DocumentCode :
614179
Title :
Data Mining Based Analysis of Genomic Location Shifts of Conserved Annotated miRNA Genes gives Preliminary Insights on Molecular Network Evolution
Author :
Michon, F.
Author_Institution :
Dev. Biol. Program, Univ. of Helsinki, Helsinki, Finland
fYear :
2013
fDate :
25-28 March 2013
Firstpage :
1517
Lastpage :
1524
Abstract :
Micro-RNAs (miRNAs) are key regulators of gene expression. Their post-transcriptional regulatory role was conserved in all eukaryotes during evolution. However, the genomic location of conserved miRNA genes has not been studied in the context of genetic network evolution. This study is based on the data mining of miRNA and genomic annotation databases. An individual retrieval of the genomic location of the 3,216 miRNA genes annotated in Danio rerio, Xenopus tropicalis, Rattus norvegicus, Mus musculus and Homo sapiens genome was performed. Despite a fairly constant proportion of protein coding sequences in vertebrates, approximately 60% of the conserved intergenic miRNA genes reported in zebra fish shift to an intragenic location in human genome. This phenomenon may be explained by duplication and/or transposition mechanisms. The increase of tight regulatory units in higher vertebrates, in which targets of intragenic miRNAs are within the host gene network, emphasized the importance of miRNAs and probably led to the appearance of oncogenic miRNAs (oncomiRs) that are mainly intragenic.
Keywords :
RNA; biology computing; data mining; database management systems; genomics; conserved annotated miRNA genes; data mining; genomic annotation databases; genomic location shifts; micro-RNA; molecular network evolution; Bioinformatics; Databases; Encoding; Evolution (biology); Genomics; Mice; Proteins; conservation; genomic evolution; host gene; miRNA; miRtron; oncomiR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
Type :
conf
DOI :
10.1109/WAINA.2013.263
Filename :
6550611
Link To Document :
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