Fig. 1: Extraction of oscillatory characteristics with the software pyBOAT.
From: Circadian clock activity in human umbilical vein endothelial cells of preterm and term neonates
a Steps before the final analysis of recorded time-series data included pre-processing of all signals and ensemble-averaged rhythmical feature extraction of the entire data set of term and preterm samples vs. non-transduced (No-Luc) samples that served as null models (control). A schematic drawing of the lentiviral Per2prom-driven luciferase reporter can be found in the top right corner. AmpR: Ampicillin resistance gene, BlastR: Blasticidin resistance gene. b PyBOAT creates plots of the median and the interquartile range for each oscillatory characteristic over time (wavelet power, period, amplitude) for No-Luc and c for specimens from preterm and term infants. The point of maximal wavelet power (48.817 h post dexamethasone synchronization, red line) was used to extract oscillatory characteristics at a time point with the best data quality with regards to culture condition, duration of cell synchronization, and cell vitality as the ensemble-averaged data showed a decline of wavelet power, amplitude strength and a larger dispersion of period lengths with increased recording time.
