A computational modelling framework to quantify the effects of passaging cell lines
July 2017
in “
bioRxiv (Cold Spring Harbor Laboratory)
”
TLDR Passage numbers affect cell growth and experiment results.
The study used computational modeling to explore how cell characteristics change with increased passage numbers in in vitro cell cultures. It found that the average proliferation rate could either increase or decrease due to the interplay between initial cell heterogeneity and damage from passaging. Simulations of scratch assays revealed significant differences in closure rates depending on passage numbers, highlighting the importance of reporting passage numbers in experiments for reproducibility. The study also suggested further experimental work to validate or refine the simulation results.