iScience (Feb 2022)

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

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

Journal volume & issue
Vol. 25, no. 2
p. 103806

Abstract

Read online

Summary: 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