Evidence map›Paper›PMID 35429230›Full record

ReviewFEBS open bio2022

Viral and cellular translation during SARS-CoV-2 infection.

Gilbert Eriani, Franck Martin

Open access · goldAbstract readReview
In one paragraph

Review in FEBS open bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Molecular signaling in coinfection: howFrontiers in immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Host mitochondria: more than an organelle in SARS-CoV-2 infection.Frontiers in cellular and infection microbiology · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Article
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

2 authors at 1 institution in 1 country.

Gilbert ErianiArchitecture et Réactivité de l'ARN, CNRS UPR9002, Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg, France.
Franck MartinArchitecture et Réactivité de l'ARN, CNRS UPR9002, Institut de Biologie Moléculaire et Cellulaire, Université de Strasbourg, France.ORCID 0000-0001-9724-4025
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is a betacoronavirus that emerged in China in December 2019 and which is the causative agent of the Covid-19 pandemic. This enveloped virus contains a large positive-sense single-stranded RNA genome. In this review, we summarize the current knowledge on the molecular mechanisms for the translation of both viral transcripts and cellular messenger RNAs. Non-structural proteins are encoded by the genomic RNA and are produced in the early steps of infection. In contrast, the structural proteins are produced from subgenomic RNAs that are translated in the late phase of the infectious program. Non-structural protein 1 (NSP1) is a key molecule that regulates both viral and cellular translation. In addition, NSP1 interferes with multiple steps of the interferon I pathway and thereby blocks host antiviral responses. Therefore, NSP1 is a drug target of choice for the development of antiviral therapies.

Indexed as

COVID-19Antiviral AgentsHumansPandemicsRNA, MessengerSARS-CoV-2Viral Nonstructural ProteinsAntiviral AgentsRNA, MessengerViral Nonstructural Proteinsimmune responseinterferonNSP1-SL1ribosomeSARS-CoV-2translation

Identifiers

PMID35429230
PMCPMC9110871
OpenAlexW4224021450

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.