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Series GSE182223 Query DataSets for GSE182223
Status Public on Oct 13, 2021
Title Profiling of mRNA transcriptomic changes using RNA-seq in postmortem nucleus accumbens of subjects with alcohol use disorder
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder.
Methods: Total RNAs were extracted from postmortem nucleus accumbens of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method.
Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem nucleus accumbens of subjects with alcohol use disorder (AUD).
Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
 
Overall design Cases and controls were matched by race, sex, age, etc.
 
Contributor(s) Huiping Z
Citation(s) 34601489
Submission date Aug 16, 2021
Last update date Aug 26, 2022
Contact name Huiping Zhang
E-mail(s) [email protected]
Phone 6173583689
Organization name Boston University School of Medicine
Department Psychiatry
Street address 72 East Concord Street
City Boston
State/province Massachusetts
ZIP/Postal code 02118
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (24)
GSM5525293 Subject_1_Control [Human postmortem nucleus accumbens]
GSM5525294 Subject_2_Control [Human postmortem nucleus accumbens]
GSM5525295 Subject_3_Control [Human postmortem nucleus accumbens]
This SubSeries is part of SuperSeries:
GSE181982 Profiling of transcriptomic changes using seq in postmortem brains of subjects with alcohol use disorder
Relations
BioProject PRJNA873946

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Supplementary file Size Download File type/resource
GSE182223_Raw_gene_counts_matrix.txt.gz 1.2 Mb (ftp)(http) TXT
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