2.7 | Data and statistical analysis
The data and statistical analysis comply with the recommendations of the British Journal of Pharmacology on experimental design and analysis in pharmacology (Curtis, Alexander et al. , 2018). No statistical methods were used to predetermine sample sizes and they were estimated based on previous established protocols in the field. No exclusion criteria were pre-established, and no data was excluded from analysis. No randomisation or blinding was performed. Normality of the dataset was tested with a Shapiro-Wilk test and subsequently, equality of variance was tested using either parametric or non-parametric Levene’s test. An unpaired Student´s t-test was used to probe the significance but for not normally distributed data, the Mann-Whitney U-test. If the variances of the data set were significantly different, statistical significance of the data set was probed with Welch’s t-test and for not normally distributed data with Mood’s median test. All data are presented as mean ± s.e.m.. Number of biological replicates (n) are illustrated in the respective figure legends or graphs. Significances are indicated with *, P < 0.01 in the figures. Data were acquired with pClamp 10 (Molecular Devices, California, USA) and analysed with Clampfit (Molecular Devices, California, USA), Excel 2016 (Microsoft, Washington, USA), OriginPro 2016 (OriginLab, Massachusetts, USA).