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Genome-wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever.
Zhong, Xiao-Lan; Liao, Xiao-Ming; Shen, Fei; Yu, Hai-Jian; Yan, Wen-Sheng; Zhang, Yun-Fang; Ye, Jia-Jun; Lv, Zhi-Ping.
Afiliación
  • Zhong XL; Department of Quality Control Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Liao XM; Department of Medicine Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Shen F; Clinical Laboratory Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Yu HJ; Department of Medicine Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Yan WS; Department of Medicine Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Zhang YF; Department of Medicine Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Ye JJ; Department of Medicine Huadu Hospital of Southern Medical University & Guangzhou Huadu District People's Hospital China.
  • Lv ZP; College of Traditional Chinese Medicine Southern Medical University Guangzhou China.
FEBS Open Bio ; 9(3): 468-477, 2019 03.
Article en En | MEDLINE | ID: mdl-30868055
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 (DEGs) in DF and 8147 DEGs in DHF as compared to healthy controls (P < 0.05). In addition, we discovered 215 differentially expressed long non-coding RNAs (DElncRNAs) in DF and 225 DElncRNAs in DHF. There were 1256 common DEGs and eight common DElncRNAs 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 DEGs. 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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: ARN Mensajero / Dengue Grave / Dengue / ARN Largo no Codificante Tipo de estudio: Prognostic_studies Idioma: En Revista: FEBS Open Bio Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: ARN Mensajero / Dengue Grave / Dengue / ARN Largo no Codificante Tipo de estudio: Prognostic_studies Idioma: En Revista: FEBS Open Bio Año: 2019 Tipo del documento: Article