遺伝子発現データからのパスウェイ探索法の現状とその適用事例

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2021/04/01

タイトル(英語): Current Status of Pathway Finding Methods based on Gene Expression Data and Their Application

著者名: 福岡　豊（工学院大学工学部），稻岡　秀検（北里大学医療衛生学部），小林　こず恵（北里大学医療衛生学部）

著者名(英語): Yutaka Fukuoka (Faculty of Enginieering, Kogakuin University), Hidenori Inaoka (School of Allied Health Sciences, Kitasato University), Kozue Kobayashi (School of Allied Health Sciences, Kitasato University)

キーワード: バイオインフォマティクス，DNAマイクロアレイ，遺伝子発現，パスウェイ，人工呼吸器誘発肺障害　　bioinformatics，DNA microarray，gene expression，pathway，ventilator-associated lung injury

要約(英語): DNA microarray technique is widely used to measure expressions of thousands of genes simultaneously. Data from this technique have a unique form; the number of parameters (genes) is huge whereas the number of measuring conditions (such as patients, time points, and cell lineages) is relatively small. Accordingly, data processing should be performed carefully. In particular, a method to narrow down the number of candidate genes is important to obtain meaningful results. In this paper, such techniques are discussed from different perspectives. First, a method to extract differentially expressed genes, which are the candidates of responsible genes, is introduced. In this method, a threshold for differential expression is determined depending on an expression level of each gene. Then some methods to find pathways, which show chemical relationships between genes, responsible for the differences in expression are described with an example from ventilator-associated lung injury.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.141 No.4 （2021） 特集：量子・情報・エレクトロニクス医療インタフェース

本誌掲載ページ: 499-504 p

原稿種別: 解説／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/141/4/141_499/_article/-char/ja/