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Cited by 319

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Rapid assessment of SARS-CoV-2–evolved variants using virus-like particles

Open access
Syed, Abdullah M., Taha, Taha Y., Tabata, Takako, Chen, Irene P., Ciling, Alison, Khalid, Mir M., Sreekumar, Bharath, Chen, Pei-Yi, Hayashi, Jennifer M., Soczek, Katarzyna M., Ott, Melanie, Doudna, Jennifer A.·2021·Science

Abstract

A tool to probe SARS-CoV-2 biology: To develop therapies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and emerging variants, it is important to understand the viral biology and the effect of mutations. However, this is challenging because live virus can only be studied in a few laboratories that meet stringent safety standards. Syed et al . describe a virus-like particle (VLP) that comprises the four SARS-CoV-2 structural proteins, but instead of packaging viral RNA, it packages messenger RNA (mRNA) that expresses a reporter protein (see the Perspective by Johnson and Menachery). The amount of reporter expressed in receiver cells depends on the efficiency of packaging and assembly in the producer cells and the efficiency of entry into receiver cells. Mutations in the nucleocapsid protein that are found in more transmissible variants increase mRNA packaging and expression. The VLPs provide a platform for studying the effect of mutations in the structural proteins and for screening therapeutics. —VV

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Metadata

Authors
Syed, A. M., Taha, T. Y., Tabata, T., Chen, I. P., Ciling, A., Khalid, M. M., Sreekumar, B., Chen, P.-Y., Hayashi, J. M., Soczek, K. M., Ott, M., & Doudna, J. A.
Venue
Science
Published
2021-12-24
Volume
374
Issue
6575
Pages
1626-1632
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3210408195
Cited by
319
References
33
FWCI
18.88
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Rapid assessment of SARS-CoV-2–evolved variants using virus-like particles. https://app.cochat.ai/papers/10.1126/science.abl6184
The paper
Syed, A. M., Taha, T. Y., Tabata, T., Chen, I. P., Ciling, A., Khalid, M. M., Sreekumar, B., Chen, P.-Y., Hayashi, J. M., Soczek, K. M., Ott, M., & Doudna, J. A. (2021). Rapid assessment of SARS-CoV-2–evolved variants using virus-like particles. Science. https://doi.org/10.1126/science.abl6184

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.