Loading
collectionsCollection
DepMap (Cancer Dependency Map)
Which genes each cancer cell line cannot live without. The map of synthetic-lethal targets.
Also called: Broad DepMap portalDepMap portalCancer Dependency Map
Overview
DepMap, the Cancer Dependency Map, holds genome-wide CRISPR and drug screens across more than 1,000 cancer cell lines with matched multi-omics, showing which genes each line cannot live without and therefore where synthetic-lethal targets may lie. Its releases include Chronos gene-effect scores, PRISM drug sensitivity data and CCLE omics, published quarterly by the Broad Institute under CC BY 4.0. On OnCo it is linked to the technologies CRISPR functional genomics and Synthetic lethality approaches and to the key paper Defining a Cancer Dependency Map. It is cited by the bottlenecks The undruggable drivers, Lab models that fail to predict what happens in patients, Too many combinations to test and Preclinical results do not reproduce, and by a dozen ideas on screening and model banks.
URL
Holds
Genome-wide CRISPR and drug screens across >1,000 cancer cell lines with multi-omics.
Licence
CC BY 4.0
Maintainer
Broad Institute
Dataset registry
Size: Genome-wide CRISPR and drug screens on more than 1,000 cell lines
Access: open
Consent and reuse: Cell lines only; CC BY 4.0.
All datasets and the models trained on them →Similar pages
- IdeaShared reference organoid and PDX panels that every lab can test against
Shares Every drug screen includes standard reference compounds whose performance is published, A public atlas of drug-pair responses across a thousand patient-derived organoids, Preclinical results do not reproduce, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico.
- CollectionCancer Models (PDCM Finder) & HCMI
Shares Make in vivo metastasis screens a required step in drug discovery, A public atlas of drug-pair responses across a thousand patient-derived organoids, An open model bank for the rare tumours nobody has models for, Preclinical results do not reproduce.
- IdeaSet aside 3% of grant budgets to replicate findings before translation
Shares A pre-competitive consortium to validate or kill academic targets before licensing, CRISPR functional genomics, Preclinical results do not reproduce, The valley of death between lab and product.
- CollectionCZ CELLxGENE / Human Cell Atlas
Shares An open foundation model of the cancer cell trained on perturbation data, Wellcome Sanger Institute, Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Cancer AI vocabulary (CanSim terms map).
- IdeaAn open model of every cancer cell state, built from perturbation atlases
Shares Broad Institute of MIT and Harvard, CRISPR functional genomics, Preclinical results do not reproduce, Lab models that fail to predict what happens in patients.
- IdeaAttack the backup copy when a tumour has lost the original gene
Shares Synthetic lethality approaches, Broad Institute of MIT and Harvard, CRISPR functional genomics, The undruggable drivers.
- IdeaA digital passport for every cell culture: identity, contamination status, passage number
Shares Every drug screen includes standard reference compounds whose performance is published, Preclinical results do not reproduce, Lab models that fail to predict what happens in patients.
- IdeaSelf-driving laboratories that run the cancer biology hypothesis loop autonomously
Shares CRISPR functional genomics, Preclinical results do not reproduce, Lab models that fail to predict what happens in patients, The valley of death between lab and product.
technologies
institutions
terms
roadmaps
ideas
A drug screen that only rewards killing sleeping cancer cellsA pre-competitive consortium to validate or kill academic targets before licensingA public atlas of drug-pair responses across a thousand patient-derived organoidsAn open engine that ranks every drug pair by predicted synergy before anyone runs a trialAn open foundation model of the cancer cell trained on perturbation dataAn open model bank for the rare tumours nobody has models forEvery drug screen includes standard reference compounds whose performance is publishedGroup trials by broken mechanism, not by organ or single mutationMake in vivo metastasis screens a required step in drug discovery
bottlenecks
key papers
Open-source projects
All open source in oncology →Open-source projects that are the code behind this collection or publish it, 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.
The code behind the Cancer Dependency Map portal, where CRISPR screens and drug sensitivities across cancer cell lines are explored openly.