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基于全基因组关联研究、微阵列和 RNA-seq 数据鉴定阿尔茨海默病病理中的关键长非编码 RNA 及其功能。

Identification of Key Long Non-Coding RNAs in the Pathology of Alzheimer's Disease and their Functions Based on Genome-Wide Associations Study, Microarray, and RNA-seq Data.

机构信息

Innovative Drug Research and Bioinformatics Group, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.

School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing, China.

出版信息

J Alzheimers Dis. 2019;68(1):339-355. doi: 10.3233/JAD-181051.

Abstract

The pathogenesis of Alzheimer's disease (AD) is identified to be significantly regulated by long non-coding RNA (lncRNA) based on in vivo and clinical experiments. Single nucleotide polymorphisms (SNPs) can strongly impact expression and function of lncRNA in AD, and previous genome-wide associations studies (GWAS) have discovered substantial amount of risk SNPs associated with AD. However, current studies omit the important information about SNPs when identifying potential AD-related lncRNAs. In addition to single discovery approach and small-scale samples in these studies, the number of lncRNAs discovered as keys in AD is limited. Here, multiple computational methods were integrated to discover novel and key lncRNA of the pathology of AD. First, large-scale GWAS data involved in three ethnicities were collected from two authoritative sources, and meta-analyses were conducted to find SNPs significantly associated with AD (tag SNPs). Second, these tag SNPs together with their linkage disequilibrium information were used to discover potential lncRNAs related to AD. Third, after validation by microarray probe re-annotation of 1,282 samples and RNA-seq data analysis of 117 samples, respectively, a total of five key lncRNAs of AD were identified. Finally, possible function of these lncRNAs was predicted by genome mapping, expression quantitative trait loci, differential co-expression, and gene set enrichment analysis. Based on function prediction, four of the five key lncRNAs were identified to affect the risk of AD by regulating corresponding pathogenic genes and pathways, which are involved in regulation of amyloid-β peptide and the immune system. In summary, these findings can facilitate the discovery of potential disease-related lncRNAs and enhance understanding of the pathogenesis of AD.

摘要

阿尔茨海默病(AD)的发病机制被确定为受长链非编码 RNA(lncRNA)显著调控,这是基于体内和临床实验得出的结论。单核苷酸多态性(SNP)可以强烈影响 AD 中 lncRNA 的表达和功能,以前的全基因组关联研究(GWAS)已经发现了大量与 AD 相关的风险 SNP。然而,目前的研究在确定潜在的 AD 相关 lncRNA 时忽略了 SNP 的重要信息。除了这些研究中的单一发现方法和小规模样本外,作为 AD 关键的 lncRNA 数量有限。在这里,整合了多种计算方法来发现 AD 病理的新型关键 lncRNA。首先,从两个权威来源收集了涉及三个种族的大规模 GWAS 数据,并进行荟萃分析以找到与 AD 显著相关的 SNP(标签 SNP)。其次,这些标签 SNP 及其连锁不平衡信息用于发现与 AD 相关的潜在 lncRNA。第三,分别通过对 1,282 个样本的微阵列探针重新注释和对 117 个样本的 RNA-seq 数据分析进行验证,共鉴定出 5 个 AD 关键 lncRNA。最后,通过基因组映射、表达数量性状基因座、差异共表达和基因集富集分析预测这些 lncRNA 的可能功能。基于功能预测,这 5 个关键 lncRNA 中的 4 个通过调节相应的致病基因和途径来影响 AD 的风险,这些基因和途径参与了淀粉样蛋白-β肽和免疫系统的调节。总之,这些发现可以促进潜在疾病相关 lncRNA 的发现,并增强对 AD 发病机制的理解。

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