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作 者:Chunping Zhao Fei Tian Ying Yu George Liu Linsen Zan M Scott Updike Jiuzhou Song
机构地区:[1]College of Animal Science and Technology,Northwest A&F University Yangling Shaanxi 7121O0 China [2]Department of Animal&Avian Sciences,University of Maryland,College Park,MD 20742,USA [3]Standards Division,USDA-Agricultural Marketing Service-National Organic Program,Washington D.C.,20250,USA [4]Department of Animal Breeding and Genetics,College of Animal Sciences,China Agricultural University,Beijing 100193 China [5]Bovine Functional Genomic Laboratory,Animal and Natural Resources Institute,USDA-Agricultural Research Service,Beltsville,MD 20705,USA
出 处:《Journal of Animal Science and Biotechnology》2012年第2期60-67,共8页畜牧与生物技术杂志(英文版)
基 金:supported by Maryland Agricultural Experiment Station and Jorgensen Endowment Funds
摘 要:miRNAs are a class of small, single-stranded, non-coding RNAs that perform post-transcriptional repression of target genes by binding to 3' untranslated regions. Research has found that miRNAs involved in the regulation of many metabolic processes. Here we uncovered that the beef quality of Angus cattle sharply diversified after acute stress. By performing miRNA microarray analysis, 13 miRNAs were significantly differentially expressed in stressed group compared to control group. Using a bioinformatics method, 135 protein-coding genes were predicted as the targets of significant differentially expressed miRNAs. Gene Ontology (GO) term and Ingenuity Pathway Analysis (IPA) mined that these target genes involved in some important pathways, which may have impact on meat quality and beef tenderness.miRNAs are a class of small, single-stranded, non-coding RNAs that perform post-transcriptional repression of target genes by binding to 3' untranslated regions. Research has found that miRNAs involved in the regulation of many metabolic processes. Here we uncovered that the beef quality of Angus cattle sharply diversified after acute stress. By performing miRNA microarray analysis, 13 miRNAs were significantly differentially expressed in stressed group compared to control group. Using a bioinformatics method, 135 protein-coding genes were predicted as the targets of significant differentially expressed miRNAs. Gene Ontology (GO) term and Ingenuity Pathway Analysis (IPA) mined that these target genes involved in some important pathways, which may have impact on meat quality and beef tenderness.
关 键 词:miRNA BOVINE Beef tenderness Stress
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