Suppr超能文献

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

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验