Evidence map›Paper›PMID 40759855›Full record

ArticleMolecular biotechnology2026

Genetic Transformation of Catharanthus roseus with Simplified Nanocarrier-Based Gene Delivery Method Using Green Synthesized Superparamagnetic Iron Oxide Nanoparticles.

Sara Abedini, Shahram Pourseyedi, Jafar Zolala, Masoud Torkzadeh-Mahani, Roohollah Abdolshahi

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Article in Molecular biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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.

Sara AbediniDepartment of Agronomy and Plant Breeding, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.
Shahram PourseyediDepartment of Agricultural Biotechnology, Shahid Bahonar University of Kerman, Kerman, Iran. spseyedi@uk.ac.ir.ORCID http://orcid.org/0000-0002-3372-5572
Jafar ZolalaDepartment of Agricultural Biotechnology, Shahid Bahonar University of Kerman, Kerman, Iran.
Masoud Torkzadeh-MahaniDepartment of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
Roohollah AbdolshahiDepartment of Agronomy and Plant Breeding, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional methods of plant genetic engineering have achieved significant successes but are often limited by species specificity and the need for specialized equipment. Recent advancements in nanotechnology-based gene delivery, particularly the use of nanocarriers, offer promising alternatives with enhanced efficiency, improved biocompatibility, and protection of exogenous nucleic acids. We developed a novel gene delivery approach, Simplified Nanocarrier-based Genetic Transformation (SNGT), using green-synthesized superparamagnetic iron oxide nanoparticles (gSION) for efficient DNA transfer into Catharanthus roseus leaf cells. Unlike previous green-synthesized nanoparticles primarily applied in biomedical contexts, this study explores their application in plant genetic engineering for the first time. We successfully synthesized gSION using aqueous extracts of C. roseus leaves. Following synthesis and physicochemical characterization, gSION-based nanocarriers loaded with the mGFP5-ER-encoding plasmid were prepared. Using this nanocarrier system, C. roseus leaves were successfully transformed. This method demonstrated effective gene delivery and transient gene expression in plant tissue.

Indexed as

CatharanthusGene Transfer TechniquesMagnetic Iron Oxide NanoparticlesTransformation, GeneticGreen Chemistry TechnologyPlant ExtractsPlant LeavesPlants, Genetically ModifiedPlasmidsPlant ExtractsDNA nanocarrierGreen synthesis of nanoparticlesPlant transformationTransient gene expression

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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.