ArticleScientific reports2015
Development and validation of a 48-target analytical method for high-throughput monitoring of genetically modified organisms.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Progresses and Prospects on Glucosinolate Detection in Cruciferous Plants.Foods (Basel, Switzerland) · 2024Review
- A high-throughput and ultrasensitive identification methodology for unauthorized GMP component based on suspension array and logical calculator.Scientific reports · 2019Article
- Semiautomated TaqMan PCR screening of GMO labelled samples for (unauthorised) GMOs.Analytical and bioanalytical chemistry · 2017Article
- Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.Frontiers in plant science · 2017Review
- New multiplex PCR methods for rapid screening of genetically modified organisms in foods.Frontiers in microbiology · 2015Article
- Current and new approaches in GMO detection: challenges and solutions.BioMed research international · 2015Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid increase in the number of genetically modified (GM) varieties has led to a demand for high-throughput methods to detect genetically modified organisms (GMOs). We describe a new dynamic array-based high throughput method to simultaneously detect 48 targets in 48 samples on a Fludigm system. The test targets included species-specific genes, common screening elements, most of the Chinese-approved GM events, and several unapproved events. The 48 TaqMan assays successfully amplified products from both single-event samples and complex samples with a GMO DNA amount of 0.05 ng, and displayed high specificity. To improve the sensitivity of detection, a preamplification step for 48 pooled targets was added to enrich the amount of template before performing dynamic chip assays. This dynamic chip-based method allowed the synchronous high-throughput detection of multiple targets in multiple samples. Thus, it represents an efficient, qualitative method for GMO multi-detection.
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