Evidence map›Paper›PMID 38560381›Full record

ArticlePlant phenomics (Washington, D.C.)2024

PAT (Periderm Assessment Toolkit): A Quantitative and Large-Scale Screening Method for Periderm Measurements.

Gonzalo Villarino, Signe Dahlberg-Wright, Ling Zhang, Marianne Schaedel, Lin Wang, Karyssa Miller, Jack Bartlett, Albert Martin Dang Vu, Wolfgang Busch

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Gonzalo VillarinoPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID https://orcid.org/0000-0003-2832-6785
Signe Dahlberg-WrightPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Ling ZhangPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Marianne SchaedelPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Lin WangPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Karyssa MillerPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Jack BartlettPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Albert Martin Dang VuPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Wolfgang BuschPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID https://orcid.org/0000-0003-2042-7290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The periderm is a vital protective tissue found in the roots, stems, and woody elements of diverse plant species. It plays an important function in these plants by assuming the role of the epidermis as the outermost layer. Despite its critical role for protecting plants from environmental stresses and pathogens, research on root periderm development has been limited due to its late formation during root development, its presence only in mature root regions, and its impermeability. One of the most straightforward measurements for comparing periderm formation between different genotypes and treatments is periderm (phellem) length. We have developed PAT (Periderm Assessment Toolkit), a high-throughput user-friendly pipeline that integrates an efficient staining protocol, automated imaging, and a deep-learning-based image analysis approach to accurately detect and measure periderm length in the roots of

Identifiers

PMID38560381
PMCPMC10981931

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.