A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2

Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.

Bibliographic Details
Main Authors: Marie-Ming Aynaud, J. Javier Hernandez, Seda Barutcu, Ulrich Braunschweig, Kin Chan, Joel D. Pearson, Daniel Trcka, Suzanna L. Prosser, Jaeyoun Kim, Miriam Barrios-Rodiles, Mark Jen, Siyuan Song, Jess Shen, Christine Bruce, Bryn Hazlett, Susan Poutanen, Liliana Attisano, Rod Bremner, Benjamin J. Blencowe, Tony Mazzulli, Hong Han, Laurence Pelletier, Jeffrey L. Wrana
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21653-y
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spelling doaj-ac044901fa7a4d629bfedd519a0399c22021-03-11T11:33:53ZengNature Publishing GroupNature Communications2041-17232021-03-0112111010.1038/s41467-021-21653-yA multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2Marie-Ming Aynaud0J. Javier Hernandez1Seda Barutcu2Ulrich Braunschweig3Kin Chan4Joel D. Pearson5Daniel Trcka6Suzanna L. Prosser7Jaeyoun Kim8Miriam Barrios-Rodiles9Mark Jen10Siyuan Song11Jess Shen12Christine Bruce13Bryn Hazlett14Susan Poutanen15Liliana Attisano16Rod Bremner17Benjamin J. Blencowe18Tony Mazzulli19Hong Han20Laurence Pelletier21Jeffrey L. Wrana22Lunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalDonnelly Centre for Cellular and Biomolecular Research, University of TorontoLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalDonnelly Centre for Cellular and Biomolecular Research, University of TorontoLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalDepartment of Microbiology, Mount Sinai Hospital/University Health NetworkDepartment of Microbiology, Mount Sinai Hospital/University Health NetworkDepartment of Microbiology, Mount Sinai Hospital/University Health NetworkDonnelly Centre for Cellular and Biomolecular Research, University of TorontoLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalDonnelly Centre for Cellular and Biomolecular Research, University of TorontoDepartment of Microbiology, Mount Sinai Hospital/University Health NetworkDonnelly Centre for Cellular and Biomolecular Research, University of TorontoLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalLunenfeld-Tanenbaum Research Institute, Mount Sinai HospitalWide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.https://doi.org/10.1038/s41467-021-21653-y
collection DOAJ
language English
format Article
sources DOAJ
author Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
spellingShingle Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
Nature Communications
author_facet Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
author_sort Marie-Ming Aynaud
title A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_short A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_full A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_fullStr A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_full_unstemmed A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_sort multiplexed, next generation sequencing platform for high-throughput detection of sars-cov-2
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-03-01
description Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.
url https://doi.org/10.1038/s41467-021-21653-y
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