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GPI-anchored ligand-BioID2-tagging system identifies Galectin-1 mediating Zika virus entry.
Gao, Shan-Shan; Shi, Run; Sun, Jing; Tang, Yanhong; Zheng, Zhenhua; Li, Jing-Feng; Li, Huan; Zhang, Jie; Leng, Qibin; Xu, Jiang; Chen, Xinwen; Zhao, Jincun; Sy, Man-Sun; Feng, Liqiang; Li, Chaoyang.
Afiliação
  • Gao SS; Wuhan Institute of Virology, Chinese Academy of Sciences, 44 Xiao Hong Shan Zhong Qu, Wuhan 430071, China.
  • Shi R; University of Chinese Academy of Sciences, Beijing 10000, China.
  • Sun J; Affiliated Cancer Hospital and Institute of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Key Laboratory for Cell Homeostasis and Cancer Research of Guangdong High Education Institute, 78 Heng Zhi Gang Road, Guangzhou 510095, China.
  • Tang Y; Affiliated Cancer Hospital and Institute of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Key Laboratory for Cell Homeostasis and Cancer Research of Guangdong High Education Institute, 78 Heng Zhi Gang Road, Guangzhou 510095, China.
  • Zheng Z; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China.
  • Li JF; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China.
  • Li H; Wuhan Institute of Virology, Chinese Academy of Sciences, 44 Xiao Hong Shan Zhong Qu, Wuhan 430071, China.
  • Zhang J; Wuhan Institute of Virology, Chinese Academy of Sciences, 44 Xiao Hong Shan Zhong Qu, Wuhan 430071, China.
  • Leng Q; Affiliated Cancer Hospital and Institute of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Key Laboratory for Cell Homeostasis and Cancer Research of Guangdong High Education Institute, 78 Heng Zhi Gang Road, Guangzhou 510095, China.
  • Xu J; Affiliated Cancer Hospital and Institute of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Key Laboratory for Cell Homeostasis and Cancer Research of Guangdong High Education Institute, 78 Heng Zhi Gang Road, Guangzhou 510095, China.
  • Chen X; Department of Stomatology, First Affiliated Hospital, School of Medicine, Shihezi University, No. 107 North 2nd Road, Shihezi, Xinjiang 832008, China.
  • Zhao J; Affiliated Cancer Hospital and Institute of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Key Laboratory for Cell Homeostasis and Cancer Research of Guangdong High Education Institute, 78 Heng Zhi Gang Road, Guangzhou 510095, China.
  • Sy MS; Department of Stomatology, First Affiliated Hospital, School of Medicine, Shihezi University, No. 107 North 2nd Road, Shihezi, Xinjiang 832008, China.
  • Feng L; Wuhan Institute of Virology, Chinese Academy of Sciences, 44 Xiao Hong Shan Zhong Qu, Wuhan 430071, China.
  • Li C; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China.
iScience ; 25(12): 105481, 2022 Dec 22.
Article em En | MEDLINE | ID: mdl-36404916
ABSTRACT
Identification of host factors facilitating pathogen entry is critical for preventing infectious diseases. Here, we report a tagging system consisting of a viral receptor-binding protein (RBP) linked to BioID2, which is expressed on the cell surface via a GPI anchor. Using VSV or Zika virus (ZIKV) RBP, the system (BioID2- RBP(V)-GPI; BioID2-RBP(Z)-GPI) faithfully identifies LDLR and AXL, the receptors of VSV and ZIKV, respectively. Being GPI-anchored is essential for the probe to function properly. Furthermore, BioID2-RBP(Z)-GPI expressed in human neuronal progenitor cells identifies galectin-1 on cell surface pivotal for ZIKV entry. This conclusion is further supported by antibody blocking and galectin-1 silencing in A549 and mouse neural cells. Importantly, Lgals1 -/- mice are significantly more resistant to ZIKV infection than Lgals1 +/+ littermates are, having significantly lower virus titers and fewer pathologies in various organs. This tagging system may have broad applications for identifying protein-protein interactions on the cell surface.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China