CRISPR functional genomics
Knocking out every gene one at a time in cancer cells to find which ones they cannot live without.
Genome-wide knockout, activation, and base-editing screens across >1,000 cell lines (DepMap, Sanger Project Score) map cancer dependencies and synthetic-lethal pairs (PRMT5/MTAP, WRN/MSI). In vivo and immune co-culture screens find immunotherapy resistance genes.
How it works
Pooled sgRNA libraries; depletion or enrichment measured by sequencing.
- Systematic, unbiased dependency maps
- Cell line artefacts; context specificity
Latest papers
topQuery for this technology: (TITLE:"CRISPR screen" OR ABSTRACT:"CRISPR screen" OR TITLE:"genome-wide CRISPR" OR ABSTRACT:"genome-wide CRISPR" OR TITLE:"CRISPR-Cas9 screen" OR ABSTRACT:"CRISPR-Cas9 screen") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about CRISPR functional genomics, not a curated reading list.
Pages like this
not linked directly; found by shared links- TechnologyPatient-derived organoids
Shares Barcode patient-derived tumours to watch which clones win under each drug, A drug screen that only rewards killing sleeping cancer cells, Make in vivo metastasis screens a required step in drug discovery, Self-driving laboratories that run the cancer biology hypothesis loop autonomously.
- TechnologyPatient-derived xenografts
Shares The Jackson Laboratory Cancer Center, Barcode patient-derived tumours to watch which clones win under each drug, Make bespoke mouse cancer models in weeks with in vivo gene editing, Degraders for the fusion proteins that drive childhood sarcomas.
- TechnologyFunctional (ex vivo) drug testing
Shares Every resistance mechanism found in a patient must be rebuilt in the laboratory, An open atlas of collateral sensitivity for every approved targeted drug, Every drug screen includes standard reference compounds whose performance is published, A drug screen that only rewards killing sleeping cancer cells.
- BottleneckThe undruggable drivers
Shares Switch off an undruggable oncogene permanently with epigenetic editing, A drug screen that only rewards killing sleeping cancer cells, Attack the backup copy when a tumour has lost the original gene, Degraders for the fusion proteins that drive childhood sarcomas.
- TechnologyAI-driven drug & target discovery
Shares Phenom-2 and Recursion OS, A virtual cancer cell that predicts what a drug will do before you test it, Self-driving laboratories that run the cancer biology hypothesis loop autonomously, An open engine that ranks every drug pair by predicted synergy before anyone runs a trial.
- CompanyRecursion Pharmaceuticals
Shares Phenom-2 and Recursion OS, A virtual cancer cell that predicts what a drug will do before you test it, Self-driving laboratories that run the cancer biology hypothesis loop autonomously, The valley of death between lab and product.
- TechnologySingle-cell & spatial profiling
Shares State (Arc Institute perturbation model), An open model of every cancer cell state, built from perturbation atlases, Institut Pasteur, An open foundation model of the cancer cell trained on perturbation data.
- TargetTP53
Shares In vivo base and prime editing for cancer, Test every possible mutation in every cancer gene so no result is 'uncertain', Programmable DNA-targeting therapeutics, A synthetic lethality map for every cancer driver in every tissue context.