Evidence map›Paper›PMID 39919021›Full record

ArticlePlant biotechnology journal2025

A split ribozyme system for in vivo plant RNA imaging and genetic engineering.

Yang Liu, Ruchika Rajput, Md Torikul Islam, Ilenne Del Valle, Tao Yao, Rekha Agrawal, Brandon A Boone, Carrie A Eckert, Paul E Abraham, Jin-Gui Chen and 2 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

12 authors.

Yang LiuBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID https://orcid.org/0000-0001-6045-4969
Ruchika RajputBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Md Torikul IslamBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Ilenne Del ValleBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Tao YaoBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID https://orcid.org/0000-0002-9382-0731
Rekha AgrawalBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Brandon A BooneBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Carrie A EckertBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Paul E AbrahamBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Jin-Gui ChenBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID https://orcid.org/0000-0002-1752-4201
Gerald A TuskanBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Xiaohan YangBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.

Funding

U.S. Department of EnergyU.S. Department of Energy, Office of Science, Biological and Environmental Research Program ERKP886
6 · The paper itself

Abstract

RNA plays a central role in plants, governing various cellular and physiological processes. Monitoring its dynamic abundance provides a discerning understanding of molecular mechanisms underlying plant responses to internal (developmental) and external (environmental) stimuli, paving the way for advances in plant biotechnology to engineer crops with improved resilience, quality and productivity. In general, traditional methods for analysis of RNA abundance in plants require destructive, labour-intensive and time-consuming assays. To overcome these limitations, we developed a transformative innovation for in vivo RNA imaging in plants. Specifically, we established a synthetic split ribozyme system that converts various RNA signals to orthogonal protein outputs, enabling in vivo visualisation of various RNA signals in plants. We demonstrated the utility of this system in transient expression experiments (i.e., leaf infiltration in Nicotiana benthamiana) to detect RNAs derived from transgenes and tobacco rattle virus, respectively. Also, we successfully engineered a split ribozyme-based biosensor in Arabidopsis thaliana for in vivo visualisation of endogenous gene expression at the cellular level, demonstrating the feasibility of multi-scale (e.g., cellular and tissue level) RNA imaging in plants. Furthermore, we developed a platform for easy incorporation of different protein outputs, allowing for flexible choice of reporters to optimise the detection of target RNAs.

Indexed as

Genetic EngineeringRNA, CatalyticRNA, PlantArabidopsisBiosensing TechniquesNicotianaPlant LeavesPlants, Genetically ModifiedRNA, CatalyticRNA, Plantgenetic engineeringplantsribozymeRNA imagingsynthetic biology

Identifiers

PMID39919021
PMCPMC12018833

What OpenQuestion holds

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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.