ディープシーケンシングプロファイルの変形RNA塩基の指紋
Anna M Kietrys1, Willem A Velema1, Eric T Kool1
1Department of Chemistry, Stanford University , Stanford, California 94305, United States.
Journal of the American Chemical Society
|November 8, 2017
まとめ
次世代配列解析 (NGS) は,メッセンジャーRNAのRNA塩基変化を検出することができる. 超深度の配列パターンは,これらの変更を特定するためのユニークな指紋として機能します.
科学分野:
- 分子生物学
- ゲノミクス
- 生物化学
背景:
- 転写後の改変は,非コーディングおよびコーディングRNAで発生する.
- RNAの改変を検出する現在の方法は複雑で手間がかかるものです
- 多くの改変塩基の局所的な検出方法はまだ欠けている.
研究 の 目的:
- 改変RNA塩基の検出と区別のための次世代配列解析 (NGS) を評価する.
- 改変された塩基と未改変塩基の配列パターンを比較する.
- 細胞の文脈でRNAの改変を特定するためのツールとしてNGSを探求する.
主な方法:
- 合成RNAの超深層配列を 10種類の塩基で改変した
- 誤ったコーディング,挿入/削除 (インデル) および断絶を含む解析されたシーケンシングパターン.
- 同じシーケンスの文脈で,修正された塩基と未修正の塩基のパターンを比較する.
主要な成果:
- RNA 塩基の改変に対する NGS 反応は,無効から高変異率まで様々であった.
- いくつかの特定の改変のための明確な配列パターンを特定しました.
- 改変が誤ったコード化,インデール,および断片化を引き起こすことが示されました.
結論:
- Ultradeepシーケンシングは,改変したRNA塩基を検出し,区別するための有望な結果を示しています.
- NGSから派生したパターンは,RNA改変の識別のためのユニークな"指紋"として機能することができます.
- このアプローチは,細胞RNAの改変の局所化と識別を容易にする可能性がある.
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