Evidence map›Paper›PMID 36368344›Full record

ArticleJournal of virological methods2023

SpikeSeq: A rapid, cost efficient and simple method to identify SARS-CoV-2 variants of concern by Sanger sequencing part of the spike protein gene.

Tue Sparholt Jørgensen, Martin Schou Pedersen, Kai Blin, Franziska Kuntke, Henrik K Salling, Rasmus L Marvig, Thomas Y Michaelsen, Mads Albertsen, Helene Larsen

Abstract read
In one paragraph

Article in Journal of virological methods, 2023. 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
–field-weighted citation impact
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.

  1. Enhancing the epidemiological surveillance of SARS-CoV-2 using Sanger sequencing to identify circulating variants and recombinants.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
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  13. A metagenomics workflow for SARS-CoV-2 identification, co-pathogen detection, and overall diversity.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2021
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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.

Tue Sparholt JørgensenThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DTU, Kongens Lyngby 2800, Denmark. Electronic address: tuesparholt@gmail.com.
Martin Schou PedersenDepartment of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen 2100, Denmark.
Kai BlinThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DTU, Kongens Lyngby 2800, Denmark.
Franziska KuntkeCentre for Diagnostics, Department of Health Technology, Technical University of Denmark, DTU, Kongens Lyngby 2800, Denmark.
Henrik K SallingNovo Nordisk A/S, Dept. 609 Virology, Gentofte 2820, Denmark.
Rasmus L MarvigCenter for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen 2100, Denmark.
Thomas Y MichaelsenDepartment of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark.
Mads AlbertsenDepartment of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark.
Helene LarsenCentre for Diagnostics, Department of Health Technology, Technical University of Denmark, DTU, Kongens Lyngby 2800, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2020, the novel coronavirus, SARS-CoV-2, caused a pandemic, which is still raging at the time of writing this. Here, we present results from SpikeSeq, the first published Sanger sequencing-based method for the detection of Variants of Concern (VOC) and key mutations, using a 1 kb amplicon from the recognized ARTIC Network primers. The proposed setup relies entirely on materials and methods already in use in diagnostic RT-qPCR labs and on existing commercial infrastructure offering sequencing services. For data analysis, we provide an automated, open source, and browser-based mutation calling software (https://github.com/kblin/covid-spike-classification, https://ssi.biolib.com/covid-spike-classification). We validated the setup on 195 SARS-CoV-2 positive samples, and we were able to profile 85% of RT-qPCR positive samples, where the last 15% largely stemmed from samples with low viral count. We compared the SpikeSeq results to WGS results. SpikeSeq has been used as the primary variant identification tool on > 10.000 SARS-CoV-2 positive clinical samples during 2021. At approximately 4€ per sample in material cost, minimal hands-on time, little data handling, and a short turnaround time, the setup is simple enough to be implemented in any SARS-CoV-2 RT-qPCR diagnostic lab. Our protocol provides results that can be used to choose antibodies in a clinical setting and for the tracking and surveillance of all positive samples for new variants and known ones such as Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1) Delta (B.1.617.2), Omicron BA.1(B.1.1.529), BA.2, BA.4/5, BA.2.75.x, and many more, as of October 2022.

Indexed as

COVID-19SARS-CoV-2HumansMutationSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2BA.1BA.2BA.2.75.xBA.4/5Contact tracingCoronavirusCoVCOVID-19MutationsOmicronProfilingSARS-CoV-2SequencingSpike proteinSurveillanceVariants of concern

Identifiers

PMID36368344
PMCPMC9642040

What OpenQuestion holds

Textmetadata
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.