Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize
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PROVIDER: PRJNA298337 | ENA |
REPOSITORIES: ENA
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Project description:There is an ongoing debate on the potential toxicity of genetically modified food. The ability of rodent feeding trials to assess the potential toxicity of these products is highly debated since a 2-year study in rats fed NK603 Roundup-tolerant genetically modified maize, treated or not with Roundup during the cultivation, resulted in anatomorphological and blood/urine biochemical changes indicative of liver and kidney structure and functional pathology. We used microarrays to detail the alterations in gene expression profiles associated with the consumption of a Roundup-tolerant genetically modified maize (NK603) sprayed or unsprayed with a Roundup herbicide from these same animals.
2016-10-01 | GSE73886 | GEO
Project description:There is an ongoing debate on the potential toxicity of genetically modified food. The ability of rodent feeding trials to assess the potential toxicity of these products is highly debated since a 2-year study in rats fed NK603 Roundup-tolerant genetically modified maize, treated or not with Roundup during the cultivation, resulted in anatomorphological and blood/urine biochemical changes indicative of liver and kidney structure and functional pathology. We used microarrays to detail the alterations in gene expression profiles associated with the consumption of a Roundup-tolerant genetically modified maize (NK603) sprayed or unsprayed with a Roundup herbicide from these same animals.
2016-10-01 | GSE73884 | GEO
Project description:Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize [liver]
| PRJNA298341 | ENA
Project description:Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize [kidney]
| PRJNA298342 | ENA
Project description:BACKGROUND:A previous 2-year rat feeding trial assessing potential toxicity of NK603 Roundup-tolerant genetically modified maize revealed blood and urine biochemical changes indicative of liver and kidney pathology. In an effort to obtain deeper insight into these findings, molecular profiling of the liver and kidneys from the same animals was undertaken. RESULTS:Transcriptomics showed no segregation of NK603 maize and control feed groups with false discovery rates ranging from 43 to 83% at a cut-off p value of 1%. Changes in gene expression were not reflective of liver and kidney toxic effects. Metabolomics identified 692 and 673 metabolites in kidney and liver, respectively. None of the statistically significant disturbances detected (12-56 for different test groups) survived a false discovery rate analysis. Differences in these metabolites between individual animals within a group were greater than the effect of test diets, which prevents a definitive conclusion on either pathology or safety. CONCLUSIONS:Even if the biological relevance of the statistical differences presented in this study is unclear, our results are made available for scrutiny by the scientific community and for comparison in future studies investigating potential toxicological properties of the NK603 corn.
| S-EPMC5306156 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2016-10-01 | GSE73888 | GEO
Project description:Glyphosate tolerant genetically modified (GM) maize NK603 was assessed as substantially equivalent to its isogenic counterpart by a nutrient composition analysis in order to be granted market approval. We have applied contemporary in depth molecular profiling methods of NK603 maize kernels (sprayed or unsprayed with Roundup) and the isogenic corn to reassess its substantial equivalence status. Proteome profiles of the maize kernels revealed alterations in the levels of enzymes of glycolysis and TCA cycle pathways, which were reflective of an imbalance in energy metabolism. Changes in proteins and metabolites of glutathione metabolism were indicative of increased oxidative stress. The most pronounced metabolome differences between NK603 and its isogenic counterpart consisted of an increase in polyamines including N-acetyl-cadaverine (2.9-fold), N-acetylputrescine (1.8-fold), putrescine (2.7-fold) and cadaverine (28-fold), which depending on context can be either protective or a cause of toxicity. Our molecular profiling results show that NK603 and its isogenic control are not substantially equivalent.
2018-10-15 | MSV000083034 | MassIVE
Project description:In this study we used non-targeted molecular profiling to provide insight into the extent of variation in the maize transcriptome, proteome and metabolome by analyzing replicas of two genetically modified and one isogenic maize genotype. Three white maize lines, the transgenic commercial Bt hybrid line DKC78-15 Bt (event MON810 from Monsanto), the transgenic commercial Roundup Ready (RR) line DKC78-35R (event NK603 from Monsanto) and its respective control line CRN 3505 (conventional from Monsanto) were grown in three consecutive years, and in two or three different locations in South Africa.
2010-05-16 | E-GEOD-15853 | biostudies-arrayexpress
Project description:According to the Canadian Food Inspection Agency and Health Canada, genetically modified crops are considered safe if they are substantially equivalent to a conventional crop in regards to agronomic, physiological and compositional characteristics. A recurring issue in safety assessment of genetically modified crops is the paucity of analytical methods to detect unintended or unexpected outcomes of genetic modification. Traditional targeted compound comparative analyses are limited in scope and capacity to detect unintended changes in chemical composition. This study explored the potential of using microarray technology to assess the substantial equivalence of gene expression profiles between genetically modified and conventional soybean cultivars. Different pre processing methods were applied to the raw expression data from the arrays, and clustering methods were used to try and differentiate the genetically modified cultivars from the conventional cultivars. Results showed that more variation existed between different strains of conventional cultivars than between conventional and genetically modified cultivars. For more information, please see: Cheng, K.C., Beaulieu, J., Iquira, E., Belzile, F.J., Fortin, M.G. and Strömvik, M.V. (2008). âEffect of transgenes on global gene expression in soybean is within the natural range of variation of their conventional counterparts.â Journal of Agricultural and Food Chemistry (in press) Experiment Overall Design: Five samples (biological replicates) of total RNA from each of the five different soybean varieties were selected for hybridization to Affymetrix Soybean GeneChips, for a total of 25 chips (following total RNA integrity assessment). Spike controls B2, bio-B, bio-C, bio-D and Cre-x were added to each hybridization cocktail. Arrays were washed and stained in an Affymetrix Fluidics Station prior to scanning on the Affymetrix GeneChip Scanner 3000. Image acquisition and processing was done with the Affymetrix Microarray Analysis Suite 5.0.
2008-06-16 | E-GEOD-9374 | biostudies-arrayexpress
Project description:According to the Canadian Food Inspection Agency and Health Canada, genetically modified crops are considered safe if they are substantially equivalent to a conventional crop in regards to agronomic, physiological and compositional characteristics. A recurring issue in safety assessment of genetically modified crops is the paucity of analytical methods to detect unintended or unexpected outcomes of genetic modification. Traditional targeted compound comparative analyses are limited in scope and capacity to detect unintended changes in chemical composition. This study explored the potential of using microarray technology to assess the substantial equivalence of gene expression profiles between genetically modified and conventional soybean cultivars. Different pre processing methods were applied to the raw expression data from the arrays, and clustering methods were used to try and differentiate the genetically modified cultivars from the conventional cultivars. Results showed that more variation existed between different strains of conventional cultivars than between conventional and genetically modified cultivars. For more information, please see: Cheng, K.C., Beaulieu, J., Iquira, E., Belzile, F.J., Fortin, M.G. and Strömvik, M.V. (2008). Effect of transgenes on global gene expression in soybean is within the natural range of variation of their conventional counterparts. Journal of Agricultural and Food Chemistry. Keywords: Expression comparison between genetically modified cultivars
2008-04-15 | GSE9374 | GEO