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Applying thiouracil tagging to mouse transcriptome analysis.

Leslie Gay1, Kate V Karfilis2, Michael R Miller3

  • 11] Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA. [2] Institute of Neuroscience, University of Oregon, Eugene, Oregon, USA. [3] Howard Hughes Medical Institute, University of Oregon, Eugene, Oregon, USA. [4].

Nature Protocols
|January 25, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces thiouracil tagging (TU tagging), a novel method for analyzing cell-specific RNA in mice. TU tagging directly examines active transcription, offering a significant advancement for understanding gene regulation in complex tissues.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Developmental Biology

Background:

  • Transcriptional profiling is crucial for studying mouse models of development, physiology, and disease.
  • Existing methods for cell-specific RNA analysis often involve cell isolation, which can induce transcriptional artifacts.
  • There is a need for methods that directly assess active transcription in specific cell populations within complex tissues.

Purpose of the Study:

  • To describe a protocol for mouse thiouracil tagging (TU tagging), a transcriptome analysis technology.
  • To enable the isolation and analysis of cell type-specific RNA directly from complex tissues in vivo.
  • To provide a method that avoids transcriptional changes associated with cell isolation and identifies actively transcribed RNAs.

Main Methods:

  • In vivo covalent labeling of cell lineage-specific transcripts using 4-thiouracil in transgenic mice.
  • Purification of TU-tagged RNA and subsequent library preparation for Illumina sequencing.
  • Bioinformatics workflow for identifying cell type-enriched or differentially expressed genes.

Main Results:

  • TU tagging allows for the direct examination of transcriptional regulation, unlike methods relying on ribosome or nuclei purification.
  • The protocol enables the isolation of RNA from specific cell populations, circumventing cell isolation-induced transcriptional changes.
  • Actively transcribed RNAs can be identified, distinguishing them from pre-existing transcripts.

Conclusions:

  • TU tagging is a powerful and direct method for cell-specific transcriptional profiling in mice.
  • The protocol is rapid, with tissue acquisition in 1 day, library generation in 2 days, and initial bioinformatics analysis in 1 day post-sequencing.
  • This technology offers significant advantages for studying gene regulation in mouse development, physiology, and disease models.