Evidence map›Paper›PMID 33781803›Full record

ArticleAntiviral research2021

Proteomic analysis identifies the RNA helicase DDX3X as a host target against SARS-CoV-2 infection.

Fabiola Ciccosanti, Martina Di Rienzo, Alessandra Romagnoli, Francesca Colavita, Giulia Refolo, Concetta Castilletti, Chiara Agrati, Annalaura Brai, Fabrizio Manetti, Lorenzo Botta and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Antiviral research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 52 citations in OpenAlex.

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  4. RNA helicase DDX3X promotes NK cell survival by supporting MCL1 expression.Journal of immunology (Baltimore, Md. : 1950) · 2025
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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

14 authors at 5 institutions in 2 countries.

Fabiola CiccosantiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Martina Di RienzoDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Alessandra RomagnoliDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Francesca ColavitaDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Giulia RefoloDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Concetta CastillettiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Chiara AgratiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Annalaura BraiDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy.
Fabrizio ManettiDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy.
Lorenzo BottaDepartment of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy.
Maria Rosaria CapobianchiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Giuseppe IppolitoDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy.
Mauro PiacentiniDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy; Department of Biology, University of Rome 'Tor Vergata', Rome, Italy. Electronic address: mauro.piacentini@uniroma2.it.
Gian Maria FimiaDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Rome, Italy; Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy. Electronic address: gianmaria.fimia@inmi.it.
Istituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Siena · ITCenter for Prevention and Treatment of Infections · USUniversità degli Studi della Tuscia · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is currently a highly pressing health threat and therapeutic strategies to mitigate the infection impact are urgently needed. Characterization of the SARS-CoV-2 interactome in infected cells may represent a powerful tool to identify cellular proteins hijacked by viruses for their life cycle and develop host-oriented antiviral therapeutics. Here we report the proteomic characterization of host proteins interacting with SARS-CoV-2 Nucleoprotein in infected Vero E6 cells. We identified 24 high-confidence proteins mainly playing a role in RNA metabolism and translation, including RNA helicases and scaffold proteins involved in the formation of stress granules, cytoplasmic aggregates of messenger ribonucleoproteins that accumulate as a result of stress-induced translation arrest. Analysis of stress granules upon SARS-CoV-2 infection showed that these structures are not induced in infected cells, neither eIF2α phosphorylation, an upstream event leading to stress-induced translation inhibition. Notably, we found that G3BP1, a stress granule component that associates with the Nucleoprotein, is required for efficient SARS-CoV-2 replication. Moreover, we showed that the Nucleoprotein-interacting RNA helicase DDX3X colocalizes with viral RNA foci and its inhibition by small molecules or small interfering RNAs significantly reduces viral replication. Altogether, these results indicate that SARS-CoV-2 subverts the stress granule machinery and exploits G3BP1 and DDX3X for its replication cycle, offering groundwork for future development of host-directed therapies.

Indexed as

COVID-19 Drug TreatmentAnimalsAntiviral AgentsCell LineChlorocebus aethiopsCOVID-19DEAD-box RNA HelicasesDNA HelicasesEukaryotic Initiation Factor-2Host-Pathogen InteractionsHumansPoly-ADP-Ribose Binding ProteinsProteomicsRNA HelicasesRNA Recognition Motif ProteinsRNA, Small InterferingAntiviral AgentsDDX3X protein, humanDEAD-box RNA HelicasesDNA HelicasesEukaryotic Initiation Factor-2G3BP1 protein, humanPoly-ADP-Ribose Binding ProteinsRNA HelicasesRNA Recognition Motif ProteinsRNA, Small InterferingRNA, ViralAntiviral drugsCOVID-19DEAD RNA helicaseG3BP1ProteomicsStress granules

Identifiers

PMID33781803
PMCPMC7997689
OpenAlexW3141081403

What OpenQuestion holds

Textmetadata
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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.