Rxivist logo

The insert sequence in SARS-CoV-2 enhances spike protein cleavage by TMPRSS

By Tong Meng, Hao Cao, Hao Zhang, Zijian Kang, Da Xu, Haiyi Gong, Jing Wang, Zifu Li, Xingang Cui, Huji Xu, Haifeng Wei, Xiuwu Pan, Rongrong Zhu, Jianru Xiao, Wang Zhou, Liming Cheng, Jianmin Liu

Posted 11 Feb 2020
bioRxiv DOI: 10.1101/2020.02.08.926006

At the end of 2019, the SARS-CoV-2 induces an ongoing outbreak of pneumonia in China[1][1], even more spread than SARS-CoV infection[2][2]. The entry of SARS-CoV into host cells mainly depends on the cell receptor (ACE2) recognition and spike protein cleavage-induced cell membrane fusion[3][3],[4][4]. The spike protein of SARS-CoV-2 also binds to ACE2 with a similar affinity, whereas its spike protein cleavage remains unclear[5][5],[6][6]. Here we show that an insertion sequence in the spike protein of SARS-CoV-2 enhances the cleavage efficiency, and besides pulmonary alveoli, intestinal and esophagus epithelium were also the target tissues of SARS-CoV-2. Compared with SARS-CoV, we found a SPRR insertion in the S1/S2 protease cleavage sites of SARS-CoV-2 spike protein increasing the cleavage efficiency by the protein sequence aligment and furin score calculation. Additionally, the insertion sequence facilitates the formation of an extended loop which was more suitable for protease recognition by the homology modeling and molicular docking. Furthermore, the single-cell transcriptomes identified that ACE2 and TMPRSSs are highly coexpressed in AT2 cells of lung, along with esophageal upper epithelial cells and absorptive enterocytes. Our results provide the bioinformatics evidence for the increased spike protein cleavage of SARS-CoV-2 and indicate its potential target cells. [1]: #ref-1 [2]: #ref-2 [3]: #ref-3 [4]: #ref-4 [5]: #ref-5 [6]: #ref-6

Download data

  • Downloaded 9,559 times
  • Download rankings, all-time:
    • Site-wide: 1,413
    • In microbiology: 129
  • Year to date:
    • Site-wide: 24,223
  • Since beginning of last month:
    • Site-wide: 99,907

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News