Evidence map›Paper›PMID 26338952›Full record

ArticlePlant physiology2015

Posttranslational Protein Modifications in Plant Metabolism.

Giulia Friso, Klaas J van Wijk

Abstract read
In one paragraph

Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Review
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  3. Article
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  10. Research Progress on the Regulatory Mechanism of theCurrent issues in molecular biology · 2025
    Review
  11. Article
  12. Genome-Wide Investigation ofInternational journal of molecular sciences · 2025
    Article
  13. Review
  14. Metabolic plasticity and adaptive evolution inFrontiers in plant science · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

40 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

2 authors.

Giulia FrisoSchool for Integrative Plant Sciences, Section Plant Biology, Cornell University, Ithaca, New York 14853.
Klaas J van WijkSchool for Integrative Plant Sciences, Section Plant Biology, Cornell University, Ithaca, New York 14853 kv35@cornell.edu.ORCID http://orcid.org/0000-0001-9536-0487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttranslational modifications (PTMs) of proteins greatly expand proteome diversity, increase functionality, and allow for rapid responses, all at relatively low costs for the cell. PTMs play key roles in plants through their impact on signaling, gene expression, protein stability and interactions, and enzyme kinetics. Following a brief discussion of the experimental and bioinformatics challenges of PTM identification, localization, and quantification (occupancy), a concise overview is provided of the major PTMs and their (potential) functional consequences in plants, with emphasis on plant metabolism. Classic examples that illustrate the regulation of plant metabolic enzymes and pathways by PTMs and their cross talk are summarized. Recent large-scale proteomics studies mapped many PTMs to a wide range of metabolic functions. Unraveling of the PTM code, i.e. a predictive understanding of the (combinatorial) consequences of PTMs, is needed to convert this growing wealth of data into an understanding of plant metabolic regulation.

Indexed as

AcetylationAmino Acid SequenceGene Expression Regulation, PlantMethylationOxidation-ReductionPhosphorylationPlant ProteinsPlantsProtein CarbonylationProtein Processing, Post-TranslationalReactive Oxygen SpeciesSignal TransductionPlant ProteinsReactive Oxygen Species

Identifiers

PMID26338952
PMCPMC4634103

What OpenQuestion holds

Textmetadata
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.