ガン細胞系百科事典の次世代特徴

Mahmoud Ghandi¹, Franklin W Huang^1,2,3, Judit Jané-Valbuena^1,2

¹Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Nature

|May 10, 2019

まとめ

この研究は,がん細胞線の特徴を1,072本のマルチオミックデータで拡張し,がん研究のための新しい薬標的とバイオマーカーを明らかにします.

科学分野:

ゲノミクス
癌生物学
ファルマゲノミクス

背景:

癌細胞系百科事典 (CCLE) のような包括的ながんモデルが癌の遺伝学と薬の開発の研究に不可欠です
癌のフェノタイプと薬への反応を左右する分子特性を理解するには,統合されたマルチオミックデータが必要です.

研究の目的:

癌細胞の特徴を様々な分子データで拡大する.
マルチオミクスのデータを機能的アッセイと統合し,新しいがん薬の標的とバイオマーカーを特定する.

主な方法:

1,072の癌細胞ラインの遺伝子,RNAスプライシング,DNAメチル化,ヒストン変異,マイクロRNA発現,タンパク質配列データを収集した.
薬物感受性,短いヘアピンRNAノックダウン,およびCRISPR- Cas9ノックアウトデータを統合したマルチオミックデータ.

主要な成果:

多様な血統と民族を網羅した1,000以上の癌細胞系に関する包括的なデータセットを作成した.
マルチオミックと機能的なデータを統合することによって,潜在的な治療目標と予測バイオマーカーを特定しました.

結論:

拡張されたデータセットと公開ポータルは,がん依存性の調査のための豊富なリソースを提供することで,がん研究を加速します.
この研究は新しいマーカー駆動がん治療法の発見を促進します

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