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

IF: 47.990

Cited by: 216

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.

Keywords

TIVA

Gene Expression

MeSH terms

Animals

Brain

Computational Biology

Gene Expression Profiling

Gene Library

High-Throughput Nucleotide Sequencing

Hippocampus

Humans

Mice

Mice, Inbred C57BL

Neurons

RNA, Messenger

Sequence Analysis, RNA

Authors

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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