TY - JOUR
T1 - The functional landscape of the human phosphoproteome
AU - Ochoa, David
AU - Jarnuczak, Andrew F.
AU - Viéitez, Cristina
AU - Gehre, Maja
AU - Soucheray, Margaret
AU - Mateus, André
AU - Kleefeldt, Askar A.
AU - Hill, Anthony
AU - Garcia-Alonso, Luz
AU - Stein, Frank
AU - Krogan, Nevan J.
AU - Savitski, Mikhail M.
AU - Swaney, Danielle L.
AU - Vizcaíno, Juan A.
AU - Noh, Kyung Min
AU - Beltrao, Pedro
N1 - Publisher Copyright:
© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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 genetic susceptibilities at a genomic scale. Several regulatory phosphosites were experimentally validated, including identifying a role in neuronal differentiation for phosphosites in SMARCC2, a member of the SWI/SNF chromatin-remodeling complex.
AB - 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 genetic susceptibilities at a genomic scale. Several regulatory phosphosites were experimentally validated, including identifying a role in neuronal differentiation for phosphosites in SMARCC2, a member of the SWI/SNF chromatin-remodeling complex.
UR - https://www.scopus.com/pages/publications/85076412696
U2 - 10.1038/s41587-019-0344-3
DO - 10.1038/s41587-019-0344-3
M3 - Article
C2 - 31819260
AN - SCOPUS:85076412696
SN - 1087-0156
VL - 38
SP - 365
EP - 373
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 3
ER -