Differential gene expression of cerebral cortex might be responsible for distinct neurovascular developments between different mouse strains
A novel genetic locus modulates infarct volume independently of the extent of collateral circulation.
Sex, Specimen part
View SamplesThe goal of this experiment was to define gene expression patterns of two mouse retinal neuron subsets that express the Thy1-mitoCFP-P (MP) transgene.
Neurod6 expression defines new retinal amacrine cell subtypes and regulates their fate.
Specimen part
View SamplesDomesticated animal populations often show profound reductions in predator avoidance and fear-related behavior compared to wild populations. These reductions are remarkably consistent and have been observed in a diverse array of taxa including fish, birds, and mammals. Experiments conducted in common environments indicate that these behavioral differences have a genetic basis. In this study, we quantified differences in fear-related behavior between wild and domesticated zebrafish strains and used microarray analysis to identify genes that may be associated with this variation.
Brain transcriptome variation among behaviorally distinct strains of zebrafish (Danio rerio).
Sex, Specimen part
View SamplesWe determined whole genome expression changes in 2 migratory cell lines that were derived from a parent HCC cell line.
A novel KLF6-Rho GTPase axis regulates hepatocellular carcinoma cell migration and dissemination.
Specimen part, Cell line
View SamplesTBR1 is a forebrain specific T-box transcription factor. Tbr1-/- mice have been characterized by defective axonal projections from cerebral cortex and abnormal neuronal migration of cerebral cortex and amygdala.
Tbr1 haploinsufficiency impairs amygdalar axonal projections and results in cognitive abnormality.
No sample metadata fields
View SamplesCigarette smoke (CS) is one of risk factor to chronic obstructive pulmonary disease that is the major causes of death in the world. Furthermore, CS is an independent risk factor for chronic kidney disease (CKD) in the general adult population. The goal of this project was to identified the mechanisms of renal damage that might be associated with exposure to CS extract (CSE) in human kidney proximal tubular epithelial cell line (HK-2 cells) cells. Overall design: RNA sequencing of human kidney proximal tubular epithelial cell line (HK-2 cells) after 24 hours exposure to 0.6% CSE.
Cigarette Smoke Exposure Increases Glucose-6-phosphate Dehydrogenase, Autophagy, Fibrosis, and Senescence in Kidney Cells In Vitro and In Vivo.
Specimen part, Treatment, Subject
View Samples-catenin signaling is required for hair follicle development, but it is unknown whether it is sufficient to activate expression of hair follicle genes in embryonic skin. To address this we profiled gene expression in dermis from E15.5 KRT14-Cre Ctnnb1(Ex3)fl/+ embryos carrying an activating mutation in epithelial beta-catenin, and control littermate embryos.
Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.
No sample metadata fields
View Samples-catenin signaling is required for hair follicle development, but it is unknown whether it is sufficient to activate expression of hair follicle genes in embryonic skin. To address this we profiled gene expression in epidermis from E15.5 KRT14-Cre Ctnnb1(Ex3)fl/+ embryos carrying an activating mutation in epithelial beta-catenin, and control littermate embryos.
Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.
No sample metadata fields
View Samples-catenin signaling is required for hair follicle development, but it is unknown whether it is sufficient to activate expression of hair follicle genes in embryonic skin. To address this we profiled gene expression in skin dissected from E14.5 KRT14-Cre Ctnnb1(Ex3)fl/+ embryos carrying an activating mutation in epithelial beta-catenin, and control littermate embryos.
Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.
No sample metadata fields
View SamplesThe process for evaluating chemical safety is inefficient, costly, and animal intensive. There is growing consensus that the current process of safety testing needs to be significantly altered to improve efficiency and reduce the number of untested chemicals. In this study, the use of short-term gene expression profiles was evaluated for predicting the increased incidence of mouse lung tumors. Animals were exposed to a total of 26 diverse chemicals with matched vehicle controls over a period of three years. Upon completion, significant batch-related effects were observed. Adjustment for batch effects significantly improved the ability to predict increased lung tumor incidence. For the best statistical model, the estimated predictive accuracy under honest five-fold cross-validation was 79.3% with a sensitivity and specificity of 71.4 and 86.3%, respectively. A learning curve analysis demonstrated that gains in model performance reached a plateau at 25 chemicals, indicating that the size of the current data set was sufficient to provide a robust classifier. The classification results showed a small subset of chemicals contributed disproportionately to the misclassification rate. For these chemicals, the misclassification was more closely associated with genotoxicity status than efficacy in the original bioassay. Statistical models were also used to predict dose-response increases in tumor incidence for methylene chloride and naphthalene. The average posterior probabilities for the top models matched the results from the bioassay for methylene chloride. For naphthalene, the average posterior probabilities for the top models over-predicted the tumor response, but the variability in predictions were significantly higher. The study provides both a set of gene expression biomarkers for predicting chemically-induced mouse lung tumors as well as a broad assessment of important experimental and analysis criteria for developing microarray-based predictors of safety-related endpoints.
Use of short-term transcriptional profiles to assess the long-term cancer-related safety of environmental and industrial chemicals.
Sex, Age, Specimen part, Disease, Subject
View Samples