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

2020 ◽  
Vol 44 (12) ◽  
pp. 2468-2480
Author(s):  
John Drake ◽  
Gowon O. McMichael ◽  
Eric Sean Vornholt ◽  
Kellen Cresswell ◽  
Vernell Williamson ◽  
...  
2019 ◽  
Author(s):  
Gowon O. McMichael ◽  
John Drake ◽  
Eric Sean Vornholt ◽  
Kellen Cresswell ◽  
Vernell Williamson ◽  
...  

AbstractRecently, long noncoding RNA (lncRNA) were implicated in the etiology of alcohol dependence (AD). As lncRNA provide another layer of complexity to the transcriptome, assessing their expression in the brain is the first critical step towards understanding lncRNA functions in AD. To that end, we profiled the expression of lncRNA and protein coding genes (PCG) in nucleus accumbens (NAc) from 41 subjects with AD and 41 controls. At false discovery rate (FDR) of 5%, we identified 69 and 309 differentially expressed lncRNA and PCG genes, respectively. Using co-expression network analyses, we identified three lncRNA and five PCG modules significantly correlated with AD at Bonferroni adj. p≤0.05. To better understand lncRNA functions, we integrated the lncRNA and PCG hubs from the significant AD modules; at FDR of 5%, we identified 3 151 positive and 2 255 negative correlations supporting the functional role of lncRNA in the development of AD. Gene enrichment analysis revealed that PCG significantly correlated with lncRNA are, among others, enriched for neuronal and immune related processes. To highlight the mechanisms, by which genetic variants contribute to AD, we integrated lncRNA and PCG hubs with genome-wide SNP data. At FDR≤0.3, we identified 276 expression quantitative trait loci (eQTL), affecting the expression of 20 and 256 lncRNA and PCG hubs, respectively. Our study is the first to profile lncRNA expression in nucleus accumbens in a large postmortem alcohol brain sample and our results may provide novel insights into the regulation of the brain transcriptome across disease.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zimo Zhou ◽  
Mohammad Showkat Hossain ◽  
Da Liu

AbstractOsteogenic differentiation and bone regeneration are complex processes involving multiple genes and multiple steps. In this review, we summarize the effects of the long noncoding RNA (lncRNA) H19 on osteogenic differentiation.Osteogenic differentiation includes matrix secretion and calcium mineralization as hallmarks of osteoblast differentiation and the absorption of calcium and phosphorus as hallmarks of osteoclast differentiation. Mesenchymal stem cells (MSCs) form osteoprogenitor cells, pre-osteoblasts, mature osteoblasts, and osteocytes through induction and differentiation. lncRNAs regulate the expression of coding genes and play essential roles in osteogenic differentiation and bone regeneration. The lncRNA H19 is known to have vital roles in osteogenic induction.This review highlights the role of H19 as a novel target for osteogenic differentiation and the promotion of bone regeneration.


2018 ◽  
Vol 13 ◽  
pp. 580-589 ◽  
Author(s):  
Ling-Min Liao ◽  
Feng-Hao Zhang ◽  
Gong-Ji Yao ◽  
Su-Feng Ai ◽  
Min Zheng ◽  
...  

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Valentina Profumo ◽  
Barbara Forte ◽  
Stefano Percio ◽  
Federica Rotundo ◽  
Valentina Doldi ◽  
...  

2020 ◽  
Vol 16 (35) ◽  
pp. 2981-2995
Author(s):  
Ning Lou ◽  
Guohong Liu ◽  
Yunbao Pan

The long noncoding RNA ANRIL, located in the human chromosome 9p21 region, has been reported to be involved in tumor progression. ANRIL regulates gene expression via recruiting PRC2 or titrating miRNA; it also participates in signaling pathways. Evidence has indicated that ANRIL is overexpressed in many cancer types and is capable of enhancing cell proliferation and cell cycle progression and inhibiting apoptosis and senescence. ANRIL has the potential to serve as a biomarker for diagnosis and prognosis in cancer. In this article we focus on recent advances in studies of the oncogenic role of ANRIL and its potential role in cancer medicine.


Oncotarget ◽  
2017 ◽  
Vol 8 (59) ◽  
pp. 100490-100498 ◽  
Author(s):  
Tian Lan ◽  
Xiong Lan ◽  
Guangcai Li ◽  
Zhen Zheng ◽  
Minghua Zhang ◽  
...  

Author(s):  
Anirban Sahu ◽  
Matthew K. Iyer ◽  
John R. Prensner ◽  
Arul M. Chinnaiyan

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