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Deciphering and targeting host factors to counteract SARS-CoV-2 and coronavirus infections: insights from CRISPR approaches.
Cui, Zhifen; Wang, Hongyan; Dong, Yizhou; Liu, Shan-Lu; Wang, Qianben.
Afiliação
  • Cui Z; Department of Pathology, Duke University School of Medicine, Durham, NC, United States.
  • Wang H; Department of Pathology, Duke University School of Medicine, Durham, NC, United States.
  • Dong Y; Department of Oncological Sciences, Icahn Genomics Institute, Precision Immunology Institute, Tisch Cancer Institute, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Liu SL; Center for Retrovirus Research, Viruses and Emerging Pathogens Program, Department of Veterinary Biosciences, Infectious Diseases Institute, The Ohio State University, Columbus, OH, United States.
  • Wang Q; Department of Pathology, Duke University School of Medicine, Durham, NC, United States.
Front Genome Ed ; 5: 1231656, 2023.
Article em En | MEDLINE | ID: mdl-37520399
Severe respiratory syndrome coronavirus 2 (SARS-CoV-2) and other coronaviruses depend on host factors for the process of viral infection and replication. A better understanding of the dynamic interplay between viral pathogens and host cells, as well as identifying of virus-host dependencies, offers valuable insights into disease mechanisms and informs the development of effective therapeutic strategies against viral infections. This review delves into the key host factors that facilitate or hinder SARS-CoV-2 infection and replication, as identified by CRISPR/Cas9-based screening platforms. Furthermore, we explore CRISPR/Cas13-based gene therapy strategies aimed at targeting these host factors to inhibit viral infection, with the ultimate goal of eradicating SARS-CoV-2 and preventing and treating related coronaviruses for future outbreaks.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article