Evidence map›Paper›PMID 21364682›Full record

ArticleNature reviews. Molecular cell biology2011

Computational morphodynamics of plants: integrating development over space and time.

Adrienne H K Roeder, Paul T Tarr, Cory Tobin, Xiaolan Zhang, Vijay Chickarmane, Alexandre Cunha, Elliot M Meyerowitz

Abstract read
In one paragraph

Article in Nature reviews. Molecular cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. SEMAPL bioengineering · 2023
    Article
  5. Article
  6. Modelling the evolution of novelty: a review.Essays in biochemistry · 2022
    Article
  7. Article
  8. Review
  9. Quantitative plant biology · 2021
    Article
  10. Review
  11. Article
  12. Growth dynamics of theProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Mechanical constraints imposed by 3D cellular geometry and arrangement modulate growth patterns in the Arabidopsis embryo.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Adrienne H K RoederDivision of Biology 156-29, California Institute of Technology, 1200 E. California Blvd, Pasadena, California 91125, USA. aroeder@caltech.edu
Paul T Tarr
Cory Tobin
Xiaolan Zhang
Vijay Chickarmane
Alexandre Cunha
Elliot M Meyerowitz

Funding

Role of the CLAVATA1 Receptor Kinase in Plant Stem Cell RegulationR01GM086639 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MEYEROWITZ, ELLIOT M · 2008 to 2011
$1.3M
NIGMS NIH HHS F32GM090543NIGMS NIH HHS R01 GM086639
6 · The paper itself

Abstract

The emerging field of computational morphodynamics aims to understand the changes that occur in space and time during development by combining three technical strategies: live imaging to observe development as it happens; image processing and analysis to extract quantitative information; and computational modelling to express and test time-dependent hypotheses. The strength of the field comes from the iterative and combined use of these techniques, which has provided important insights into plant development.

Indexed as

Plant DevelopmentArabidopsisArabidopsis ProteinsFlowersHomeodomain ProteinsImage Processing, Computer-AssistedImaging, Three-DimensionalKineticsLuminescent ProteinsMeristemMicroscopy, ConfocalPlantsRecombinant Fusion ProteinsTime FactorsArabidopsis ProteinsAT2G27250 protein, ArabidopsisHomeodomain ProteinsLuminescent ProteinsRecombinant Fusion ProteinsWUSCHEL protein, Arabidopsis

Identifiers

PMID21364682
PMCPMC4128830

What OpenQuestion holds

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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.