核心竞争的内源RNA网络基于mRNA和非编码RNA表达特征在的脂肪肝
Qingxing Xiao1, Yonghong Zhang1, Hongyu Ni1
1College of Animal Science, Jilin University, Changchun, China.
Animal genetics
|August 21, 2024
概括
这项研究揭示了关键的长非编码RNAs (lncRNAs) 和microRNAs (miRNAs) 参与脂肪肝疾病. 了解这些竞争的内源性RNA (ceRNA) 网络,可以了解代谢疾病机制.
科学领域:
- * 动物科学 动物科学
- * 分子生物学 * 分子生物学
- * 遗传学 在遗传学方面
背景情况:
- *脂肪肝病是中普遍存在的代谢障碍,影响蛋产量和死亡率.
- *长非编码RNAs (lncRNAs) 在脂肪肝中发挥作用,通过调节基因表达,通常通过microRNA (miRNA) 相互作用.
- *在中控制脂肪肝疾病的特定竞争性内源性RNA (ceRNA) 网络仍然在很大程度上没有表征.
研究的目的:
- * 为了识别与Jingxing-Huang的脂肪肝疾病相关的差异表达基因 (DEG),miRNA和lncRNA.
- * 构建和分析一个lncRNA-miRNA-mRNA ceRNA网络,以阐明脂肪肝疾病背后的分子机制.
- * 为了解肝和脂肪组织的转录后调节提供资源.
主要方法:
- * 在300只京兴黄中构建脂肪肝模型.
- * 全转录组测序用于在脂肪肝和对照组之间识别差异表达基因 (DEG),miRNA和lncRNA.
- *生物信息分析包括基因本体学,基因和基因组丰富的京都百科全书,以及用于ceRNA网络构建的Cytoscape.
主要成果:
- *识别了953个DEG,包括26个差异表达的miRNA和56个差异表达的lncRNA.
- * 丰富分析表明DEGs参与脂肪酸代谢和脂质合成途径.
- * 一个lncRNA-miRNA-mRNA ceRNA网络的构建揭示了关键的调控相互作用,突出显示了ENSGALT00000079786-miR-140/miR-143/miR-1a/miR-22/miR-375网络.
结论:
- *这项研究成功地构建了一个涉及脂肪肝疾病病变的ceRNA网络.
- * 特定的lncRNAs,miRNAs和mRNAs被确定为这个网络的关键组成部分.
- *这些发现为管理肝和脂肪组织的转录后调节机制提供了宝贵的见解.
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