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Knocking out every gene one at a time in cancer cells to find which ones they cannot live without.
CRISPR functional genomics uses pooled sgRNA libraries to knock out, activate, or base-edit every gene in cancer cells, then reads depletion or enrichment by sequencing to find which genes the cells cannot live without. Genome-wide screens across more than 1,000 cell lines (DepMap, Sanger Project Score) map cancer dependencies and synthetic-lethal pairs such as PRMT5/MTAP and WRN/MSI, several of which have become drug programmes. In vivo and immune co-culture screens find immunotherapy resistance genes. The output is a systematic, unbiased dependency map, though cell line artefacts and context specificity mean hits need validation in patient-relevant models. The simple version is a way to test every gene at once and ask which ones a cancer depends on.
Pooled sgRNA libraries; depletion or enrichment measured by sequencing.
Query 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.
Shares Cancer cell line encyclopedias and dependency maps, Barcode patient-derived tumours to watch which clones win under each drug, A drug screen that only rewards killing sleeping cancer cells, An open model of every cancer cell state, built from perturbation atlases.
Shares Barcode patient-derived tumours to watch which clones win under each drug, Make bespoke mouse cancer models in weeks with in vivo gene editing, The Jackson Laboratory Cancer Center, A pre-competitive consortium to validate or kill academic targets before licensing.
Shares Switch off an undruggable oncogene permanently with epigenetic editing, A drug screen that only rewards killing sleeping cancer cells, Turn chromosomal chaos into a weakness with KIF18A inhibitors, Attack the backup copy when a tumour has lost the original gene.
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.
Shares Algen Biotechnologies, 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.
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, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico.
Shares Cancer cell line encyclopedias and dependency maps, Defining a Cancer Dependency Map: which genes each cancer cell line cannot live without, Drivers, passengers & the two-hit model, Synthetic lethality.
Shares Every resistance mechanism found in a patient must be rebuilt in the laboratory, Make bespoke mouse cancer models in weeks with in vivo gene editing, 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.
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
Cancer-dedicated interpretation of gene lists from screens: drug targets, dependencies, prognosis and pathways in one report.
The code behind the Cancer Dependency Map portal, where CRISPR screens and drug sensitivities across cancer cell lines are explored openly.