Table 1.

Quantitation and statistical significance of cell migration data

Transgene product mean RPers. ±s.e.m. Newman-Kuels P value versus control Newman-Kuels P value between conditions
Persistence
a GFP 1.00 0.02
b GFP-W2-WT 1.02 0.02 >0.05 <0.001 (b,c)
c GFP-W2-AAA 0.83 0.02 <0.001
d GFP (cont) 1.00 0.02
e GFP (KD) 0.93 0.02 <0.01 <0.001 (e,f) P>0.05 (e,g)
f GFP-W2-WT (KD) 1.03 0.02 >0.05 P<0.001 (f,g)
g GFP-W2-AAA (KD) 0.90 0.02 <0.001
Transgene product mean Rspeed ±s.e.m. Newman-Kuels P value versus control Newman-Kuels P value between conditions
Speed
a GFP 1.00 0.03
b GFP-W2-WT 1.09 0.03 >0.05 <0.001 (b,c)
c GFP-W2-AAA 1.37 0.04 <0.001
d GFP (cont) 1.00 0.03
e GFP (KD) 1.51 0.04 <0.001 <0.01 (e,f) >0.05 (e,g)
f GFP-W2-WT (KD) 1.34 0.04 <0.001 >0.05 (f,g)
g GFP-W2-AAA (KD) 1.41 0.04 <0.001
  • All cell lines/knockdown conditions were run concurrently in separate wells of a chamber slide. Cont, control siRNA; KD, WAVE2 siRNA. For each experiment, the persistence values of the control (EGFP-transfected cells treated with control siRNA—a is the control for b and c; d is the control for e-g) were averaged and the relative persistence (RPers.) of each tracked cell calculated by dividing its persistence value by the control mean. This controlled for variations in absolute persistence between experiments and enabled us to pool data from three separate experiments. A similar approach was used to determine relative speeds (Rspeed). P values are derived from ANOVA with Newman-Kuels post-tests to determine the significance of differences between conditions (shown in parentheses). See experimental procedures for details of statistical analysis. n=109 (a-c); n=134 (d-g).