Suppr超能文献

实现多种物种心肌细胞高分辨率单细胞转录组学的方案。

Protocol to achieve high-resolution single-cell transcriptomics of cardiomyocytes in multiple species.

机构信息

Andersen Group, Department of Clinical Biochemistry, Odense University Hospital, 5000 Odense C, Denmark; Clinical Institute, University of Southern Denmark, 5230 Odense M, Denmark.

Andersen Group, Department of Clinical Biochemistry, Odense University Hospital, 5000 Odense C, Denmark; Clinical Institute, University of Southern Denmark, 5230 Odense M, Denmark; Amplexa Genetics, 5000 Odense C, Denmark.

出版信息

STAR Protoc. 2024 Sep 20;5(3):103194. doi: 10.1016/j.xpro.2024.103194. Epub 2024 Aug 1.

Abstract

Single-cell RNA sequencing (scRNA-seq) remains state-of-the-art for transcriptomic cell-mapping. Here, we provide a protocol to generate high-resolution scRNA-seq of rare cardiomyocyte populations (e.g., regenerating/dividing, etc.) from mouse and zebrafish hearts as well as induced pluripotent stem cells, collected in time to achieve detailed transcriptomic insight. We describe the serial steps of viability staining, methanol fixation, storage, and cell sorting to preserve RNA integrity suited for scRNA-seq as well as the quality assessment of the data as shown by examples. For complete details on the use and execution of this protocol, please refer to Bak et al..

摘要

单细胞 RNA 测序 (scRNA-seq) 仍然是转录组细胞图谱分析的最新技术。在这里,我们提供了一种从老鼠和斑马鱼心脏以及诱导多能干细胞中生成稀有心肌细胞群体(例如再生/分裂等)高分辨率 scRNA-seq 的方案,以便及时收集以实现详细的转录组见解。我们描述了活力染色、甲醇固定、储存和细胞分选的连续步骤,以保持适合 scRNA-seq 的 RNA 完整性,并通过示例展示了数据的质量评估。有关此方案的使用和执行的完整详细信息,请参阅 Bak 等人的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bed3/11345562/41ba58a62476/fx1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验