Evidence map›Paper›PMID 34112887›Full record

ReviewCommunications biology2021

I(nsp1)ecting SARS-CoV-2-ribosome interactions.

Matthieu Simeoni, Théo Cavinato, Daniel Rodriguez, David Gatfield

Abstract readReview
In one paragraph

Review in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Structure-function mapping and mechanistic insights on the SARS CoV2 Nsp1.Protein science : a publication of the Protein Society · 2024
    Article
  7. SARS-CoV2 Nsp1 is a metal-dependent DNA and RNA endonuclease.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthieu Simeoni *Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Théo Cavinato *Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Daniel Rodriguez *Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
David GatfieldCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland. david.gatfield@unil.ch.ORCID 0000-0001-5114-2824

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 179190
6 · The paper itself

Abstract

While SARS-CoV-2 is causing modern human history's most serious health crisis and upending our way of life, clinical and basic research on the virus is advancing rapidly, leading to fascinating discoveries. Two studies have revealed how the viral virulence factor, nonstructural protein 1 (Nsp1), binds human ribosomes to inhibit host cell translation. Here, we examine the main conclusions on the molecular activity of Nsp1 and its role in suppressing innate immune responses. We discuss different scenarios potentially explaining how the viral RNA can bypass its own translation blockage and speculate on the suitability of Nsp1 as a therapeutic target.

Indexed as

5' Untranslated RegionsGene Expression Regulation, ViralHost-Pathogen InteractionsHumansImmunity, InnateProtein BiosynthesisRibosomesRNA, MessengerSARS-CoV-2Viral Nonstructural Proteins5' Untranslated RegionsORF1ab polyprotein, SARS-CoV-2RNA, MessengerViral Nonstructural Proteins

Identifiers

PMID34112887
PMCPMC8192748

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.