Target Gene and Function Prediction of Differentially Expressed MicroRNAs in Lactating Mammary Glands of Dairy Goats
Author(s) -
Fei Dong,
Zhibin Ji,
Cun-Xian Chen,
Guizhi Wang,
Jianmin Wang
Publication year - 2013
Publication title -
international journal of genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.705
H-Index - 24
eISSN - 2314-4378
pISSN - 2314-436X
DOI - 10.1155/2013/917342
Subject(s) - microrna , biology , mammary gland , gene , gene expression , lactation , function (biology) , regulation of gene expression , computational biology , kegg , genetics , gene ontology , cancer , pregnancy , breast cancer
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.
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