Literature DB >> 24357010

A high-throughput method for GMO multi-detection using a microfluidic dynamic array.

Fábio Cristiano Angonesi Brod1, Jeroen P van Dijk, Marleen M Voorhuijzen, Andréia Zilio Dinon, Luis Henrique S Guimarães, Ingrid M J Scholtens, Ana Carolina Maisonnave Arisi, Esther J Kok.   

Abstract

The ever-increasing production of genetically modified crops generates a demand for high-throughput DNA-based methods for the enforcement of genetically modified organisms (GMO) labelling requirements. The application of standard real-time PCR will become increasingly costly with the growth of the number of GMOs that is potentially present in an individual sample. The present work presents the results of an innovative approach in genetically modified crops analysis by DNA based methods, which is the use of a microfluidic dynamic array as a high throughput multi-detection system. In order to evaluate the system, six test samples with an increasing degree of complexity were prepared, preamplified and subsequently analysed in the Fluidigm system. Twenty-eight assays targeting different DNA elements, GM events and species-specific reference genes were used in the experiment. The large majority of the assays tested presented expected results. The power of low level detection was assessed and elements present at concentrations as low as 0.06 % were successfully detected. The approach proposed in this work presents the Fluidigm system as a suitable and promising platform for GMO multi-detection.

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Year:  2013        PMID: 24357010     DOI: 10.1007/s00216-013-7562-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  4 in total

1.  Development and validation of a 48-target analytical method for high-throughput monitoring of genetically modified organisms.

Authors:  Xiaofei Li; Yuhua Wu; Jun Li; Yunjing Li; Likun Long; Feiwu Li; Gang Wu
Journal:  Sci Rep       Date:  2015-01-05       Impact factor: 4.379

Review 2.  Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.

Authors:  Ibrahim B Salisu; Ahmad A Shahid; Amina Yaqoob; Qurban Ali; Kamran S Bajwa; Abdul Q Rao; Tayyab Husnain
Journal:  Front Plant Sci       Date:  2017-10-16       Impact factor: 5.753

3.  Semiautomated TaqMan PCR screening of GMO labelled samples for (unauthorised) GMOs.

Authors:  Ingrid M J Scholtens; Bonnie Molenaar; Richard A van Hoof; Stephanie Zaaijer; Theo W Prins; Esther J Kok
Journal:  Anal Bioanal Chem       Date:  2017-04-17       Impact factor: 4.142

Review 4.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

  4 in total

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