In silico identification of conserved microRNAs and their targets in bovine fat tissue

作者: HaiYang Wang , ShenHua Xiao , Min Wang , Nam-Hyung Kim , HuiXia Li

DOI: 10.1016/J.GENE.2015.01.021

关键词: BiologyIn silicoGeneTranscriptomeSmall RNAMicroarraymicroRNAAdipose tissueGeneticsExpressed sequence tag

摘要: Abstract MicroRNAs (miRNAs) represent a newly identified class of non-protein-coding ~ 22 nt small RNA which plays important roles in multiple biological processes by degrading targeted mRNA or repressing translation. Here we present EST (expressed sequence tags)-based and GSS (Genomic Survey Sequences)-based combined approach for the detection conserved miRNAs cattle. A total 20 that belong to 18 miRNA families were detected following range filtering criteria; their functions further predicted analyzed. To confirm our prediction, miRNA-detecting microarray was designed with probes complementary previously known mature sequences from 131 organisms. After hybridizing RNAs extracted beef cattle subcutaneous fat tissue, 219 (32.30%) 679 Bos taurus all above also detected. Conformation 22 most abundant expression qRT-PCR indicated they highly accumulated not only tissue but intramuscular tissue. Bioinformatics KEGG pathway analysis suggested 4 differential (miR-143, miR-145, miR-2325c miR-2361) involved different pathways target genes may regulate deposition differently. Taken together, results expand number bovine provide thorough account transcriptome adipose

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