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SARS-CoV-2 viral budding and entry can be modeled using virus-like particles.

Caroline B PlesciaEmily A DavidDhabaleswar PatraRanjan SenguptaSouad AmiarYuan SuRobert V Stahelin
Published in: bioRxiv : the preprint server for biology (2020)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first discovered in December 2019 in Wuhan, China and expeditiously spread across the globe causing a global pandemic. While a select agent designation has not been made for SARS-CoV-2, closely related SARS-CoV-1 and MERS coronaviruses are classified as Risk Group 3 select agents, which restricts use of the live viruses to BSL-3 facilities. Such BSL-3 classification make SARS-CoV-2 research inaccessible to the majority of functioning research laboratories in the US; this becomes problematic when the collective scientific effort needs to be focused on such in the face of a pandemic. In this work, we assessed the four structural proteins from SARS-CoV-2 for their ability to form viruslike particles (VLPs) from human cells to form a competent system for BSL-2 studies of SARS-CoV-2. Herein, we provide methods and resources of producing, purifying, fluorescently and APEX2-labeling of SARS-CoV-2 VLPs for the evaluation of mechanisms of viral budding and entry as well as assessment of drug inhibitors under BSL-2 conditions.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • coronavirus disease
  • emergency department
  • machine learning
  • deep learning
  • adverse drug