转录组
体内
生物
细胞生物学
计算生物学
核糖核酸
背景(考古学)
基因表达谱
RNA序列
基因表达
基因
遗传学
古生物学
作者
Ditte Lovatt,Brittani K. Ruble,Jaehee Lee,Hannah Dueck,Tae Kyung Kim,Stephen Fisher,Chantal Francis,Jennifer Spaethling,John A. Wolf,M. Sean Grady,Alexandra V. Ulyanova,Sean B. Yeldell,Julianne C. Griepenburg,Peter T. Buckley,Junhyong Kim,Jai-Yoon Sul,Ivan J. Dmochowski,James Eberwine
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2014-01-12
卷期号:11 (2): 190-196
被引量:261
摘要
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.
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