グラフ理論と小分子干渉の組み合わせを用いた生物学的ネットワークの化学ゲノムプロファイリング
Stephen J Haggarty1, Paul A Clemons, Stuart L Schreiber
1Departments of Chemistry and Chemical Biology and of Molecular and Cellular Biology, Howard Hughes Medical Institute, Harvard Institute of Chemistry & Cell Biology, Harvard University, 12 Oxford Street, Cambridge, MA 02138, USA.
Journal of the American Chemical Society
|August 28, 2003
まとめ
この研究は,酵母における化学遺伝相互作用を分析するための新しいグラフ理論のアプローチを導入しています. この方法は,生物学的ネットワークのユニークなトポロジカルな指紋を生成し,病気の研究を支援します.
科学分野:
- システム生物学 システム生物学
- 化学ゲノミクス 化学ゲノミクス
- グラフ理論 グラフ理論
背景:
- ゲノム全体の測定は,生物学的解釈のための豊富なデータを提供します.
- 小分子組合せの細胞効果を理解することは極めて重要です.
研究 の 目的:
- 化学的遺伝子相互作用を用いた生物学的ネットワークのプロファイリングのための方法を開発する.
- 遺伝子型に依存するトポロジカルな指紋を作成するために.
主な方法:
- Saccharomyces cerevisiaeのデリレーション株の2対の小分子組み合わせの2Dマトリックスを使用しました.
- グラフ理論を応用してデータをバイナリ隣接マトリックスとしてモデル化.
- 構築された化学遺伝ネットワークと計算されたグラフ理論の記述器.
主要な成果:
- 酵母消去株の遺伝子型に依存するトポロジカルな指紋を生成した.
- 遺伝ネットワーク構造が化学遺伝ネットワーク構造に影響することを実証した.
- 多次元化学ゲノムプロファイルの有用性を示しました.
結論:
- 化学的ゲノムプロファイリングは,生物学的ネットワークの混乱を特徴付けることができます.
- このアプローチは,複雑な現象型と疾患の分子基盤を明らかにするのに役立ちます.
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