Presentation 2013/6/20
Non-coding RNA analysis for gene expression regulation using bioinformatics tools
CHISATO HAYASHI, YEONDAE KWON, SATORU MIYAZAKI,
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Abstract(in English) Advances in genome analysis have revealed that a genomic DNA contains gene coding regions other than protein coding sequences and transcription-regulating regions. Among these regions, there exist RNA coding regions involved in transcription regulation as a primary function, RNAs transcribed from these regions are referred to as non-coding RNAs (ncRNAs). ncRNAs are known to affect regulation of transcription, but many functions are still unknown. On the other hand, since some ncRNAs specifically express in a particular disease, they may have potential for being used as drug targets. Also, while most of ncRNAs currently observed locate on intergenic regions of protein coding genes, some ncRNAs locate on intronic regions of protein coding genes. The aim of this work is to predict ncRNAs as drug targets regulating disease-associated genes based on positional relationship between protein genes and ncRNAs on a genome. In this paper, we compare ncRNAs located on intronic regions across species.
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Keyword(in English) non-coding RNA / gene expression / intron / database
Paper # Vol.2013-BIO-34 No.2
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Non-coding RNA analysis for gene expression regulation using bioinformatics tools
Sub Title (in English)
Keyword(1) non-coding RNA
Keyword(2) gene expression
Keyword(3) intron
Keyword(4) database
1st Author's Name CHISATO HAYASHI
1st Author's Affiliation Graduate School of Pharmaceutical Sciences, Tokyo University of Science()
2nd Author's Name YEONDAE KWON
2nd Author's Affiliation Department of Medical and Life Science, Faculty of Pharmaceutical Sciences, Tokyo University of Science
3rd Author's Name SATORU MIYAZAKI
3rd Author's Affiliation Department of Medical and Life Science, Faculty of Pharmaceutical Sciences, Tokyo University of Science
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.2
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 6
Date of Issue