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获取高质量新鲜小鼠肺空间转录组学数据的方案。

Protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data.

机构信息

BGI Research, Hangzhou 310030, China; Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.

BGI Research, Hangzhou 310030, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.

出版信息

STAR Protoc. 2024 Mar 15;5(1):102825. doi: 10.1016/j.xpro.2023.102825. Epub 2024 Jan 26.

Abstract

Spatial transcriptomics analysis allows the examination of the biological characteristics and spatial distribution of individual lung cells at a single-cell resolution. However, due to the presence of cavities in the alveoli of the lungs, it is challenging to section them for spatial transcriptomics experiments. Here, we present a protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data. We describe steps for lung perfusion, acquiring frozen slices, collecting cDNA from lung sections, and data analysis. For complete details on the use and execution of this protocol, please refer to Jiang et al..

摘要

空间转录组学分析可以在单细胞分辨率下检查单个肺细胞的生物学特征和空间分布。然而,由于肺泡中存在空腔,因此对其进行空间转录组学实验具有挑战性。在这里,我们提出了一种获取高质量新鲜小鼠肺空间转录组学数据的方案。我们描述了肺灌注、获取冷冻切片、从肺切片中收集 cDNA 以及数据分析的步骤。有关此方案使用和执行的完整详细信息,请参阅 Jiang 等人的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db59/10840344/5c5ddf8487b5/fx1.jpg

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