TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells

• Published in: iScience Vol. 25; no. 2; p. 103806
• Main Authors: Cherbonneau, François, Li, Guoping, Gokulnath, Priyanka, Sahu, Parul, Prunevieille, Aurore, Kitchen, Robert, Benichou, Gilles, Larghero, Jérôme, Domian, Ibrahim, Das, Saumya
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 18-02-2022; Elsevier
• Subjects: Cell biology; Omics; Transcriptomics; Cell biology; Transcriptomics; Omics
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2022.103806

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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•TRanscriptomic Analysis Captured in Extracellular vesicles using RNA-sequencing•Excellent correlation of cellular and EV transcriptome using this method•Accurate profiling of gene expression changes in response to stress signals
Cell biology; Omics; Transcriptomics