Chronic opiate use produces molecular and cellular adaptations in the nervous system, leading to tolerance, physical dependence and addiction. Genome-wide comparison of morphine-induced changes in brain transcription of mouse strains with different opioid-related phenotypes provides an opportunity to discover the relationship between gene expression and behavioral response to the drug.
Morphine effects on striatal transcriptome in mice.
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View SamplesIn summary, we characterized genomic signatures of response to drugs of abuse and we found positive correlations between the drug-induced expression and various behavioral effects. These signatures are formed by two dynamically inducible transcriptional networks: (1) CREB/SRF-dependent gene pattern that appears to be related to drug-induced neuronal activity, (2) the pattern of genes controlled at least in part via release of glucocorticoids and androgens that are associated with rewarding and harmful drug effects. The discovery of co-expressed networks of genes allowed for the identification of master-switch controlling factors involved in molecular response to the drugs. Finally, using the pharmacological tools we were able to dissect and inhibit particular gene expression patterns from genomic profile.
The dissection of transcriptional modules regulated by various drugs of abuse in the mouse striatum.
Compound, Time
View SamplesTissues from the eye primordia, lateral endoderm, and posterior
Generation of functional eyes from pluripotent cells.
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View SamplesXenopus laevis embryos were injected with mRNA for EFTFs at 2-cell stage. Animal caps collected at stage 9, cultured to the equivalent of stage 15 and RNA extracted. Four biological replicates of the EFTF-injected and GFP-injected (control) caps were used to profile transcript expression patterns using Affymetrix Xenopus Laevis GeneChip microarrays.
Generation of functional eyes from pluripotent cells.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.
Sex, Specimen part
View SamplesThe World Health Organization has subclassified adenocarcinoma based upon predominant cell morphology and growth pattern such as bronchioloalveolar carcinoma (BAC), adenocarcinoma with mixed subtypes (AC-mixed), and homogenously invasive tumors with a variety of histological patterns
Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.
Sex, Specimen part
View SamplesRecent data suggests that repression of the Type II TGF-B Receptor (Tgfr2) repression in human lung adenocarcinoma is important for progression from noninvasive to invasive adenocarcinoma. To test this hypothesis in a animal model of non-invasive lung cancer, we generated an inducible, lung specific Tgfbr2 knockout model in the oncogenic Kras mouse.
Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.
Specimen part
View SamplesRecent data suggests that repression of the Type II TGF-B Receptor (Tgfr2) repression in human lung adenocarcinoma is important for progression from noninvasive to invasive adenocarcinoma. To test this hypothesis in a animal model of non-invasive lung cancer, we generated an inducible, lung specific Tgfbr2 knockout model in the oncogenic Kras mouse.
Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.
Specimen part
View SamplesMetabolic cofactors such as NADH and ATP play important roles in a large number of cellular reactions and it is of great interest to dissect the role of these cofactors in different aspects of metabolism. Towards this goal, we overexpressed NADH oxidase and the soluble F1-ATPase in Escherichia coli to lower the level of NADH and ATP, respectively. We used a systems biology approach to study the response to these perturbations by measuring global transcription profiles, metabolic fluxes and the metabolite levels. We integrated information from the different measurements using network-based methods to identify high-scoring networks in a global interaction map that included protein interactions, transcriptional regulation and metabolism. The results revealed that the action of many global transcription factors such as ArcA, Fnr, CRP and IHF commonly involved both NADH and ATP while others were influential only in one of the pertubations. In general, overexpressing NADH oxidase invokes response in widespread aspects of metabolism involving the redox cofactors (NADH and NADPH) while ATPase has a more focused response to restore ATP level by enhancing proton translocation mechanisms and repressing biosynthesis. Interestingly, NADPH played a key role in restoring redox homeostasis through the concerted activity of isocitrate dehydrogenase and UdhA transhydrogenase. We present a reconciled network of regulation that illustrates the overlapping and distinct aspects of metabolism controlled by NADH and ATP. Our study contributes to the general understanding of redox and energy metabolism and should help in developing metabolic engineering strategies in E. coli.
Metabolic and transcriptional response to cofactor perturbations in Escherichia coli.
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View SamplesHuman naive T cells from peripheral blood were cultured in 24 wells coated with anti-CD3 and anti-CD28 antibodies in the presence or absence of retinoid acid, IL-12, and 1,25 (OH)2 vitamin D3. The T cells were FACS-sorted based on expression of CD3, integrin alpha4beta7, cutaneous lymphocyte antigen (CLA) and chemokine receptor 10. This serie includes microarray data from stimulated T cells under indicated conditions.
DCs metabolize sunlight-induced vitamin D3 to 'program' T cell attraction to the epidermal chemokine CCL27.
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