The Human Disease Blood Atlas provides a resource to explore the protein levels and the proteome signature in blood in patients with different diseases. Plasma profiles of 1463 proteins from more than 1,400 cancer patients representing 12 major cancer types were measured in minute amounts of blood plasma collected at the time of diagnosis and before treatment. The protein levels are presented based on analysis with proximity extension assay (Olink Explore) and targeted proteomics (mass spectrometry). Proteins associated with each of the analyzed cancer types based on differential expression analysis as well as a machine-learning based disease prediction strategy are highlighted. The combination of the results from all cancer types are then used to create a panel of proteins suitable for the identification of individual cancer types based on a drop of blood.

Key publications

- Wik L et al., Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis. Mol Cell Proteomics. (2021)
PubMed: 34715355 DOI: 10.1016/j.mcpro.2021.100168

- Zeiler M et al., A Protein Epitope Signature Tag (PrEST) library allows SILAC-based absolute quantification and multiplexed determination of protein copy numbers in cell lines. Mol Cell Proteomics. (2012)
PubMed: 21964433 DOI: 10.1074/mcp.O111.009613