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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression analysis of prefrontal cortex in mice exposed to chronic mild stress

ABSTRACT: Major depressive disorder (MDD) is a common disorder and is responsible for considerable disability in global functioning, anorexia, and severer medical comorbidity. Recently, some reports showed the relationship between MDD and the metabolic disorders such as diabetes. We examined gene expression profiles in the mice prefrontal cortex using genome-wide microarray technology, and determined gene expression profiles with and without chronic mild stress(CMS) for 4 weeks which was often used to make models of depression. To analyze the candidate genes involved in not only depression but dysfunction of physiological homeostasis like diabetes, we campared the gene expression levels between with and without CMS, then we isolated 494 genes showing a more than 2-fold increase or a less than 1/2-fold decrease, in addition, we chose the isolated genes transcriptional products of both samples were confirmed clearly. The prefrontal cortex of C57Bl/6 N sea mice with and without CMS. We mixed tatal RNA from 7 mice prefrontal cortex per each.

ORGANISM(S): Mus musculus

SUBMITTER: Kyosuke Yamanishi

PROVIDER: E-GEOD-49867 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression analysis of prefrontal cortex in mice exposed to chronic mild stress

Project description:Major depressive disorder (MDD) is a common disorder and is responsible for considerable disability in global functioning, anorexia, and severer medical comorbidity. Recently, some reports showed the relationship between MDD and the metabolic disorders such as diabetes. We examined gene expression profiles in the mice prefrontal cortex using genome-wide microarray technology, and determined gene expression profiles with and without chronic mild stress(CMS) for 4 weeks which was often used to make models of depression. To analyze the candidate genes involved in not only depression but dysfunction of physiological homeostasis like diabetes, we campared the gene expression levels between with and without CMS, then we isolated 494 genes showing a more than 2-fold increase or a less than 1/2-fold decrease, in addition, we chose the isolated genes transcriptional products of both samples were confirmed clearly.

2014-02-28 | GSE49867 | GEO

Circuit-wide Proteomics Profiling Reveals Brain Region-specific Protein Signatures in the WKY Rats with Endogenous Depression

Project description:Major depressive disorder (MDD) is considered as a neural circuit-based polygene syndrome that is mainly triggered by genetic susceptibility and stress factors. The present study employed the Wistar Kyoto (WKY) rat as an animal model with endogenous depression to further investigate the molecular basis of its genetic susceptibility to depression by performing quantitative protemoics analyses of the medial prefrontal cortex (mPFC), nucleus accumbens (NAc), and hippocampus (Hip), respectively.

2022-10-13 | PXD029079 | Pride

Intra-subject correlation of brain and blood gene expression in a mouse model of depression

Project description:Gene expression profiling of blood cells in patients with major depressive disorder (MDD) has been used to identify potential biomarkers and to address the pathophysiology of MDD. However, whether alteration in gene expression in blood cells are reflected in the brain of the same individual is unclear. Here, we used an animal model of depression to investigate intra-subject correlation of gene expression patterns between the whole blood (WB) and the medial prefrontal cortex (mPFC). Ovariectomized mice exposed to the chronic ultra-mild stress were used as an animal model of depression. The major findings of the current genome-wide microarray analysis are that 1) the expression levels of 467 genes that were expressed in both tissues correlated positively between the two tissues, 2) alterations in the expression of 4,215 genes in the WB of OVX-operated mice compared to the sham-operated mice were concordant with alterations in the corresponding mPFC, 3) the biological terms over-represented in the 4,215 OVX-affected genes were associated with ribosomal function, and 4) the 6 genes that are potentially relevant to depression-like behavior were observed to be differentially expressed in the WB of the model mice. The current findings suggest that alterations in the expression of a subset of genes are significantly correlated between the WB and the mPFC with in the same individual in an experimental model of depression. Female mice were subjected to chronic ultra-mild stress, a bilateral ovariectomy, or both. Sham-operated mice without stress were used as the control. Medial prefrontal cortex and whole blood were obtained from the same individual (n = 6 in each group), and analyzed using an Agilent SurePrint G3 Mouse GE 8×60K Microarray (Design ID: 028005)

2015-08-21 | E-GEOD-72262 | biostudies-arrayexpress

Expression data from human brain dorsolateral prefrontal cortex - including control samples and samples with major depression disorders (30 samples BA9_F)

Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 30 total samples in 15 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.

2014-05-16 | E-GEOD-54568 | biostudies-arrayexpress

Expression data from human brain dorsolateral prefrontal cortex - including control samples and samples with major depression disorders (26 samples NY_BA9)

Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 26 total samples in 13 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.

2014-05-16 | E-GEOD-54570 | biostudies-arrayexpress

Expression data from human brain dorsolateral prefrontal cortex - including control samples and samples with major depression disorders (28 samples BA9_M)

Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 28 total samples in 14 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.

2014-05-16 | E-GEOD-54567 | biostudies-arrayexpress

Expression data from human brain orbital ventral prefrontal cortex - including control samples and samples with major depression disorders (24 samples NY_BA47)

Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 24 total samples in 12 pairs were analyzed in postmortem tissue from the orbital ventral prefrontal cortex.

2014-05-16 | E-GEOD-54575 | biostudies-arrayexpress

Expression data from brain parts (amygdala, hippocampus, prefrontal cortex, and cerebral cortex) from mice with or without chronic mild stress (CMS) treatments.

Project description:Accumulation of negative stressful life events caused major depressive disorder (MDD) a major public health problem related to disability around the world. For effective therapy and disease managements, a comprehensive genomic analysis to identify objective signatures is required to grasp pathophysiological changes and applicable markers. This data was from a chronic mild stress (CMS) induced MDD mouse model followed by Affmatrix cDNA expression array (GeneChip Mouse Genome 430 2.0 Array) analysis in amygdala, hippocampus, prefrontal cortex, and cerebral cortex.

2020-06-05 | GSE151807 | GEO

Multi-OMIC analysis of brain and serum from chronically-stressed mice

Project description:Major depressive disorder (MDD) is a complex condition with unclear pathophysiology. Molecular disruptions within the periphery and limbic brain regions contribute to depression symptomatology. Here, we utilized a mouse chronic stress model of MDD and performed metabolomic, lipidomic, and proteomic profiling on serum plus several brain regions (ventral hippocampus, nucleus accumbens, and prefrontal cortex) of susceptible, resilient, and unstressed control mice. Proteomic analysis identified three serum proteins reduced in susceptible animals; lipidomic analysis detected differences in lipid species between resilient and susceptible animals in serum and brain; and metabolomic analysis revealed pathway dysfunctions of purine metabolism, beta oxidation, and antioxidants, which were differentially associated with stress susceptibility vs resilience by brain region. Antidepressant treatment ameliorated MDD-like behaviors and affected key metabolites within outlined networks, most dramatically in the ventral hippocampus. This work presents a resource for chronic stressinduced, tissue-specific changes in proteins, lipids, and metabolites and illuminates how molecular dysfunctions contribute to individual differences in stress sensitivity

2021-09-08 | PXD013146 | Pride

Intra-subject correlation of brain and blood gene patterns in a mouse model of depression

2015-08-21 | GSE72262 | GEO

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