The highlights of the Protein Turnover Atlas

Here we demonstrate the richness of the Protein Turnover Atlas in numbers. The repository covers protein turnover data on a high fraction of the human proteome in a wide range of cell models. Factors that have been shown to influence protein turnover, such as tissue type, gender and disease, are broadly represented in the cell line panel.

Complementarily, we show an overview of the number of proteins with available half-life data for each cell line, focusing on all human cell lines with pSILAC-TMT data. The darker the shade of the bar, the better the estimate. On average, approximately 70% of proteins quantified in a cell model have turnover rate estimates classified as very good and reliable. In addition, the respective half-life distributions are also depicted.

  • Half-lives of 14977 proteins based on gene name (human only)

  • Almost 22861 protein half-lives isoform-resolved

  • 48 cell models from 16 tissue origins included & continuously expanding

  • On average 7132 protein IDs per cell line

  • Covering several cancer-related mutations, e.g., KRAS G12C, G12D and many more

  • Comprehensive reports providing overviews per protein of interest or cell line

  • Transparent quality control and classification of protein half-lives with 398313 class 1 curve fits (human only)

  • Plus 5 reprocessed external datasets complementing turnover profiles (Zecha et al., Mol Cell Proteomics 2018 & Mathieson et al., Nat Commun 2018)