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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...

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Autores principales: Cherbonneau, François, Li, Guoping, Gokulnath, Priyanka, Sahu, Parul, Prunevieille, Aurore, Kitchen, Robert, Benichou, Gilles, Larghero, Jérôme, Domian, Ibrahim, Das, Saumya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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