騒々しい生化学信号ネットワークの情報伝達能力
Raymond Cheong1, Alex Rhee, Chiaochun Joanne Wang
1Department of Biomedical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA.
Science (New York, N.Y.)
|September 17, 2011
まとめ
分子ノイズは細胞の信号伝達を制限する. 複雑なネットワークと情報理論は,腫瘍死滅因子 (TNF) の経路が,ボトルネックにもかかわらず正確な決定を達成し,細胞情報処理の洞察を提供することを明らかにします.
科学分野:
- 細胞生物学 細胞生物学
- システム生物学 システム生物学
- 情報理論は情報理論である.
背景:
- 個々の細胞内の分子騒音は,信号解像度と環境情報収集を制限する.
- 冗長性のある複雑な信号ネットワークは,これらの制約を克服する可能性がある.
研究 の 目的:
- 分子および細胞ネットワークにおける情報伝導を定量的に予測および測定するための枠組みを開発する.
- 腫瘍死滅因子 (TNF) 信号伝達経路における情報処理を分析する.
主な方法:
- 統合的理論的および実験的アプローチを用いた.
- 情報の変換を定量化するために情報理論の形式主義を適用した.
- アップストリームボトルネックやフィードバックメカニズムを含むTNF信号ネットワークを分析した.
主要な成果:
- 個々のTNFシグナル伝達経路は,正確なバイナリ決定のための十分な情報を提供します.
- アップストリームボトルネックは,複数の統合された経路からの情報取得を制限します.
- ボトルネックに対するネガティブなフィードバックは,ボトルネックの制限効果を調節し,ノイズと情報獲得に影響を与えます.
- ボトルネックはまた,多遺伝子および多細胞の信号伝達ネットワークの情報を制限します.
結論:
- セルラー信号ネットワークは,分子ノイズを克服し,情報処理を強化する戦略を採用しています.
- ネットワークのボトルネックを理解することは,情報転送の効率を予測するために非常に重要です.
- 情報理論は,複雑な生物信号システムを分析するための強力なツールを提供します.
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