A meta-analysis of transcriptomic characterization revealed extracellular matrix pathway involved in the H5N1 and H7N9 infections

Feng Wen, Jinyue Guo _, Guangzhi Tong, Dingren Bi, Qi Wang, Xiaomin Liu, Shuaiyong Wang, Tonglin Shan, Wu Tong, Yanjun Zhou, Guoxin Li and Hai Yu

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Oncotarget. 2017; 8:62561-62572. https://doi.org/10.18632/oncotarget.19315

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Feng Wen1, Jinyue Guo2, Guangzhi Tong1,3, Dingren Bi2, Qi Wang1, Xiaomin Liu1, Shuaiyong Wang1, Tonglin Shan1, Wu Tong1, Yanjun Zhou1, Guoxin Li1 and Hai Yu1,3

1Division of Swine Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China

2College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China

3Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225009, China

Correspondence to:

Jinyue Guo, email: guojinyue12@163.com

Hai Yu, email: haiyu@shvri.ac.cn

Keywords: influenza A, H7N9, H5N1, meta-analysis, extracellular matrix

Received: April 04, 2017     Accepted: June 16, 2017     Published: July 18, 2017


Avian-origin H5N1 and H7N9 influenza A viruses are capable of causing lethal infection in humans, with serious lung pathology and leading to acute respiratory distress syndrome. The contribution of host response associated with the poor prognosis of H5N1 and H7N9 infections remains unclear. The aim of this study was to identify the host factors involved in the high pathogenicity of H5N1 and H7N9 by a systematical meta-analysis. The RNA-seq datasets related to H5N1, H7N9, and H1N1 infections with time series were retrieved from GEO. After merging the data from different series, ComBat was used to adjust the known variances from different batches. The transcription factors binding the genes in each cluster were predicted by PASTAA. We figured out the genes that were differentially expressed at any time point in samples infected with H5N1, H7N9, or H1N1. The analysis of biological function showed that genes related with cytokine were up-regulated in all three viruses. However, genes associated with carbon metabolism were found exclusively down-regulated in H7N9 and the extracellular matrix pathway were only enriched in H5N1 and H7N9. To summary, our study suggested that the extracellular matrix might be associated with the high fatality of H5N1 and H7N9 viruses in humans.

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