Meta-Analysis of Whole Blood Transcriptome Datasets Characterizes the Immune Response of Respiratory Syncytial Virus Infection in Children

Autor: Qianyu Feng, Shujin Lin, Huifang Liu, Bin Yang, Lifen Han, Xiao Han, Lili Xu, Zhengde Xie
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Druh dokumentu: article
ISSN: 2235-2988
DOI: 10.3389/fcimb.2022.878430
Popis: Respiratory syncytial virus (RSV) is the most common and critical viral pathogen causing acute lower respiratory tract infection in infants and young children and has a huge disease burden worldwide. At present, there are many studies on RSV transcriptomics exploring the mechanism of disease, but different studies show different gene expression patterns and results due to different sample collection platforms and data analysis strategies. A meta-analysis was performed on eight whole blood transcriptome datasets containing 436 children with acute RSV infection and 241 healthy children. A total of 319 differentially expressed genes (DEGs) (P value
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