ReviewThe New phytologist2013
Exploiting plant virus-derived components to achieve in planta expression and for templates for synthetic biology applications.
Review in The New phytologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Viral vectors for antimicrobial peptide expression: a new path for crop protection.Frontiers in microbiology · 2026Review
- Engineering and Bio/Nanotechnological Applications of Virus Particles.Sub-cellular biochemistry · 2024Review
- Mechanical fatigue testing in silico: Dynamic evolution of material properties of nanoscale biological particles.Acta biomaterialia · 2023Article
- Quantitative and Predictive Genetic Parts for Plant Synthetic Biology.Frontiers in plant science · 2020Review
- A guide to the contained use of plant virus infectious clones.Plant biotechnology journal · 2018Review
- Display of whole proteins on inner and outer surfaces of grapevine fanleaf virus-like particles.Plant biotechnology journal · 2016Article
- Stable expression of silencing-suppressor protein enhances the performance and longevity of an engineered metabolic pathway.Plant biotechnology journal · 2016Article
- Transient expressions of synthetic biology in plants.Current opinion in plant biology · 2014Article
- Suppress to Survive-Implication of Plant Viruses in PTGS.Plant molecular biology reporterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This review discusses the varying roles that have been played by many plant-viral regulatory sequences and proteins in the creation of plant-based expression systems and virus particles for use in nanotechnology. Essentially, there are two ways of expressing an exogenous protein: the creation of transgenic plants possessing a stably integrated gene construction, or the transient expression of the desired gene following the infiltration of the gene construct. Both depend on disarmed strains of Agrobacterium tumefaciens to deliver the created gene construction into cell nuclei, usually through the deployment of virus-derived components. The importance of efficient mRNA translation in the latter process is highlighted. Plant viruses replicate to sustain an infection to promote their survival. The major product of this, the virus particle, is finding increasing roles in the emerging field of bionanotechnology. One of the major products of plant-viral expression is the virus-like particle (VLP). These are increasingly playing a role in vaccine development. Similarly, many VLPs are suitable for the investigation of the many facets of the emerging field of synthetic biology, which encompasses the design and construction of new biological functions and systems not found in nature. Genetic and chemical modifications to plant-generated VLPs serve as ideal starter templates for many downstream synthetic biology applications.
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What OpenQuestion holds
Registered trials
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.