Gene ontology tree analysis integrated with tendency cluster for deep sequencing database to interpret the mechanism of classical swine fever virus infection

摘要

Classical swine fever (CSF), inducing significant economic losses to the global pig breeding industry, is caused by classical swine cause fever virus (CSFV). Macrophage is one of main targets of CSFV infection. To well understand the key gene responses of macrophages to CSFV Shimen, gene ontology tree analysis integrated with tendency cluster was carried out to investigate database on macrophage transcripts. By using tendency cluster analysis, up- and down-regulated genes in macrophages induced by CSFV Shimen were obtained by comparing CSFV Shimen group with CSFV C and the control group. Gene ontology (GO) and pathway analysis showed that regulation of cell proliferation, cell cycle arrest, inflammatory response, etc., were identified as key GO terms, and TGF-beta pathway, PI3K-Akt pathway, p53 signaling pathway, etc., were highlighted as significantly signalling pathway during CSFV Shimen infection. GO tree analysis as a power tool displayed detailed similarities and differences of responding process on macro-phages to meet CSFV Shimen and CSFV C infection. Our systematic analysis provides valuable information for better understanding host's molecular pathogenesis of CSFV infection.