Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

ABSTRACT: Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

PROVIDER: PRJNA680289 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [miRNA]

Project description: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). We further investigated potential mRNA/miRNA interactions at the network and individual gene expression levels to identify the neurobiological mechanisms underlying AD in the brain. By using genotyped and imputed SNP data, we identified expression quantitative trait loci (eQTL) uncovering potential genetic regulatory elements for gene networks associated with AD. At a Bonferroni corrected p≤0.05, we identified significant mRNA (NAc=6; PFC=3) and miRNA (NAc=3; PFC=2) AD modules. The gene-set enrichment analyses revealed modules preserved between PFC and NAc to be enriched for immune response processes, whereas genes involved in cellular morphogenesis/localization and cilia-based cell projection were enriched in NAc modules only. At a Bonferroni corrected p≤0.05, we identified significant mRNA/miRNA network module correlations (NAc=6; PFC=4), which at an individual transcript level implicated miR-449a/b as potential regulators for cellular morphogenesis/localization in NAc. Finally, we identified eQTLs (NAc: mRNA=37, miRNA=9; PFC: mRNA=17, miRNA=16) which potentially mediate alcohol’s effect in a brain region-specific manner. Our study highlights the neurotoxic effects of chronic alcohol abuse as well as brain region specific molecular changes that may impact the development of alcohol addiction.

2020-11-24 | GSE161997 | GEO

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]

2020-11-24 | GSE161986 | GEO

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

Project description:Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

| PRJNA680289 | ENA

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [miRNA]

Project description:Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [miRNA]

| PRJNA680295 | ENA

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]

Project description:Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]

| PRJNA680299 | ENA

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in NAc and PFC.

Project description: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). We further investigated potential mRNA/miRNA interactions at the network and individual gene expression levels to identify the neurobiological mechanisms underlying AD in the brain. By using genotyped and imputed SNP data, we identified expression quantitative trait loci (eQTL) uncovering potential genetic regulatory elements for gene networks associated with AD. At a Bonferroni corrected p≤0.05, we identified significant mRNA (NAc = 6; PFC = 3) and miRNA (NAc = 3; PFC = 2) AD modules. The gene-set enrichment analyses revealed modules preserved between PFC and NAc to be enriched for immune response processes, whereas genes involved in cellular morphogenesis/localization and cilia-based cell projection were enriched in NAc modules only. At a Bonferroni corrected p≤0.05, we identified significant mRNA/miRNA network module correlations (NAc = 6; PFC = 4), which at an individual transcript level implicated miR-449a/b as potential regulators for cellular morphogenesis/localization in NAc. Finally, we identified eQTLs (NAc: mRNA = 37, miRNA = 9; PFC: mRNA = 17, miRNA = 16) which potentially mediate alcohol's effect in a brain region-specific manner. Our study highlights the neurotoxic effects of chronic alcohol abuse as well as brain region specific molecular changes that may impact the development of alcohol addiction.

| S-EPMC7745987 | biostudies-literature

Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-11-24 | GSE161999 | GEO

Intestinal alcohol abuse sorted dendritic cells proteomics

Project description:Consumption of ethanol has detrimental effects on gastric organs such as the intestine. To demonstrate the deleterious effect of alcohol, we sacrificed isobaric feeding or ethanol feeding mice and sorted the dendritic cells from their intestine organ. The dendritic cells were analyzed by a small-scale global proteomics approach. We achieved to obtain the biological signatures in the alcohol abuse mice group using bioinformatics analysis.

2024-06-16 | PXD033700 | Pride

Gene expression in the human VTA of cases with alcohol abuse

Project description:Drugs of abuse including nicotine and alcohol elicit their effect by stimulating the mesocorticolimbic dopaminergic system. There is a high incidence of nicotine dependence in alcoholics. To date only limited data is available on the molecular mechanism underlying the action of alcohol and nicotine in the human brain. This study utilised gene expression screening to identify genes sensitive to chronic alcohol abuse within the ventral tegmental area of the human brain. Keywords: gene expression, brain, alcohol abuse, human, ventral tegmental area

2007-09-21 | GSE9058 | GEO

Cocaine/saline study in HMDP mouse strains of PFC/NAc

Project description:This project will chart with high-resolution the genetic pathways that give rise to defined clinical phenotypes related to cocaine addiction. We will utilize the power of the hybrid mouse diversity panel (HMDP), combined with high quality behavioral phenotyping and massive-scale RNA sequencing, to trace the interconnections from DNA to RNA to clinical trait and provide layered information on the mechanisms of cocaine abuse. The HMDP consists of 100 inbred and recombinant inbred strains and has a wide array of meiotic breakpoints. The panel has been densely genotyped with more than 200,000 single nucleotide polymorphisms (SNPs), allowing very fine mapping of quantitative trait loci (QTLs). Further, the HMDP is genetically stable and renewable and can be assayed for multiple phenotypes, yielding cumulative biological information. We will expand our previous HMDP-based studies of cocaine abuse-related traits by adding massive-scale RNA sequencing (RNA-Seq), in order to detail the genetic control of the pathways to addiction.

2021-11-02 | GSE186981 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data