Evidence map›Paper›PMID 28327990›Full record

SynthesisGigaScience2017

Estimating the total number of phosphoproteins and phosphorylation sites in eukaryotic proteomes.

Panayotis Vlastaridis, Pelagia Kyriakidou, Anargyros Chaliotis, Yves Van de Peer, Stephen G Oliver, Grigoris D Amoutzias

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
57.7field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 735 citations in OpenAlex.

  1. An AI-Ready Phosphorylation Meta-Analysis forJournal of proteome research · 2026
    Pooled it
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  3. Article
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  7. Genetic Encoding of Pentafluorophosphato-Phenylalanine Provides PFAngewandte Chemie (International ed. in English) · 2026
    Article
  8. Houge-Janssens syndrome.European journal of human genetics : EJHG · 2025
    Review
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5 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 4 countries.

Panayotis VlastaridisBioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece.
Pelagia KyriakidouBioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece.
Anargyros ChaliotisBioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece.
Yves Van de PeerDepartment of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, B-9052 Ghent, Belgium.
Stephen G OliverCambridge Systems Biology Centre & Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK.
Grigoris D AmoutziasBioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, Larisa, 41500, Greece.
University of Thessaly · GRUniversity of Cambridge · GBVIB-UGent Center for Plant Systems Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhosphorylation is the most frequent post-translational modification made to proteins and may regulate protein activity as either a molecular digital switch or a rheostat. Despite the cornucopia of high-throughput (HTP) phosphoproteomic data in the last decade, it remains unclear how many proteins are phosphorylated and how many phosphorylation sites (p-sites) can exist in total within a eukaryotic proteome. We present the first reliable estimates of the total number of phosphoproteins and p-sites for four eukaryotes (human, mouse, Arabidopsis, and yeast).

resultsIn all, 187 HTP phosphoproteomic datasets were filtered, compiled, and studied along with two low-throughput (LTP) compendia. Estimates of the number of phosphoproteins and p-sites were inferred by two methods: Capture-Recapture, and fitting the saturation curve of cumulative redundant vs. cumulative non-redundant phosphoproteins/p-sites. Estimates were also adjusted for different levels of noise within the individual datasets and other confounding factors. We estimate that in total, 13 000, 11 000, and 3000 phosphoproteins and 230 000, 156 000, and 40 000 p-sites exist in human, mouse, and yeast, respectively, whereas estimates for Arabidopsis were not as reliable.

conclusionsMost of the phosphoproteins have been discovered for human, mouse, and yeast, while the dataset for Arabidopsis is still far from complete. The datasets for p-sites are not as close to saturation as those for phosphoproteins. Integration of the LTP data suggests that current HTP phosphoproteomics appears to be capable of capturing 70 % to 95 % of total phosphoproteins, but only 40 % to 60 % of total p-sites.

Indexed as

ProteomeProteomicsAnimalsArabidopsisEukaryotic CellsHumansMicePhosphoproteinsPhosphorylationReproducibility of ResultsSaccharomyces cerevisiaePhosphoproteinsProteomeArabidopsisCapture-RecaptureCurve-FittinghumanmousePhosphoproteomicstotal number of phosphoproteinstotal number of phosphorylation sitesyeast

Identifiers

PMID28327990
PMCPMC5466708
OpenAlexW2605025138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.