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Dataset Information

IFI27 may predict and evaluate the severity of respiratory syncytial virus infection in preterm infants.


ABSTRACT:

Background

Preterm infants are a special population that vulnerable to respiratory syncytial virus (RSV) infection and the lower respiratory tract infections (LRTIs) caused by RSV could be severe and even life-threating. The purpose of the present study was to identify candidate genes of preterm infants who are susceptible to RSV infection and provide a new insight into the pathogenesis of RSV infection.

Methods

Three datasets (GSE77087, GSE69606 and GSE41374) containing 183 blood samples of RSV infected patients and 33 blood samples of healthy controls from Gene Expression Omnibus (GEO) database were downloaded and the differentially expressed genes (DEGs) were screened out. The function and pathway enrichments were analyzed through Database for Annotation, Visualization an

SUBMITTER: Gao J 

PROVIDER: S-EPMC7778825 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature