About: Evaluation Of SYBR Green Real Time PCR For Detecting SARS-CoV-2 From Clinical Samples

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Evaluation Of SYBR Green Real Time PCR For Detecting SARS-CoV-2 From Clinical Samples
Creator	Moratorio, Gonzalo Moreno, Pilar Aldunate1, Fabián Moratorio1, Gonzalo Moreno1, Pilar »more»
source	BioRxiv
abstract	The pandemic caused by SARS-CoV-2 has triggered an extraordinary collapse of healthcare systems and hundred thousand of deaths worldwide. Following the declaration of the outbreak as a Public Health Emergency of International Concern by the World Health Organization (WHO) on January 30th, 2020, it has become imperative to develop diagnostic tools to reliably detect the virus in infected patients. Several methods based on real time reverse transcription polymerase chain reaction (RT-qPCR) for the detection of SARS-CoV-2 genomic RNA have been developed. In addition, these methods have been recommended by the WHO for laboratory diagnosis. Since all these protocols are based on the use of fluorogenic probes and one-step reagents (cDNA synthesis followed by PCR amplification in the same tube), these techniques can be difficult to perform given the limited supply of reagents in low and middle income countries. In the interest of economy, time and availability of chemicals and consumables, the SYBR Green-based detection was implemented to establish a convenient assay. Therefore, we adapted one of WHO recommended Taqman-based one-step real time PCR protocols (from the University of Hong Kong) to SYBR Green. Our results suggest that SYBR-Green detection represents a reliable cost-effective alternative to increase the testing capacity.
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1101/2020.05.13.093609
has license	biorxiv
sha1sum (hex)	2749c46a3d7a5cf6552cdc9d00076e1f2ec5ddc7
schema:url	https://doi.org/10.1101/2020.05.13.093609
resource representing a document's title	Evaluation Of SYBR Green Real Time PCR For Detecting SARS-CoV-2 From Clinical Samples
schema:publication	bioRxiv
resource representing a document's body	covid:2749c46a3d7a5cf6552cdc9d00076e1f2ec5ddc7#body_text
is schema:about of	named entity 'SYBR GREEN' covid:arg/2749c46a3d7a5cf6552cdc9d00076e1f2ec5ddc7 named entity 'vectors' named entity 'Quantitative PCR' named entity 'gold standard' »more»

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