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采用生物信息学与实验相结合的方法来探究长链非编码RNA的作用机制:以NRIR为例。

Implementation of a combined bioinformatics and experimental approach to address lncRNA mechanism of action: The example of NRIR.

作者信息

Mariotti Barbara, Di Blas Costanza, Bazzoni Flavia

机构信息

Department of Medicine, Division of General Pathology, University of Verona, Verona, Italy.

出版信息

Front Mol Biosci. 2022 Nov 4;9:873847. doi: 10.3389/fmolb.2022.873847. eCollection 2022.

Abstract

In this study, we demonstrate the benefit of applying combined strategies to analyze lncRNA action based on bioinformatics and experimental information. This strategy was developed to identify the molecular function of negative regulator of interferon response (NRIR), a type I interferon-stimulated gene (ISG), that we have previously demonstrated to be involved in the upregulation of a subset of ISGs in LPS-stimulated human monocytes. In this study, we provide experimental evidence that NRIR is localized in cellular nuclei, enriched on the chromatin fraction, and upregulates ISGs acting at the transcriptional level. analysis of secondary structures identified distinct NRIR structural domains, comprising putative DNA- and protein-binding regions. In parallel, the presence of a putative DNA-binding domain in NRIR and the five putative NRIR-binding sites in the promoter of NRIR-target genes support the function of NRIR as a transcriptional regulator of its target genes. By use of integrated experimental/bioinformatics approaches, comprising database and literature mining together with analysis of putative NRIR-binding proteins, we identified a list of eight transcription factors (TFs) shared by the majority of NRIR-target genes and simultaneously able to bind TF binding sites enriched in the NRIR-target gene promoters. Among these TFs, the predicted NRIR:STAT interactions were experimentally validated by RIP assay.

摘要

在本研究中,我们证明了基于生物信息学和实验信息应用联合策略分析长链非编码RNA(lncRNA)作用的益处。开发该策略是为了确定干扰素反应负调节因子(NRIR)的分子功能,NRIR是一种I型干扰素刺激基因(ISG),我们之前已证明它参与了脂多糖(LPS)刺激的人单核细胞中一部分ISG的上调。在本研究中,我们提供了实验证据,表明NRIR定位于细胞核,在染色质部分富集,并在转录水平上调ISG。对二级结构的分析确定了不同的NRIR结构域,包括假定的DNA和蛋白质结合区域。同时,NRIR中假定的DNA结合结构域以及NRIR靶基因启动子中的五个假定的NRIR结合位点支持NRIR作为其靶基因转录调节因子的功能。通过使用综合的实验/生物信息学方法,包括数据库和文献挖掘以及对假定的NRIR结合蛋白的分析,我们确定了一份由大多数NRIR靶基因共享且同时能够结合NRIR靶基因启动子中富集的转录因子结合位点的八个转录因子(TF)列表。在这些TF中,预测的NRIR:STAT相互作用通过RNA免疫沉淀(RIP)试验得到了实验验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fca9/9671926/4107f2f09796/fmolb-09-873847-g001.jpg

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