Parthasarathi K T Shreya, Munjal Nupur S, Dey Gourav, Kumar Abhishek, Pandey Akhilesh, Balakrishnan Lavanya, Sharma Jyoti
Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, 576104, India.
J Cell Commun Signal. 2021 Dec;15(4):595-600. doi: 10.1007/s12079-021-00642-2. Epub 2021 Sep 6.
Severe acute respiratory syndrome coronaviruses (SARS-CoVs) caused worldwide epidemics over the past few decades. Extensive studies on various strains of coronaviruses provided a basic understanding of the pathogenesis of the disease. Presently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is leading a global pandemic with unprecedented challenges. This is the third coronavirus outbreak of this century. A signaling pathway map of signaling events induced by SARS-CoV infection is not yet available. In this study, we present a literature-annotated signaling pathway map of reactions induced by SARS-CoV infected cells. Multiple signaling modules were found to be orchestrated including PI3K-AKT, Ras-MAPK, JAK-STAT, Type 1 IFN and NFκB. The signaling pathway map of SARS-CoV consists of 110 molecules and 101 reactions mediated by SARS-CoV proteins. The pathway reaction data are available in various community standard data exchange formats including Systems Biology Graphical Notation (SBGN). The pathway map is publicly available through the GitHub repository and data in various formats can be freely downloadable.
严重急性呼吸综合征冠状病毒（SARS-CoV）在过去几十年中引发了全球疫情。对各种冠状病毒株的广泛研究为该疾病的发病机制提供了基本认识。目前，严重急性呼吸综合征冠状病毒2（SARS-CoV-2）正在引发一场带来前所未有的挑战的全球大流行。这是本世纪第三次冠状病毒爆发。尚未有SARS-CoV感染诱导的信号事件的信号通路图。在本研究中，我们展示了一幅由SARS-CoV感染细胞诱导的反应的文献注释信号通路图。发现多个信号模块相互协调，包括PI3K-AKT、Ras-MAPK、JAK-STAT、I型干扰素和NFκB。SARS-CoV的信号通路图由110个分子和101个由SARS-CoV蛋白介导的反应组成。通路反应数据以各种社区标准数据交换格式提供，包括系统生物学图形符号（SBGN）。该通路图可通过GitHub仓库公开获取，各种格式的数据均可免费下载。
