Back to search

Article

Identification of erythroid cell positive blood transcriptome phenotypes associated with severe respiratory syncytial virus infection

2019-01-22

Abstract excerpt

<h4>ABSTRACT</h4> Biomarkers to assess the severity of acute respiratory syncytial virus (RSV) infection are needed. We conducted a meta-analysis of 490 unique profiles from six public RSV blood transcriptome datasets. A repertoire of 382 well-characterized transcriptional modules was used to define dominant host responses to RSV infection. The consolidated RSV cohort was stratified according to four traits: “int...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
872b5567-97eb-5ce6-920d-658271d5056e
DOI
10.1101/527812
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of erythroid cell positive blood transcriptome phenotypes associated with severe respiratory syncytial virus infectionDOI 10.1101/527812
Select a neighboring publication to make it the new centre.