Evidence map›Paper›PMID 29167321›Full record

ArticleThe Plant cell2017

An Automated Confocal Micro-Extensometer Enables in Vivo Quantification of Mechanical Properties with Cellular Resolution.

Sarah Robinson, Michal Huflejt, Pierre Barbier de Reuille, Siobhan A Braybrook, Martine Schorderet, Didier Reinhardt, Cris Kuhlemeier

Abstract read
In one paragraph

Article in The Plant cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cell wall dynamics: novel tools and research questions.Journal of experimental botany · 2023
    Review
  10. Stiffness transitions in new walls post-cell division differ betweenProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Article
  13. How Cell Geometry and Cellular Patterning Influence Tissue Stiffness.International journal of molecular sciences · 2022
    Article
  14. THESEUS1 modulates cell wall stiffness and abscisic acid production inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. Future Challenges in Plant Systems Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  17. Review
  18. Article
  19. Leaf Morphogenesis: Insights From the MossFrontiers in plant science · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sarah RobinsonInstitute of Plant Sciences, University of Bern, Bern 3005, Switzerland.ORCID 0000-0001-7643-1059
Michal HuflejtInstitute of Plant Sciences, University of Bern, Bern 3005, Switzerland.
Pierre Barbier de ReuilleInstitute of Plant Sciences, University of Bern, Bern 3005, Switzerland.
Siobhan A BraybrookSainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.ORCID 0000-0002-4308-5580
Martine SchorderetDepartment of Biology, University of Fribourg, 1700 Fribourg, Switzerland.ORCID 0000-0002-6323-1979
Didier ReinhardtDepartment of Biology, University of Fribourg, 1700 Fribourg, Switzerland.
Cris KuhlemeierInstitute of Plant Sciences, University of Bern, Bern 3005, Switzerland cris.kuhlemeier@ips.unibe.ch.ORCID 0000-0003-2440-5937

Funding

EPIGALLOCATECHIN GALLATE AS A NEUROPROTECTANT IN A MODEL OF MULTIPLE SCLEROSISR21AT003396 · NCCIH · OREGON HEALTH & SCIENCE UNIVERSITY · PI MARRACCI, GAIL H · 2006 to 2007
$313k
Biotechnology and Biological Sciences Research Council BB.L002884.1NCCIH NIH HHS R21 AT003396
6 · The paper itself

Abstract

How complex developmental-genetic networks are translated into organs with specific 3D shapes remains an open question. This question is particularly challenging because the elaboration of specific shapes is in essence a question of mechanics. In plants, this means how the genetic circuitry affects the cell wall. The mechanical properties of the wall and their spatial variation are the key factors controlling morphogenesis in plants. However, these properties are difficult to measure and investigating their relation to genetic regulation is particularly challenging. To measure spatial variation of mechanical properties, one must determine the deformation of a tissue in response to a known force with cellular resolution. Here, we present an automated confocal micro-extensometer (ACME), which greatly expands the scope of existing methods for measuring mechanical properties. Unlike classical extensometers, ACME is mounted on a confocal microscope and uses confocal images to compute the deformation of the tissue directly from biological markers, thus providing 3D cellular scale information and improved accuracy. Additionally, ACME is suitable for measuring the mechanical responses in live tissue. As a proof of concept, we demonstrate that the plant hormone gibberellic acid induces a spatial gradient in mechanical properties along the length of the

Indexed as

ArabidopsisAutomationBiomechanical PhenomenaCell WallElasticityGibberellinsHypocotylLightMicroscopy, ConfocalModels, BiologicalPlant CellsStress, Physiologicalgibberellic acidGibberellins

Identifiers

PMID29167321
PMCPMC5757258

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.