Evidence map›Paper›PMID 42230399›Full record

ArticlePlant molecular biology2026

A synthetic expression system for orthogonal gene expression in Nicotiana benthamiana.

Dominik Mojzita, Anssi Rantasalo, Markus Laurel, Hannu Hotti, Kirsi-Marja Oksman-Caldentey, Heiko Rischer

Abstract read
In one paragraph

Article in Plant molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 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

6 authors.

Dominik MojzitaVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland. dominik.mojzita@vtt.fi.
Anssi RantasaloVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland.
Markus LaurelVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland.
Hannu HottiVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland.
Kirsi-Marja Oksman-CaldenteyVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland.
Heiko RischerVTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044, Espoo, Finland. heiko.rischer@vtt.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants represent commercially relevant production systems for recombinant proteins and chemical compounds. Effective genetic engineering depends on precise control of heterologous gene expression, which remains challenging due to complex transcriptional and post-transcriptional regulation, endogenous gene silencing mechanisms, and notably because of limited number of tools for allowing robust, fine-tuned control of expression levels across different systems/organisms. Some of the most common issues associated with plant expression systems are addressed with our plant-optimized version of a previously developed fungal universal synthetic expression system (SES). Plant SES demonstrates several favorable characteristics for robust heterologous gene expression, including highly constitutive function with apparently reduced sensitivity to endogenous silencing in transient assays, without requiring p19 co‑expression under the tested conditions. These together provide simple, predictable tuning of gene expression levels, and the potential for very high expression levels of the target genes. In all these features, SES shows higher and more stable transcript levels than Cauliflower Mosaic Virus (CaMV) 35 S promoter-based constructs in our experimental setups. The functionality of plant SES was tested by expressing mCherry and three commercially relevant proteins: fungal glucose oxidase (GOX), protein A and human vascular endothelial growth factor 165 (VEGF16) from diverse organisms, supporting high-level accumulation of recombinant proteins. In addition, plant SES retains full functionality in both plant and fungal hosts, which makes this expression system a useful tool for a multitude of genetic engineering applications in other eukaryotic organisms.

Indexed as

Gene ExpressionGene Expression Regulation, PlantNicotianaCaulimovirusGenetic EngineeringHumansPlants, Genetically ModifiedPromoter Regions, GeneticRecombinant ProteinsRecombinant ProteinsCore promoterPlant biotechnologyRecombinant protein productionSynthetic biologySynthetic expression systemTransient expression

Identifiers

PMID42230399
PMCPMC13230335

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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.