Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
Comput Biol Med. 2023 Sep;164:107279. doi: 10.1016/j.compbiomed.2023.107279. Epub 2023 Jul 17.
Long non-coding-RNAs (lncRNAs) are an expanding set of cis-/trans-regulatory RNA genes that outnumber the protein-coding genes. Although being increasingly discovered, the functional role of the majority of lncRNAs in diverse biological conditions is undefined. Increasing evidence supports the critical role of lncRNAs in the emergence, regulation, and progression of various viral infections including influenza, hepatitis, coronavirus, and human immunodeficiency virus. Hence, the identification of signature lncRNAs would facilitate focused analysis of their functional roles accounting for their targets and regulatory mechanisms associated with infections. Towards this, we compiled 2803 lncRNAs identified to be modulated by 33 viral strains in various mammalian cell types and are provided through the resource named VirhostlncR (http://ciods.in/VirhostlncR/). The information on each of the viral strains, their multiplicity of infection, duration of infection, host cell name and cell types, fold change of lncRNA expression, and their specific identification methods are integrated into VirhostlncR. Based on the current datasets, we report 150 lncRNAs including differentiation antagonizing non-protein coding RNA (DANCR), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), maternally expressed gene 3 (MEG3), nuclear paraspeckle assembly transcript 1 (NEAT1), and plasmacytoma variant translocation 1 (PVT1) to be perturbed by two or more viruses. Analysis of viral protein interactions with human transcription factors (TFs) or TF-containing protein complexes identified that distinct viruses can transcriptionally regulate many of these lncRNAs through multiple protein complexes. Together, we believe that the current dataset will enable priority selection of lncRNAs for identification of their targets and serve as an effective platform for the analysis of noncoding RNA-mediated regulations in viral infections.
长链非编码 RNA(lncRNA)是一组不断增加的顺式/反式调控 RNA 基因,其数量超过了蛋白质编码基因。尽管它们的功能越来越受到关注,但大多数 lncRNA 在各种生物条件下的功能作用尚未确定。越来越多的证据支持 lncRNA 在各种病毒感染(包括流感、肝炎、冠状病毒和人类免疫缺陷病毒)的出现、调节和进展中的关键作用。因此,鉴定特征性 lncRNA 将有助于集中分析它们的功能作用,包括它们的靶标和与感染相关的调节机制。为此,我们编译了 2803 个在各种哺乳动物细胞类型中被 33 种病毒株调节的 lncRNA,并通过名为 VirhostlncR(http://ciods.in/VirhostlncR/)的资源提供。每个病毒株的信息、它们的感染倍数、感染持续时间、宿主细胞名称和细胞类型、lncRNA 表达的倍数变化以及它们特定的鉴定方法都集成到了 VirhostlncR 中。基于当前数据集,我们报告了 150 个 lncRNA,包括分化拮抗非编码 RNA(DANCR)、肺腺癌转移相关转录本 1(MALAT1)、母系表达基因 3(MEG3)、核斑 assembly 转录本 1(NEAT1)和浆细胞瘤变异易位 1(PVT1),它们被两种或更多种病毒扰乱。分析病毒蛋白与人类转录因子(TF)或包含 TF 的蛋白复合物的相互作用,发现不同的病毒可以通过多个蛋白复合物转录调控许多这些 lncRNA。总之,我们相信当前的数据集将能够优先选择 lncRNA 来鉴定它们的靶标,并为分析病毒感染中非编码 RNA 介导的调节提供一个有效的平台。