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Gene expression profiling for food safety assessment: examples in potato and maize

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dc.contributor.author Van Dijk, JP
dc.contributor.author Leifert, C
dc.contributor.author Barros, E
dc.contributor.author Kok, EJ
dc.date.accessioned 2011-05-06T09:28:21Z
dc.date.available 2011-05-06T09:28:21Z
dc.date.issued 2010-01
dc.identifier.citation Van Dijk, JP, Leifert, C, Barros, E et al. 2010. Gene expression profiling for food safety assessment: examples in potato and maize. Regulatory Toxicology and Pharmacology, Vol. 58(3), pp S21-S25 en_US
dc.identifier.issn 0273-2300
dc.identifier.uri http://www.ncbi.nlm.nih.gov/pubmed/20600454
dc.identifier.uri http://hdl.handle.net/10204/4994
dc.description Copyright: 2010 Elsevier. This is a post print version of the work. The definitive version is published in the Regulatory Toxicology and Pharmacology, Vol.58(3), pp S21-S25 en_US
dc.description.abstract Since the mid 1990s, microarray analysis has become one of the few tools that can analyze the entire contents of a cell regarding a specific information type. Especially since the development of whole genome microarrays the technique can be considered truly holistic. Most DNA based microarrays are used for the analysis of the total of messenger RNAs (transcriptome) and provide a snap-shot of what’s going on in a cell population at the time of sampling. Within the last few years also full genome plant microarrays have become available for several crop species. With these it has been shown that several growing conditions can be separated based on their transcriptome pattern, such as location, year of harvest and agricultural input system, but also different cultivars of the same crop species, including genetically modified ones. A database comprising expression levels of the transcriptome in many different circumstances with a history of safe use would be a good comparator for evaluation of new agricultural practices or cultivars, genetically modified or otherwise obtained. New techniques as next generation sequencing may overcome issues on throughput time and cost, standard operation procedures and array design for individual crops. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;4932
dc.subject Transcriptomics en_US
dc.subject Microarrays en_US
dc.subject Genetically modified food en_US
dc.subject GMO en_US
dc.subject Food safety assessment en_US
dc.subject Food en_US
dc.subject DNA en_US
dc.subject mRNA en_US
dc.subject Gene expression en_US
dc.subject Potatoes en_US
dc.subject Maize en_US
dc.subject Pharmacology en_US
dc.subject Toxicology en_US
dc.title Gene expression profiling for food safety assessment: examples in potato and maize en_US
dc.type Article en_US
dc.identifier.apacitation Van Dijk, J., Leifert, C., Barros, E., & Kok, E. (2010). Gene expression profiling for food safety assessment: examples in potato and maize. http://hdl.handle.net/10204/4994 en_ZA
dc.identifier.chicagocitation Van Dijk, JP, C Leifert, E Barros, and EJ Kok "Gene expression profiling for food safety assessment: examples in potato and maize." (2010) http://hdl.handle.net/10204/4994 en_ZA
dc.identifier.vancouvercitation Van Dijk J, Leifert C, Barros E, Kok E. Gene expression profiling for food safety assessment: examples in potato and maize. 2010; http://hdl.handle.net/10204/4994. en_ZA
dc.identifier.ris TY - Article AU - Van Dijk, JP AU - Leifert, C AU - Barros, E AU - Kok, EJ AB - Since the mid 1990s, microarray analysis has become one of the few tools that can analyze the entire contents of a cell regarding a specific information type. Especially since the development of whole genome microarrays the technique can be considered truly holistic. Most DNA based microarrays are used for the analysis of the total of messenger RNAs (transcriptome) and provide a snap-shot of what’s going on in a cell population at the time of sampling. Within the last few years also full genome plant microarrays have become available for several crop species. With these it has been shown that several growing conditions can be separated based on their transcriptome pattern, such as location, year of harvest and agricultural input system, but also different cultivars of the same crop species, including genetically modified ones. A database comprising expression levels of the transcriptome in many different circumstances with a history of safe use would be a good comparator for evaluation of new agricultural practices or cultivars, genetically modified or otherwise obtained. New techniques as next generation sequencing may overcome issues on throughput time and cost, standard operation procedures and array design for individual crops. DA - 2010-01 DB - ResearchSpace DP - CSIR KW - Transcriptomics KW - Microarrays KW - Genetically modified food KW - GMO KW - Food safety assessment KW - Food KW - DNA KW - mRNA KW - Gene expression KW - Potatoes KW - Maize KW - Pharmacology KW - Toxicology LK - https://researchspace.csir.co.za PY - 2010 SM - 0273-2300 T1 - Gene expression profiling for food safety assessment: examples in potato and maize TI - Gene expression profiling for food safety assessment: examples in potato and maize UR - http://hdl.handle.net/10204/4994 ER - en_ZA


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