Single-cell imaging techniques for the real-time detection of IP₃ in live cells

Exploring group size for statistical analysis of real-time signalling experiments

BACKGROUND AND PURPOSE

Classical pharmacological bioassays generally use observed effects from a concentration series, at a single equilibrium time point to construct a concentration-effect curve, representing one experiment. However, if the full kinetic profile of the effect data for each concentration was evaluated simultaneously, then the analysis would be more powerful. In this work, we explore if more precise parameters can be achieved by using the full kinetic method.

EXPERIMENTAL APPROACH

We used a simulation estimation study to explore the influence of kinetic analysis on the precision of the E_max model parameter estimates (E_max and C₅₀ ). We compared a full kinetic approach in which all effect versus time data from a theoretical real-time signalling experiment were analysed simultaneously with a 'reference' approach. The theoretical real-time signalling experiment was based on a previously published CB₂ receptor-binding experiment.

KEY RESULTS

The reference method with a group size (n) of 5 provided highly precise parameter estimates (coefficient of variation [CV] 3.4% for E_max and 0.72% for C₅₀ ). A full kinetic method provided more precise estimates than the reference with equal or smaller group sizes. Note that group size 'n' here refers to the number of technical replicates rather than the number of biological replicates.

CONCLUSION AND IMPLICATIONS

A full kinetic method can yield more precise parameter estimates than the equilibrium method. Such an approach may be more useful for researchers.