Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-02

AUTHORS

Ditte Lovatt, Brittani K Ruble, Jaehee Lee, Hannah Dueck, Tae Kyung Kim, Stephen Fisher, Chantal Francis, Jennifer M 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

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. More... »

PAGES

190-196

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.2804

DOI

http://dx.doi.org/10.1038/nmeth.2804

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012857313

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24412976


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