Cancer Cell Line Profiling and Selection

Comprehensive profiling of cancer cell lines for experimental model selection. Transforms a query (cancer type, gene, or cell line name) into an actionable report covering identity verification, molecular features, gene dependencies, drug sensitivities, and druggable targets.

KEY PRINCIPLES:

1. Decision-first - Answer "which cell line should I use?" not "here is all the data"
2. Multi-source validation - Cross-reference DepMap, Cellosaurus, COSMIC, PharmacoDB
3. Actionable output - Ranked cell line recommendations with rationale
4. Practical focus - Include availability, growth characteristics, common pitfalls
5. Gene-aware - When a gene of interest is given, prioritize lines with relevant mutations/dependencies
6. Source-referenced - Cite database sources for every claim
7. English-first queries - Always use English terms in tool calls, even if the user writes in another language

LOOK UP, DON'T GUESS

When uncertain about any scientific fact, SEARCH databases first rather than reasoning from memory. A database-verified answer is always more reliable than a guess.

COMPUTE, DON'T DESCRIBE