New York Genome Center, New York, NY 10013, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA.
New York Genome Center, New York, NY 10013, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA.
STAR Protoc. 2024 Jun 21;5(2):102966. doi: 10.1016/j.xpro.2024.102966. Epub 2024 Mar 20.
Studying RNA splicing factor mutations is challenging due to difficulties in distinguishing wild-type and mutant cells within complex human tissues and inaccuracies associated with reconstructing splicing signals from short-read sequencing data. Here, we present Genotyping of Transcriptomes (GoT)-Splice, a protocol that overcomes these limitations by combining GoT with enhanced long-read single-cell transcriptome and cell-surface proteomics profiling. We describe steps for long-read library preparation and analysis, followed by cDNA re-amplification, enrichment of mutation of interest, sample indexing, and GoT library preparation. For complete details on the use and execution of this protocol, please refer to Cortés-López et al..
由于在复杂的人体组织中难以区分野生型和突变型细胞,以及从短读测序数据重建剪接信号的不准确性,研究 RNA 剪接因子突变具有挑战性。在这里,我们提出了 Genotyping of Transcriptomes (GoT)-Splice,这是一种通过将 GoT 与增强的长读单细胞转录组和细胞表面蛋白质组学分析相结合来克服这些限制的方案。我们描述了长读文库制备和分析的步骤,然后是 cDNA 再扩增、感兴趣突变的富集、样品索引和 GoT 文库制备。有关该协议使用和执行的完整详细信息,请参阅 Cortés-López 等人的研究。