Title |
Transcriptional profiling of host cell responses to encephalomyocarditis virus (EMCV)
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Published in |
Virology Journal, March 2017
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DOI | 10.1186/s12985-017-0718-4 |
Pubmed ID | |
Authors |
Jia Wei, Haixia Zhang, Xiangrong Li, Qiongyi Li, Zhongren Ma, Jialin Bai, Zilin Qiao, Ruofei Feng |
Abstract |
Encephalomyocarditis virus (EMCV) has been discovered on pig farms worldwide and can cause myocarditis in piglets and reproductive failure in sows. However, little is known about the host transcriptional responses to infection and host-pathogen interactions. In this study, transcription profiling was performed by Illumina RNA-Sequencing (RNA-seq) to identify EMCV induced differentially expressed genes in BHK-21 cells at serial time points (12, 24, and 30 h post infection (hpi)), using mock infected cells as control. We identified 237, 241, and 207 differentially expressed genes (DEGs) respectively, majority of which were up-regulated. A large number of DEGs clustered into host defense, cellular signaling and metabolism categories. Moreover, short time series expression analysis revealed that 12 hpi was an important time point for expression change, indicating host virus resistance. This RNA-seq analysis provides the first data for understanding the network of virus host interactions under EMCV infection in vitro, and for identifying host components which involved in the virus infection course. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 27% |
Researcher | 3 | 20% |
Other | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 3 | 20% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 40% |
Agricultural and Biological Sciences | 3 | 20% |
Veterinary Science and Veterinary Medicine | 2 | 13% |
Unspecified | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 13% |