Earlham Institute, Norwich, United Kingdom.
Quadram Institute Bioscience, Norwich, United Kingdom.
PLoS Comput Biol. 2021 Feb 3;17(2):e1008685. doi: 10.1371/journal.pcbi.1008685. eCollection 2021 Feb.
The SARS-CoV-2 pandemic of 2020 has mobilised scientists around the globe to research all aspects of the coronavirus virus and its infection. For fruitful and rapid investigation of viral pathomechanisms, a collaborative and interdisciplinary approach is required. Therefore, we have developed ViralLink: a systems biology workflow which reconstructs and analyses networks representing the effect of viruses on intracellular signalling. These networks trace the flow of signal from intracellular viral proteins through their human binding proteins and downstream signalling pathways, ending with transcription factors regulating genes differentially expressed upon viral exposure. In this way, the workflow provides a mechanistic insight from previously identified knowledge of virally infected cells. By default, the workflow is set up to analyse the intracellular effects of SARS-CoV-2, requiring only transcriptomics counts data as input from the user: thus, encouraging and enabling rapid multidisciplinary research. However, the wide-ranging applicability and modularity of the workflow facilitates customisation of viral context, a priori interactions and analysis methods. Through a case study of SARS-CoV-2 infected bronchial/tracheal epithelial cells, we evidence the functionality of the workflow and its ability to identify key pathways and proteins in the cellular response to infection. The application of ViralLink to different viral infections in a context specific manner using different available transcriptomics datasets will uncover key mechanisms in viral pathogenesis.
2020 年的 SARS-CoV-2 大流行促使全球科学家研究冠状病毒及其感染的各个方面。为了对病毒发病机制进行富有成效和快速的研究,需要采用协作和跨学科的方法。因此,我们开发了 ViralLink:一种系统生物学工作流程,用于构建和分析代表病毒对细胞内信号影响的网络。这些网络追踪信号从细胞内病毒蛋白通过其人类结合蛋白和下游信号通路的流动,最后以转录因子调节病毒暴露后差异表达的基因。通过这种方式,该工作流程从先前已识别的受病毒感染的细胞知识中提供了一种机制见解。默认情况下,该工作流程设置为分析 SARS-CoV-2 的细胞内效应,仅需要用户提供转录组计数数据作为输入:因此,鼓励和支持快速的多学科研究。然而,该工作流程具有广泛的适用性和模块化,可方便地定制病毒背景、先验相互作用和分析方法。通过对 SARS-CoV-2 感染的支气管/气管上皮细胞的案例研究,我们证明了该工作流程的功能及其识别感染后细胞反应中关键途径和蛋白质的能力。通过在特定上下文中使用不同可用的转录组数据集以特定于病毒的方式将 ViralLink 应用于不同的病毒感染,将揭示病毒发病机制中的关键机制。