Project description:To identify the molecular mechanisms that may initiate therapeutic effects, whole-genome expression profiling (Illumina Mouse WG-6 microarrays) of drug-induced alterations in the mouse brain was undertaken, with a focus on the time-course (1, 2, 4 and 8h) of gene expression changes produced by eighteen major psychotropic drugs: antidepressants, antipsychotics, anxiolytics, psychostimulants and opioids. The resulting database is freely accessible at www.genes2mind.org. Bioinformatics approaches led to the identification of three main drug-responsive genomic networks and indicated neurobiological pathways that mediate the alterations in transcription. Each tested psychotropic drug was characterized by a unique gene network expression profile related to its neuropharmacological properties. Functional links that connect expression of the networks to the development of neuronal adaptations (MAPK signaling pathway), control of brain metabolism (adipocytokine pathway), and organization of cell projections (mTOR pathway) were found. The additional data-sets are available at GEOX1 and GEOX2. The microarray experiment was performed to analyze time-course of drug-induced transcriptional response in C57BL/6J mouse striatum. Three antidepressants (imipramine 10 mg/kg, fluoxetine 20 mg/kg and tianeptine 20 mg/kg, i.p.) were selected for the comparison. Drug doses were previously reported as effective in mice and further tested in our laboratory. To analyze dynamics of early, intermediate and relatively late changes of mRNA abundance the experiment was performed in four time points (1, 2, 4 and 8h after drug administration). To exclude influence of drug injection and circadian rhythm on gene expression profile, control groups of saline treated and naïve animals were prepared for each time point. Design of the experiment assumed pooling of two animals per each array and using of three independent arrays per group. To provide appropriate balance in the whole dataset groups were equally divided between the array hybridization batches.
Project description:To identify the molecular mechanisms that may initiate therapeutic effects, whole-genome expression profiling (Illumina Mouse WG-6 microarrays) of drug-induced alterations in the mouse brain was undertaken, with a focus on the time-course (1, 2, 4 and 8h) of gene expression changes produced by eighteen major psychotropic drugs: antidepressants, antipsychotics, anxiolytics, psychostimulants and opioids. The resulting database is freely accessible at www.genes2mind.org. Bioinformatics approaches led to the identification of three main drug-responsive genomic networks and indicated neurobiological pathways that mediate the alterations in transcription. Each tested psychotropic drug was characterized by a unique gene network expression profile related to its neuropharmacological properties. Functional links that connect expression of the networks to the development of neuronal adaptations (MAPK signaling pathway), control of brain metabolism (adipocytokine pathway), and organization of cell projections (mTOR pathway) were found. The additional data-sets are available at GEOX1 and GEOX2. The microarray experiment was performed to analyze time-course of drug-induced transcriptional response in C57BL/6J mouse striatum. Three antidepressants (bupropion 20 mg/kg, tranylcypromine 20 mg/kg, mianserin 20 mg/kg, i.p.), three anxiolytics (diazepam 5 mg/kg, buspirone 10 mg/kg, hydroxyzine 10 mg/kg, i.p.), and three antipsychotics (clozapine 3 mg/kg, risperidone 0.5 mg/kg, haloperidol 1 mg/kg) were selected for the comparison. Drug doses were previously reported as effective in mice and further tested in our laboratory. To analyze dynamics of early, intermediate and relatively late changes of mRNA abundance the experiment was performed in four time points (1, 2, 4 and 8h after drug administration). To exclude influence of drug injection and circadian rhythm on gene expression profile, control groups of saline or tween (1% Tween 80) treated and naïve animals were prepared for each time point. Design of the experiment assumed pooling of two animals per each array and using of three independent arrays per group. To provide appropriate balance in the whole dataset groups were equally divided between the array hybridization batches.
Project description:Ketamine has been found to elicit a rapid antidepressant effects in treatment-refractory affective disorders. To indicate the underlying mechanism of action we have performed whole-genome microarray profiling. Moreover, the effects of ketamine were compared to other NMDA receptor antagonists phencyclidine and memantine. Type: Drug response, Time-course, Gene expression profiling with Illumina Microarrays Keywords: Ketamine, NMDA antagonist, Phencyclidyne, Memantine, Time-course, Gene Expression, Acute treatment The microarray experiment was performed to analyze time-course of drug-induced transcriptional response in C57BL/6J mouse striatum. Three NMDA antagonists (ketamine 20 mg/kg, phencyclidine 5 mg/kg and memantine 15 mg/kg i.p.) were selected for the comparison. Drug doses were based on the literature. To analyze dynamics of early, intermediate and relatively late changes of mRNA abundance the experiment was performed in four time points (1, 2, 4 and 8h after drug administration). To exclude influence of drug injection and circadian rhythm on gene expression profile, control groups of saline treated and naive animals were prepared for each time point. Samples from 2 mice were pooled per microarray, 3 biological replicates were used per time point and 12 arrays per each drug. To provide appropriate balance in the whole dataset groups were equally divided between the array hybridization batches. 'Complete' normalized data and non-normalized data (containing control rows not represented in Platform GPL6105) are linked below as supplementary files.
