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Updated: Mar 6, 2026
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Transcriptional profiling of host cell responses to encephalomyocarditis virus (EMCV)
Jia Wei1,2, Haixia Zhang1, Xiangrong Li1
1The Key Bio-engineering and Technology Laboratory of SEAC, Northwest Minzu University, No. 1 Xibeixincun, Lanzhou, 730030, People's Republic of China.
Backgroud:
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.
Methods:
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.
Results:
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.
Conclusions:
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.
