ArticlePlant molecular biology2006
A microarray-based detection system for genetically modified (GM) food ingredients.
Article in Plant molecular biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Review of the technology used for structural characterization of the GMO genome using NGS data.Genomics & informatics · 2024Article
- Identifying transgene insertions inPeerJ · 2024Article
- Construction of transgenic detection system of3 Biotech · 2022Article
- Article
- Preliminary study on discrimination of transgenic cotton seeds using terahertz time-domain spectroscopy.Food science & nutrition · 2020Article
- A bioinformatics approach for identifying transgene insertion sites using whole genome sequencing data.BMC biotechnology · 2017Article
- Discrimination of transgenic soybean seeds by terahertz spectroscopy.Scientific reports · 2016Article
- Fluorescence-based bioassays for the detection and evaluation of food materials.Sensors (Basel, Switzerland) · 2015Review
- Discrimination of Transgenic Rice containing the Cry1Ab Protein using Terahertz Spectroscopy and Chemometrics.Scientific reports · 2015Article
- Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study.Journal of food science and technology · 2015Review
- Development and validation of a 48-target analytical method for high-throughput monitoring of genetically modified organisms.Scientific reports · 2015Article
- 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
- Development of a general method for detection and quantification of the P35S promoter based on assessment of existing methods.Scientific reports · 2014Article
- Establishment of quantitative analysis method for genetically modified maize using a reference plasmid and novel primers.Preventive nutrition and food science · 2012Article
- A theoretical introduction to "combinatory SYBRGreen qPCR screening", a matrix-based approach for the detection of materials derived from genetically modified plants.Analytical and bioanalytical chemistry · 2010Article
- Optimised padlock probe ligation and microarray detection of multiple (non-authorised) GMOs in a single reaction.BMC genomics · 2008Article
- NAIMA: target amplification strategy allowing quantitative on-chip detection of GMOs.Nucleic acids research · 2008Article
- Microarray-based method for detection of unknown genetic modifications.BMC biotechnology · 2007Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A multiplex DNA microarray chip was developed for simultaneous identification of nine genetically modified organisms (GMOs), five plant species and three GMO screening elements, i.e. the 35S promoter, the nos terminator and the nptII gene. The chips also include several controls, such as that for the possible presence of CaMV. The on-chip detection was performed directly with PCR amplified products. Particular emphasis was placed on the reduction of the number of PCR reactions required and on the number of primers present per amplification tube. The targets were biotin labelled and the arrays were detected using a colorimetric methodology. Specificity was provided by specific capture probes designed for each GMO and for the common screening elements. The sensitivity of the assay was tested by experiments carried out in five different laboratories. The limit of detection was lower than 0.3% GMO for all tests and in general around 0.1% for most GMOs. The chip detection system complies with the requirements of current EU regulations and other countries where thresholds are established for the labelling of GMO.
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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.