Updated sources for certain cell lines. See the corrected dataset here.
New CRISPR (GeCKO) dataset with 10 additional rhabdoid lines.
Updated pipelines used for expression, mutation, and copy number. See more details here.
New fusion, translocation, and methylation data. Available on gene and cell line pages, and for bulk download as linked.
Added CTD2 dose-level data. See dose-response curves on compound sensitivity pages by clicking on a cell line.
Looking for cell line models! Donate your lines for free data.
Use this portal to:
UNDERSTAND Dependency profiles at genome-scale across more than 500 human cell lines
FIND Detailed genetic and pharmacologic characterization of over 1000 cell lines
IDENTIFY Genetic drivers that have functional importance as potential drug targets
SEARCH For cell line models that best represent your research interests
EXPORT Presentation-quality figures
The goal of the Cancer Dependency Map is to create a comprehensive preclinical reference map connecting tumor features with tumor dependencies to accelerate the development of precision treatments. Our strategy is to systematically characterize cellular models of cancers and to test those models for sensitivity to genetic and small-molecule perturbations. By integrating data beyond those collected at the Broad, DepMap hopes to develop a complete understanding of the vulnerabilities of cancer, identify targets for therapeutic development, and design strategies to optimize patient responses to those therapies.
To date DepMap has profiled more than 500 cell lines. Over the next several years we will greatly expand the diversity of cell lines profiled for genetic vulnerabilities with quarterly data release. Additionally, limited drug sensitivity data are available.
Call for Cell Line Models
Call for Cell Line Models
We wouldn’t be able to build DepMap without the help of the many collaborators and partners who have already shared their cell lines. If you are interested in identifying cancer vulnerabilities in your favorite cell lines, please consider sharing your valuable cell line models and allowing us to generate data which will be available to the entire community.