Evidence map›Paper›PMID 28135269›Full record

ArticlePLoS computational biology2017

An Asymmetrically Balanced Organization of Kinases versus Phosphatases across Eukaryotes Determines Their Distinct Impacts.

Ilan Smoly, Netta Shemesh, Michal Ziv-Ukelson, Anat Ben-Zvi, Esti Yeger-Lotem

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Phosphoproteomic dysregulation promotes tumor proliferation in Cushing's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Ribosomal Protein S6: A Potential Therapeutic Target against Cancer?International journal of molecular sciences · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Phospho-Regulation of Meiotic Prophase.Frontiers in cell and developmental biology · 2021
    Review
  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

5 authors at 1 institution in 1 country.

Ilan SmolyDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID 0000-0002-5270-0266
Netta ShemeshNational Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Michal Ziv-UkelsonDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Anat Ben-ZviNational Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Esti Yeger-LotemNational Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID 0000-0002-8279-7898
Ben-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation underlies cellular response pathways across eukaryotes and is governed by the opposing actions of phosphorylating kinases and de-phosphorylating phosphatases. While kinases and phosphatases have been extensively studied, their organization and the mechanisms by which they balance each other are not well understood. To address these questions we performed quantitative analyses of large-scale 'omics' datasets from yeast, fly, plant, mouse and human. We uncovered an asymmetric balance of a previously-hidden scale: Each organism contained many different kinase genes, and these were balanced by a small set of highly abundant phosphatase proteins. Kinases were much more responsive to perturbations at the gene and protein levels. In addition, kinases had diverse scales of phenotypic impact when manipulated. Phosphatases, in contrast, were stable, highly robust and flatly organized, with rather uniform impact downstream. We validated aspects of this organization experimentally in nematode, and supported additional aspects by theoretic analysis of the dynamics of protein phosphorylation. Our analyses explain the empirical bias in the protein phosphorylation field toward characterization and therapeutic targeting of kinases at the expense of phosphatases. We show quantitatively and broadly that this is not only a historical bias, but stems from wide-ranging differences in their organization and impact. The asymmetric balance between these opposing regulators of protein phosphorylation is also common to opposing regulators of two other post-translational modification systems, suggesting its fundamental value.

Indexed as

Evolution, MolecularAnimalsArabidopsisDrosophila melanogasterEnzyme ActivationGene Expression Regulation, EnzymologicGenetic VariationMicePhosphoric Monoester HydrolasesPhosphorylationPhosphotransferasesSaccharomyces cerevisiaeSpecies SpecificityYeastsPhosphoric Monoester HydrolasesPhosphotransferases

Identifiers

PMID28135269
PMCPMC5279721
OpenAlexW2582364930

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.