Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
Letters (Selected Paper)
Establishment of Next-Generation Sequencer Data Analysis Methods and Exploration of Novel Gene Candidates
Yuki MIYAZAWAYoshihito FUKANOTaiju MIKOSHIToshio INOUESyuichirou MARUOKAKazumichi KURODAYasuhiro GONShu HASHIMOTOKenji YAMAGISHI
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2014 Volume 13 Issue 6 Pages 310-311

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Abstract
Next-generation sequencers (NGS) have made it possible to analyze entire genome sequence. NGS can be used for the identification of genes associated with a wide variety of diseases. We investigate RNAs encoded by intergenic regions to identify novel genes that are involved in respiratory diseases. The respiratory tracts of mice were exposed to lipopolysaccharide to establish a model of respiratory disease. RNA expression levels in the mouse exosome were analyzed by NGS to identify genes involved in the development of respiratory diseases. Several disease-related regions exhibited altered expression levels of intergenic RNAs.
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© 2014 Society of Computer Chemistry, Japan
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