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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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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. |
format | Online Article Text |
id | pubmed-3964595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
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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