Cell death can be executed by regulated apoptotic and non-apoptotic pathways, including the iron-dependent process of ferroptosis. Small molecules are essential tools for studying the regulation of cell death. Using live-cell, time-lapse imaging, and a library of 1,833 small molecules including FDA-approved drugs and investigational agents, we assemble a large compendium of kinetic cell death 'modulatory profiles' for inducers of apoptosis and ferroptosis. From this dataset we identified dozens of small molecule inhibitors of ferroptosis, including numerous investigational and FDA-approved drugs with unexpected off-target antioxidant or iron chelating activities. ATP-competitive mechanistic target of rapamycin (mTOR) inhibitors, by contrast, were on-target ferroptosis inhibitors. Further investigation revealed both mTOR-dependent and mTOR-independent mechanisms linking amino acid levels to the regulation of ferroptosis sensitivity in cancer cells. These results highlight widespread bioactive compound pleiotropy and link amino acid sensing to the regulation of ferroptosis.

Individual cancer cells within a population can exhibit substantial phenotypic heterogeneity such that exposure to a lethal agent will kill only a fraction of cells at a given time. Whether common molecular mechanisms govern this fractional killing in response to different lethal stimuli is poorly understood. In part, this is because it is difficult to compare fractional killing between conditions using existing approaches. Here, we show that fractional killing can be quantified and compared for hundreds of populations in parallel using high-throughput time-lapse imaging.We find that fractional killing is highly variable between lethal agents and between cell lines. At the molecular level, we find that the antiapoptotic protein MCL1 is an important determinant of fractional killing in response to mitogen activated protein kinase (MAPK) pathway inhibitors but not other lethal stimuli. These studies lay the foundation for the large-scale, quantitative analysis of cell death phenotypic heterogeneity.3