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (22,17); cowGDP (21,15) | 1.396 vs 1.765 Hz | q = 1.419 df = 53 | p = 0.5780 | |
w1118 vs cowGDP/Df | w1118 (22,17); cowGDP/Df (13,11) | 1.396 vs 2.41 Hz | q = 3.406 q = 53 | p = 0.0503 | ||||
cowGDP vs cowGDP/Df | cowGDP (21,15); cowGDP/Df (13,11) | 1.764 vs 2.41 Hz | q = 2.15 df = 53 | p = 0.2897 | ||||
mEJC Frequency | vglut-GAL4/+ vs vglut>Cow-RNAi | Normal | Unpaired two-tailed t test | vglut-GAL4/+ (10,7); vglut>Cow-RNAi (11,7) | 1.497 vs 2.449 Hz | t = 2.142 df = 19 | p = 0.0454 | ROUT, Q = 1%, removed 1 vglut-GAL4/+ value |
mEJC amplitude | w1118 vs cowGDP | Normal | Ordinary one-way ANOVA with Tukey's multiple-comparisons test | w1118 (21,16); cowGDP (21,15) | 0.7518 vs 0.8682 nA | q = 2.506 df = 52 | p = 0.1889 | ROUT, Q = 1%, removed 1 w1118 value |
w1118 vs cowGDP/Df | w1118 (21,16); cowGDP/Df (13,11) | 0.7518 vs 0.7165 nA | q = 0.6647 df = 52 | p = 0.8856 | ||||
cowGDP vs cowGDP/Df | cowGDP (21,15); cowGDP/Df (13,11) | 0.8682 vs 0.7165 nA | q = 2.857 df = 52 | p = 0.1175 | ||||
mEJC amplitude | vglut-GAL4/+ vs vglut>Cow-RNAi | Normal | Unpaired two-tailed t test | vglut-GAL4/+ (11,7); vglut>Cow-RNAi (11,7) | 0.8015 vs 0.8446 nA | t = 0.8011 df = 20 | p = 0.4325 | |
Frequency | vglut/+ vs vglut>RNAi | Not normal (Shapiro–Wilk normality test performed because N too small) | Mann–Whitney test | vglut/+ (7,4); vglut>RNAi (6,3) | 1.617 vs 2.977 Hz/μm2 | U = 7 | p = 0.0513 | |
Mean ΔF/F0 | vglut/+ vs vglut>RNAi | Normal (Shapiro–Wilk normality test performed because N too small) | Unpaired two-tailed t test | vglut/+ (8,4); vglut>RNAi (5,3) | 0.7912 vs 1.058 ΔF/F0 | t = 3.013 df = 11 | p = 0.0118 |