Computational modelling of LY303511 and TRAIL-induced apoptosis suggests dynamic regulation of cFLIP
- PMID: 23239672
- PMCID: PMC3562069
- DOI: 10.1093/bioinformatics/bts702
Computational modelling of LY303511 and TRAIL-induced apoptosis suggests dynamic regulation of cFLIP
Abstract
Motivation: TRAIL has been widely studied for the ability to kill cancer cells selectively, but its clinical usefulness has been hindered by the development of resistance. Multiple compounds have been identified that sensitize cancer cells to TRAIL-induced apoptosis. The drug LY303511 (LY30), combined with TRAIL, caused synergistic (greater than additive) killing of multiple cancer cell lines. We used mathematical modelling and ordinary differential equations to represent how LY30 and TRAIL individually affect HeLa cells, and to predict how the combined treatment achieves synergy.
Results: Model-based predictions were compared with in vitro experiments. The combination treatment model was successful at mimicking the synergistic levels of cell death caused by LY30 and TRAIL combined. However, there were significant failures of the model to mimic upstream activation at early time points, particularly the slope of caspase-8 activation. This flaw in the model led us to perform additional measurements of early caspase-8 activation. Surprisingly, caspase-8 exhibited a transient decrease in activity after LY30 treatment, prior to strong activation. cFLIP, an inhibitor of caspase-8 activation, was up-regulated briefly after 30 min of LY30 treatment, followed by a significant down-regulation over prolonged exposure. A further model suggested that LY30-induced fluctuation of cFLIP might result from tilting the ratio of two key species of reactive oxygen species (ROS), superoxide and hydrogen peroxide. Computational modelling extracted novel biological implications from measured dynamics, identified time intervals with unexplained effects, and clarified the non-monotonic effects of the drug LY30 on cFLIP during cancer cell apoptosis.
Figures
and H2O2.
(a) Simplified diagram of LY30’s influence on cFLIP. This model
is roughly divided into two phases. In the earlier phase,
is produced after LY30 treatment, and
the increased
will block the degradation of cFLIP, thus inducing its
up-regulation. In the later phase, H2O2 is produced by
conversion of
, and inhibits the production of cFLIP, lowering its
concentration. (b) Simulations of cFLIP, cFLIP_mRNA and degraded cFLIP
(cFLIP_Deg) over time, as predicted by the model in Figure 7a. The model is fully specified in
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