中国农业科学2013，Vol.46Issue(6)：1247-1255,9.DOI:10.3864/j.issn.0578-1752.2013.06.019
鸡下丘脑高丰度miR-101的组织表达谱与功能预测分析
Tissue Expression Profile and Bioinformatics Analysis of Abundance miR-101 from the Hypothalamus of Chicken
摘要
Abstract
[Objective] The objective of this study is to comprehensively understand the chicken hypothalamus abundance miR-101 expression and potential biological function which will lay a foundation for revealing the molecular mechanisms of hypothalamic regulation of the chicken energy balance.[Method] Stem-loop quantitative RT-PCR was used to detect the miR-101 expression in 13 different tissues of Gu-shi chicken at four developmental stages.The algorithms PicTar was used to predict miR-101 putative target genes.Gene Ontology,pathway and stratified enrichment were analyzed respectively to target genes.[Result]MiR-101 expression exhibitted striking temporal and tissue specificities.The miR-101 expression levels in different tissues of embryonic stages were significantly higher than the expression levels in homologous tissues of hatched chicks,the expression levels in the brain tissues were also significantly higher than the other tissues examined.MiR-101 had abundance enrichment in hypothalamus at 14 d embryonic age and in small intestine and crura muscle at 17 d embryonic age.Predicted target genes of miR-101 were significantly enriched in biological regulation,metabolic processes,developmental processes and cellular processes.Bioinformatics analysis of the nervous system development displayed that the regulatory function of miR-101 was mainly involved in brain development,neuron differentiation,regulation of neurogenesis,glial cell differentiation,astrocyte differentiation,and so on.[Conclusion] MiR-101 was the high expression miRNA in brain tissue,and may play an important role in regulating biological processes related to brain development.关键词
miR-101/组织表达谱/靶基因/GO富集分析/鸡Key words
miR-101/ tissue expression profile/ target genes/ GO term enrichment/ chicken引用本文复制引用
李国喜,王乐乐,孙桂荣,康相涛..鸡下丘脑高丰度miR-101的组织表达谱与功能预测分析[J].中国农业科学,2013,46(6):1247-1255,9.基金项目
国家自然科学基金项目(31072023) （31072023）
