GeneSet Information

Tier III GS409232 • Differentially expressed long non-coding RNA (lncRNA) regions in human nucleus accumbens (Nac) associated with alcohol dependency vs. control_logFC

DESCRIPTION:

At the single gene expression analysis (p ≤ 0.10), we identified a total of 6,469 probes differentially expressed between alcohol dependency (AD) cases and controls, representing 3,645 long non-coding (lncRNA) and 2,725 protein-coding genes (PCG) that compromise 5.9% and 4.4% of the total gene pool assayed, respectively. Among the differentially expressed genes, we also identified 99 pseudogenes.

LABEL:

DE lncRNA from human NAc associated with AD vs control_logFC

SCORE TYPE:

Effect

THRESHOLD:

<= 0.5

GENES IN THRESHOLD:

0

DATE ADDED:

2024-10-24

DATE UPDATED:

2024-10-24

SPECIES:

AUTHORS:

John Drake, Gowon O McMichael, Eric Sean Vornholt, Kellen Cresswell, Vernell Williamson, Chris Chatzinakos, Mohammed Mamdani, Siddharth Hariharan, Kenneth S Kendler, Gursharan Kalsi, Brien P Riley, Mikhail Dozmorov, Michael F Miles, Silviu-Alin Bacanu, Vladimir I Vladimirov

TITLE:

Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence.

JOURNAL:

Alcoholism, clinical and experimental research Dec 2020, Vol 44, pp. 2468-2480

ABSTRACT:

Background: Long noncoding RNA (lncRNA) have been implicated in the etiology of alcohol use. Since lncRNA provide another layer of complexity to the transcriptome, assessing their expression in the brain is the first critical step toward understanding lncRNA functions in alcohol use and addiction. Thus, we sought to profile lncRNA expression in the nucleus accumbens (NAc) in a large postmortem alcohol brain sample. Methods: LncRNA and protein-coding gene (PCG) expressions in the NAc from 41 subjects with alcohol dependence (AD) and 41 controls were assessed via a regression model. Weighted gene coexpression network analysis was used to identify lncRNA and PCG networks (i.e., modules) significantly correlated with AD. Within the significant modules, key network genes (i.e., hubs) were also identified. The lncRNA and PCG hubs were correlated via Pearson correlations to elucidate the potential biological functions of lncRNA. The lncRNA and PCG hubs were further integrated with GWAS data to identify expression quantitative trait loci (eQTL). Results: At Bonferroni adj. p-value ≤ 0.05, we identified 19 lncRNA and 5 PCG significant modules, which were enriched for neuronal and immune-related processes. In these modules, we further identified 86 and 315 PCG and lncRNA hubs, respectively. At false discovery rate (FDR) of 10%, the correlation analyses between the lncRNA and PCG hubs revealed 3,125 positive and 1,860 negative correlations. Integration of hubs with genotype data identified 243 eQTLs affecting the expression of 39 and 204 PCG and lncRNA hubs, respectively. Conclusions: Our study identified lncRNA and gene networks significantly associated with AD in the NAc, coordinated lncRNA and mRNA coexpression changes, highlighting potentially regulatory functions for the lncRNA, and our genetic (cis-eQTL) analysis provides novel insights into the etiological mechanisms of AD. PUBMED: 33067813
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Annotation Information

No sequence read archive data associated with this GeneSet.


Gene Pool (D005788)
Brain (D001921)
Clinical Coding (D059019)
RNA (D012313)
RNA, Untranslated (D022661)
Gene Regulatory Networks (D053263)
Gene Expression Profiling (D020869)
Comprehension (D032882)
Biological Products (D001688)
Quantitative Trait Loci (D040641)
Gene Expression (D015870)
RNA, Messenger (D012333)
Proteins (D011506)
Genotype (D005838)
Nucleus Accumbens (D009714)
Genes (D005796)
Methods (D008722)
Pseudogenes (D011544)
Alcoholism (D000437)
accumbens nucleus (MA:0000892)
brain (MA:0000168)
addiction (MP:0002555)
nascent polypeptide-associated complex (GO:0005854)
nucleus (GO:0005634)
gene expression (GO:0010467)
RNA (EDAM_topic:0099)
Gene expression analysis (EDAM_operation:2410)
Analysis (EDAM_operation:2945)
Genetics (EDAM_topic:3053)
Pathway or network (EDAM_data:2600)
protein (EDAM_format:1208)
Transcriptomics (EDAM_topic:0203)
P-value (EDAM_data:1669)
Data (EDAM_data:0006)
Functional and non-coding RNA (EDAM_topic:0659)
Gene expression data processing (EDAM_operation:2495)
Pathways, networks and models (EDAM_topic:0602)
Probes and primers (EDAM_topic:0632)
rna (EDAM_format:1213)
Genotype and phenotype (EDAM_topic:0625)
N-acetyl-L-cysteine (CHEBI:28939)
protein (CHEBI:36080)
benzylpenicillin (CHEBI:18208)
NAC (CHEBI:7421)
ethanol (CHEBI:16236)
protein polypeptide chain (CHEBI:16541)
alcohol (CHEBI:30879)
ribonucleic acid (CHEBI:33697)
messenger RNA (CHEBI:33699)
atomic nucleus (CHEBI:33252)
alcohol dependence (DOID:0050741)
pool (EFO:0000663)
obsolete_accumbens nucleus (EFO:0000906)
genotype (EFO:0000513)
brain (UBERON:0000955)
central sulcus of insula (UBERON:0035925)
neural nucleus (UBERON:0000125)
nervous system cell part layer (UBERON:0022303)
nucleus accumbens (UBERON:0001882)
anatomical projection (UBERON:0004529)
adult cerebral ganglion (UBERON:6110636)
cell layer (UBERON:0000119)

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