摘要
猪瘟病毒(Classical swine fever,CSFV)引起的猪瘟对于全球养猪业具有广泛危害,其深层发病机制仍待阐明。该研究基于CSFV Shimen株侵染猪肺泡巨噬细胞和猪血管内皮细胞差异表达的转录组学数据,深度挖掘这两种宿主细胞共同应答CSFV Shimen株侵染的关键基因。结果显示,真核生物起始因子4A3(eukaryotic translation initiation factor 4A3,EIF4A3)、蛋白酶体β亚基3型(proteasome subunit beta3,PSMB3)等关键基因的异常表达可能影响宿主细胞的凋亡、周期调控等生理进程。GO(Gene Ontology)和KEGG分析表明,CSFV Shimen的侵染造成NF-κB等相关调控的生物学过程改变,并且DNA复制等信号通路出现显著性应答。联合组学分析很好地提示了CSFV Shimen对巨噬细胞及血管内皮细胞可能的共性损害,为更好地开展CSFV与宿主细胞的互作机制研究提供了有价值的信息。
The classical swine fever caused by classical swine fever virus(CSFV)has a large effect on the global swine industry and its underlying pathogenesis remains to be elucidated.This study based on the differentially expressed transcriptomic data of swine alveolar macrophages and porcine vascular endothelial cells infected with CSFV Shimen strain to excavate the key genes that two host cells responded to the infection of CSFV Shimen strain.The results showed that abnormal expression of key genes such as eukaryotic translation initiation factor4A3and proteasome subunit beta3may affect the physiological processes such as apoptosis and cycle regulation of host cells.GO and KEGG analysis showed that the infection of CSFV Shimen caused alterations in the biological processes such as NF-κB regulation,and signaling pathways such as DNA replication showed significant responses.Two transcriptomics analysis suggested that CSFV Shimen may have common damage to macrophages and vascular endothelial cells,providing valuable information for better research on the mechanism of interaction between CSFV and host cells.
作者
龚小程
胡傲雪
李雪鹏
吴中兴
何骏
郭少敏
宁蓬勃
GONG Xiao-cheng;HU Ao-xue;LI Xue-peng;WU Zhong-xing;HE Jun;GUO Shao-min;NING Peng-bo(School of Life Science and Technology,Xidian University,Xi′an,Shaanxi ,710071,China;The hospital of Northwest A&F University,Yangling,Shaanxi,712100,China)
出处
《动物医学进展》
北大核心
2018年第12期1-5,共5页
Progress In Veterinary Medicine
基金
国家自然科学基金面上项目(31470535)
关键词
猪瘟病毒
猪肺泡巨噬细胞
猪血管内皮细胞
转录组学关联分析
Classical swine fever virus
porcine alveolar macrophage
swine umbilical vein endothelial cell
transcriptomic analysis