About: Chemical proteomics tracks virus entry and uncovers NCAM1 as Zika virus receptor

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Chemical proteomics tracks virus entry and uncovers NCAM1 as Zika virus receptor
Creator	Xu, Jianqing Zhang, Yang Zhang, Ying Chen, Jian Kuhn, Richard Miller, Andrew Chen, Zhilu Lu, Haojie Sirohi, Devika Srivastava, Mayank Tao, W
source	Medline; PMC
abstract	The outbreak of Zika virus (ZIKV) in 2016 created worldwide health emergency which demand urgent research efforts on understanding the virus biology and developing therapeutic strategies. Here, we present a time-resolved chemical proteomic strategy to track the early-stage entry of ZIKV into host cells. ZIKV was labeled on its surface with a chemical probe, which carries a photocrosslinker to covalently link virus-interacting proteins in living cells on UV exposure at different time points, and a biotin tag for subsequent enrichment and mass spectrometric identification of the receptor or other host proteins critical for virus internalization. We identified Neural Cell Adhesion Molecule (NCAM1) as a potential ZIKV receptor and further validated it through overexpression, knockout, and inhibition of NCAM1 in Vero cells and human glioblastoma cells U-251 MG. Collectively, the strategy can serve as a universal tool to map virus entry pathways and uncover key interacting proteins.
has issue date	2020-08-04(xsd:dateTime)
bibo:doi	10.1038/s41467-020-17638-y
bibo:pmid	32753727
has license	cc-by
sha1sum (hex)	90c98342edc3ab3711df5810a79556fd606b743d
schema:url	https://doi.org/10.1038/s41467-020-17638-y
resource representing a document's title	Chemical proteomics tracks virus entry and uncovers NCAM1 as Zika virus receptor
has PubMed Central identifier	PMC7403387
has PubMed identifier	32753727
schema:publication	Nat Commun
resource representing a document's body	covid:90c98342edc3ab3711df5810a79556fd606b743d#body_text
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