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miRGator: An integrated system for functional annotation of microRNAs

Title
miRGator: An integrated system for functional annotation of microRNAs
Authors
Nam S.Kim B.Shin S.Lee S.
Ewha Authors
이상혁
SCOPUS Author ID
이상혁scopus
Issue Date
2008
Journal Title
Nucleic Acids Research
ISSN
0305-1048JCR Link
Citation
vol. 36, no. SUPPL. 1, pp. D159 - D164
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
MicroRNAs (miRNAs) constitute an important class of regulators that are involved in various cellular and disease processes. However, the functional significance of each miRNA is mostly unknown due to the difficulty in identifying target genes and the lack of genome-wide expression data combining miRNAs, mRNAs and proteins. We introduce a novel database, miRGator, that integrates the target prediction, functional analysis, gene expression data and genome annotation. MiRNA function is inferred from the list of target genes predicted by miRanda, PicTar and TargetScanS programs. Statistical enrichment test of target genes in each term is performed for gene ontology, pathway and disease annotations. Associated terms may provide valuable insights for the function of each miRNA. For the expression analysis, miRGator integrates public expression data of miRNA with those of mRNA and protein. Expression correlation between miRNA and target mRNA/proteins is evaluated and their expression patterns can be readily compared. Our web implementation supports diverse query types including miRNA name, gene symbol, gene ontology, pathway and disease terms. Interfaces for exploring common targets or regulatory miRNAs and for profiling compendium expression data have been developed as well. Currently, miRGator, available at: http://genome.ewha.ac.kr/miRGator/, supports the human and mouse genomes. © 2007 The Author(s).
DOI
10.1093/nar/gkm829
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자연과학대학 > 생명과학전공 > Journal papers
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