Evidence map›Paper›PMID 34705239›Full record

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

Means to Quantify Vascular Cell File Numbers in Different Tissues.

Helena E Arents, Gugan Eswaran, Matouš Glanc, Ari Pekka Mähönen, Bert De Rybel

Open access · greenAbstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Helena E ArentsDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Gugan EswaranDepartment of Biological and Environmental Sciences, Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
Matouš GlancDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Ari Pekka MähönenDepartment of Biological and Environmental Sciences, Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
Bert De RybelDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium. bert.derybel@psb.vib-ugent.be.
Ghent University · BEUniversity of Helsinki · FI

Funding

European Research Council 714055
6 · The paper itself

Abstract

Oriented cell divisions are crucial throughout plant development to define the final size and shape of organs and tissues. As most of the tissues in mature roots and stems are derived from vascular tissues, studying cell proliferation in the vascular cell lineage is of great importance. Although perturbations of vascular development are often visible already at the whole plant macroscopic phenotype level, a more detailed characterization of the vascular anatomy, cellular organization, and differentiation status of specific vascular cell types can provide insights into which pathway or developmental program is affected. In particular, defects in the frequency or orientation of cell divisions can be reliably identified from the number of vascular cell files. Here, we provide a detailed description of the different clearing, staining, and imaging techniques that allow precise phenotypic analysis of vascular tissues in different organs of the model plant Arabidopsis thaliana throughout development, including the quantification of cell file numbers, differentiation status of vascular cell types, and expression of reporter genes.

Indexed as

ArabidopsisArabidopsis ProteinsCell DifferentiationCell DivisionGene Expression Regulation, PlantPhloemPlant RootsXylemArabidopsis ProteinsArabidopsis thalianaCambiumCell divisionCell proliferationConfocal microscopyHistochemical stainingLight microscopyPhloemProcambiumVascular tissuesXylem

Identifiers

PMID34705239
PMCPMC7612323
OpenAlexW3191013470

What OpenQuestion holds

Textmetadata
LicenceTDM
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.