次世代接続マップ:L1000プラットフォームと最初の1,000,000のプロファイル
Aravind Subramanian1, Rajiv Narayan1, Steven M Corsello2
1Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Cell
|December 2, 2017
まとめ
コネクティビティ・マップ (CMap) は,L1000プロフィールメソッドを使用して1,000倍に拡大されました. この拡張されたCMapは,薬の発見と臨床応用のための遺伝子発現シグネチャーを介して,遺伝子,薬物,疾患を結びつけています.
科学分野:
- ゲノミクス
- システム生物学
- ファルマゲノミクス
背景:
- コネクティビティ・マップ (Connectivity Map, CMap) は遺伝子発現シグネチャーを通して 生物学的状態を結びつけています
- 以前のCMap版は規模と範囲が限られていた.
研究 の 目的:
- L1000テクノロジーを使って CMap を1000倍に拡大しました
- 生物学的発見と臨床応用における拡張CMapの有用性を実証する.
主な方法:
- L1000と呼ばれる低コストで高スループットな縮小表現プロファイリング方法を開発し,実装しました.
- NIH LINCSコンソーシアムの一部として130万以上のL1000プロフィールを生成しました.
- 測定されていないトランスクリプト表現を計算的に推論するL1000の再現性を検証した.
主要な成果:
- 拡張されたCMapは,利用可能な遺伝子発現データの規模を大幅に拡大します.
- L1000プロフィーリングは高度に再現可能であり,RNAシーケンシングに匹敵する.
- 計算による推論は,測定されていないトランスクリプトの 81% の表現レベルを成功裏に予測した.
- 拡張されたCMapは,小分子作用機構の発見を容易にする.
- 病気の遺伝子の遺伝的変異の機能的な注釈に役立ちます.
- 臨床試験の設計と 患者の層分化に役立ちます
結論:
- L1000を搭載した拡張CMapは,システム薬理学の大きな進歩を表しています.
- このリソースは 薬の仕組みや 病気の遺伝学 パーソナライズド医療に関する 新しい洞察を可能にします
- データと分析ツールは https://clue.io で公開されています.
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