About: RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus

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About: RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus Goto Sponge NotDistinct Permalink

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	RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus
Creator	Chang, Howard Chang, J Wu, K Fazal, Furqan Parker, F Parker, Kevin Predicts, Rna-Gps Wu, Kevin Zou, James
Source	Elsevier; Medline; PMC
abstract	Abstract/Summary SARS-CoV-2 genomic and subgenomic RNA (sgRNA) transcripts hijack the host cell's machinery. Subcellular localization of its viral RNA could thus play important roles in viral replication and host antiviral immune response. We perform computational modeling of SARS-CoV-2 viral RNA subcellular residency across eight subcellular neighborhoods. We compare hundreds of SARS-CoV-2 genomes to the human transcriptome and other coronaviruses. We predict the SARS-CoV-2 RNA genome and sgRNAs to be enriched towards the host mitochondrial matrix and nucleolus, and that the 5’ and 3’ viral untranslated regions contain the strongest, most distinct localization signals. We interpret the mitochondrial residency signal as an indicator of intracellular RNA trafficking with respect to double-membrane vesicles, a critical stage in the coronavirus life cycle. Our computational analysis serves as a hypothesis generation tool to suggest models for SARS-CoV-2 biology and inform experimental efforts to combat the virus. A record of this paper’s Transparent Peer Review process is included in the Supplemental Information.
has issue date	2020-06-20(xsd:dateTime)
bibo:doi	10.1016/j.cels.2020.06.008
bibo:pmid	32673562
has license	els-covid
sha1sum (hex)	ec13aa702dae87b8f4fd10fa62f18201b54b9e40
schema:url	https://doi.org/10.1016/j.cels.2020.06.008
resource representing a document's title	RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus
has PubMed Central identifier	PMC7305881
has PubMed identifier	32673562
schema:publication	Cell Syst
resource representing a document's body	covid:ec13aa702dae87b8f4fd10fa62f18201b54b9e40#body_text
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