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首页> 外文期刊>BMC Genomics >Identification of ncRNAs as potential therapeutic targets in multiple sclerosis through differential ncRNA – mRNA network analysis
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Identification of ncRNAs as potential therapeutic targets in multiple sclerosis through differential ncRNA – mRNA network analysis

机译:通过差异ncRNA – mRNA网络分析鉴定ncRNAs作为多发性硬化症的潜在治疗靶标

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Several studies have revealed a potential role for both small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs) in the physiopathology of relapsing-remitting multiple sclerosis (RRMS). This potential implication has been mainly described through differential expression studies. However, it has been suggested that, in order to extract additional information from large-scale expression experiments, differential expression studies must be complemented with differential network studies. Thus, the present work is aimed at the identification of potential therapeutic ncRNA targets for RRMS through differential network analysis of ncRNA – mRNA coexpression networks. ncRNA – mRNA coexpression networks have been constructed from both selected ncRNA (specifically miRNAs, snoRNAs and sdRNAs) and mRNA large-scale expression data obtained from 22 patients in relapse, the same 22 patients in remission and 22 healthy controls. Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the ncRNAs. All the coexpression networks we built present a scale-free topology and many snoRNAs are shown to have a prominent role in their architecture. The differential network analysis (relapse vs. remission vs. controls’ networks) has revealed that, although both network topology and the majority of the genes are maintained, few ncRNA – mRNA links appear in more than one network. We have selected as potential therapeutic targets the ncRNAs that appear in the disease-specific network and were found to be differentially expressed in a previous study. Our results suggest that the diseased state of RRMS has a strong impact on the ncRNA – mRNA network of peripheral blood leukocytes, as a massive rewiring of the network happens between conditions. Our findings also indicate that the role snoRNAs have in targeted gene silencing is a widespread phenomenon. Finally, among the potential therapeutic target ncRNAs, SNORA40 seems to be the most promising candidate.
机译:多项研究表明,小核仁RNA(snoRNA)和微小RNA(miRNA)在复发缓解型多发性硬化症(RRMS)的生理病理学中均具有潜在作用。主要通过差异表达研究描述了这种潜在的含义。但是,已经提出,为了从大规模表达实验中提取其他信息,必须将差异表达研究与差异网络研究相结合。因此,本研究旨在通过对ncRNA – mRNA共表达网络进行差异网络分析,确定RRMS的潜在治疗性ncRNA靶标。 ncRNA –从选定的ncRNA(特别是miRNA,snoRNA和sdRNA)和从22例复发患者,22例缓解患者和22例健康对照中获得的mRNA大规模表达数据构建了mRNA共表达网络。已经建立了条件特定的(复发,缓解和健康)网络,并进行了比较,以识别受干扰影响最大的系统部分,并帮助确定ncRNA中的潜在治疗靶标。我们构建的所有共表达网络均呈现无标度拓扑,并且许多snoRNA在其体系结构中发挥了重要作用。差异网络分析(复发与缓解与对照网络)表明,尽管网络拓扑结构和大多数基因都得到了维持,但很少有ncRNA – mRNA链接出现在多个网络中。我们选择了出现在疾病特异性网络中并在先前研究中发现差异表达的ncRNAs作为潜在的治疗靶标。我们的结果表明,RRMS的患病状态会对外周血白细胞的ncRNA – mRNA网络产生强烈影响,因为在条件之间会发生大量的网络重新布线。我们的发现还表明snoRNA在靶向基因沉默中的作用是普遍现象。最后,在潜在的治疗靶标ncRNA中,SNORA40似乎是最有前途的候选药物。

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