Neurosciences Program, Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA.
Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA.
Sci Rep. 2020 Mar 18;10(1):4921. doi: 10.1038/s41598-020-61307-5.
microRNAs are short, noncoding RNAs that can regulate hundreds of targets and thus shape the expression landscape of a cell. Similar to mRNA, they often exhibit cell type enriched expression and serve to reinforce cellular identity. In tissue with high cellular complexity, such as the central nervous system (CNS), it is difficult to attribute microRNA changes to a particular cell type. To facilitate interpretation of microRNA studies in these tissues, we used previously generated data to develop a publicly accessible and user-friendly database to enable exploration of cell type enriched microRNA expression. We provide illustrations of how this database can be utilized as a reference as well as for hypothesis generation. First, we suggest a putative role for miR-21 in the microglial spinal injury response. Second, we highlight data indicating that differential microRNA expression, specifically miR-326, may in part explain regional differences in inflammatory cells. Finally, we show that miR-383 expression is enriched in cortical glutamatergic neurons, suggesting a unique role in these cells. These examples illustrate the database's utility in guiding research towards unstudied regulators in the CNS. This novel resource will aid future research into microRNA-based regulatory mechanisms responsible for cellular phenotypes within the CNS.
microRNAs 是短的非编码 RNA,可以调节数百个靶标,从而塑造细胞的表达谱。与 mRNA 相似,它们通常表现出细胞类型丰富的表达,并有助于增强细胞身份。在细胞复杂性高的组织中,如中枢神经系统 (CNS),很难将 microRNA 的变化归因于特定的细胞类型。为了便于解释这些组织中的 microRNA 研究,我们使用先前生成的数据开发了一个可公开访问和用户友好的数据库,以支持对富含细胞类型的 microRNA 表达的探索。我们提供了如何将该数据库用作参考以及生成假设的说明。首先,我们提出了 miR-21 在小胶质细胞脊髓损伤反应中的推测作用。其次,我们强调了表明差异 microRNA 表达(特别是 miR-326)可能部分解释炎症细胞区域差异的数据。最后,我们表明 miR-383 的表达在皮质谷氨酸能神经元中富集,表明在这些细胞中具有独特的作用。这些例子说明了该数据库在指导针对 CNS 中未研究的调节剂的研究方面的实用性。这个新资源将有助于未来基于 microRNA 的调节机制的研究,这些机制负责 CNS 内的细胞表型。