Evidence map›Paper›PMID 21075961›Full record

ArticlePlant physiology2011

Mechanical properties of plant cell walls probed by relaxation spectra.

Steen Laugesen Hansen, Peter Martin Ray, Anders Ola Karlsson, Bodil Jørgensen, Bernhard Borkhardt, Bent Larsen Petersen, Peter Ulvskov

Erratum issuedAbstract read
In one paragraph

Article in Plant physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The nonlinear mechanics of highly extensible plant epidermal cell walls.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Assessment ofJournal of nematology · 2017
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors.

Steen Laugesen HansenDepartment of Basic Sciences and Environment, Faculty of Life Sciences, University of Copenhagen, 1871 Frederiksberg C, Denmark.
Peter Martin Ray
Anders Ola Karlsson
Bodil Jørgensen
Bernhard Borkhardt
Bent Larsen Petersen
Peter Ulvskov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transformants and mutants with altered cell wall composition are expected to display a biomechanical phenotype due to the structural role of the cell wall. It is often quite difficult, however, to distinguish the mechanical behavior of a mutant's or transformant's cell walls from that of the wild type. This may be due to the plant's ability to compensate for the wall modification or because the biophysical method that is often employed, determination of simple elastic modulus and breakstrength, lacks the resolving power necessary for detecting subtle mechanical phenotypes. Here, we apply a method, determination of relaxation spectra, which probes, and can separate, the viscoelastic properties of different cell wall components (i.e. those properties that depend on the elastic behavior of load-bearing wall polymers combined with viscous interactions between them). A computer program, BayesRelax, that deduces relaxation spectra from appropriate rheological measurements is presented and made accessible through a Web interface. BayesRelax models the cell wall as a continuum of relaxing elements, and the ability of the method to resolve small differences in cell wall mechanical properties is demonstrated using tuber tissue from wild-type and transgenic potatoes (Solanum tuberosum) that differ in rhamnogalacturonan I side chain structure.

Indexed as

Bayes TheoremBiomechanical PhenomenaCell WallElasticityMagnetic Resonance SpectroscopyModels, BiologicalPlant TubersRheologySolanum tuberosumStress, Mechanical

Identifiers

PMID21075961
PMCPMC3075772

What OpenQuestion holds

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Registered trials

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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.