Department of Neurosciences, Health Sciences Center, University of New Mexico Albuquerque, NM, USA.
Front Genet. 2013 Apr 26;4:58. doi: 10.3389/fgene.2013.00058. eCollection 2013.
The significant impact of microRNAs (miRNAs) on disease pathology is becoming increasingly evident. These small non-coding RNAs have the ability to post-transcriptionally silence the expression of thousands of genes. Therefore, dysregulation of even a single miRNA could confer a large polygenic effect. Schizophrenia is a genetically complex illness thought to involve multiple genes each contributing a small risk. Large genome-wide association studies identified miR-137, a miRNA shown to be involved in neuronal maturation, as one of the top risk genes. To assess the potential mechanism of impact of miR-137 in this disorder and identify its targets, we used a combination of literature searches, ingenuity pathway analysis (IPA), and freely accessible bioinformatics resources. Using TargetScan and the schizophrenia gene resource (SZGR) database, we found that in addition to CSMD1, C10orf26, CACNA1C, TCF4, and ZNF804A, five schizophrenia risk genes whose transcripts are also validated miR-137 targets, there are other schizophrenia-associated genes that may be targets of miR-137, including ERBB4, GABRA1, GRIN2A, GRM5, GSK3B, NRG2, and HTR2C. IPA analyses of all the potential targets identified several nervous system (NS) functions as the top canonical pathways including synaptic long-term potentiation, a process implicated in learning and memory mechanisms and recently shown to be altered in patients with schizophrenia. Among the subset of targets involved in NS development and function, the top scoring pathways were ephrin receptor signaling and axonal guidance, processes that are critical for proper circuitry formation and were shown to be disrupted in schizophrenia. These results suggest that miR-137 may indeed play a substantial role in the genetic etiology of schizophrenia by regulating networks involved in neural development and brain function.
微小 RNA(miRNA)对疾病病理学的显著影响正变得越来越明显。这些小的非编码 RNA 能够在后转录水平上沉默数千个基因的表达。因此,即使单个 miRNA 的失调也可能产生很大的多基因效应。精神分裂症是一种遗传复杂的疾病,被认为涉及多个基因,每个基因都贡献一小部分风险。大规模全基因组关联研究确定了 miR-137,一种与神经元成熟有关的 miRNA,是顶级风险基因之一。为了评估 miR-137 在这种疾病中的潜在影响机制并确定其靶点,我们结合文献搜索、Ingenuity 通路分析(IPA)和免费的生物信息学资源进行研究。使用 TargetScan 和精神分裂症基因资源(SZGR)数据库,我们发现除了 CSMD1、C10orf26、CACNA1C、TCF4 和 ZNF804A 之外,还有另外五个精神分裂症风险基因的转录本也是 miR-137 的靶标,这些基因包括 ERBB4、GABRA1、GRIN2A、GRM5、GSK3B、NRG2 和 HTR2C,它们可能是 miR-137 的靶点。对所有潜在靶点的 IPA 分析确定了几个神经系统(NS)功能作为顶级经典途径,包括突触长时程增强,这是一个与学习和记忆机制有关的过程,最近发现在精神分裂症患者中发生改变。在涉及 NS 发育和功能的靶点亚集中,得分最高的途径是 Ephrin 受体信号和轴突导向,这是正确电路形成的关键过程,并且在精神分裂症中被证明被破坏。这些结果表明,miR-137 可能通过调节涉及神经发育和大脑功能的网络,在精神分裂症的遗传病因中发挥重要作用。