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Updated: Oct 6, 2025

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Hee-Bong Yoo, Sang-Ryoul Park, Kee-Suk Hong

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    |January 14, 2022
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    This study introduces a novel method for precise ribonucleic acid (RNA) quantification by directly counting individual RNA molecules, eliminating the need for reverse transcription and calibration for accurate results.

    Area of Science:

    • Molecular Biology
    • Biochemistry
    • Analytical Chemistry

    Background:

    • Accurate quantification of ribonucleic acid (RNA) is crucial for molecular biology research.
    • Current methods like reverse transcription quantitative polymerase chain reaction (RT-qPCR) can be affected by variable yields during the reverse transcription step.
    • Ultraviolet (UV) spectrophotometry lacks sensitivity for low-level RNA detection.

    Purpose of the Study:

    • To develop a precise RNA quantification method that bypasses the reverse transcription step.
    • To enable sequence-specific counting of individual RNA molecules for accurate concentration determination.
    • To establish a potentially standard reference method for RNA quantification.

    Main Methods:

    • Sequence-specific tagging of target RNA molecules with multiple fluorescent oligonucleotide probes.

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  • High-sensitivity capillary-based flow cytometry for exhaustive, one-by-one counting of tagged RNA molecules.
  • Optimization of probe number, concentration, and hybridization conditions using MS2 viral RNA as a model.
  • Main Results:

    • MS2 viral RNA was quantified with high precision (2.0% relative standard deviation) using approximately 70 oligonucleotide probes.
    • The method demonstrated comparability with droplet digital PCR and UV spectrophotometry, indicating minimal bias.
    • The technique successfully quantified RNA at levels significantly lower than UV spectrophotometry and avoided RT-qPCR variability.

    Conclusions:

    • The developed method offers a calibration-free, sequence-specific approach for precise RNA quantification.
    • It overcomes limitations of existing methods, including RT variability and sensitivity issues.
    • This direct RNA counting technique holds potential as a valuable and accurate reference standard for RNA measurement.