Evidence map›Paper›PMID 18828897›Full record

ArticleGenome biology2008

Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes.

Jos Boekhorst, Bas van Breukelen, Albert Heck, Berend Snel

Abstract readComparative Study
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Functional characterization of co-phosphorylation networks.Bioinformatics (Oxford, England) · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Protein kinases phosphorylate long disordered regions in intrinsically disordered proteins.Protein science : a publication of the Protein Society · 2020
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. The Journal of biological chemistry · 2017
    Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Jos BoekhorstBioinformatics, Department of Biology, Faculty of Science, Utrecht University, Padualaan, The Netherlands. J.Boekhorst@uu.nl
Bas van Breukelen
Albert Heck
Berend Snel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReversible phosphorylation of proteins is involved in a wide range of processes, ranging from signaling cascades to regulation of protein complex assembly. Little is known about the structure and evolution of phosphorylation networks. Recent high-throughput phosphoproteomics studies have resulted in the rapid accumulation of phosphopeptide datasets for many model organisms. Here, we exploit these novel data for the comparative analysis of phosphorylation events between different species of eukaryotes.

resultsComparison of phosphoproteomics datasets of six eukaryotes yields an overlap ranging from approximately 700 sites for human and mouse (two large datasets of closely related species) to a single site for fish and yeast (distantly related as well as two of the smallest datasets). Some conserved events appear surprisingly old; those shared by plant and animals suggest conservation over the time scale of a billion years. In spite of the hypothesized incomprehensive nature of phosphoproteomics datasets and differences in experimental procedures, we show that the overlap between phosphoproteomes is greater than expected by chance and indicates increased functional relevance. Despite the dynamic nature of the evolution of phosphorylation, the relative overlap between the different datasets is identical to the phylogeny of the species studied.

conclusionThis analysis provides a framework for the generation of biological insights by comparative analysis of high-throughput phosphoproteomics datasets. We expect the rapidly growing body of data from high-throughput mass spectrometry analysis to make comparative phosphoproteomics a powerful tool for elucidating the evolutionary and functional dynamics of reversible phosphorylation.

Indexed as

Evolution, MolecularAnimalsComputational BiologyDatabases, ProteinEukaryotaHumansMass SpectrometryMicePhosphopeptidesPhosphorylationProteinsProteomeProteomicsSignal TransductionPhosphopeptidesProteinsProteome

Identifiers

PMID18828897
PMCPMC2760871

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.