| 摘要: |
| 为筛选miR-184-3p影响鸭脂肪生成的关键靶基因，本研究首先利用在线数据库预测miR-184-3p靶基因，并对靶基因进行富集分析和蛋白-蛋白相互作用（Protein-protein interaction，PPI）网络构建，寻找网络图中有意义的模块，然后分析靶基因在脂肪中的表达，再依据microRNA对靶基因负相关的作用机制筛选关键靶基因。最后，通过RNA22 v2对筛选结果进行评估。结果表明：1）共获得225个靶基因。2）GO富集分析显示，靶基因参与细胞和大分子生物合成过程的负调控过程；KEGG富集结果包含Notch信号传导途径、动物线粒体自噬和内吞作用3条显著通路。3）PPI网络图共筛选4个核心基因；4）表达谱分析共筛选到4个基因，DVL3（Dishevelled segment polarity protein 3）、HOXA9（homeobox A9）、LIFR（LIF receptor subunit alpha）和SPECC1L（Sperm antigen with calponin homology and coiled-coil domains 1 like）；而RNA22 v2评估结果显示，仅LIFR存在P<0.05的结合位点。综上，miR-184-3p很可能通过靶向DVL3、HOXA9、LIFR和SPECC1L影响鸭脂肪发育，其中LIFR尤为重要。本研究为进一步研究鸭miR-184-3p提供了理论基础和数据支撑。 |
| 关键词: 鸭 miR-184-3p 脂肪生成 生物信息学 |
| DOI：10.11841/j.issn.1007-4333.2024.02.15 |
| 投稿时间：2022-10-24 |
| 基金项目:高校优秀青年人才支持重点项目（gxyqZD2022017）；安徽省教育厅高校自然科学研究重点项目（2022AH050928）；安徽省科技重大专项（201903a06020018和202103b06020015）；安徽省高校协同创新项目（GXXT-2021-052）；校级质量工程项目（2022yjsjy03和2022auxqhz002）；高校产学研合作项目（KJ2021565和KJ2021357）；教育部产学合作协同育人项目（221000488095409） |
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| Analysis of duck adipogenesis-related miR-184-3p and screening of key target genes |
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JIN Sihua, JIA Fumin, FENG Lu, SHUI Fei, WANG Xin, FANG Yi, CHANG Liang, LI Xin, GENG Zhaoyu*
|
| (College of Animal Science and Technology， Anhui Agricultural University， Hefei 230036， China) |
| Abstract: |
| In order to identify the key target genes of miR-184-3p affecting adipogenesis， the online databases were used to predict the miR-184-3p target genes and perform enrichment analysis of the target genes. Protein-protein interaction （PPI） networks were constructed to find the meaningful modules in the network diagram. Subsequently， the expression of target genes in adipose was analyzed， and then the key target genes were screened based on the mechanism of negative correlation between microRNA and target genes. Finally， the screening results were evaluated by RNA22 v2. The results showed that： 1） A total of 225 target genes were obtained. 2） GO enrichment analysis showed that target genes were involved in negative regulatory processes in cellular and macromolecular biosynthesis processes； The KEGG enrichment results contained three significant pathways， Notch signaling pathway， animal mitochondrial autophagy， and endocytosis. 3） A total of 4 core genes were screened in the PPI network. 4） Analysis of expression profiles screened a total of 4 genes. DVL3 （Dishevelled segment polarity protein 3）， HOXA9 （homeobox A9）， LIFR （LIF receptor subunit alpha）， and SPECC1L （Sperm antigen with calponin homology and coiled-coil domains 1 like）； while the RNA22 v2 evaluation showed that only LIFR had binding sites at P<0.05. Taken together， the miR-184-3p was likely to affect duck adipogenesis by targeting DVL3， HOXA9， LIFR， and SPECC1L， with LIFR being particularly important. This study will provide a theoretical basis and data support for further study of duck miR-184-3p. |
| Key words: duck miR-184-3p adipogenesis bioinformatics |
