About: Integrated, multi-cohort analysis identifies conserved transcriptional signatures across multiple respiratory viruses

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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
title	Integrated, multi-cohort analysis identifies conserved transcriptional signatures across multiple respiratory viruses
Creator	Andres-Terre, Marta Bongen, Erika Pouliot, Yannick Khatri Correspondence, Purvesh Mcguire, Helen Sweeney, Timothy Tato, Cristina
source	Elsevier; Medline; PMC
abstract	Respiratory viral infections are a significant burden to healthcare worldwide. Many whole genome expression profiles have identified different respiratory viral infection signatures, but these have not translated to clinical practice. Here, we performed two integrated, multi-cohort analyses of publicly available transcriptional data of viral infections. First, we identified a common host signature across different respiratory viral infections that could distinguish (a) individuals with viral infections from healthy controls and from those with bacterial infections, and (b) symptomatic from asymptomatic subjects prior to symptom onset in challenge studies. Second, we identified an influenza-specific host response signature that (a) could distinguish influenza-infected samples from those with bacterial and other respiratory viral infections, (b) was a diagnostic and prognostic marker in influenza-pneumonia patients and influenza challenge studies, and (c) was predictive of response to influenza vaccine. Our results have applications in the diagnosis, prognosis, and identification of drug targets in viral infections.
has issue date	2015-12-01(xsd:dateTime)
bibo:doi	10.1016/j.immuni.2015.11.003
bibo:pmid	26682989
has license	hybrid-oa
sha1sum (hex)	601a6b071650db3a2eb06c83e92ce90e6b5977f4
schema:url	https://doi.org/10.1016/j.immuni.2015.11.003
resource representing a document's title	Integrated, multi-cohort analysis identifies conserved transcriptional signatures across multiple respiratory viruses
has PubMed Central identifier	PMC4684904
has PubMed identifier	26682989
schema:publication	Immunity
resource representing a document's body	covid:601a6b071650db3a2eb06c83e92ce90e6b5977f4#body_text
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