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).