Evidence map›Paper›PMID 39800051›Full record

ArticleMolecules and cells2025

Optimization of FRET imaging in Arabidopsis protoplasts.

Gyuho Choi, Yerim Cha, Tae-Jin Kim, Gah-Hyun Lim

Abstract read
In one paragraph

Article in Molecules and cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

4 authors.

Gyuho ChoiDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea.
Yerim ChaDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea.
Tae-Jin KimDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea. Electronic address: tjkim77@pusan.ac.kr.
Gah-Hyun LimDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea. Electronic address: ghlim16@pusan.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in fluorescence-based biosensor technologies have enabled more precise and accurate Förster resonance energy transfer (FRET) imaging within Agrobacterium-mediated plant transformation systems. However, the application of FRET imaging in plant tissues remains hindered by significant challenges, particularly the time-intensive process of generating transgenic lines and the complications arising from tissue autofluorescence. In contrast, protoplast-based FRET imaging offers a rapid and efficient platform for functional screening and analysis, making it an essential tool for plant research. Nevertheless, conventional protoplast-based FRET approaches are often limited by background interference, inconsistent imaging conditions, and difficulties in quantitative analysis. Here, we present a systematic optimization of imaging conditions using the calcium biosensor D3cpv, addressing these limitations to improve both precision and efficiency in protoplast-based FRET imaging. This work serves as a practical guide for streamlining FRET imaging workflows and maximizing the utility of biosensors in plant cell studies.

Indexed as

ArabidopsisFluorescence Resonance Energy TransferProtoplastsBiosensing TechniquesCalciumPlants, Genetically ModifiedCalciumCalcium biosensor D3cpvFörster resonance energy transferFörster resonance energy transfer biosensorImage post processingProtoplast fluorescence imaging

Identifiers

PMID39800051
PMCPMC11879690

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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.