title: Global analysis of miRNA gene clusters and gene families reveals dynamic and coordinated expression.
abstract: To further understand the potential expression relationships of miRNAs in miRNA gene clusters and gene families, a global analysis was performed in 4 paired tumor (breast cancer) and adjacent normal tissue samples using deep sequencing datasets. The compositions of miRNA gene clusters and families are not random, and clustered and homologous miRNAs may have close relationships with overlapped miRNA species. Members in the miRNA group always had various expression levels, and even some showed larger expression divergence. Despite the dynamic expression as well as individual difference, these miRNAs always indicated consistent or similar deregulation patterns. The consistent deregulation expression may contribute to dynamic and coordinated interaction between different miRNAs in regulatory network. Further, we found that those clustered or homologous miRNAs that were also identified as sense and antisense miRNAs showed larger expression divergence. miRNA gene clusters and families indicated important biological roles, and the specific distribution and expression further enrich and ensure the flexible and robust regulatory network.
authors.affiliation: Department of Epidemiology and Biostatistics and Ministry of Education Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Li
authors.initials: L
authors.lastname: Guo
authors.affiliation: Department of Epidemiology and Biostatistics and Ministry of Education Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Sheng
authors.initials: S
authors.lastname: Yang
authors.affiliation: Department of Epidemiology and Biostatistics and Ministry of Education Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: Department of Epidemiology and Biostatistics and Ministry of Education Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Reproductive Medicine, Department of Hygienic Analysis and Detection, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Wu
authors.affiliation: Department of Epidemiology and Biostatistics and Ministry of Education Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Chen
mesh_terms: D001940:Breast / Q000737:chemistry* / Q000378:metabolism; D001943:Breast Neoplasms / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D035683:MicroRNAs / Q000032:analysis / Q000235:genetics / Q000378:metabolism*; D005810:Multigene Family / Q000235:genetics*
chemical_list: D035683:MicroRNAs