Multiplexed detection of SARS-CoV-2 and other respiratory infections in high throughput by SARSeq.
COVID-19
/ diagnosis
Clinical Laboratory Techniques
Diagnosis, Differential
High-Throughput Nucleotide Sequencing
High-Throughput Screening Assays
Humans
Polymerase Chain Reaction
RNA, Viral
/ genetics
Respiratory Tract Infections
/ diagnosis
SARS-CoV-2
/ genetics
Saliva
/ virology
Sensitivity and Specificity
Viral Proteins
/ genetics
Viruses
/ classification
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
25 05 2021
25 05 2021
Historique:
received:
27
11
2020
accepted:
23
03
2021
entrez:
26
5
2021
pubmed:
27
5
2021
medline:
4
6
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34035246
doi: 10.1038/s41467-021-22664-5
pii: 10.1038/s41467-021-22664-5
pmc: PMC8149640
doi:
Substances chimiques
RNA, Viral
0
Viral Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3132Investigateurs
Mariam Al-Rawi
(M)
Stefan Ameres
(S)
Juliane Baar
(J)
Benedikt Bauer
(B)
Nikolaus Beer
(N)
Katharina Bergauer
(K)
Wolfgang Binder
(W)
Claudia Blaukopf
(C)
Boril Bochev
(B)
Julius Brennecke
(J)
Selina Brinnich
(S)
Aleksandra Bundalo
(A)
Meinrad Busslinger
(M)
Tim Clausen
(T)
Geert de Vries
(G)
Marcus Dekens
(M)
David Drechsel
(D)
Zuzana Dzupinkova
(Z)
Michaela Eckmann-Mader
(M)
Michaela Fellner
(M)
Thomas Fellner
(T)
Laura Fin
(L)
Bianca Valeria Gapp
(BV)
Gerlinde Grabmann
(G)
Irina Grishkovskaya
(I)
Astrid Hagelkruys
(A)
Dominik Handler
(D)
David Haselbach
(D)
Louisa Hempel
(L)
Louisa Hill
(L)
David Hoffmann
(D)
Stefanie Horer
(S)
Harald Isemann
(H)
Robert Kalis
(R)
Max Kellner
(M)
Juliane Kley
(J)
Thomas Köcher
(T)
Alwin Köhler
(A)
Christian Krauditsch
(C)
Sabina Kula
(S)
Sonja Lang
(S)
Richard Latham
(R)
Marie-Christin Leitner
(MC)
Thomas Leonard
(T)
Dominik Lindenhofer
(D)
Raphael Arthur Manzenreither
(RA)
Martin Matl
(M)
Karl Mechtler
(K)
Anton Meinhart
(A)
Stefan Mereiter
(S)
Thomas Micheler
(T)
Paul Moeseneder
(P)
Tobias Neumann
(T)
Simon Nimpf
(S)
Magnus Nordborg
(M)
Egon Ogris
(E)
Michaela Pagani
(M)
Andrea Pauli
(A)
Jan-Michael Peters
(JM)
Petra Pjevac
(P)
Clemens Plaschka
(C)
Martina Rath
(M)
Daniel Reumann
(D)
Sarah Rieser
(S)
Marianne Rocha-Hasler
(M)
Alan Rodriguez
(A)
Nathalie Ropek
(N)
James Julian Ross
(JJ)
Harald Scheuch
(H)
Karina Schindler
(K)
Clara Schmidt
(C)
Hannes Schmidt
(H)
Jakob Schnabl
(J)
Stefan Schüchner
(S)
Tanja Schwickert
(T)
Andreas Sommer
(A)
Daniele Soldoroni
(D)
Johannes Stadlmann
(J)
Peter Steinlein
(P)
Marcus Strobl
(M)
Simon Strobl
(S)
Qiong Sun
(Q)
Wen Tang
(W)
Linda Trübestein
(L)
Johanna Trupke
(J)
Christian Umkehrer
(C)
Sandor Urmosi-Incze
(S)
Gijs Versteeg
(G)
Vivien Vogt
(V)
Michael Wagner
(M)
Martina Weissenboeck
(M)
Barbara Werner
(B)
Johannes Zuber
(J)
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