Evidence map›Paper›PMID 35229157›Full record

ArticleBriefings in bioinformatics2022

Unheeded SARS-CoV-2 proteins? A deep look into negative-sense RNA.

Martin Bartas, Adriana Volná, Christopher A Beaudoin, Ebbe Toftgaard Poulsen, Jiří Červeň, Václav Brázda, Vladimír Špunda, Tom L Blundell, Petr Pečinka

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Are There Hidden Genes in DNA/RNA Vaccines?Frontiers in immunology · 2022
    Article
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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

9 authors at 4 institutions in 3 countries.

Martin BartasDepartment of Biology and Ecology, University of Ostrava, Ostrava 710 00, Czech Republic.ORCID 0000-0002-4415-2220
Adriana VolnáDepartment of Physics, University of Ostrava, Ostrava 710 00, Czech Republic.
Christopher A BeaudoinDepartment of Biochemistry, Sanger Building, University of Cambridge, Tennis Court Rd, Cambridge CB2 1GA, UK.ORCID 0000-0002-0232-0281
Ebbe Toftgaard PoulsenDepartment of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark.
Jiří ČerveňDepartment of Biology and Ecology, University of Ostrava, Ostrava 710 00, Czech Republic.
Václav BrázdaInstitute of Biophysics, Czech Academy of Sciences, Brno, 612 65, Czech Republic.
Vladimír ŠpundaDepartment of Physics, University of Ostrava, Ostrava 710 00, Czech Republic.
Tom L BlundellDepartment of Biochemistry, Sanger Building, University of Cambridge, Tennis Court Rd, Cambridge CB2 1GA, UK.
Petr PečinkaDepartment of Biology and Ecology, University of Ostrava, Ostrava 710 00, Czech Republic.
University of Ostrava · CZUniversity of Cambridge · GBAarhus University · DKCzech Academy of Sciences, Institute of Biophysics · CZ

Funding

Wellcome TrustWellcome Trust 200814/Z/16/Z
6 · The paper itself

Abstract

SARS-CoV-2 is a novel positive-sense single-stranded RNA virus from the Coronaviridae family (genus Betacoronavirus), which has been established as causing the COVID-19 pandemic. The genome of SARS-CoV-2 is one of the largest among known RNA viruses, comprising of at least 26 known protein-coding loci. Studies thus far have outlined the coding capacity of the positive-sense strand of the SARS-CoV-2 genome, which can be used directly for protein translation. However, it has been recently shown that transcribed negative-sense viral RNA intermediates that arise during viral genome replication from positive-sense viruses can also code for proteins. No studies have yet explored the potential for negative-sense SARS-CoV-2 RNA intermediates to contain protein-coding loci. Thus, using sequence and structure-based bioinformatics methodologies, we have investigated the presence and validity of putative negative-sense ORFs (nsORFs) in the SARS-CoV-2 genome. Nine nsORFs were discovered to contain strong eukaryotic translation initiation signals and high codon adaptability scores, and several of the nsORFs were predicted to interact with RNA-binding proteins. Evolutionary conservation analyses indicated that some of the nsORFs are deeply conserved among related coronaviruses. Three-dimensional protein modeling revealed the presence of higher order folding among all putative SARS-CoV-2 nsORFs, and subsequent structural mimicry analyses suggest similarity of the nsORFs to DNA/RNA-binding proteins and proteins involved in immune signaling pathways. Altogether, these results suggest the potential existence of still undescribed SARS-CoV-2 proteins, which may play an important role in the viral lifecycle and COVID-19 pathogenesis.

Indexed as

COVID-19SARS-CoV-2Genome, ViralHumansPandemicsRNA-Binding ProteinsRNA, ViralRNA-Binding ProteinsRNA, ViralKozak sequenceORFsproteomicsRNASARS-CoV-2structures

Identifiers

PMID35229157
PMCPMC9116216
OpenAlexW4213422601

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.