Evidence map›Paper›PMID 35349136›Full record

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

Measuring Plasmodesmata Density on Cell Interfaces of Monocot Leaves Using 3D Immunolocalization and Scanning Electron Microscopy.

Florence R Danila

Abstract read
PubMed Publisher
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
0.5field-weighted citation impact, top 40% 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, 1 citations in OpenAlex.

  1. Novel resources to investigate leaf plasmodesmata formation in CThe Plant journal : for cell and molecular biology · 2024
    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

1 author at 1 institution in 1 country.

Florence R DanilaResearch School of Biology, The Australian National University, Acton, ACT, Australia. florence.danila@anu.edu.au.
Australian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of plasmodesmata density on cell interfaces of plant tissues, particularly of leaves, has been a long-standing challenge. Using electron microscopy alone to quantify plasmodesmata is difficult because of the limited surface area coverage per image and hence the need to examine large numbers of sections for robust quantification. Fluorescence microscopy provides the larger surface area coverage per image but can only visualize pit fields and not individual plasmodesma. Moreover, in pigmented tissue like leaves, imaging cell interfaces beyond the epidermal layer would also require accurate sectioning. The advent of tissue clearing techniques such as PEA-CLARITY provided the opportunity to capture all pit fields within the leaf without resorting to sectioning. This paved the way toward the development of a more robust and precise plasmodesmata density quantification method by combining the three-dimensional immunolocalization fluorescence microscopy with scanning electron microscopy (SEM). Here, I describe a protocol to quantify plasmodesmata density on cell interfaces between mesophyll and bundle sheath in C

Indexed as

Plant LeavesPlasmodesmataMicroscopy, Electron, ScanningMicroscopy, FluorescencePlantsPhotosynthesisPit field areaPlasmodesmata densityScanning electron microscopyThree-dimensional fluorescence imaging

Identifiers

PMID35349136
OpenAlexW4225982652

What OpenQuestion holds

Textmetadata
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.