Suppr超能文献

活组织中空间限定的单细胞转录组体内分析(TIVA)。

Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.

机构信息

1] Department of Pharmacology, University of Pennsylvania, Philadelphia, Pennsylvania, USA. [2].

1] Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania, USA. [2].

出版信息

Nat Methods. 2014 Feb;11(2):190-6. doi: 10.1038/nmeth.2804. Epub 2014 Jan 12.

Abstract

Transcriptome profiling of single cells resident in their natural microenvironment depends upon RNA capture methods that are both noninvasive and spatially precise. We engineered a transcriptome in vivo analysis (TIVA) tag, which upon photoactivation enables mRNA capture from single cells in live tissue. Using the TIVA tag in combination with RNA sequencing (RNA-seq), we analyzed transcriptome variance among single neurons in culture and in mouse and human tissue in vivo. Our data showed that the tissue microenvironment shapes the transcriptomic landscape of individual cells. The TIVA methodology is, to our knowledge, the first noninvasive approach for capturing mRNA from live single cells in their natural microenvironment.

摘要

单细胞在其自然微环境中的转录组谱分析依赖于既非侵入性又具有空间精确性的 RNA 捕获方法。我们设计了一种转录组活体分析(TIVA)标签,该标签在光激活后能够从活体组织中的单个细胞中捕获 mRNA。我们使用 TIVA 标签与 RNA 测序(RNA-seq)相结合,分析了培养中的单个神经元以及在体内的小鼠和人类组织中的单个神经元之间的转录组差异。我们的数据表明,组织微环境塑造了单个细胞的转录组图谱。就我们所知,TIVA 方法是从其自然微环境中的活单细胞中捕获 mRNA 的第一种非侵入性方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86ca/3964595/e036155af2b0/nihms549896f1.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