| Ssc-miR-133a-5p的靶基因预测及其相关信号通路的生物信息学分析 |
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| 引用本文： | 常雪蕊,赵志显,赵俊金,邓晓彬,刘刚,张永红,郭勇,倪和民,王楚端,邢凯.Ssc-miR-133a-5p的靶基因预测及其相关信号通路的生物信息学分析[J].猪业科学,2020,37(12):102-105. |
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| 作者姓名： | 常雪蕊 赵志显 赵俊金 邓晓彬 刘刚 张永红 郭勇 倪和民 王楚端 邢凯 |
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| 作者单位： | 北京农学院动物科学技术学院, 北京 102206,北京农学院动物科学技术学院, 北京 102206,全国畜牧总站, 北京 100193,北京田园奥瑞生物科技有限公司, 北京 100096,全国畜牧总站, 北京 100193,北京农学院动物科学技术学院, 北京 102206,北京农学院动物科学技术学院, 北京 102206,北京农学院动物科学技术学院, 北京 102206,中国农业大学动物科学技术学院, 北京 100194,北京农学院动物科学技术学院, 北京 102206 |
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| 基金项目： | 北京市教委2019年度科技计划一般项目（KM201910020010）；生猪产业技术体系北京市创新团队（BAIC02-2020） |
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| 摘 要： | 课题组前期通过高通量测序技术发现，microRNAssc-miR-133a-5p在肥胖猪脂肪组织中表达水平显著下调，推测其可能在脂肪沉积过程中发挥了重要作用。分析ssc-miR-133a-5p序列保守性，利用TargetScan，miRDB和miRWalk在线分析工具预测其候选靶基因，进一步对候选靶基因进行蛋白质互作分析以及KEGG分析，最后将预测的靶基因与课题组前期筛选出的与猪脂肪沉积能力相关的基因取交集。结果表明ssc-miR-133a-5p候选靶基因PPARGC1A与RORA等，参与AMPK，TNF，与胰岛素分泌等信号通路。结果提示ssc-miR-133a-5p的候选靶基因可能通过多种信号通路发挥重要作用。文章的结果可为microRNA参与猪的脂肪生成调节机制提供科学依据。
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| 关 键 词： | ssc-miR-133a-5p 靶基因预测 信号通路 |
| 收稿时间： | 2020/9/25 0:00:00 |
Bioinformatics analysis of ssc-miR-133a-5p target gene prediction and related signal pathways |
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| Xuerui Chang,Zhixian Zhao,Junjin Zhao,Xiaobin Deng,Gang Liu,Yonghong Zhang,Yong Guo,Hemin Ni,Chuduan Wang and Kai Xing.Bioinformatics analysis of ssc-miR-133a-5p target gene prediction and related signal pathways[J].Swine Industry Science,2020,37(12):102-105. |
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| Authors: | Xuerui Chang Zhixian Zhao Junjin Zhao Xiaobin Deng Gang Liu Yonghong Zhang Yong Guo Hemin Ni Chuduan Wang and Kai Xing |
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| Institution: | College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China,College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China,National Animal Husbandry Service, Beijing 10019, China,Beijing Green Auris Biotechnology Co., Ltd., Beijing 100096, China,National Animal Husbandry Service, Beijing 10019, China,College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China,College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China,College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China,College of Animal Science and Technology, China Agricultural University, Beijing 100193, China and College of Animal Science and Technology, Beijing University Of Agriculture, Beijing 102206, China |
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| Abstract: | In the early stage of our research group, through high-throughput sequencing technology, it was found that the expression level of microRNAssc-miR-133a-5p in the fat tissue of obese pigs was signifi cantly down-regulated. It is speculated that it may play an important role in the process of fat deposition. We Analyzed the conservation of ssc-miR-133a-5p sequence, used TargetScan, miRDB and miRWalk online analysis tools to predict its candidate target genes, and further analyzed candidate target genes for protein interaction and KEGG pathway analysis, and fi nally predicted the target genes intersection with genes related to pig fat deposition ability screened by the research group in the early stage. The results show that ssc-miR-133a-5p candidate target genes PPARGC1A and RORA are involved in signal pathways such as AMPK, TNF, and insulin secretion. The results suggest that candidate target genes of ssc-miR-133a-5p may play an important role through multiple signaling pathways.The results of this study can provide a scientific basis for microRNA to participate in the regulation of pig adipogenesis. |
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| Keywords: | Ssc-miR-133a-5p Target gene prediction Signal pathway |
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