摘要
【目的】找到与猪脂肪沉积相关的候选靶基因,为ssc-miR-17-3p参与脂肪沉积调控机制研究提供相关理论依据。【方法】利用miRDB,miRWalk和TargetScan数据库获得了miRNA-17-3p候选靶基因;利用DAVID和KOBAS数据库对候选靶基因进行了KEGG/GO功能富集分析,并通过Cytoscape可视化工具构建了其可能参与的调控网络。【结果】结果表明,ssc-miR-17-3p候选靶基因TSTD2、CSDE1、SCGB1D1、TEAD1、GPD2、NFATC3、MBNL1、PPP1R12B、CAMK2D、HBEGF、LRRC28、UBE2D4、MAP4与脂肪沉积有关。GPD2、CAMK2D、HBEGF等可能在催产素信号通路、MAPK信号通路、GnRH信号通路,以及脂质代谢、甘油磷脂代谢、糖醇代谢、大分子代谢,细胞代谢等过程发挥了作用。【结论】ssc-miR-17-3p可能通过调控多个靶基因,信号通路和生物过程影响脂肪的沉积与代谢,其功能有待进一步实验室试验验证。
[Objective]Finding candidate target genes related to pig fat deposition provides a theoretical basis for the study of ssc-miR-17-3 p involved in the regulation of fat deposition.[Methods]The candidate target gene of miRNA-17-3 p was obtained by using miRDB,miRWalk and TargetScan database;The KEGG/GO functional enrichment analysis of candidate target genes was carried out by using DAVID and KOBAS database,and the regulatory network that they might participate in was constructed by Cytoscape visualization tool.[Results]The results showed that the candidate target genes of ssc-miR-17-3 p,including TSTD2,CSDE1,SCGB1 D1,TEAD1,GPD2,NFATC3,MBNL1,PPP1 R12 B,CAMK2 D,HBEGF,LRRC28,UBE2 D4 and MAP4,were associated with fat deposition.GPD2,CAMK2 D and HBEGF might play an important role in oxytocin signal pathway,MAPK signal pathway,GnRH signal pathway,as well as lipid metabolism,glycerophospholipid metabolism,alditol metabolic process,macromolecular metabolism,cell metabolism and so on.[Conclusion]ssc-miR-17-3 p might affect fat deposition and metabolism by regulating multiple target genes,signal pathways and biological processes,but its function needs to be verified by further laboratory experiments.
作者
赵志显
邢凯
常雪蕊
齐晓龙
盛熙晖
倪和民
王相国
肖龙菲
王楚端
郭勇
ZHAO Zhixian;XING Kai;CHANG Xuerui;QI Xiaolong;SHENG Xihui;Ni Hemin;WANG Xiangguo;XIAO Longfei;WANG Chuduan;GUO Yong(Animal Science and Technology College,Beijing U niversity of Agriculture,Beijing 102206,China;College of Animal Science and Technology,China Agricultural University,Beijing 100193»China)
出处
《北京农学院学报》
2021年第2期6-10,共5页
Journal of Beijing University of Agriculture
基金
国家重点研发计划资助(2018YFD0501000)
生猪产业技术体系北京市创新团队(BAIC02-2020)
北京市教委2019年度科技计划一般项目(KM201910020010)。