Evidence map›Paper›PMID 25101120›Full record

ReviewFrontiers in genetics2014

Turnover of protein phosphorylation evolving under stabilizing selection.

Christian R Landry, Luca Freschi, Taraneh Zarin, Alan M Moses

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Most m5C Modifications in Mammalian mRNAs are Nonadaptive.Molecular biology and evolution · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. The evolutionary scaling of cellular traits imposed by the drift barrier.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. A Theoretical Framework for Evolutionary Cell Biology.Journal of molecular biology · 2020
    Review
  18. Article
  19. Multiple Site-Specific Phosphorylation of IDPs Monitored by NMR.Methods in molecular biology (Clifton, N.J.) · 2020
    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 at 3 institutions in 1 country.

Christian R LandryDépartement de Biologie, Université Laval Québec, QC, Canada ; Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval Québec, QC, Canada ; Network for Research on Protein Function, Structure, and Engineering (PROTEO), Univeristé Laval Québec, QC, Canada.
Luca FreschiDépartement de Biologie, Université Laval Québec, QC, Canada ; Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval Québec, QC, Canada ; Network for Research on Protein Function, Structure, and Engineering (PROTEO), Univeristé Laval Québec, QC, Canada.
Taraneh ZarinDepartment of Cell and Systems Biology, University of Toronto Toronto, ON, Canada.
Alan M MosesDepartment of Cell and Systems Biology, University of Toronto Toronto, ON, Canada ; Department of Ecology and Evolutionary Biology, University of Toronto Toronto, ON, Canada ; Center for Analysis of Genome Evolution and Function, University of Toronto Toronto, ON, Canada.
PROTEO · CAGenome Canada · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most proteins are regulated by posttranslational modifications and changes in these modifications contribute to evolutionary changes as well as to human diseases. Phosphorylation of serines, threonines, and tyrosines are the most common modifications identified to date in eukaryotic proteomes. While the mode of action and the function of most phosphorylation sites remain unknown, functional studies have shown that phosphorylation affects protein stability, localization and ability to interact. Two broad modes of action have been described for protein phosphorylation. The first mode corresponds to the canonical and qualitative view whereby single phosphorylation sites act as molecular switches that either turn on or off specific protein functions through direct or allosteric effects. The second mode is more akin to a rheostat than a switch. In this case, a group of phosphorylation sites in a given protein region contributes collectively to the modification of the protein, irrespective of the precise position of individual sites, through an aggregate property. Here we discuss these two types of regulation and examine how they affect the rate and patterns of protein phosphorylation evolution. We describe how the evolution of clusters of phosphorylation sites can be studied under the framework of complex traits evolution and stabilizing selection.

Indexed as

cell signalingevolutionary turnovermolecular evolutionmolecular rheostatsmolecular switchesprotein evolutionprotein phosphorylation

Identifiers

PMID25101120
PMCPMC4107968
OpenAlexW2130190973

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.