Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.

Tahoe-100M maps 100 million single-cell transcriptomes across 50 cancer cell lines under 1,100 drug conditions, revealing detailed drug-induced molecular phenotypes.

• Why it matters: Understanding how drugs affect cellular states at single-cell resolution is crucial for improving targeted therapies and overcoming resistance, but large-scale, high-throughput data has been lacking.
• What they did: Using the Mosaic platform, researchers generated a giga-scale atlas by profiling genetically distinct cell populations treated with diverse drugs, capturing transcriptomic and phenotypic responses.
• The result: This comprehensive dataset enables modeling of gene regulation, drug mechanisms, and resistance pathways, supporting AI-driven predictive tools and advancing personalized cancer treatment strategies.