Centre for Biological Threats and Special Pathogens: Highly Pathogenic Viruses (ZBS 1), Robert Koch Institute, 13353Berlin, Germany.
Centre for Biological Threats and Special Pathogens, Robert Koch Institute, 13353Berlin, Germany.
J Proteome Res. 2022 Feb 4;21(2):459-469. doi: 10.1021/acs.jproteome.1c00783. Epub 2022 Jan 4.
Severe acute respiratory syndrome (SARS)-CoV and SARS-CoV-2 infections are characterized by remarkable differences, including infectivity and case fatality rate. The underlying mechanisms are not well understood, illustrating major knowledge gaps of coronavirus biology. In this study, protein expression of the SARS-CoV- and SARS-CoV-2-infected human lung epithelial cell line Calu-3 was analyzed using data-independent acquisition-mass spectrometry. This resulted in a comprehensive map of infection-related proteome-wide expression changes in human cells covering the quantification of 7478 proteins across four time points. Most notably, the activation of interferon type-I response was observed, which is surprisingly absent in several proteome studies. The data reveal that SARS-CoV-2 triggers interferon-stimulated gene expression much stronger than SARS-CoV, which reflects the already described differences in interferon sensitivity. Potentially, this may be caused by the enhanced abundance of the viral M protein of SARS-CoV in comparison to SARS-CoV-2, which is a known inhibitor of type I interferon expression. This study expands the knowledge on the host response to SARS-CoV-2 infections on a global scale using an infection model, which seems to be well suited to analyze the innate immunity.
严重急性呼吸综合征(SARS)-冠状病毒和 SARS-CoV-2 感染的特征是显著的差异,包括传染性和病死率。其潜在机制尚不清楚,这说明了冠状病毒生物学的主要知识空白。在这项研究中,使用非依赖性采集-质谱法分析了 SARS-CoV 和 SARS-CoV-2 感染的人肺上皮细胞系 Calu-3 的蛋白表达。这导致了涵盖四个时间点的 7478 种蛋白质定量的人类细胞感染相关蛋白质组范围表达变化的全面图谱。最值得注意的是,观察到了干扰素 I 型反应的激活,这在几个蛋白质组研究中是出乎意料的。这些数据表明,SARS-CoV-2 引发的干扰素刺激基因表达比 SARS-CoV 强得多,这反映了干扰素敏感性已描述的差异。可能是 SARS-CoV 中病毒 M 蛋白的丰度增加所致,而 SARS-CoV-2 是一种已知的 I 型干扰素表达抑制剂。这项研究使用感染模型在全球范围内扩展了对 SARS-CoV-2 感染的宿主反应的知识,该模型似乎非常适合分析先天免疫。