CPTAC measures the proteins, not just the genes, of thousands of tumours.
CPTAC, the Clinical Proteomic Tumor Analysis Consortium, holds proteogenomic data, mass spectrometry proteomics and phosphoproteomics, on tumours linked to TCGA, measuring the proteins rather than just the genes of thousands of tumours. This reveals pathway activity and ADC target abundance that DNA and RNA profiling miss. The consortium is run by the NCI and the data are open. On OnCo it is tied to the technology Proteomics and phosphoproteomics, cited by the bottleneck Data silos and the idea Link single-cell and spatial tumour atlases to clinical outcomes, and referenced by the journal record Cancer Cell and the Drug discovery roadmap.
Shares Deep mass-spectrometry proteome (CPTAC), Proteomics & phosphoproteomics, Cancer AI vocabulary (CanSim terms map).
Shares Deep mass-spectrometry proteome (CPTAC), mRNA to protein concordance, Proteomics & phosphoproteomics, Cancer AI vocabulary (CanSim terms map).
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map).
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map).
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map).
Shares Link single-cell and spatial tumour atlases to clinical outcomes, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, Data silos, Cancer AI vocabulary (CanSim terms map).
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map).
Shares mRNA to protein concordance, Cancer AI vocabulary (CanSim terms map).
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.
A Python package that streams CPTAC proteogenomic cancer datasets into pandas.