4.6 Article

Identification of Cellular Factors Required for SARS-CoV-2 Replication

期刊

CELLS
卷 10, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/cells10113159

关键词

SARS-CoV-2; coronavirus; CRISPR-Cas9; cellular factors; mechanisms of infection; viral pathogenesis

资金

  1. Polish Ministry of Science and Higher Education
  2. National Science Center

向作者/读者索取更多资源

SARS-CoV-2, the pathogen responsible for COVID-19, presents a wide range of clinical manifestations and possesses the ability to infect multiple species. Understanding the host-virus interactions may aid in the development of antiviral agents. A study utilizing a CRISPR-Cas9 knock-out system provided insights into the replication mechanisms of SARS-CoV-2.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the recently emerged virus responsible for the COVID-19 pandemic. Clinical presentation can range from asymptomatic disease and mild respiratory tract infection to severe disease with lung injury, multiorgan failure, and death. SARS-CoV-2 is the third animal coronavirus to emerge in humans in the 21st century, and coronaviruses appear to possess a unique ability to cross borders between species and infect a wide range of organisms. This is somewhat surprising as, except for the requirement of host cell receptors, cell-pathogen interactions are usually species-specific. Insights into these host-virus interactions will provide a deeper understanding of the process of SARS-CoV-2 infection and provide a means for the design and development of antiviral agents. In this study, we describe a complex analysis of SARS-CoV-2 infection using a genome-wide CRISPR-Cas9 knock-out system in HeLa cells overexpressing entry receptor angiotensin-converting enzyme 2 (ACE2). This platform allows for the identification of factors required for viral replication. This study was designed to include a high number of replicates (48 replicates; 16 biological repeats with 3 technical replicates each) to prevent data instability, remove sources of bias, and allow multifactorial bioinformatic analyses in order to study the resulting interaction network. The results obtained provide an interesting insight into the replication mechanisms of SARS-CoV-2.

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