Tendency Cluster Analysis Based on the Deep Sequencing Database to Explore the Response Mechanism of Swine Umbilical Vein Endothelial Cells to Classical Swine Fever Virus Infection

Xiaocheng Gong¹, Xin You¹, Xuepeng Li¹, Aoxue Hu¹, Zhongxing Wu¹, Jun He¹ and Pengbo Ning^1,2,*

¹School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, PR China

²Engineering Research Centre of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi 710071, PR China

*Corresponding Author : Pengbo Ning
School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, PR China
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E-mail: tommy0627@163.com

Received: July 09, 2018 Accepted: August 04, 2018 Published: August 09, 2018

Citation: Gong X, You X, Li X, Hu A, Wu Z, et al. (2018) Tendency Cluster Analysis Based on the Deep Sequencing Database to Explore the Response Mechanism of Swine Umbilical Vein Endothelial Cells to Classical Swine Fever Virus Infection. J Vet Sci Med Diagn 7:3. doi: 10.4172/2325-9590.1000259

Endothelial cell is one of main targets of classical swine fever virus (CSFV) infection that causes classical swine fever (CSF). Although the pathogenesis of CSF has been studied for a long time, the new method is still needed to elucidate the underlying mechanism. Genomics analysis based on the deep sequencing provides a possibility for further studies of CSFV infection mechanism. Tendency cluster analysis and bioinformatics analysis were developed for interpreting the significant gene responses of endothelial cells to CSFV in this work. Key genes contributed to CSFV Shimen were identified differing from CSFV C infection and the control. GO (gene ontology) and KEGG analysis suggested that CSFV Shimen infection caused changes in biological processes such as cytoplasmic sequestering of NF-kappaB, regulation of apoptotic process and toll-like receptor 4 signaling pathway. And there was a significant response from PI3K-Akt signaling pathway, viral myocarditis, prolactin signaling pathway and so on during the Shimen infestation. Trend analysis based on series-cluster for deep sequencing database obtained better interpretation to CSFV Shimen, which provided more valuable information to understand the development of CSF.