Profiling the Human Phosphoproteome to Estimate the True Extent of Protein Phosphorylation.

ABSTRACT: Public phosphorylation databases such as PhosphoSitePlus (PSP) and PeptideAtlas (PA) compile results from published papers or openly available mass spectrometry (MS) data. However, there is no database-level control for false discovery of sites, likely leading to the overestimation of true phosphosites. By profiling the human phosphoproteome, we estimate the false discovery rate (FDR) of phosphosites and predict a more realistic count of true identifications. We rank sites into phosphorylation likelihood sets and analyze them in terms of conservation across 100 species, sequence properties, and functional annotations. We demonstrate significant differences between the sets and develop a method for independent phosphosite FDR estimation. Remarkably, we report estimated FDRs of 84, 98, and 8

SUBMITTER: Kalyuzhnyy A 

PROVIDER: S-EPMC9171898 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature