Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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DNA microarray data from transgenic rice Huahui 1 (HH1) and its parent Minghui 63 (MH63)

ABSTRACT: DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. But the distribution of differentially expressed genes in GM crops remains unclear. So the results of microarray analysis might be invalid for assessment of unintended effects if differentially expressed genes are extremely distributed. We used microarrays to study the distribution pattern of differentially expressed genes in HH1 at different developmental stages and environmental conditions. Samples were collected from both HH1 and MH63 at different developmental stages and environmental conditions and were used for RNA extraction and hybridization on Affymetrix microarrays. We selected differentially expressed genes, common differentially expressed genes and common significantly changed pathways hoping to clarify the distributions of differentially expressed genes in HH1.

ORGANISM(S): Oryza sativa Indica Group

SUBMITTER: Zhi Liu 

PROVIDER: E-GEOD-33204 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Non-uniform distribution pattern for differentially expressed genes of transgenic rice Huahui 1 at different developmental stages and environments.

Liu Zhi Z   Zhao Jie J   Li Yunhe Y   Zhang Wenwei W   Jian Guiliang G   Peng Yufa Y   Qi Fangjun F  

PloS one 20120511 5

DNA microarray analysis is an effective method to detect unintended effects by detecting differentially expressed genes (DEG) in safety assessment of genetically modified (GM) crops. With the aim to reveal the distribution of DEG of GM crops under different conditions, we performed DNA microarray analysis using transgenic rice Huahui 1 (HH1) and its non-transgenic parent Minghui 63 (MH63) at different developmental stages and environmental conditions. Considerable DEG were selected in each group  ...[more]

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