Lei Li1, Yong An Ni2, Zhenfeng Song2, Zhi Yi2, Fang Wang2. 1. Department of Pediatrics, The Affiliated Hospital of Qingdao University, No.1677, Wutaishan Road, Huangdao Distict, Qingdao, 266555, China. lilei_doctor@163.com. 2. Department of Pediatrics, The Affiliated Hospital of Qingdao University, No.1677, Wutaishan Road, Huangdao Distict, Qingdao, 266555, China.
Abstract
BACKGROUND: Respiratory syncytial virus (RSV) is a major cause of acute lower respiratory infections in children, especially bronchiolitis. Our study aimed to identify the key genes and upstream transcription factors in RSV. METHODS: To screen for RSV pathogenic genes, an integrated analysis was performed using the RSV microarray dataset in GEO. Functional annotation and potential pathways for differentially expressed genes (DEGs) were further explored by GO and KEGG enrichment analysis. We constructed the RSV-specific transcriptional regulatory network to identify key transcription factors for DEGs in RSV. RESULTS: From three GEO datasets, we identified 1059 DEGs (493 up-regulated and 566 down-regulated genes, FDR < 0.05 and |Combined.ES| > 0.8) between RSV patients and normal controls. GO and KEGG analysis revealed that 'response to virus' (FDR = 7.13E-15), 'mitochondrion' (FDR = 1.39E-14) and 'Asthma' (FDR = 1.28E-06) were significantly enriched pathways for DEGs. The expression of IFI27, IFI44, IFITM3, FCER1A, and ISG15 were shown to be involved in the pathogenesis of RSV. CONCLUSIONS: We concluded that IFI27, IFI44, IFITM3, FCER1A, and ISG15 may play a role in RSV. Our finding may contribute to the development of new potential biomarkers, reveal the underlying pathogenesis and also identify novel therapeutic targets for RSV.
BACKGROUND:Respiratory syncytial virus (RSV) is a major cause of acute lower respiratory infections in children, especially bronchiolitis. Our study aimed to identify the key genes and upstream transcription factors in RSV. METHODS: To screen for RSV pathogenic genes, an integrated analysis was performed using the RSV microarray dataset in GEO. Functional annotation and potential pathways for differentially expressed genes (DEGs) were further explored by GO and KEGG enrichment analysis. We constructed the RSV-specific transcriptional regulatory network to identify key transcription factors for DEGs in RSV. RESULTS: From three GEO datasets, we identified 1059 DEGs (493 up-regulated and 566 down-regulated genes, FDR < 0.05 and |Combined.ES| > 0.8) between RSVpatients and normal controls. GO and KEGG analysis revealed that 'response to virus' (FDR = 7.13E-15), 'mitochondrion' (FDR = 1.39E-14) and 'Asthma' (FDR = 1.28E-06) were significantly enriched pathways for DEGs. The expression of IFI27, IFI44, IFITM3, FCER1A, and ISG15 were shown to be involved in the pathogenesis of RSV. CONCLUSIONS: We concluded that IFI27, IFI44, IFITM3, FCER1A, and ISG15 may play a role in RSV. Our finding may contribute to the development of new potential biomarkers, reveal the underlying pathogenesis and also identify novel therapeutic targets for RSV.
Authors: Nele Sigurs; Per M Gustafsson; Ragnar Bjarnason; Fredrik Lundberg; Susanne Schmidt; Fridrik Sigurbergsson; Bengt Kjellman Journal: Am J Respir Crit Care Med Date: 2004-10-29 Impact factor: 21.405
Authors: Wouter A A de Steenhuijsen Piters; Santtu Heinonen; Raiza Hasrat; Eleonora Bunsow; Bennett Smith; Maria-Carmen Suarez-Arrabal; Damien Chaussabel; Daniel M Cohen; Elisabeth A M Sanders; Octavio Ramilo; Debby Bogaert; Asuncion Mejias Journal: Am J Respir Crit Care Med Date: 2016-11-01 Impact factor: 21.405
Authors: Britton A Strickland; Seesandra V Rajagopala; Arash Kamali; Meghan H Shilts; Suman B Pakala; Marina S Boukhvalova; Shibu Yooseph; Jorge C G Blanco; Suman R Das Journal: Sci Rep Date: 2022-10-04 Impact factor: 4.996