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  • 标题:TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells
  • 本地全文:下载
  • 作者:François Cherbonneau ; Guoping Li ; Priyanka Gokulnath
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:2
  • 页码:1-22
  • DOI:10.1016/j.isci.2022.103806
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryDynamic 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.Graphical abstractDisplay OmittedHighlights•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 signalsCell biology; Omics; Transcriptomics
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