The study aimed to investigate genome-wide transcriptome changes in response to L-lactate in primary neuron cultures.
No associated publication
Sex, Specimen part, Cell line, Treatment
View SamplesEffect of ethanol or nicotine exposure on gene expression compared to control. Duplicate arrays from ethanol or nicotine treated animals compared with triplicate arrays from paired control animals. In total 4 treatment arrays (2 ethanol, 2 nicotine) and 3 control arrays (from control animals treated in parallel with ethanol-treated fish and nicotine-treated fish.)
Gene expression changes in a zebrafish model of drug dependency suggest conservation of neuro-adaptation pathways.
Specimen part, Compound
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
Sex, Specimen part
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
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
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
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
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
Sex, Disease, Disease stage, Compound, Time
View SamplesUnderstanding host-pathogen interactions in tuberculosis is essential to d develop strategies and therapeutic tools to control Mycobacterium tuberculosis (Mtb). In this study, we performed the transcriptome analyses of macrophages infected with virulent Mtb strain H37Rv (Rv) or avirulent Mtb strain H37Ra (Ra).
No associated publication
Sex, Specimen part, Cell line
View SamplesWe present the RNA-seq datas of neuronal differentiation in mouse embryonic stem cell by all-trans retinoic acid.
No associated publication
Sex, Specimen part, Cell line, Treatment
View Samples