About: COVID-19 preclinical models: human angiotensin-converting enzyme 2 transgenic mice

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 preclinical models: human angiotensin-converting enzyme 2 transgenic mice
Creator	Kang, Wonyoung Lee, Charles Lutz, Cathleen Maher, Leigh
Source	Medline; PMC
abstract	Coronavirus disease 2019 (COVID-19) is a declared pandemic that is spreading all over the world at a dreadfully fast rate. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the pathogen of COVID-19, infects the human body using angiotensin-converting enzyme 2 (ACE2) as a receptor identical to the severe acute respiratory syndrome (SARS) pandemic that occurred in 2002–2003. SARS-CoV-2 has a higher binding affinity to human ACE2 than to that of other species. Animal models that mimic the human disease are highly essential to develop therapeutics and vaccines against COVID-19. Here, we review transgenic mice that express human ACE2 in the airway and other epithelia and have shown to develop a rapidly lethal infection after intranasal inoculation with SARS-CoV, the pathogen of SARS. This literature review aims to present the importance of utilizing the human ACE2 transgenic mouse model to better understand the pathogenesis of COVID-19 and develop both therapeutics and vaccines.
has issue date	2020-06-04(xsd:dateTime)
bibo:doi	10.1186/s40246-020-00272-6
bibo:pmid	32498696
has license	cc-by
sha1sum (hex)	aca0d44933c96e5adb59427e0daa503707274523
schema:url	https://doi.org/10.1186/s40246-020-00272-6
resource representing a document's title	COVID-19 preclinical models: human angiotensin-converting enzyme 2 transgenic mice
has PubMed Central identifier	PMC7269898
has PubMed identifier	32498696
schema:publication	Hum Genomics
resource representing a document's body	covid:aca0d44933c96e5adb59427e0daa503707274523#body_text
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