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Target Gene and Function Prediction of Differentially Expressed MicroRNAs in Lactating Mammary Glands of Dairy Goats

机译:乳山羊乳腺中差异表达microRNA的靶基因和功能预测

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摘要

MicroRNAs are small noncoding RNAs that can regulate gene expression, and they can be involved in the regulation of mammary gland development. The differential expression of miRNAs during mammary gland development is expected to provide insight into their roles in regulating the homeostasis of mammary gland tissues. To screen out miRNAs that should have important regulatory function in the development of mammary gland from miRNA expression profiles and to predict their function, in this study, the target genes of differentially expressed miRNAs in the lactating mammary glands of Laoshan dairy goats are predicted, and then the functions of these miRNAs are analyzed via bioinformatics. First, we screen the expression patterns of 25 miRNAs that had shown significant differences during the different lactation stages in the mammary gland. Then, these miRNAs are clustered according to their expression patterns. Computational methods were used to obtain 215 target genes for 22 of these miRNAs. Combining gene ontology annotation, Fisher's exact test, and KEGG analysis with the target prediction for these miRNAs, the regulatory functions of miRNAs belonging to different clusters are predicted.
机译:MicroRNA是可以调节基因表达的小型非编码RNA,它们可以参与乳腺发育的调节。预期miRNA在乳腺发育过程中的差异表达将提供其在调节乳腺组织稳态中的作用的见解。为了从miRNA表达谱中筛选出在乳腺发育中应具有重要调控功能的miRNA,并预测其功能,在本研究中,预测了shan山奶山羊泌乳乳腺中差异表达的miRNA的靶基因,并且然后通过生物信息学分析这些miRNA的功能。首先,我们筛选了25个miRNA的表达模式,这些表达在乳腺的不同泌乳阶段均表现出明显差异。然后,这些miRNA根据它们的表达模式聚类。使用计算方法获得了这些miRNA中22种的215个靶基因。将基因本体注释,Fisher精确检验和KEGG分析与这些miRNA的目标预测相结合,可以预测属于不同簇的miRNA的调控功能。

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