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TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells
Dynamic profiling of changes in gene expression in response to stressors in specific microenvironments without requiring cellular destruction remains challenging. Current methodologies that seek to interrogate gene expression at a molecular level require sampling of cellular transcriptome and theref...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844816/ https://www.ncbi.nlm.nih.gov/pubmed/35198871 http://dx.doi.org/10.1016/j.isci.2022.103806 |
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author | Cherbonneau, François Li, Guoping Gokulnath, Priyanka Sahu, Parul Prunevieille, Aurore Kitchen, Robert Benichou, Gilles Larghero, Jérôme Domian, Ibrahim Das, Saumya |
author_facet | Cherbonneau, François Li, Guoping Gokulnath, Priyanka Sahu, Parul Prunevieille, Aurore Kitchen, Robert Benichou, Gilles Larghero, Jérôme Domian, Ibrahim Das, Saumya |
author_sort | Cherbonneau, François |
collection | PubMed |
description | Dynamic profiling of changes in gene expression in response to stressors in specific microenvironments without requiring cellular destruction remains challenging. Current methodologies that seek to interrogate gene expression at a molecular level require sampling of cellular transcriptome and therefore lysis of the cell, preventing serial analysis of cellular transcriptome. To address this area of unmet need, we have recently developed a technology allowing transcriptomic analysis over time without cellular destruction. Our method, TRACE-seq (TRanscriptomic Analysis Captured in Extracellular vesicles using sequencing), is characterized by a cell-type specific transgene expression. It provides data on the transcriptome inside extracellular vesicles that provides an accurate representation of stress-responsive cellular transcriptomic changes. Thus, the transcriptome of cells expressing TRACE can be followed over time without destroying the source cell, which is a powerful tool for many fields of fundamental and translational biology research. |
format | Online Article Text |
id | pubmed-8844816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88448162022-02-22 TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells Cherbonneau, François Li, Guoping Gokulnath, Priyanka Sahu, Parul Prunevieille, Aurore Kitchen, Robert Benichou, Gilles Larghero, Jérôme Domian, Ibrahim Das, Saumya iScience Article Dynamic profiling of changes in gene expression in response to stressors in specific microenvironments without requiring cellular destruction remains challenging. Current methodologies that seek to interrogate gene expression at a molecular level require sampling of cellular transcriptome and therefore lysis of the cell, preventing serial analysis of cellular transcriptome. To address this area of unmet need, we have recently developed a technology allowing transcriptomic analysis over time without cellular destruction. Our method, TRACE-seq (TRanscriptomic Analysis Captured in Extracellular vesicles using sequencing), is characterized by a cell-type specific transgene expression. It provides data on the transcriptome inside extracellular vesicles that provides an accurate representation of stress-responsive cellular transcriptomic changes. Thus, the transcriptome of cells expressing TRACE can be followed over time without destroying the source cell, which is a powerful tool for many fields of fundamental and translational biology research. Elsevier 2022-01-25 /pmc/articles/PMC8844816/ /pubmed/35198871 http://dx.doi.org/10.1016/j.isci.2022.103806 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Cherbonneau, François Li, Guoping Gokulnath, Priyanka Sahu, Parul Prunevieille, Aurore Kitchen, Robert Benichou, Gilles Larghero, Jérôme Domian, Ibrahim Das, Saumya TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title | TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title_full | TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title_fullStr | TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title_full_unstemmed | TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title_short | TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
title_sort | trace-seq: a transgenic system for unbiased and non-invasive transcriptome profiling of living cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844816/ https://www.ncbi.nlm.nih.gov/pubmed/35198871 http://dx.doi.org/10.1016/j.isci.2022.103806 |
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