Normality of data sets was analyzed by the method of Kolmogorov and Smironov. Differences between means of normally distributed variables with similar variances were analyzed using a paired Student’s t-test or, for multiple comparisons, ANOVA followed by a Dunnett or Student–Newman–Keuls post-test, as appropriate. For the array, data from the Benjamini–Hochberg method were used for multiple testing correction. All data are from independent experiments on cells from different donors and are presented as mean ± SE. *indicates p < 0.05, **indicates p < 0.01, ***indicates p < 0.001.