Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain

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• 作者：Weiguo Li (1)
  Lina Chen (1)
  Wan Li (1)
  Xiaoli Qu (1)
  Weiming He (2)
  Yuehan He (1)
  Chenchen Feng (1)
  Xu Jia (1)
  Yanyan Zhou (1)
  Junjie Lv (1)
  Binhua Liang (3)
  Binbin Chen (1)
  Jing Jiang (1)
  
• 关键词：Human brain ; Development ; Aging ; miRNA ; Synergistic regulation
• 刊名：BMC Medical Genomics
• 出版年：2013
• 出版时间：December 2013
• 年：2013
• 卷：6
• 期：1
• 全文大小：1,016 KB
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  55. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1755-8794/6/55/prepub
  
• 作者单位：Weiguo Li (1)
  Lina Chen (1)
  Wan Li (1)
  Xiaoli Qu (1)
  Weiming He (2)
  Yuehan He (1)
  Chenchen Feng (1)
  Xu Jia (1)
  Yanyan Zhou (1)
  Junjie Lv (1)
  Binhua Liang (3)
  Binbin Chen (1)
  Jing Jiang (1)
  
  1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China
  2. Institute of Opto-electronics, Harbin Institute of Technology, Harbin, Heilongjiang Province, China
  3. National Microbology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
  
• ISSN：1755-8794

文摘

Background Structure and function of the human brain are subjected to dramatic changes during its development and aging. Studies have demonstrated that microRNAs (miRNAs) play an important role in the regulation of brain development and have a significant impact on brain aging and neurodegeneration. However, the underling molecular mechanisms are not well understood. In general, development and aging are conventionally studied separately, which may not completely address the physiological mechanism over the entire lifespan. Thus, we study the regulatory effect between miRNAs and mRNAs in the developmental and aging process of the human brain by integrating miRNA and mRNA expression profiles throughout the lifetime. Methods In this study, we integrated miRNA and mRNA expression profiles in the human brain across lifespan from the network perspective. First, we chose the age-related miRNAs by polynomial regression models. Second, we constructed the bipartite miRNA-mRNA regulatory network by pair-wise correlation coefficient analysis between miRNA and mRNA expression profiles. At last, we constructed the miRNA-miRNA synergistic network from the miRNA-mRNA network, considering not only the enrichment of target genes but also GO function enrichment of co-regulated target genes. Results We found that the average degree of age-related miRNAs was significantly higher than that of non age-related miRNAs in the miRNA-mRNA regulatory network. The topological features between age-related and non age-related miRNAs were significantly different, and 34 reliable age-related miRNA synergistic modules were identified using Cfinder in the miRNA-miRNA synergistic network. The synergistic regulations of module genes were verified by reviewing miRNA target databases and previous studies. Conclusions Age-related miRNAs play a more important role than non age-related mrRNAs in the developmental and aging process of the human brain. The age-related miRNAs have synergism, which tend to work together as small modules. These results may provide a new insight into the regulation of miRNAs in the developmental and aging process of the human brain.