Genome-wide profiling of the microRNA-mRNA regulatory network in skeletal muscle with aging = 유전체 분석을 통한 노화에 따른 근육의 microRNA-mRNA 네트워크 규명

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Title
Genome-wide profiling of the microRNA-mRNA regulatory network in skeletal muscle with aging = 유전체 분석을 통한 노화에 따른 근육의 microRNA-mRNA 네트워크 규명
Author(s)
Ji Young Kim; Young Kyu Park; Kwang-Pyo LeeSeung Min Lee; Tae-Wook Kang; Hee Jin Kim; So Hee Dho; Seon-Young KimKi Sun Kwon
Bibliographic Citation
Aging-Us, vol. 6, no. 7, pp. 524-544
Publication Year
2014
Abstract
Skeletal muscle degenerates progressively, losing mass (sarcopenia) over time, which leads to reduced physical ability and often results in secondary diseases such as diabetes and obesity. The regulation of gene expression by microRNAs is a key event in muscle development and disease. To understand genome-wide changes in microRNAs and mRNAs during muscle aging, we sequenced microRNAs and mRNAs from mouse gastrocnemius muscles at two different ages (6 and 24 months). Thirty-four microRNAs (15 up-regulated and 19 down-regulated) were differentially expressed with age, including the microRNAs miR-206 and -434, which were differentially expressed in aged muscle in previous studies. Interestingly, eight microRNAs in a microRNA cluster at the imprinted Dlk1-Dio3 locus on chromosome 12 were coordinately down-regulated. In addition, sixteen novel microRNAs were identified. Integrative analysis of microRNA and mRNA expression revealed that microRNAs may contribute to muscle aging through the positive regulation of transcription, metabolic processes, and kinase activity. Many of the age-related microRNAs have been implicated in human muscular diseases. We suggest that genome-wide microRNA profiling will expand our knowledge of microRNA function in the muscle aging process.
Keyword
AgingImprinted Dlk1-Dio3MicroRNA clusterMicroRNA profilingNovel microRNASkeletal muscle
ISSN
1945-4589
Publisher
Impact Journals Llc
DOI
http://dx.doi.org/10.18632/aging.100677
Type
Article
Appears in Collections:
Aging Convergence Research Center > 1. Journal Articles
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