Open AccessGenome‐wide profiling of mRNA and lnc RNA expression in dengue fever and dengue hemorrhagic fever
Author(s) -
Zhong XiaoLan,
Liao XiaoMing,
Shen Fei,
Yu HaiJian,
Yan WenSheng,
Zhang YunFang,
Ye JiaJun,
Lv ZhiPing
Publication year - 2019
Publication title -
febs open bio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.718
H-Index - 31
ISSN - 2211-5463
DOI - 10.1002/2211-5463.12576
Subject(s) - dengue fever , kegg , gene , biology , microarray , dengue hemorrhagic fever , genome , gene expression , rna , messenger rna , computational biology , genetics , transcriptome , virology , dengue virus
Dengue fever ( DF ) and dengue hemorrhagic fever ( DHF ) are recurrent diseases that are widespread in the tropics. Here, we identified candidate genes associated with these diseases by performing integrated analyses of DF ( GSE51808 ) and DHF ( GSE18090 ) microarray datasets in the Gene Expression Omnibus ( GEO ). In all, we identified 7635 differentially expressed genes ( DEG s) in DF and 8147 DEG s in DHF as compared to healthy controls ( P < 0.05). In addition, we discovered 215 differentially expressed long non‐coding RNA s ( DE lnc RNA s) in DF and 225 DE lnc RNA s in DHF . There were 1256 common DEG s and eight common DE lnc RNA s in DHF vs DF , DHF vs normal control, and DF vs normal control groups. Gene Ontology ( GO ) and Kyoto Encyclopedia of Genes and Genomes ( KEGG ) enrichment analysis revealed that signal transduction (false discovery rate = 8.33E‐10), ‘toxoplasmosis’, and ‘protein processing in endoplasmic reticulum’ were significantly enriched pathways for common DEG s. We conclude that the MAGED1 , STAT1 , and IL12A genes may play crucial roles in DF and DHF , and suggest that our findings may facilitate the identification of biomarkers and the development of new drug design strategies for DF and DHF treatment.