About: In-silico analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs

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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	In-silico analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs
Creator	Sood, Vikas Arora, Pooja Periwal, Neha Sarma, Sankritya
source	BioRxiv
abstract	Recently a novel coronavirus (SARS-CoV-2) emerged from Wuhan, China and has infected more than 571000 people leading to more than 26000 deaths. Since SARS-CoV-2 genome sequences show similarity with those of SARS, we sought to analyze all the available SARS-CoV-2 genomes based on the insights obtained from SARS genome specifically focusing on non-coding RNAs. Here, results are presented from the dual approach i.e identifying host encoded miRNAs that might regulate viral pathogenesis as well as identifying viral encoded miRNAs that might regulate host cell signaling pathways and aid in viral pathogenesis. Analysis utilizing first approach resulted in the identification of 10 host encoded miRNAs that could target the genome of both the viruses (SARS-CoV-2 and SARS reference genome). Interestingly our analysis revealed that there is significantly higher number of host miRNAs that could target SARS-CoV-2 genome as compared to the SARS reference genome. Results from second approach involving SARS-CoV-2 and SARS reference genome identified a set of virus encoded miRNAs which might regulate host signaling pathways. Our analysis further identified a similar “GA” rich motif in SARS-CoV-2 genome that was shown to play a vital role in lung pathogenesis during severe SARS infections. Hence, we successfully identified human and virus encoded miRNAs that might regulate pathogenesis of both these coronaviruses and the fact that more number of host miRNAs could target SARS-CoV-2 genomes possibly reveal as to why this virus follows mild pathogenesis in healthy individuals. We identified non-coding sequences in SARS-CoV-2 genomes that were earlier reported to contribute towards SARS pathology. The study provides insights into the overlapping sequences among these viruses for their effective inhibition as well as identifying new drug targets that could be used for development of new antivirals.
has issue date	2020-04-04(xsd:dateTime)
bibo:doi	10.1101/2020.03.31.018499
has license	biorxiv
sha1sum (hex)	1c4a6e34bd5f707f06713e1be266ff0f8e2ae4c5
schema:url	https://doi.org/10.1101/2020.03.31.018499
resource representing a document's title	In-silico analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs
schema:publication	bioRxiv
resource representing a document's body	covid:1c4a6e34bd5f707f06713e1be266ff0f8e2ae4c5#body_text
is schema:about of	named entity 'Since' named entity 'RNAS' named entity 'CODING' named entity 'SARS' named entity 'LEADING' »more»

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