Evidence map›Paper›PMID 34960817›Full record

ArticleViruses2021

A Novel High-Throughput Nanopore-Sequencing-Based Strategy for Rapid and Automated S-Protein Typing of SARS-CoV-2 Variants.

Gabriel E Wagner, Massimo G Totaro, André Volland, Michaela Lipp, Sabine Saiger, Sabine Lichtenegger, Patrick Forstner, Dorothee von Laer, Gustav Oberdorfer, Ivo Steinmetz

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 24 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Gabriel E WagnerDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0002-5704-3955
Massimo G TotaroDepartment of Biochemistry, Graz University of Technology, 8010 Graz, Austria.ORCID 0000-0002-0277-1410
André VollandDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0003-2805-8215
Michaela LippDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
Sabine SaigerDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
Sabine LichteneggerDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0001-5668-7786
Patrick ForstnerDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.
Dorothee von LaerDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Gustav OberdorferDepartment of Biochemistry, Graz University of Technology, 8010 Graz, Austria.
Ivo SteinmetzDiagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0003-0510-7336
Medical University of Graz · ATGraz University of Technology · ATInnsbruck Medical University · AT

Funding

Austrian Science Fund FWF P 30826MGT and GO are supported by a grant from the Austrian Science Fund (FWF) P 30826
6 · The paper itself

Abstract

Rapid molecular surveillance of SARS-CoV-2 S-protein variants leading to immune escape and/or increased infectivity is of utmost importance. Among global bottlenecks for variant monitoring in diagnostic settings are sequencing and bioinformatics capacities. In this study, we aimed to establish a rapid and user-friendly protocol for high-throughput S-gene sequencing and subsequent automated identification of variants. We designed two new primer pairs to amplify only the immunodominant part of the S-gene for nanopore sequencing. Furthermore, we developed an automated "S-Protein-Typer" tool that analyzes and reports S-protein mutations on the amino acid level including a variant of concern indicator. Validation of our primer panel using SARS-CoV-2-positive respiratory specimens covering a broad C

Indexed as

COVID-19Epidemiological MonitoringGenotypeHigh-Throughput Nucleotide SequencingHumansImmune EvasionMutationNanopore SequencingSARS-CoV-2Spike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2nanoporenext-generation sequencingSARS-CoV-2S-proteinsurveillancetypingvaccine escape

Identifiers

PMID34960817
PMCPMC8704619
OpenAlexW4200269518

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.