Evidence map›Paper›PMID 38830985›Full record

ArticleScientific reports2024

RoPod, a customizable toolkit for non-invasive root imaging, reveals cell type-specific dynamics of plant autophagy.

Marjorie Guichard, Sanjana Holla, Daša Wernerová, Guido Grossmann, Elena A Minina

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Marjorie GuichardCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 230, 69120, Heidelberg, Germany. marjorie.guichard@hhu.de.ORCID 0000-0003-4417-3504
Sanjana HollaDepartment of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, P.O. Box 7015, SE-750 07, Uppsala, Sweden.
Daša WernerováInstitute of Cell and Interaction Biology, Heinrich-Heine-University Düsseldorf, 40225, Düsseldorf, Germany.
Guido GrossmannCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 230, 69120, Heidelberg, Germany.ORCID 0000-0001-7529-9244
Elena A MininaCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 230, 69120, Heidelberg, Germany. alena.minina@slu.se.ORCID 0000-0002-2619-1859

Funding

Carl Tryggers Stiftelse för Vetenskaplig Forskning (Carl Trygger Foundation) 20:287Deutsche Forschungsgemeinschaft (German Research Foundation) GR 4559/4-1Deutsche Forschungsgemeinschaft (German Research Foundation) GR 4559/5-1EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 799433Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2021-01812
6 · The paper itself

Abstract

Arabidopsis root is a classic model system in plant cell and molecular biology. The sensitivity of plant roots to local environmental perturbation challenges data reproducibility and incentivizes further optimization of imaging and phenotyping tools. Here we present RoPod, an easy-to-use toolkit for low-stress live time-lapse imaging of Arabidopsis roots. RoPod comprises a dedicated protocol for plant cultivation and a customizable 3D-printed vessel with integrated microscopy-grade glass that serves simultaneously as a growth and imaging chamber. RoPod reduces impact of sample handling, preserves live samples for prolonged imaging sessions, and facilitates application of treatments during image acquisition. We describe a protocol for RoPods fabrication and provide illustrative application pipelines for monitoring root hair growth and autophagic activity. Furthermore, we showcase how the use of RoPods advanced our understanding of plant autophagy, a major catabolic pathway and a key player in plant fitness. Specifically, we obtained fine time resolution for autophagy response to commonly used chemical modulators of the pathway and revealed previously overlooked cell type-specific changes in the autophagy response. These results will aid a deeper understanding of the physiological role of autophagy and provide valuable guidelines for choosing sampling time during end-point assays currently employed in plant autophagy research.

Indexed as

ArabidopsisAutophagyPlant RootsTime-Lapse ImagingArabidopsisDrug treatment during image acquisitionMicroscopy chambersMinimal-stress conditions for fluorescence microscopyPlant autophagy dynamicsPlant cell biologyRoot hairsRoot microscopyTime-lapse imaging

Identifiers

PMID38830985
PMCPMC11148066

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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.