CellJClub
Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.
Cell · · Journal Article · Open access
Zhang, Ubas + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
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.
The findingWhy it mattersWhat they didThe result
- 1 opens in JClub
- Open access