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      A colorimetric RT-LAMP assay and LAMP-sequencing for detecting SARS-CoV-2 RNA in clinical samples

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          Abstract

          A colorimetric isothermal RNA amplification method was shown to detect SARS-CoV-2 RNA in clinical samples with excellent sensitivity and specificity.

          A colorful test for SARS-CoV-2 RNA detection

          We need simple methods to rapidly test large numbers of people for infection with the SARS-CoV-2 coronavirus. Quantitative PCR (qPCR) after reverse transcription (RT), the standard method, is very sensitive but requires expensive instrumentation. Loop-mediated isothermal amplification (LAMP) is an alternative to qPCR that is faster and requires fewer resources. Dao Thi et al. tested the RT-LAMP assay on several hundred clinical RNA samples isolated from pharyngeal swabs collected from individuals being tested for COVID-19. They confirmed that the RT-LAMP assay was a simpler albeit less sensitive option compared to RT-qPCR for large-scale testing for SARS-CoV-2 RNA. These investigators also developed a simplified version of this method (direct swab–to–RT-LAMP assay) that did not require a prior RNA isolation step as well as a method for highly multiplexed sequencing of RT-LAMP reactions (LAMP-sequencing).

          Abstract

          The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) coronavirus is a major public health challenge. Rapid tests for detecting existing SARS-CoV-2 infections and assessing virus spread are critical. Approaches to detect viral RNA based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) have potential as simple, scalable, and broadly applicable testing methods. Compared to RT quantitative polymerase chain reaction (RT-qPCR)–based methods, RT-LAMP assays require incubation at a constant temperature, thus eliminating the need for sophisticated instrumentation. Here, we tested a two-color RT-LAMP assay protocol for detecting SARS-CoV-2 viral RNA using a primer set specific for the N gene. We tested our RT-LAMP assay on surplus RNA samples isolated from 768 pharyngeal swab specimens collected from individuals being tested for COVID-19. We determined the sensitivity and specificity of the RT-LAMP assay for detecting SARS-CoV-2 viral RNA. Compared to an RT-qPCR assay using a sensitive primer set, we found that the RT-LAMP assay reliably detected SARS-CoV-2 RNA with an RT-qPCR cycle threshold (CT) number of up to 30, with a sensitivity of 97.5% and a specificity of 99.7%. We also developed a swab–to–RT-LAMP assay that did not require a prior RNA isolation step, which retained excellent specificity (99.5%) but showed lower sensitivity (86% for CT < 30) than the RT-LAMP assay. In addition, we developed a multiplexed sequencing protocol (LAMP-sequencing) as a diagnostic validation procedure to detect and record the outcome of RT-LAMP reactions.

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          Most cited references31

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            A Novel Coronavirus from Patients with Pneumonia in China, 2019

            Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Journal
                Sci Transl Med
                Sci Transl Med
                STM
                scitranslmed
                Science Translational Medicine
                American Association for the Advancement of Science
                1946-6234
                1946-6242
                12 August 2020
                : 12
                : 556
                : eabc7075
                Affiliations
                [1 ]Schaller Research Groups, Department of Infectious Diseases, Virology, Heidelberg University, Heidelberg, Germany.
                [2 ]Department of Infectious Diseases, Virology, Heidelberg University, Heidelberg, Germany.
                [3 ]Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany.
                [4 ]German Center for Infection Research (DZIF), Heidelberg, Germany.
                [5 ]German Cancer Research Center (DKFZ), Heidelberg, Germany.
                [6 ]DKFZ-ZMBH Alliance, Heidelberg, Germany.
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-2293-3592
                http://orcid.org/0000-0003-1296-1522
                http://orcid.org/0000-0003-4651-128X
                http://orcid.org/0000-0003-3170-6295
                http://orcid.org/0000-0002-9374-1056
                http://orcid.org/0000-0001-5650-6949
                http://orcid.org/0000-0002-1415-6757
                http://orcid.org/0000-0002-5606-1297
                http://orcid.org/0000-0001-8614-4993
                http://orcid.org/0000-0002-8046-0474
                http://orcid.org/0000-0002-7782-2139
                http://orcid.org/0000-0002-8845-2428
                http://orcid.org/0000-0002-8756-329X
                http://orcid.org/0000-0003-2566-923X
                http://orcid.org/0000-0003-4868-1805
                Article
                abc7075
                10.1126/scitranslmed.abc7075
                7574920
                32719001
                ae84754d-5655-4a2d-ac3c-3905bd050341
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 May 2020
                : 23 July 2020
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100008658, Deutsches Krebsforschungszentrum;
                Funded by: doi http://dx.doi.org/10.13039/501100012284, Chica and Heinz Schaller-Stiftung;
                Funded by: doi http://dx.doi.org/10.13039/501100012284, Chica and Heinz Schaller-Stiftung;
                Categories
                Research Article
                Research Articles
                STM r-articles
                Medicine
                Coronavirus
                Custom metadata
                Orla Smith
                Mariane Belen

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