Establishment of Next-Generation Sequencer Data Analysis Methods and Exploration of Novel Gene Candidates

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  • MIYAZAWA Yuki
    Department of Chemical Biology and Applied Chemistry, College of Engineering, Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, 963-8642, Japan
  • FUKANO Yoshihito
    Department of Chemical Biology and Applied Chemistry, College of Engineering, Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, 963-8642, Japan
  • MIKOSHI Taiju
    Department of Computer Science, College of Engineering, Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, 963-8642, Japan
  • INOUE Toshio
    Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikamicho, Itabashi, 173-8610, Japan
  • MARUOKA Syuichirou
    Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikamicho, Itabashi, 173-8610, Japan
  • KURODA Kazumichi
    Department of Pathology and Microbiology Nihon University School of Medicine, 30-1, Oyaguchikamicho, Itabashi, 173-8610, Japan
  • GON Yasuhiro
    Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikamicho, Itabashi, 173-8610, Japan
  • HASHIMOTO Shu
    Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikamicho, Itabashi, 173-8610, Japan
  • YAMAGISHI Kenji
    Department of Chemical Biology and Applied Chemistry, College of Engineering, Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, 963-8642, Japan

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Other Title
  • NGS データ解析環境の導入と新規遺伝子候補の探索

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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