Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.
Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.
复制标题
DOI：
10.1038/nmeth.2804
复制
发表时间：
2014-02
期刊：
影响因子：
48
通讯作者：
Eberwine, James
中科院分区：
文献类型：
--
作者：
Lovatt, Ditte;Ruble, Brittani K.;Lee, Jaehee;Dueck, Hannah;Kim, Tae Kyung;Fisher, Stephen;Francis, Chantal;Spaethling, Jennifer M.;Wolf, John A.;Grady, M. Sean;Ulyanova, Alexandra V.;Yeldell, Sean B.;Griepenburg, Julianne C.;Buckley, Peter T.;Kim, Junhyong;Sul, Jai-Yoon;Dmochowski, Ivan J.;Eberwine, James
Transcriptome profiling is an indispensable tool in advancing the understanding of single cell biology, but depends upon methods capable of isolating mRNA at the spatial resolution of a single cell. Current capture methods lack sufficient spatial resolution to isolate mRNA from individual in vivo resident cells without damaging adjacent tissue. Because of this limitation, it has been difficult to assess the influence of the microenvironment on the transcriptome of individual neurons. Here, 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-seq to analyze transcriptome variance among single dispersed cells and in vivo resident mouse and human neurons, we show that the tissue microenvironment shapes the transcriptomic landscape of individual cells. The TIVA methodology provides the first noninvasive approach for capturing mRNA from single cells in their natural microenvironment.
登录
查看更多内容
影响因子：
46.9
作者：
通讯作者：
--
影响因子：
5.8
作者：
Grant, Gregory R.;Farkas, Michael H.;Pierce, Eric A.
通讯作者：
Pierce, Eric A.
影响因子：
2.7
作者：
Dmochowski, Ivan J.;Tang, XinJing
通讯作者：
Tang, XinJing
影响因子：
56.9
作者：
Pedraza, JM;van Oudenaarden, A
通讯作者：
van Oudenaarden, A
DOI：
10.1073/pnas.89.7.3010
发表时间：
1992-04-01
影响因子：
11.1
作者：
EBERWINE, J;YEH, H;COLEMAN, P
通讯作者：
COLEMAN, P