Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
Letters (Selected Paper)
RNA-Sequence Analysis by Next-Generation Sequencer for the Early Diagnosis of Respiratory Disease
Yoshihito FUKANO, Yuki MIYAZAWA, Taiju MIKOSHI, Toshio INOUE, Shuuichirou MARUOKA, Kazumichi KURODA, Yasuhiro GON, Shu HASHIMOTO, Kenji YAMAGISHI
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Keywords:  NGS, Next Generation Sequence, RNA-seq, MRNA, NcRNA, Mapping pipeline
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2015 Volume 13 Issue 6 Pages 332-334

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Abstract

To establish a system for the early diagnosis of respiratory diseases, we developed a method for analyzing RNA sequence data obtained by next-generation sequencer identify genes showing altered expression as biomarkers of respiratory tract infection. The respiratory tracts of mice were exposed to lipopolysaccharide to establish a model of respiratory disease. Twenty-five genes exhibited significantly altered RNA expression following exposure. We identified non-coding RNAs in five regions that could be candidate biomarkers of respiratory diseases.

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© 2015 Society of Computer Chemistry, Japan
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