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マイクロRNAのターゲティング効果の生化学的基礎
Sean E McGeary1,2,3, Kathy S Lin1,2,3,4, Charlie Y Shi1,2,3
1Howard Hughes Medical Institute, Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Science (New York, N.Y.)
|December 7, 2019
まとめ
研究者はマイクロRNA (miRNA) の結合親和性を測定する新しい方法を開発し,遺伝子抑制の重要な要因を明らかにしました. この生化学モデルは 遺伝子規制ネットワークの 細胞抑制の予測を大幅に改善します
科学分野:
- 分子生物学
- 遺伝学
- バイオ情報学
背景:
- マイクロRNA (miRNA) は,アルゴナウトタンパク質内のメッセンジャーRNA (mRNA) 標的に結合することによって遺伝子発現を調節する.
- miRNA標的結合親和性に関する限られた定量データは,遺伝子抑制の有効性を正確に予測することを妨げています.
- miRNAのターゲティングを理解することは,遺伝子規制ネットワークの解読に不可欠です.
研究 の 目的:
- アルゴナウト-ミRNA複合体の短いRNA配列に対する相対結合親和度を測定する方法を開発する.
- miRNA- 標的相互作用と抑制有効性を影響する配列特性を特定する.
- miRNA媒介による遺伝子抑制の予測的生化学モデルを構築する.
主な方法:
- RNA bind-n-seq (RBNS) の適応は,アルゴナウト-miRNA複合体と長さ12核酸までの配列間の結合親和性を測定する.
- miRNA結合に影響を与える非正規の部位と付近のダイヌクレオチドを含む配列決定因子の分析
- 細胞抑制を予測するために生化学データを統合したコンボリューションニューラルネットワークモデルの開発.
主要な成果:
- 特定されたmiRNA特異的な非正規の標的部位と正規の部位 afinities の変異.
- 標的部位の親和性に対する側面ダイヌクレオチドの有意な影響 (最大100倍) を示した.
- 開発された生化学モデルは,細胞のmiRNA媒介抑制の予測を大幅に改善した.
結論:
- miRNA標的結合の定量的な測定は,遺伝子調節を理解するための生化学的基礎を提供します.
- 予測モデルは,miRNAを遺伝子規制ネットワーク分析に統合するための強力なツールを提供します.
- この研究は,ターゲティングの有効性を予測するためのより正確で定量的なアプローチを提供することによって,miRNAの研究の分野を前進させる.
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