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Related Experiment Video

Updated: Dec 22, 2025

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Signaling Aptamer Optimization through Selection Using RNA-Capturing Microsphere Particles.

Tamaki Endoh1, Naoki Sugimoto1,2

  • 1Frontier Institute for Biomolecular Engineering Research (FIBER), Konan University, 7-1-20 Minatojima-Minamimachi, Kobe 650-0047, Japan.

Analytical Chemistry
|May 5, 2020
PubMed
Summary
This summary is machine-generated.

Researchers optimized RNA signaling aptamers for detecting molecules. A new method using RNA-capturing microspheres rapidly identified a superior aptamer for intracellular S-adenosyl methionine detection.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Synthetic Biology

Background:

  • RNA signaling aptamers utilize sensing and working units for target detection.
  • Optimization of the junction region connecting these units is crucial but challenging.
  • Allosteric interactions mediate signal transduction in response to input molecules.

Purpose of the Study:

  • To develop a simple and effective strategy for optimizing the junction region of RNA signaling aptamers.
  • To enhance the performance of RNA signaling aptamers for intracellular molecular detection.
  • To identify novel aptamer sequences with improved signal-to-noise ratios.

Main Methods:

  • Functional RNA selection using RNA-capturing microsphere particles.
  • High-throughput screening of approximately 0.2 million sequence variants.
  • Optimization of the junction region through iterative selection rounds.

Main Results:

  • A novel signaling aptamer was identified with a significantly improved signal-to-noise ratio.
  • The new aptamer demonstrated a 2-fold higher relative fluorescence increment for S-adenosyl methionine detection.
  • Intracellular detection of S-adenosyl methionine was achieved with high sensitivity.

Conclusions:

  • A facile strategy for optimizing RNA signaling aptamer junction regions has been established.
  • The developed technology enables rapid selection of functional RNA sequences for specific stimuli.
  • This approach holds promise for advancing biosensing and molecular detection technologies.