Intercropping is a vital technology in resource-limited agricultural systems with low inputs. Peanut/maize intercropping enhances iron (Fe) nutrition in calcareous soil. Proteomic studies of the differences in peanut leaves, maize leaves and maize roots between intercropping and monocropping systems indicated that peanut/maize intercropping not only improves Fe availability in the rhizosphere but also influences the levels of proteins related to carbon and nitrogen metabolism. Moreover, intercropping may enhance stress resistance in the peanut plant (Xiong et al. 2013b). Although the mechanism and molecular ecological significance of peanut/maize intercropping have been investigated, little is known about the genes and/or gene products in peanut and maize roots that mediate the benefits of intercropping. In the present study, we investigated the transcriptomes of maize roots grown in intercropping and monocropping systems by microarray analysis. The results enabled exploration differentially expressed genes in intercropped maize.
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Specimen part, Treatment
View SamplesThe study aimed to investigate genome-wide transcriptome changes in response to L-lactate in primary neuron cultures.
No associated publication
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Sex, Specimen part, Cell line, Treatment
View SamplesBACKGROUND: The use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining. RESULTS: A dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques. CONCLUSIONS: The study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results. [based on information contained in Final_HESI_Decoder_483_05_015_07.txt provided by CEBS database]
Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories
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Sex, Specimen part
View SamplesGroups of adult zebrafish (9 male and 9 female) were exposed for 7 days to 50 ng/L (168.7 pmol/L) of 17a-ethinylestradiol (EE2). Transcriptome response of EE2 in zebrafish liver were analysed.
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No sample metadata fields
View SamplesMouse lymphoma L5178Y cells are treated with Mitomycin C [CAS:50-07-7;CHEBI:27504] and harvested at 4 and 24 hours for analysis.
The Utility of DNA Microarrays for Characterizing Genotoxicity
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Sex, Disease, Disease stage, Compound, Time
View SamplesMouse lymphoma L5178Y cells are treated with Taxol (Paclitaxel) [CAS:33069-62-4;CHEBI:7887] and harvested at 4 and 24 hours for analysis.
Toxicogenomics in Risk Assessment: An Overview of an HESI Collaborative Research Program
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Sex, Disease, Disease stage, Compound, Time
View SamplesMouse lymphoma L5178Y and Human TK6 cells are treated with Methylmethane Sulfonate [CAS:66-27-3;CHEBI:25255] and harvested a 4 and 24 hours for analysis.
The Utility of DNA Microarrays for Characterizing Genotoxicity
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Sex, Disease, Disease stage, Compound, Time
View SamplesMouse lymphoma L5178Y cells are treated with Etoposide [CAS:33419-42-0;CHEBI:4911] and harvested a 4 and 24 hours for analysis.
Toxicogenomics in Risk Assessment: An Overview of an HESI Collaborative Research Program
None
Sex, Disease, Disease stage, Compound, Time
View SamplesMouse lymphoma L5178Y cells are treated with 4-NitroQuinoline N-Oxide (4-NQO) [CAS:56-57-5;CHEBI:16907] and harvested at 4 and 24 hours for analysis.
The Utility of DNA Microarrays for Characterizing Genotoxicity
None
Sex, Disease, Disease stage, Compound, Time
View SamplesDrugMatrix is a comprehensive rat toxicogenomics database and analysis tool developed to facilitate the integration of toxicogenomics into hazard assessment. Using the whole genome and a diverse set of compounds allows a comprehensive view of most pharmacological and toxicological questions and is applicable to other situations such as disease and development.
Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action.
Sex, Specimen part, Compound, Time
View Samples