マウスの発達中の脳と脊髄の単細胞プロファイリング
Alexander B Rosenberg1, Charles M Roco2, Richard A Muscat3
1Department of Electrical Engineering, University of Washington, Seattle, WA, USA. alex.b.rosenberg@gmail.com gseelig@uw.edu.
まとめ
単細胞RNAのスケーラブルなシーケンシングのために スプリットプール結合ベースのトランスクリプトームシーケンシング (SPLiT-seq) を開発しました この方法では 発達中のマウスの脳と脊髄で 100種類以上の細胞を特定しました
科学分野:
- 分子生物学
- ゲノミクス
- 神経科学
背景:
- 単細胞RNAシーケンシング (scRNA-seq) は,複雑な生物学的システムを理解するために不可欠です.
- 既存の scRNA-seq 方法は,固定されたサンプルとのスケーラビリティと互換性において課題に直面しています.
研究 の 目的:
- 広範な細胞プロファイリングのためのスケーラブルで汎用的なscRNA-seq方法を開発する.
- マウスの発達中枢神経系のトランスクリプトームを単細胞解像度で分析する.
主な方法:
- スプリットプール結合ベースのトランスクリプトームシーケンシング (SPLiT-seq) を開発し,コンビネトリアルバーコードを使用した.
- 生後マウスの脳と脊髄から156,049の単核トランスクリプトームを分析するためにSPLiT-seqを適用した.
- 発達の軌道を調べるために 擬似時間の分析を用いた.
主要な成果:
- 遺伝子発現パターンを基に 100種類以上の細胞を特定しました
- 機能,地域特異性,分化段階によって特徴づけられた細胞タイプ.
- 発現したトランスクリプションプログラムが 発現した 4つの主要な発達の系統が 発現した 4つの主要な発達の系統が 発現した
結論:
- SPLiT-seqは,スケーラブルで効率的な単細胞トランスクリプトミックプロファイリングを可能にします.
- 産後初期の中枢神経系発達の詳細なスナップショットを提供しています
- 他の複雑な多細胞系を 総合的に分析するための方法を提供する.
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