Authors
David Ochoa, Andrew F Jarnuczak, Cristina Viéitez, Maja Gehre, Margaret Soucheray, André Mateus, Askar A Kleefeldt, Anthony Hill, Luz Garcia-Alonso, Frank Stein, Nevan J Krogan, Mikhail M Savitski, Danielle L Swaney, Juan A Vizcaíno, Kyung-Min Noh, Pedro Beltrao
Publication date
2020/3
Journal
Nature biotechnology
Volume
38
Issue
3
Pages
365-373
Publisher
Nature Publishing Group US
Description
Protein phosphorylation is a key post-translational modification regulating protein function in almost all cellular processes. Although tens of thousands of phosphorylation sites have been identified in human cells, approaches to determine the functional importance of each phosphosite are lacking. Here, we manually curated 112 datasets of phospho-enriched proteins, generated from 104 different human cell types or tissues. We re-analyzed the 6,801 proteomics experiments that passed our quality control criteria, creating a reference phosphoproteome containing 119,809 human phosphosites. To prioritize functional sites, we used machine learning to identify 59 features indicative of proteomic, structural, regulatory or evolutionary relevance and integrate them into a single functional score. Our approach identifies regulatory phosphosites across different molecular mechanisms, processes and diseases, and reveals …
Total citations
201920202021202220232024627571038552
Scholar articles
D Ochoa, AF Jarnuczak, C Viéitez, M Gehre… - Nature biotechnology, 2020