Understanding the (epi)genetic dysregulation in Parkinson's disease through an integrative brain competitive endogenous RNA network

IF 5.3 3区 医学 Q2 CELL BIOLOGY
Rafael Mina Piergiorge , Ana Tereza Ribeiro de Vasconcelos , Cíntia Barros Santos-Rebouças
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引用次数: 0

Abstract

Parkinson’s disease (PD) is a rapidly growing neurodegenerative disorder characterized by dopaminergic neuron loss in the substantia nigra pars compacta (SN) and aggregation of α-synuclein. Its aetiology involves a multifaceted interplay among genetic, environmental, and epigenetic factors. We integrated brain gene expression data from PD patients to construct a comprehensive regulatory network encompassing messenger RNAs (mRNAs), microRNAs (miRNAs), circular RNAs (circRNAs) and, for the first time, RNA binding proteins (RBPs). Expression data from the SN of PD patients and controls were systematically selected from public databases to identify combined differentially expressed genes (DEGs). Brain co-expression analysis revealed modules comprising significant DEGs that function cooperatively. The relationships among co-expressed DEGs, miRNAs, circRNAs, and RBPs revealed an intricate competitive endogenous RNA (ceRNA) network responsible for post-transcriptional dysregulation in PD. Many genes in the ceRNA network, including the TOMM20 and HMGCR genes, overlap with the most relevant genes in our previous Alzheimer’s disease-associated ceRNA network, suggesting common underlying mechanisms between both conditions. Moreover, in the ceRNA subnetwork, the RBP Aly/REF export factor (ALYREF), which acts as an RNA 5-methylcytosine(m5C)-binding protein, stood out. Our data sheds new light on the potential role of brain ceRNA networks in PD pathogenesis.

通过综合大脑竞争性内源性 RNA 网络了解帕金森病的(外)基因失调。
帕金森病(Parkinson's disease,PD)是一种迅速发展的神经退行性疾病,其特征是神经黑质(substantia nigra pars compacta,SN)中多巴胺能神经元的缺失和α-突触核蛋白(α-synuclein)的聚集。其病因涉及遗传、环境和表观遗传等多方面因素的相互作用。我们整合了帕金森病患者的脑部基因表达数据,构建了一个全面的调控网络,其中包括信使RNA(mRNA)、微RNA(miRNA)、环状RNA(circRNA)以及首次发现的RNA结合蛋白(RBPs)。研究人员从公共数据库中系统地筛选出了帕金森病患者和对照组SN的表达数据,以确定合并的差异表达基因(DEGs)。大脑共表达分析揭示了由具有协同功能的重要 DEGs 组成的模块。共表达的 DEGs、miRNAs、circRNAs 和 RBPs 之间的关系揭示了一个错综复杂的竞争性内源性 RNA(ceRNA)网络,该网络是造成帕金森病转录后失调的原因。ceRNA网络中的许多基因,包括TOMM20和HMGCR基因,与我们之前研究的阿尔茨海默病相关ceRNA网络中最相关的基因重叠,表明这两种疾病有共同的潜在机制。此外,在ceRNA子网络中,作为RNA 5-甲基胞嘧啶(m5C)结合蛋白的RBP Aly/REF导出因子(ALYREF)脱颖而出。我们的数据揭示了脑 ceRNA 网络在帕金森病发病机制中的潜在作用。
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来源期刊
CiteScore
11.10
自引率
1.90%
发文量
79
审稿时长
32 days
期刊介绍: Mechanisms of Ageing and Development is a multidisciplinary journal aimed at revealing the molecular, biochemical and biological mechanisms that underlie the processes of aging and development in various species as well as of age-associated diseases. Emphasis is placed on investigations that delineate the contribution of macromolecular damage and cytotoxicity, genetic programs, epigenetics and genetic instability, mitochondrial function, alterations of metabolism and innovative anti-aging approaches. For all of the mentioned studies it is necessary to address the underlying mechanisms. Mechanisms of Ageing and Development publishes original research, review and mini-review articles. The journal also publishes Special Issues that focus on emerging research areas. Special issues may include all types of articles following peered review. Proposals should be sent directly to the Editor-in-Chief.
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