Mechanistic modeling of cell viability assays with in silico lineage tracing.

ABSTRACT: Data from cell viability assays, which measure cumulative division and death events in a population and reflect substantial cellular heterogeneity, are widely available. However, interpreting such data with mechanistic computational models is hindered because direct model/data comparison is often muddled. We developed an algorithm that tracks simulated division and death events in mechanistically-detailed single-cell lineages to enable such a model/data comparison and suggest causes of cell-cell drug response variability. Using our previously developed model of mammalian single-cell proliferation and death signaling, we simulated drug dose response experiments for four targeted anti-cancer drugs (alpelisib, neratinib, trametinib and palbociclib) and compared them to experimental data. Simu

SUBMITTER: Mutsuddy A 

PROVIDER: S-EPMC12416836 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature