AI Insight
Tahoe-100M is a comprehensive atlas containing 100 million single-cell transcriptomes that documents how 50 different cancer cell lines respond to approximately 1,100 different drug treatments at various doses. This large-scale resource pairs single-cell data with molecular phenotypes to map drug mechanisms and cellular responses, creating an openly available dataset for developing predictive models of how cells behave under drug treatment.
Why it matters
This atlas provides researchers with an unprecedented resource for understanding drug responses at single-cell resolution, which could accelerate cancer drug discovery and personalized medicine approaches. The openly available dataset enables the development of machine learning models to predict how different cancer types will respond to specific treatments.
Understand the Science
Tahoe-100M is an atlas of 100 million single-cell transcriptomes, capturing how 50 cancer cell lines respond to ∼1,100 drug-dose treatments. By pairing single-cell and molecular phenotypes at scale, the resource links drug mechanisms to cellular responses and provides an openly available substrate for training predictive models of cell behavior.
Source: Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution