GEO DataSets

(Submitter supplied) Analysis of transcriptiomic alternations related with alcohol use disorders (AUDs). The hypothesis is that chronic alcohol consumption might alter genome-wide gene expression patterns. The results suggest that differential gene expression in the prefrontal cortex is implicated in neuroadaptations to alcohol.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10904

48 Samples

Download data: TXT

(Submitter supplied) Analysis of methylomic alternations related with alcohol use disorders (AUD). The hypothesis is that chronic alcohol consumption might alter genome-wide DNA methylation patterns. The results suggest that differential DNA methylation might be invovled in neuradaptations to alcohol.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

48 Samples

Download data: TXT

(Submitter supplied) Persistent changes in brain gene expression are hypothesized to underlie thealtered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

224 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

synthetic construct; Homo sapiens

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL16384 GPL571

70 Samples

Download data: CEL

(Submitter supplied) Chronic alcohol abuse has been linked to the disruption of executive function and allostatic conditioning of reward response dysregulation in the mesocorticolimbic pathway (MCL). Here, we analyzed genome-wide mRNA and miRNA expression from matched cases with alcohol dependence (AD) and controls (n=35) via gene network analysis to identify unique and shared biological processes dysregulated in the prefrontal cortex (PFC) and nucleus accumbens (NAc). more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL16384

35 Samples

Download data: CEL

(Submitter supplied) Chronic alcohol abuse has been linked to the disruption of executive function and allostatic conditioning of reward response dysregulation in the mesocorticolimbic pathway (MCL). Here, we analyzed genome-wide mRNA and miRNA expression from matched cases with alcohol dependence (AD) and controls (n=35) via gene network analysis to identify unique and shared biological processes dysregulated in the prefrontal cortex (PFC) and nucleus accumbens (NAc). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

35 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

234 Samples

Download data: CEL

(Submitter supplied) Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

46 Samples

Download data: CEL

(Submitter supplied) Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

48 Samples

Download data: CEL

(Submitter supplied) Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

48 Samples

Download data: CEL

(Submitter supplied) Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

45 Samples

Download data: CEL

(Submitter supplied) Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

47 Samples

Download data: CEL

(Submitter supplied) Here we provided the first single-base resolution DNA methylatome in chicken lungs by whole-genome bisulfite sequencing (MethylC-seq). In addition, two genetically distinct highly inbred chicken lines, Leghorn and Fayoumi, were used to examine how DNA methylation regulates mRNA gene expression between two lines. The methylation profile demonstrated that methylcytosines in the chicken were more likely to occur in CG dinucleotides than in non-CG sites. more...

Organism:

Gallus gallus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL9385

2 Samples

Download data: TXT

(Submitter supplied) Alcohol consumption is known to lead to gene expression changes in the brain. After performing gene co-expression network analysis (WGCNA) of genome-wide mRNA and microRNA expressions in the Nucleus Accumbens (NAc) from subjects with alcohol dependence (AD) and matched controls six mRNA and three miRNA modules significantly correlated with AD after Bonferroni correction (adj. p≤ 0.05) were identified. more...

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL16384 GPL571

72 Samples

Download data: CEL

(Submitter supplied) The prefrontal cortex is a crucial regulator of escalation of alcohol drinking, dependence, and other behavioral criteria associated with AUD. Comprehensive identification of cell-type specific transcriptomic changes in alcohol dependence will improve our understanding of mechanisms mediating the escalation of alcohol use and will refine targets for therapeutic development. We performed single nucleus RNA sequencing (snRNA-seq) on ~150,000 single nuclei from the medial prefrontal cortex (mPFC) obtained from C57BL/6J mice exposed to the chronic intermittent ethanol exposure (CIE) paradigm which models phenotypes associated with alcohol dependence. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24247

14 Samples

Download data: CSV, MTX, TSV

(Submitter supplied) 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).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

24 Samples

Download data: CEL

(Submitter supplied) 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).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

24 Samples

Download data: CEL

(Submitter supplied) 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).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

26 Samples

Download data: CEL

(Submitter supplied) 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).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

26 Samples

Download data: CEL

(Submitter supplied) 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).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

30 Samples

Download data: CEL