Literature DB >> 34211145

Massively scaled-up testing for SARS-CoV-2 RNA via next-generation sequencing of pooled and barcoded nasal and saliva samples.

Joshua S Bloom1,2,3, Laila Sathe4, Chetan Munugala5,6, Eric M Jones7, Molly Gasperini7, Nathan B Lubock7, Fauna Yarza7, Erin M Thompson7, Kyle M Kovary7, Jimin Park7, Dawn Marquette8, Stephania Kay8, Mark Lucas8, TreQuan Love8, A Sina Booeshaghi9, Oliver F Brandenberg5,6,10, Longhua Guo5,6,10, James Boocock5,6,10, Myles Hochman7, Scott W Simpkins7, Isabella Lin5,4, Nathan LaPierre11, Duke Hong8, Yi Zhang5, Gabriel Oland12, Bianca Judy Choe13, Sukantha Chandrasekaran4, Evann E Hilt4, Manish J Butte14,15, Robert Damoiseaux16,17,18, Clifford Kravit19, Aaron R Cooper7, Yi Yin5, Lior Pachter20, Omai B Garner4, Jonathan Flint5,21, Eleazar Eskin5,8,11, Chongyuan Luo5, Sriram Kosuri22,23, Leonid Kruglyak24,25,26, Valerie A Arboleda27,28.   

Abstract

Frequent and widespread testing of members of the population who are asymptomatic for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for the mitigation of the transmission of the virus. Despite the recent increases in testing capacity, tests based on quantitative polymerase chain reaction (qPCR) assays cannot be easily deployed at the scale required for population-wide screening. Here, we show that next-generation sequencing of pooled samples tagged with sample-specific molecular barcodes enables the testing of thousands of nasal or saliva samples for SARS-CoV-2 RNA in a single run without the need for RNA extraction. The assay, which we named SwabSeq, incorporates a synthetic RNA standard that facilitates end-point quantification and the calling of true negatives, and that reduces the requirements for automation, purification and sample-to-sample normalization. We used SwabSeq to perform 80,000 tests, with an analytical sensitivity and specificity comparable to or better than traditional qPCR tests, in less than two months with turnaround times of less than 24 h. SwabSeq could be rapidly adapted for the detection of other pathogens.

Entities:  

Year:  2021        PMID: 34211145     DOI: 10.1038/s41551-021-00754-5

Source DB:  PubMed          Journal:  Nat Biomed Eng        ISSN: 2157-846X            Impact factor:   25.671


  15 in total

1.  Antigen sensing via nanobody-coated transistors.

Authors:  Howard E Katz
Journal:  Nat Biomed Eng       Date:  2021-07       Impact factor: 25.671

Review 2.  Recent advances in methods for the diagnosis of Corona Virus Disease 2019.

Authors:  Jie Guo; Jiaxin Ge; Yanan Guo
Journal:  J Clin Lab Anal       Date:  2021-12-17       Impact factor: 2.352

Review 3.  Two Years into the COVID-19 Pandemic: Lessons Learned.

Authors:  Severino Jefferson Ribeiro da Silva; Jessica Catarine Frutuoso do Nascimento; Renata Pessôa Germano Mendes; Klarissa Miranda Guarines; Caroline Targino Alves da Silva; Poliana Gomes da Silva; Jurandy Júnior Ferraz de Magalhães; Justin R J Vigar; Abelardo Silva-Júnior; Alain Kohl; Keith Pardee; Lindomar Pena
Journal:  ACS Infect Dis       Date:  2022-08-08       Impact factor: 5.578

4.  Smartphone-Based SARS-CoV-2 and Variants Detection System using Colorimetric DNAzyme Reaction Triggered by Loop-Mediated Isothermal Amplification (LAMP) with Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR).

Authors:  Jayeon Song; Baekdong Cha; Jeong Moon; Hyowon Jang; Sunjoo Kim; Jieun Jang; Dongeun Yong; Hyung-Jun Kwon; In-Chul Lee; Eun-Kyung Lim; Juyeon Jung; Hyun Gyu Park; Taejoon Kang
Journal:  ACS Nano       Date:  2022-06-23       Impact factor: 18.027

5.  Comparison between the analytical sensitivity and clinical performance of two cobas SARS-CoV-2 tests based on high-throughput and point-of-care systems.

Authors:  Tsai-Hsiu Lin; Ngoc-Niem Bui; Yu-Chang Chang; Li-Yun Hsu; Yang-Di Su; Chieh-Min Chang; Wei-An Hong; Uyen Nguyen Phuong Le; Su-Hua Huang; Cheng-Wen Lin
Journal:  Biomedicine (Taipei)       Date:  2022-06-01

Review 6.  Prospects of NIR fluorescent nanosensors for green detection of SARS-CoV-2.

Authors:  Dan Li; Zipeng Zhou; Jiachen Sun; Xifan Mei
Journal:  Sens Actuators B Chem       Date:  2022-03-30       Impact factor: 9.221

7.  Evaluation of Swab-Seq as a scalable, sensitive assay for community surveillance of SARS-CoV-2 infection.

Authors:  HyunJin Kang; Sheilah Allison; Amber Spangenberg; Tara Carr; Ryan Sprissler; Marilyn Halonen; Darren A Cusanovich
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.996

8.  DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2.

Authors:  Alexander Yermanos; Kai-Lin Hong; Andreas Agrafiotis; Jiami Han; Sarah Nadeau; Cecilia Valenzuela; Asli Azizoglu; Roy Ehling; Beichen Gao; Michael Spahr; Daniel Neumeier; Ching-Hsiang Chang; Andreas Dounas; Ezequiel Petrillo; Ina Nissen; Elodie Burcklen; Mirjam Feldkamp; Christian Beisel; Annette Oxenius; Miodrag Savic; Tanja Stadler; Fabian Rudolf; Sai T Reddy
Journal:  BMC Genomics       Date:  2022-04-11       Impact factor: 3.969

9.  Direct comparison of RT-ddPCR and targeted amplicon sequencing for SARS-CoV-2 mutation monitoring in wastewater.

Authors:  Esther G Lou; Nicolae Sapoval; Camille McCall; Lauren Bauhs; Russell Carlson-Stadler; Prashant Kalvapalle; Yanlai Lai; Kyle Palmer; Ryker Penn; Whitney Rich; Madeline Wolken; Pamela Brown; Katherine B Ensor; Loren Hopkins; Todd J Treangen; Lauren B Stadler
Journal:  Sci Total Environ       Date:  2022-04-06       Impact factor: 10.753

10.  Quantitative SARS-CoV-2 Viral-Load Curves in Paired Saliva Samples and Nasal Swabs Inform Appropriate Respiratory Sampling Site and Analytical Test Sensitivity Required for Earliest Viral Detection.

Authors:  Emily S Savela; Alexander Viloria Winnett; Anna E Romano; Michael K Porter; Natasha Shelby; Reid Akana; Jenny Ji; Matthew M Cooper; Noah W Schlenker; Jessica A Reyes; Alyssa M Carter; Jacob T Barlow; Colten Tognazzini; Matthew Feaster; Ying-Ying Goh; Rustem F Ismagilov
Journal:  J Clin Microbiol       Date:  2021-12-15       Impact factor: 5.948

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