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使用TARGET-seq进行单细胞高质量RNA测序、细胞表面蛋白分析和基因分型的方案。

Protocol for high-quality RNA sequencing, cell surface protein analysis, and genotyping in single cells using TARGET-seq.

作者信息

Jakobsen N Asger, Turkalj Sven, Vyas Paresh

机构信息

MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; Oxford Centre for Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

出版信息

STAR Protoc. 2025 Jun 20;6(2):103832. doi: 10.1016/j.xpro.2025.103832. Epub 2025 May 21.

Abstract

Studying the consequences of somatic mutations in pre-malignant and cancerous tissues is challenging due to noise in single-cell transcriptome data and difficulty in identifying the clonal identity of single cells. We optimized TARGET-seq to develop TARGET-seq+, which combines RNA sequencing (RNA-seq), the analysis of cell surface protein expression, and genotyping in single cells with improved sensitivity. We describe the steps for cell isolation, the preparation of single-cell RNA-seq (scRNA-seq) and genotyping libraries, and sequencing. We also provide guidance on the analysis of single-cell genotyping, transcriptome pre-processing, and data integration. For complete details on the use and execution of this protocol, please refer to Jakobsen et al..

摘要

由于单细胞转录组数据中的噪声以及识别单细胞克隆身份的困难,研究癌前组织和癌组织中体细胞突变的后果具有挑战性。我们优化了TARGET-seq以开发TARGET-seq+,它将RNA测序(RNA-seq)、细胞表面蛋白表达分析和单细胞基因分型结合起来,提高了灵敏度。我们描述了细胞分离、单细胞RNA测序(scRNA-seq)和基因分型文库制备以及测序的步骤。我们还提供了关于单细胞基因分型分析、转录组预处理和数据整合的指导。有关本方案使用和执行的完整详细信息,请参阅雅各布森等人的文章。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84b6/12149610/c6e9598d44d7/fx1.jpg

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