Project description:Ketamine has been found to elicit a rapid antidepressant effects in treatment-refractory affective disorders. To indicate the underlying mechanism of action we have performed whole-genome microarray profiling. Moreover, the effects of ketamine were compared to other NMDA receptor antagonists phencyclidine and memantine. Type: Drug response, Time-course, Gene expression profiling with Illumina Microarrays Keywords: Ketamine, NMDA antagonist, Phencyclidyne, Memantine, Time-course, Gene Expression, Acute treatment The microarray experiment was performed to analyze time-course of drug-induced transcriptional response in C57BL/6J mouse hippocampus. Three NMDA antagonists (ketamine 20 mg/kg, phencyclidine 5 mg/kg and memantine 15 mg/kg i.p.) were selected for the comparison. Drug doses were based on the literature. To analyze dynamics of early, intermediate and relatively late changes of mRNA abundance the experiment was performed in four time points (1, 2, 4 and 8h after drug administration). To exclude influence of drug injection and circadian rhythm on gene expression profile, control groups of saline treated and naive animals were prepared for each time point. Samples from 2 mice were pooled per microarray, 3 biological replicates were used per time point and 12 arrays per each drug. To provide appropriate balance in the whole dataset groups were equally divided between the array hybridization batches. 'Complete' normalized data and non-normalized data (containing control rows not represented in Platform GPL6105) are linked below as supplementary files.
Project description:Comparison of changes in gene expression between the mouse strains (C57BL/6J and SWR/J) with diverse phenotype provides the possibility to find associations between transcriptional and behavioral response to the stress. We used whole-genome Illumina microarrays to analyze the effects on transcription of different aversive stimuli : restraint and/or footshocks, or after the exposure to the fear conditioning context. The microarray experiment was performed to compare transcriptional response in the amygdala to stress between two inbred mouse strains C57BL/6J and SWR/J. The effects on gene expression 2 h after the restraint (0.5 h) stress (R) and/or exposure to 5 x 1 mA footshocks (FC) and after the exposure to the fear conditioning context (CTX)(14 days post footshocks). Individual amygdala samples were used per microarray, 5-8 biological replicates were used per experimental group. To provide appropriate balance in the whole dataset groups were equally divided between the array hybridization batches.
Project description:To identify the molecular mechanisms that may initiate therapeutic effects, whole-genome expression profiling (Illumina Mouse WG-6 microarrays) of drug-induced alterations in the mouse brain was undertaken, with a focus on the time-course (1, 2, 4 and 8h) of gene expression changes produced by eighteen major psychotropic drugs: antidepressants, antipsychotics, anxiolytics, psychostimulants and opioids. The resulting database is freely accessible at www.genes2mind.org. Bioinformatics approaches led to the identification of three main drug-responsive genomic networks and indicated neurobiological pathways that mediate the alterations in transcription. Each tested psychotropic drug was characterized by a unique gene network expression profile related to its neuropharmacological properties. Functional links that connect expression of the networks to the development of neuronal adaptations (MAPK signaling pathway), control of brain metabolism (adipocytokine pathway), and organization of cell projections (mTOR pathway) were found. The additional data-sets are available at GEOX1 and GEOX2.
Project description:To identify the molecular mechanisms that may initiate therapeutic effects, whole-genome expression profiling (Illumina Mouse WG-6 microarrays) of drug-induced alterations in the mouse brain was undertaken, with a focus on the time-course (1, 2, 4 and 8h) of gene expression changes produced by eighteen major psychotropic drugs: antidepressants, antipsychotics, anxiolytics, psychostimulants and opioids. The resulting database is freely accessible at www.genes2mind.org. Bioinformatics approaches led to the identification of three main drug-responsive genomic networks and indicated neurobiological pathways that mediate the alterations in transcription. Each tested psychotropic drug was characterized by a unique gene network expression profile related to its neuropharmacological properties. Functional links that connect expression of the networks to the development of neuronal adaptations (MAPK signaling pathway), control of brain metabolism (adipocytokine pathway), and organization of cell projections (mTOR pathway) were found. The additional data-sets are available at GEOX1 and GEOX2.