Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.
IF: 47.990
Cited by: 216


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.


Gene Expression

MeSH terms

Computational Biology
Gene Expression Profiling
Gene Library
High-Throughput Nucleotide Sequencing
Mice, Inbred C57BL
RNA, Messenger
Sequence Analysis, RNA


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

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