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Dissecting the functional importance of eukaryotic protein phosphorylation

Total Cost €


EC-Contrib. €






 PhosFunc project word cloud

Explore the words cloud of the PhosFunc project. It provides you a very rough idea of what is the project "PhosFunc" about.

function    ascomycota    thousands    post    mutations    phosphorylation    phosphoproteomic    extant    species    classifier    groupings    abundant    phospho    protein    predictors    fitness    functional    disrupt    genomes    lastly    isolates    predicted    mutants    translational    natural    mass    cell    history    libraries    pleiotropy    age    improvements    interactions    proteome    trained    environmental    ptms    library    conditional    train    functionally    genetic    ptm    gene    biological    created    evolution    dissecting    diverge    modifications    shown    spectrometry    cerevisiae    grouped    cells    phosphorylatable    stress    sites    fungal    evolutionary    proteins    phosphosites    signaling    reconstruct    subset    relevance    initial    systematic    reveal    mechanisms    knock    yeast    sense    mutagenesis    unveiling    regulation    populations    intricate    datasets    routinely    18    events    world    modulates    diverse    fraction    instrumental    manner    point    cues   

Project "PhosFunc" data sheet

The following table provides information about the project.


Organization address
address: Meyerhofstrasse 1
postcode: 69117

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙451˙421 €
 EC max contribution 1˙451˙421 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-04-01   to  2020-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Cells have evolved intricate systems to sense environmental changes and an initial response to such cues is often driven by post-translational modifications (PTMs) of proteins. Protein phosphorylation is an abundant PTM that modulates protein function via diverse mechanisms. Improvements in mass-spectrometry are unveiling a complex world of PTM regulation with thousands of phosphosites routinely identified per study. We and others have recently shown that phosphosites can diverge quickly during evolution and that a significant fraction may have no biological role in extant species. Identifying functionally relevant phosphosites is therefore a major challenge in cell-signaling. In the past, gene knock-out libraries and genetic methods have been instrumental in dissecting gene-function in a systematic manner. Here, we aim to develop genetic approaches to study the functional relevance of phosphorylation in S. cerevisiae. Phosphoproteomic datasets for 18 ascomycota fungal species will be used to reconstruct the evolutionary history of phosphorylation events in these species. S. cerevisiae sites will then be grouped according to age and predicted function (e.g. regulation of interactions, activities, etc) and a subset will be selected for mutagenesis. A library of non-phosphorylatable point mutants will be created and used to measure fitness under different stress conditions. These will reveal the functional importance, pleiotropy and relevant pathways of the selected phosphosites. The age, functional groupings and the genetic information will allow us to train predictors of the conditional fitness of phosphosites at proteome-wide level. Lastly, we will study the importance of evolutionary changes in phospho-regulation in natural populations of yeast. Mutations that likely disrupt phosphosites will be identified from the genomes of natural isolates and the consequences of these mutations will be predicted based on the trained classifier.


year authors and title journal last update
List of publications.
2016 David Ochoa, Mindaugas Jonikas, Robert T Lawrence, Bachir El Debs, Joel Selkrig, Athanasios Typas, Judit Villén, Silvia DM Santos, Pedro Beltrao
An atlas of human kinase regulation
published pages: 888, ISSN: 1744-4292, DOI: 10.15252/msb.20167295
Molecular Systems Biology 12/12 2020-04-22
2016 Omar Wagih, Naoyuki Sugiyama, Yasushi Ishihama, Pedro Beltrao
Uncovering Phosphorylation-Based Specificities through Functional Interaction Networks
published pages: 236-245, ISSN: 1535-9476, DOI: 10.1074/mcp.M115.052357
Molecular & Cellular Proteomics 15/1 2020-04-22
2019 Marta J. Strumillo, Michaela Oplová, Cristina Viéitez, David Ochoa, Mohammed Shahraz, Bede P. Busby, Richelle Sopko, Romain A. Studer, Norbert Perrimon, Vikram G. Panse, Pedro Beltrao
Conserved phosphorylation hotspots in eukaryotic protein domain families
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-09952-x
Nature Communications 10/1 2020-04-22
2015 Marta Strumillo, Pedro Beltrao
Towards the computational design of protein post-translational regulation
published pages: 2877-2882, ISSN: 0968-0896, DOI: 10.1016/j.bmc.2015.04.056
Bioorganic & Medicinal Chemistry 23/12 2020-04-22
2016 R. A. Studer, R. A. Rodriguez-Mias, K. M. Haas, J. I. Hsu, C. Vieitez, C. Sole, D. L. Swaney, L. B. Stanford, I. Liachko, R. Bottcher, M. J. Dunham, E. de Nadal, F. Posas, P. Beltrao, J. Villen
Evolution of protein phosphorylation across 18 fungal species
published pages: 229-232, ISSN: 0036-8075, DOI: 10.1126/science.aaf2144
Science 354/6309 2020-04-22

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