Evidence map›Paper›PMID 34822154›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Modeling Plant Tissue Development Using VirtualLeaf.

Claudiu-Cristi Antonovici, Guacimo Y Peerdeman, Harold B Wolff, Roeland M H Merks

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Claudiu-Cristi AntonoviciMathematical Institute, Leiden University, Leiden, The Netherlands.ORCID 0000-0001-6396-6476
Guacimo Y PeerdemanMathematical Institute, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-2083-2384
Harold B WolffDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, VUmc, Amsterdam, The Netherlands.ORCID 0000-0003-3417-6955
Roeland M H MerksMathematical Institute, Leiden University, Leiden, The Netherlands. merksrmh@math.leidenuniv.nl.ORCID 0000-0002-6152-687X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-based computational modeling and simulation are becoming invaluable tools in analyzing plant development. In a cell-based simulation model, the inputs are behaviors and dynamics of individual cells and the rules describing responses to signals from adjacent cells. The outputs are the growing tissues, shapes, and cell-differentiation patterns that emerge from the local, chemical, and biomechanical cell-cell interactions. In this updated and extended version of our previous chapter on VirtualLeaf (Merks and Guravage, Methods in Molecular Biology 959, 333-352), we present a step-by-step, practical tutorial for building cell-based simulations of plant development and for analyzing the influence of parameters on simulation outcomes by systematically changing the values of the parameters and analyzing each outcome. We show how to build a model of a growing tissue, a reaction-diffusion system on a growing domain, and an auxin transport model. Moreover, in addition to the previous publication, we demonstrate how to run a Turing system on a regular, rectangular lattice, and how to run parameter sweeps. The aim of VirtualLeaf is to make computational modeling more accessible to experimental plant biologists with relatively little computational background.

Indexed as

Models, BiologicalPlant DevelopmentPlantsComputer SimulationDiffusionAuxinBiomechanicsCell-based modelingCell divisionCell growthComputational modelingMathematical modelingOrgan growthPlant developmentReaction–diffusionSystems biology

Identifiers

PMID34822154

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.