Table 2. P values for data in Fig. 6 Log... | Rockefeller University Press

Table 2.

P values for data in Fig. 6

Log [ACh] (M):	−9	−8.5	−8	−7.5	−7	−6.5	−6	−5.5	−5
Veh vs. L-NNA, Indo	0.6386	0.1156	0.091	0.0012	0.0169	0.0097	0.0441	0.0426	0.0432
All in the presence of L-NNA, Indo
Veh vs. PcTX1	0.9697	0.3630	0.9712	0.4479	0.9744	0.6251	0.0184	0.0086	0.0116
Veh vs. Tram/AP	0.7449	0.5454	0.9996	0.5537	0.5960	0.3092	0.0426	0.0437	0.0169
PcTX1 vs. Tram/AP	0.7875	0.9744	0.9909	0.9752	0.5357	0.6873	0.9069	0.4692	0.7627
Repeated-measures, BL vs. 10⁻⁹to 10⁻⁵[ACh] (indicates [ACh] affect on diameter)
Vehicle	0.8836	0.8285	0.4802	0.0145	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001
L-NNA, Indo	0.2808	0.6559	0.6334	0.9374	0.5581	0.0130	0.0122	0.0232	0.0285
L-NNA, Indo, PcTX1	0.4846	0.3019	0.9983	0.9022	0.7495	0.2803	0.5386	0.9878	0.8413
L-NNA, Indo, Tram/AP	0.9370	0.9979	0.9880	0.9998	0.9932	0.1773	0.1307	0.3101	0.3972

Log [ACh] (M):	−9	−8.5	−8	−7.5	−7	−6.5	−6	−5.5	−5
Veh vs. L-NNA, Indo	0.6386	0.1156	0.091	0.0012	0.0169	0.0097	0.0441	0.0426	0.0432
All in the presence of L-NNA, Indo
Veh vs. PcTX1	0.9697	0.3630	0.9712	0.4479	0.9744	0.6251	0.0184	0.0086	0.0116
Veh vs. Tram/AP	0.7449	0.5454	0.9996	0.5537	0.5960	0.3092	0.0426	0.0437	0.0169
PcTX1 vs. Tram/AP	0.7875	0.9744	0.9909	0.9752	0.5357	0.6873	0.9069	0.4692	0.7627
Repeated-measures, BL vs. 10⁻⁹to 10⁻⁵[ACh] (indicates [ACh] affect on diameter)
Vehicle	0.8836	0.8285	0.4802	0.0145	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001
L-NNA, Indo	0.2808	0.6559	0.6334	0.9374	0.5581	0.0130	0.0122	0.0232	0.0285
L-NNA, Indo, PcTX1	0.4846	0.3019	0.9983	0.9022	0.7495	0.2803	0.5386	0.9878	0.8413
L-NNA, Indo, Tram/AP	0.9370	0.9979	0.9880	0.9998	0.9932	0.1773	0.1307	0.3101	0.3972

Data represent biological replicates and were analyzed by two-way ANOVA. The two-way ANOVA revealed that there was a statistically significant interaction (P < 0.0001) between factors. Post hoc pairwise comparisons were analyzed between individual groups using Tukey’s multiple comparisons test. P < 0.05 (bold text) is considered significantly different.

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