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

TRACE-seq:一种用于活细胞无偏倚、非侵入性转录组分析的转基因系统

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作者:François Cherbonneau ,Guoping Li ,Priyanka Gokulnath ,Parul Sahu ,Aurore Prunevieille ,Robert Kitchen ,Gilles Benichou ,Jérôme Larghero ,Ibrahim Domian ,Saumya Das

Abstract

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. Keywords: Cell biology; Omics; Transcriptomics.

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