A dictionary on microRNAs and their putative target pathways. Backes, C., Meese, E., Lenhof, H., & Keller, A. Nucleic acids research, 38:4476–4486, July, 2010.
doi  abstract   bibtex   
While in the last decade mRNA expression profiling was among the most popular research areas, over the past years the study of non-coding RNAs, especially microRNAs (miRNAs), has gained increasing interest. For almost 900 known human miRNAs hundreds of pretended targets are known. However, there is only limited knowledge about putative systemic effects of changes in the expression of miRNAs and their regulatory influence. We determined for each known miRNA the biochemical pathways in the KEGG and TRANSPATH database and the Gene Ontology categories that are enriched with respect to its target genes. We refer to these pathways and categories as target pathways of the corresponding miRNA. Investigating target pathways of miRNAs we found a strong relation to disease-related regulatory pathways, including mitogen-activated protein kinase (MAPK) signaling cascade, Transforming growth factor (TGF)-beta signaling pathway or the p53 network. Performing a sophisticated analysis of differentially expressed genes of 13 cancer data sets extracted from gene expression omnibus (GEO) showed that targets of specific miRNAs were significantly deregulated in these sets. The respective miRNA target analysis is also a novel part of our gene set analysis pipeline GeneTrail. Our study represents a comprehensive theoretical analysis of the relationship between miRNAs and their predicted target pathways. Our target pathways analysis provides a 'miRNA-target pathway' dictionary, which enables researchers to identify target pathways of differentially regulated miRNAs.
@Article{Backes2010,
  author          = {Backes, Christina and Meese, Eckart and Lenhof, Hans-Peter and Keller, Andreas},
  title           = {A dictionary on microRNAs and their putative target pathways.},
  journal         = {Nucleic acids research},
  year            = {2010},
  volume          = {38},
  pages           = {4476--4486},
  month           = jul,
  issn            = {1362-4962},
  abstract        = {While in the last decade mRNA expression profiling was among the most popular research areas, over the past years the study of non-coding RNAs, especially microRNAs (miRNAs), has gained increasing interest. For almost 900 known human miRNAs hundreds of pretended targets are known. However, there is only limited knowledge about putative systemic effects of changes in the expression of miRNAs and their regulatory influence. We determined for each known miRNA the biochemical pathways in the KEGG and TRANSPATH database and the Gene Ontology categories that are enriched with respect to its target genes. We refer to these pathways and categories as target pathways of the corresponding miRNA. Investigating target pathways of miRNAs we found a strong relation to disease-related regulatory pathways, including mitogen-activated protein kinase (MAPK) signaling cascade, Transforming growth factor (TGF)-beta signaling pathway or the p53 network. Performing a sophisticated analysis of differentially expressed genes of 13 cancer data sets extracted from gene expression omnibus (GEO) showed that targets of specific miRNAs were significantly deregulated in these sets. The respective miRNA target analysis is also a novel part of our gene set analysis pipeline GeneTrail. Our study represents a comprehensive theoretical analysis of the relationship between miRNAs and their predicted target pathways. Our target pathways analysis provides a 'miRNA-target pathway' dictionary, which enables researchers to identify target pathways of differentially regulated miRNAs.},
  chemicals       = {MicroRNAs, RNA, Messenger},
  citation-subset = {IM},
  completed       = {2010-08-24},
  country         = {England},
  doi             = {10.1093/nar/gkq167},
  issn-linking    = {0305-1048},
  issue           = {13},
  keywords        = {Cluster Analysis; Dictionaries as Topic; Gene Expression Regulation; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; MicroRNAs, metabolism; Neoplasms, genetics; RNA, Messenger, metabolism},
  nlm-id          = {0411011},
  owner           = {NLM},
  pii             = {gkq167},
  pmc             = {PMC2910047},
  pmid            = {20299343},
  pubmodel        = {Print-Electronic},
  pubstatus       = {ppublish},
  revised         = {2017-02-20},
}
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