Pre-disease Detection Using Dynamical Network Biomarkers in Gene Regulatory Networks with Cell-to-cell Interaction

Y. Saito*, H. Sasahara*, X. Shen*, J. Peña Ramirez*, J. Imura*, M. Oku, K. Aihara

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

1 被引用数 (Scopus)

抄録

Dynamical Network Biomarkers (DNB) theory has been proposed as a method for detecting diseases at a very early stage. The progression of a disease can be regarded as a bifurcation phenomenon of the underlying dynamical system associated with the corresponding gene network. By identifying large fluctuations of the gene expression level occurring just before the bifurcation, we can detect the pre-disease stage without identifying the mathematical model of the dynamical system. However, the existing DNB theory mainly focuses on a single gene network representing averaged dynamics of multiple cells not explicitly handling a group of cells with cell-to-cell interaction. In this study, we extend the DNB theory to the case where cell-to-cell interaction is also taken into account. Ultimately, our analysis reveals that the pre-disease stage can be detected from the observation of the average gene expression when the bifurcation is induced by the intrinsic dynamics of the cells, whereas it remains undetectable when the bifurcation is produced by the interaction.

本文言語英語
ホスト出版物のタイトルIFAC-PapersOnLine
編集者Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
出版社Elsevier B.V.
ページ6459-6464
ページ数6
2
ISBN(電子版)9781713872344
DOI
出版ステータス出版済み - 2023/07/01
イベント22nd IFAC World Congress - Yokohama, 日本
継続期間: 2023/07/092023/07/14

出版物シリーズ

名前IFAC-PapersOnLine
番号2
56
ISSN(電子版)2405-8963

学会

学会22nd IFAC World Congress
国/地域日本
CityYokohama
Period2023/07/092023/07/14

ASJC Scopus 主題領域

  • 制御およびシステム工学

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