Establishing MS2-MCP-based single-molecule RNA visualization in Schizosaccharomyces pombe

Douglas E Weidemann1,2, Sarah C Turner1,2, Silke Hauf1,2

  • 1Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.

Insights

Researchers developed single-molecule RNA imaging for fission yeast using the MS2-MCP system. This breakthrough enables quantitative analysis of RNA dynamics in this key model organism.

Area of Science:

  • Molecular Biology
  • Genetics
  • Cell Biology

Background:

  • The MS2-MCP system revolutionized RNA biology by enabling single-molecule RNA imaging.
  • Fission yeast (Schizosaccharomyces pombe) is a crucial model for eukaryotic gene expression but lacked this technology.
  • Optimizing RNA labeling for brightness and minimal background is essential for single-molecule sensitivity.

Purpose of the Study:

  • To adapt and optimize the MS2-MCP system for single-molecule RNA imaging in fission yeast.
  • To enable quantitative analyses of RNA dynamics in Schizosaccharomyces pombe.
  • To overcome technical challenges in achieving single-molecule sensitivity in fission yeast.

Main Methods:

  • Systematic optimization of MCP (MS2 coat protein) expression and localization in S. pombe.
  • Screening of constitutive S. pombe promoters for optimal MCP expression.
  • Evaluation of nuclear localization signals (NLSs) and nuclear export signals (NESs) for MCP.
  • Utilizing tandem StayGold as a photostable fluorescent tag for MCP.

Main Results:

  • Successful adaptation of the MS2-MCP system for single-molecule RNA imaging in fission yeast.
  • Identification of optimal MCP expression and localization strategies.
  • Development of constructs utilizing tandem StayGold for enhanced signal stability.
  • Creation of optimized vectors for MS2 stem-loop tagging of endogenous transcripts.

Conclusions:

  • Single-molecule RNA imaging is now feasible in fission yeast (Schizosaccharomyces pombe).
  • The developed tools facilitate quantitative studies of RNA dynamics in this model system.
  • This advancement opens new avenues for understanding gene expression regulation in eukaryotes.

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