Evidence map›Paper›PMID 32725137›Full record

ReviewThe Journal of cell biology2020

Role of the early secretory pathway in SARS-CoV-2 infection.

Daria Sicari, Aristotelis Chatziioannou, Theodoros Koutsandreas, Roberto Sitia, Eric Chevet

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in The Journal of cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 8% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  13. Protein homeostasis imprinting across evolution.NAR genomics and bioinformatics · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Daria SicariInserm U1242, Université de Rennes, Rennes, France.
Aristotelis Chatziioannoue-NIOS Applications PC, Kallithea-Athens, Greece.
Theodoros Koutsandrease-NIOS Applications PC, Kallithea-Athens, Greece.
Roberto SitiaUniversità Vita-Salute San Raffaele, Milan, Italy.
Eric ChevetInserm U1242, Université de Rennes, Rennes, France.
Vita-Salute San Raffaele University · ITBiomedical Research Foundation of the Academy of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similar to other RNA viruses, SARS-CoV-2 must (1) enter a target/host cell, (2) reprogram it to ensure its replication, (3) exit the host cell, and (4) repeat this cycle for exponential growth. During the exit step, the virus hijacks the sophisticated machineries that host cells employ to correctly fold, assemble, and transport proteins along the exocytic pathway. Therefore, secretory pathway-mediated assemblage and excretion of infective particles represent appealing targets to reduce the efficacy of virus biogenesis, if not to block it completely. Here, we analyze and discuss the contribution of the molecular machines operating in the early secretory pathway in the biogenesis of SARS-CoV-2 and their relevance for potential antiviral targeting. The fact that these molecular machines are conserved throughout evolution, together with the redundancy and tissue specificity of their components, provides opportunities in the search for unique proteins essential for SARS-CoV-2 biology that could also be targeted with therapeutic objectives. Finally, we provide an overview of recent evidence implicating proteins of the early secretory pathway as potential antiviral targets with effective therapeutic applications.

Indexed as

Antiviral AgentsBetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2Secretory PathwayVirus ReplicationAntiviral Agents

Identifiers

PMID32725137
PMCPMC7480111
OpenAlexW3045775815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.