Evidence map›Paper›PMID 25053970›Full record

ArticlePlant methods2014

Rapid fluorescent reporter quantification by leaf disc analysis and its application in plant-virus studies.

Fabio Pasin, Satish Kulasekaran, Paolo Natale, Carmen Simón-Mateo, Juan Antonio García

Abstract read
In one paragraph

Article in Plant methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  6. Mining theFrontiers in plant science · 2023
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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.

Fabio PasinCentro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Madrid 28049, Spain.
Satish KulasekaranCentro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Madrid 28049, Spain.
Paolo NataleCentro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Madrid 28049, Spain.
Carmen Simón-MateoCentro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Madrid 28049, Spain.
Juan Antonio GarcíaCentro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Madrid 28049, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFluorescent proteins are extraordinary tools for biology studies due to their versatility; they are used extensively to improve comprehension of plant-microbe interactions. The viral infection process can easily be tracked and imaged in a plant with fluorescent protein-tagged viruses. In plants, fluorescent protein genes are among the most commonly used reporters in transient RNA silencing and heterologous protein expression assays. Fluorescence intensity is used to quantify fluorescent protein accumulation by image analysis or spectroscopy of protein extracts; however, these methods might not be suitable for medium- to large-scale comparisons.

resultsWe report that laser scanners, used routinely in proteomic studies, are suitable for quantitative imaging of plant leaves that express different fluorescent protein pairs. We developed a microtiter plate fluorescence spectroscopy method for direct quantitative comparison of fluorescent protein accumulation in intact leaf discs. We used this technique to measure a fluorescent reporter in a transient RNA silencing suppression assay, and also to monitor early amplification dynamics of a fluorescent protein-labeled potyvirus.

conclusionsLaser scanners allow dual-color fluorescence imaging of leaf samples, which might not be acquired in standard stereomicroscope devices. Fluorescence microtiter plate analysis of intact leaf discs can be used for rapid, accurate quantitative comparison of fluorescent protein accumulation.

Indexed as

Fluorescence spectroscopyFluorescent proteinMicrotiter platePlant virusRNA silencing

Identifiers

PMID25053970
PMCPMC4105834

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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.