About: Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients

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About: Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients
Creator	Kehlen, Astrid Hagemann, Sven Hüttelmaier, Stefan Ihling, Christian Sinz, Andrea Tänzler, Dirk
topic	covid:8b376beeb97ede98f3499fc5e500c9789a0b83c6#this
source	BioRxiv
abstract	Mass spectrometry (MS) can deliver valuable diagnostic data that complements genomic information and allows us to increase our current knowledge of the COVID-19 disease caused by the SARS-CoV-2 virus. We developed a simple, MS-based method to specifically detect SARS-CoV-2 proteins from gargle solution samples of COVID-19 patients. Our protocol consists of an acetone precipitation and tryptic digestion of proteins contained within the gargle solution, followed by a targeted MS analysis. Our methodology identifies unique peptides originating from SARS-CoV-2 nucleoprotein. Building on these promising initial results, faster MS protocols can now be developed as routine diagnostic tools for COVID-19 patients. Graphical Abstract Image credit (left): Gerd Altmann, Pixabay License, https://pixabay.com/illustrations/corona-coronavirus-virus-covid-19-4959447
has issue date	2020-04-19(xsd:dateTime)
bibo:doi	10.1101/2020.04.18.047878
has license	biorxiv
sha1sum (hex)	8b376beeb97ede98f3499fc5e500c9789a0b83c6
schema:url	https://doi.org/10.1101/2020.04.18.047878
resource representing a document's title	Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients
schema:publication	bioRxiv
resource representing a document's body	covid:8b376beeb97ede98f3499fc5e500c9789a0b83c6#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/8b376beeb97ede98f3499fc5e500c9789a0b83c6
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