著者

深野 義人 宮澤 由妃 見越 大樹 井上 寿男 丸岡 秀一郎 黒田 和道 権 寧博 橋本 修 山岸 賢司

出版者

Society of Computer Chemistry, Japan

雑誌

Journal of Computer Chemistry, Japan (ISSN:13471767)

巻号頁・発行日

vol.13, no.6, pp.332-334, 2015

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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.

著者

宮澤 由妃 深野 義人 見越 大樹 井上 寿男 丸岡 秀一郎 黒田 和道 権 寧博 橋本 修 山岸 賢司

出版者

日本コンピュータ化学会

雑誌

Journal of Computer Chemistry, Japan (ISSN:13471767)

巻号頁・発行日

vol.13, no.6, pp.310-311, 2014 (Released:2014-12-31)

参考文献数

4

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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.