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LAMP-Seq enables sensitive, multiplexed COVID-19 diagnostics using molecular barcoding

Authors :
Kerstin U, Ludwig
Ricarda M, Schmithausen
David, Li
Max L, Jacobs
Ronja, Hollstein
Katja, Blumenstock
Jana, Liebing
Mikołaj, Słabicki
Amir, Ben-Shmuel
Ofir, Israeli
Shay, Weiss
Thomas S, Ebert
Nir, Paran
Wibke, Rüdiger
Gero, Wilbring
David, Feldman
Bärbel, Lippke
Nina, Ishorst
Lara M, Hochfeld
Eva C, Beins
Ines H, Kaltheuner
Maximilian, Schmitz
Aliona, Wöhler
Manuel, Döhla
Esther, Sib
Marius, Jentzsch
Eva-Maria C, Moench
Jacob D, Borrajo
Jonathan, Strecker
Julia, Reinhardt
Brian, Cleary
Matthias, Geyer
Michael, Hölzel
Rhiannon, Macrae
Markus M, Nöthen
Per, Hoffmann
Martin, Exner
Aviv, Regev
Feng, Zhang
Jonathan L, Schmid-Burgk
Source :
Nature biotechnology. 39(12)
Publication Year :
2020

Abstract

Frequent testing of large population groups combined with contact tracing and isolation measures will be crucial for containing Coronavirus Disease 2019 outbreaks. Here we present LAMP-Seq, a modified, highly scalable reverse transcription loop-mediated isothermal amplification (RT-LAMP) method. Unpurified biosamples are barcoded and amplified in a single heat step, and pooled products are analyzed en masse by sequencing. Using commercial reagents, LAMP-Seq has a limit of detection of ~2.2 molecules per µl at 95% confidence and near-perfect specificity for severe acute respiratory syndrome coronavirus 2 given its sequence readout. Clinical validation of an open-source protocol with 676 swab samples, 98 of which were deemed positive by standard RT-qPCR, demonstrated 100% sensitivity in individuals with cycle threshold values of up to 33 and a specificity of 99.7%, at a very low material cost. With a time-to-result of fewer than 24 h, low cost and little new infrastructure requirement, LAMP-Seq can be readily deployed for frequent testing as part of an integrated public health surveillance program.

Details

ISSN :
15461696
Volume :
39
Issue :
12
Database :
OpenAIRE
Journal :
Nature biotechnology
Accession number :
edsair.pmid..........ccf6f7297617246bb589898e046580d1