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Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue

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 re...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964595/
https://www.ncbi.nlm.nih.gov/pubmed/24412976
http://dx.doi.org/10.1038/nmeth.2804
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author 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
author_facet 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
author_sort Lovatt, Ditte
collection PubMed
description 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.
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spelling pubmed-39645952014-08-01 Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue 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 Nat Methods Article 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. 2014-01-12 2014-02 /pmc/articles/PMC3964595/ /pubmed/24412976 http://dx.doi.org/10.1038/nmeth.2804 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
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 In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title_full Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title_fullStr Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title_full_unstemmed Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title_short Transcriptome In Vivo Analysis (TIVA) of spatially defined single cells in intact live mouse and human brain tissue
title_sort transcriptome in vivo analysis (tiva) of spatially defined single cells in intact live mouse and human brain tissue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964595/
https://www.ncbi.nlm.nih.gov/pubmed/24412976
http://dx.doi.org/10.1038/nmeth.2804
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