Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line.
Ontology highlight
ABSTRACT: The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAFV600E mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to uncover a cell-state landscape with two path
SUBMITTER: Su Y
PROVIDER: S-EPMC7214418 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
ACCESS DATA