dc.contributor.author |
Van Dijk, JP
|
|
dc.contributor.author |
Leifert, C
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|
dc.contributor.author |
Barros, E
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|
dc.contributor.author |
Kok, EJ
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|
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
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|
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 -
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en_ZA |