Evidence map›Paper›PMID 34735219›Full record

ArticleScience (New York, N.Y.)2021

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

Abdullah M Syed, Taha Y Taha, Takako Tabata, Irene P Chen, Alison Ciling, Mir M Khalid, Bharath Sreekumar, Pei-Yi Chen, Jennifer M Hayashi, Katarzyna M Soczek and 2 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

233 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. SARS-CoV-2 S assembly into virions facilitated by host ERM proteins.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article

173 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Abdullah M Syed *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID 0000-0001-9156-9662
Taha Y Taha *Gladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0002-7344-7490
Takako Tabata *Gladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0001-9861-7647
Irene P ChenGladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0002-5766-9253
Alison CilingInnovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
Mir M KhalidGladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0002-1862-6795
Bharath SreekumarGladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0003-2793-1502
Pei-Yi ChenGladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0002-7639-2325
Jennifer M HayashiGladstone Institute of Virology, San Francisco, CA, USA.ORCID 0000-0001-7153-9212
Katarzyna M SoczekInnovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-3803-6079
Melanie OttInnovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0002-5697-1274
Jennifer A DoudnaGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID 0000-0001-9161-999X

Funding

The Human Life Course and the Biodemography of AgingR01AG024119 · NIA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GURVEN, MICHAEL DOUGLAS, KAPLAN, HILLARD S · 2004 to 2015
$7.4M
The Human Life Course and the Biodemography of AgingR56AG024119 · NIA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GURVEN, MICHAEL DOUGLAS, KAPLAN, HILLARD S · 2009 to 2015
$1.0M
Identifying and inhibiting the SARS-CoV-2 packaging mechanismR21AI159666 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI DOUDNA, JENNIFER A · 2021 to 2021
$520k
Suppression of Host Antiviral Responses by a SARS-CoV-2 Histone MimeticF31AI164671 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHEN, IRENE PO-RU · 2021 to 2022
$82k
Howard Hughes Medical InstituteNIAID NIH HHS F31 AI164671NIAID NIH HHS R21 AI159666NIA NIH HHS R01 AG024119NIA NIH HHS R56 AG024119
6 · The paper itself

Abstract

Efforts to determine why new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants demonstrate improved fitness have been limited to analyzing mutations in the spike (S) protein with the use of S-pseudotyped particles. In this study, we show that SARS-CoV-2 virus-like particles (SC2-VLPs) can package and deliver exogenous transcripts, enabling analysis of mutations within all structural proteins and at multiple steps in the viral life cycle. In SC2-VLPs, four nucleocapsid (N) mutations found universally in more-transmissible variants independently increased messenger RNA delivery and expression ~10-fold, and in a reverse genetics model, the serine-202→arginine (S202R) and arginine-203→methionine (R203M) mutations each produced >50 times as much virus. SC2-VLPs provide a platform for rapid testing of viral variants outside of a biosafety level 3 setting and demonstrate N mutations and particle assembly to be mechanisms that could explain the increased spread of variants, including B.1.617.2 (Delta, which contains the R203M mutation).

Indexed as

Artificial Virus-Like ParticlesMutationAnimalsCell LineCoronavirus Envelope ProteinsCoronavirus M ProteinsCoronavirus Nucleocapsid ProteinsEvolution, MolecularGenome, ViralHumansPhosphoproteinsPlasmidsRNA, MessengerSARS-CoV-2Spike Glycoprotein, CoronavirusViral Genome PackagingCoronavirus Envelope ProteinsCoronavirus M ProteinsCoronavirus Nucleocapsid Proteinsenvelope protein, SARS-CoV-2membrane protein, SARS-CoV-2nucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsRNA, MessengerSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral Matrix Proteins

Identifiers

PMID34735219
PMCPMC9005165

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.