フォース・フィードバックは,自己組み立ての分岐アクチン・ネットワークの運動活動と機械的性質を制御する
Peter Bieling1, Tai-De Li2, Julian Weichsel3
1Department of Cellular and Molecular Pharmacology and Howard Hughes Medical Institute, University of California, San Francisco, Genentech Hall, 600 16(th) Street, San Francisco, CA 94158, USA; Department of Bioengineering and Biophysics Program, University of California, Berkeley, 648 Stanley Hall MC 1762, Berkeley, CA 94720, USA.
Cell
|January 16, 2016
まとめ
機械的な負荷は 枝分かれしたアクチンネットワークを より硬く強くします この自己組み立てプロセスは 記憶を備えたアクチンネットワークを生み出し 力の作用下でその力と効率を高めます
科学分野:
- 細胞生物学
- バイオ物理学
- 材料科学
背景:
- 枝分かれしたアクチンネットワークは 力の生成と伝達を必要とする 細胞プロセスに不可欠です
- 機械的な力に対するこれらのネットワークの反応はよく理解されていません.
研究 の 目的:
- 機械的な負荷にどのように反応するかを調査する.
- これらのネットワークの分子組成と物質特性を定量化します.
主な方法:
- 精製した成分から分岐したアクチンネットワークを in vitro で組み立てる.
- ネットワークの特性を測定するために同時に光と原子力顕微鏡を用いる.
主要な成果:
- 機械的な負荷はネットワークの密度,電力,効率を高めました.
- 密度の増加は長さではなく 繊維の数と幾何学的な変化によるものです
- 負荷されたネットワークは,同位体ネットワークと比較して,硬さと故障抵抗性が向上した.
結論:
- 枝分かれしたアクチンネットワークは 固有の力フィードバックメカニズムを示します
- 機械的な抵抗は,ネットワークの硬さ,強さ,および力を改善します.
- これらのネットワークは 機械の歴史を記憶し 特性や運動活動に影響を与えます
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