Evidence map›Paper›PMID 34035246›Full record

ArticleNature communications2021

Multiplexed detection of SARS-CoV-2 and other respiratory infections in high throughput by SARSeq.

Ramesh Yelagandula, Aleksandr Bykov, Alexander Vogt, Robert Heinen, Ezgi Özkan, Marcus Martin Strobl, Juliane Christina Baar, Kristina Uzunova, Bence Hajdusits, Darja Kordic and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.7field-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

25 citing papers in PubMed, 56 citations in OpenAlex.

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  7. Genomic surveillance of SARS-CoV-2 evolution by a centralised pipeline and weekly focused sequencing, Austria, January 2021 to March 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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  18. A better normal in Canada will need a better detection system for emerging and re-emerging respiratory pathogens.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 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

23 authors at 10 institutions in 3 countries.

Ramesh YelagandulaInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0001-7418-4322
Aleksandr BykovResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0003-4532-9865
Alexander VogtVienna Biocenter Core Facilities GmbH (VBCF), Vienna, Austria.
Robert HeinenInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
Ezgi ÖzkanResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.
Marcus Martin StroblInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
Juliane Christina BaarInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0002-6949-282X
Kristina UzunovaInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
Bence HajdusitsResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.
Darja KordicResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.
Erna SuljicClinical Center of the University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Amina Kurtovic-KozaricClinical Center of the University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Sebija IzetbegovicClinical Center of the University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Justine SchaefferÖsterreichische Agentur für Gesundheit und Ernährungssicherheit (AGES), Vienna, Austria.
Peter HufnaglÖsterreichische Agentur für Gesundheit und Ernährungssicherheit (AGES), Vienna, Austria.
Alexander ZoufalyDepartment for Infectious Diseases, Clinic Favoriten, Vienna, Austria.ORCID 0000-0002-3329-7088
Tamara SeitzDepartment for Infectious Diseases, Clinic Favoriten, Vienna, Austria.
VCDI
Manuela FödingerFaculty of Medicine, Sigmund Freud Private University, Vienna, Austria.
Franz AllerbergerÖsterreichische Agentur für Gesundheit und Ernährungssicherheit (AGES), Vienna, Austria.ORCID 0000-0002-0045-8164
Alexander StarkResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0003-2611-0841
Luisa CochellaResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria. cochella@imp.ac.at.ORCID 0000-0003-4018-7722
Ulrich EllingInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna BioCenter (VBC), Vienna, Austria. ulrich.elling@imba.oeaw.ac.at.ORCID 0000-0002-4514-2809
Research Institute of Molecular Pathology · ATInstitute of Molecular Biotechnology · ATVienna Biocenter · ATMax Perutz Labs · ATUniversity of Vienna · ATGesundheit Österreich · ATGregor Mendel Institute of Molecular Plant Biology · ATSigmund Freud Privatuniversität Wien · ATUniversity of Sarajevo · BABOKU University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has demonstrated the need for massively-parallel, cost-effective tests monitoring viral spread. Here we present SARSeq, saliva analysis by RNA sequencing, a method to detect SARS-CoV-2 and other respiratory viruses on tens of thousands of samples in parallel. SARSeq relies on next generation sequencing of multiple amplicons generated in a multiplexed RT-PCR reaction. Two-dimensional, unique dual indexing, using four indices per sample, enables unambiguous and scalable assignment of reads to individual samples. We calibrate SARSeq on SARS-CoV-2 synthetic RNA, virions, and hundreds of human samples of various types. Robustness and sensitivity were virtually identical to quantitative RT-PCR. Double-blinded benchmarking to gold standard quantitative-RT-PCR performed by human diagnostics laboratories confirms this high sensitivity. SARSeq can be used to detect Influenza A and B viruses and human rhinovirus in parallel, and can be expanded for detection of other pathogens. Thus, SARSeq is ideally suited for differential diagnostic of infections during a pandemic.

Indexed as

Clinical Laboratory TechniquesHigh-Throughput Screening AssaysCOVID-19Diagnosis, DifferentialHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionRespiratory Tract InfectionsRNA, ViralSalivaSARS-CoV-2Sensitivity and SpecificityViral ProteinsVirusesRNA, ViralViral Proteins

Identifiers

PMID34035246
PMCPMC8149640
OpenAlexW3164872286

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.