Evidence map›Paper›PMID 34663920›Full record

ArticleNature biotechnology2022

High-throughput functional characterization of protein phosphorylation sites in yeast.

Cristina Viéitez, Bede P Busby, David Ochoa, André Mateus, Danish Memon, Marco Galardini, Umut Yildiz, Matteo Trovato, Areeb Jawed, Alexander G Geiger and 12 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. An AI-Ready Phosphorylation Meta-Analysis forJournal of proteome research · 2026
    Pooled it
  2. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
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  10. The functional landscape of the human ubiquitinome.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Cristina Viéitez *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-6802-3845
Bede P Busby *European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-3410-9998
David OchoaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-1857-278X
André MateusEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6870-0677
Danish MemonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Marco GalardiniEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Umut YildizEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7175-362X
Matteo TrovatoEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-0406-387X
Areeb JawedEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-2620-965X
Alexander G GeigerInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1372-1929
Michaela Oborská-OplováInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-0976-4341
Clement M PotelEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Sibylle C VoneschEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-2485-1048
Chelsea Szu TuEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Mohammed ShahrazEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Frank SteinEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9695-1692
Lars M SteinmetzEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Vikram G PanseInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.
Kyung-Min NohEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Mikhail M SavitskiEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. mikhail.savitski@embl.de.ORCID http://orcid.org/0000-0003-2011-9247
Athanasios TypasEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. typas@embl.de.ORCID http://orcid.org/0000-0002-0797-9018
Pedro BeltraoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. pbeltrao@ebi.ac.uk.ORCID http://orcid.org/0000-0002-2724-7703

Funding

European Research Council 742804
6 · The paper itself

Abstract

Phosphorylation is a critical post-translational modification involved in the regulation of almost all cellular processes. However, fewer than 5% of thousands of recently discovered phosphosites have been functionally annotated. In this study, we devised a chemical genetic approach to study the functional relevance of phosphosites in Saccharomyces cerevisiae. We generated 474 yeast strains with mutations in specific phosphosites that were screened for fitness in 102 conditions, along with a gene deletion library. Of these phosphosites, 42% exhibited growth phenotypes, suggesting that these are more likely functional. We inferred their function based on the similarity of their growth profiles with that of gene deletions and validated a subset by thermal proteome profiling and lipidomics. A high fraction exhibited phenotypes not seen in the corresponding gene deletion, suggestive of a gain-of-function effect. For phosphosites conserved in humans, the severity of the yeast phenotypes is indicative of their human functional relevance. This high-throughput approach allows for functionally characterizing individual phosphosites at scale.

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsPhosphorylationProtein Processing, Post-TranslationalSaccharomyces cerevisiae Proteins

Identifiers

PMID34663920
PMCPMC7612524

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.