2020
DOI: 10.1111/acer.14479
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Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence

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 alcoh… Show more

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Cited by 14 publications
(16 citation statements)
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“…2a and Supplementary Data 2). Within these sexually dimorphic proteins, we identified proteins previously implicated in reward-and drug-associated responses, such as GRM2 22 , VPS51 23 , SATT 24 , VGLU3 25 , IPO4 26 , VAMP1 27 , and CYFP2 28 (Fig. 2b).…”
Section: Resultsmentioning
confidence: 99%
“…2a and Supplementary Data 2). Within these sexually dimorphic proteins, we identified proteins previously implicated in reward-and drug-associated responses, such as GRM2 22 , VPS51 23 , SATT 24 , VGLU3 25 , IPO4 26 , VAMP1 27 , and CYFP2 28 (Fig. 2b).…”
Section: Resultsmentioning
confidence: 99%
“…The lmfit function in the limma package [ 35 ] was then used to fit a linear regression model using the weighted least square for each gene, and comparisons between case and control groups in log 2 fold-changes (log 2 FC) were obtained as contrasts of the fitted linear model, with a number of confounding factors being considered as covariates. We did principal component analysis (PCA) to extract the first three PCs for both technical (batch, RIN, and PMI) and biological (sex, age, brain weight, brain pH, left-right brain, smoking, and liver disease) confounding variables, and the obtained PC1, PC2, and PC3 were used as covariates in the model matrix design for differential expression analysis, as described in a recent article [ 36 ]. For microarray expression data from Set 2 brain tissue samples, the differential expression analysis was performed in the same way using the lmfit function in the limma package [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…In our recent study with the use of RNA sequencing (RNA-seq) to profile mRNA and microRNA (miRNA) transcriptomic changes in postmortem NAc of AUD subjects, we unraveled AUD-associated mRNA-miRNA pairs and their potentially influenced pathways (such as the CREB signaling in neurons) [ 26 ]. Recently, Drake et al assessed the role of long-noncoding RNA (lncRNAs) in postmortem NAc of AUD subjects [ 27 ]. To understand the epigenetic mechanisms behind alcohol-induced neuroadaptative changes in the NAc, Cervera-Juanes et al used rhesus macaques as models to identify NAc DNA methylation signals that distinguished alcohol-naive (AN), low/binge (L/BD), and heavy/very heavy (H/VHD) drinking primates [ 28 ].…”
Section: Introductionmentioning
confidence: 99%