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Related Experiment Video

Updated: Oct 7, 2025

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The First FRET-Based RNA Aptamer NanoKit for Sensitively and Specifically Detecting c-di-GMP.

Ya Gao1, Yurui Xu1, Yanyan Li2

  • 1National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Chemistry and Biomedicine Innovation Center, College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing 210093, China.

Nano Letters
|January 7, 2022
PubMed
Summary
This summary is machine-generated.

A novel NanoKit accurately detects cyclic di-GMP (c-di-GMP) and bacterial infections. This biosensor identifies bacterial species, states like biofilms, and antibiotic resistance, aiding disease management.

Keywords:
NanoKitRNA aptamerc-di-GMPconjugated polymerhigh sensitivity and specificity

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bacterial Pathogenesis

Background:

  • Cyclic di-GMP (c-di-GMP) is a crucial second messenger regulating bacterial behaviors.
  • Understanding c-di-GMP signaling is vital for exploring bacterial pathogenesis.
  • Existing detection methods for c-di-GMP lack sensitivity and specificity.

Purpose of the Study:

  • To develop a sensitive and selective detection method for c-di-GMP.
  • To utilize the developed method for identifying bacterial species and physiological states.
  • To apply the method for diagnosing bacterial infections and guiding treatment.

Main Methods:

  • Development of a conjugated polymer-amplified RNA aptamer NanoKit with a core-shell-shell architecture.
  • Utilizing fluorescence resonance energy transfer (FRET) for sensitive detection.
  • Assessing NanoKit's ability to detect c-di-GMP, bacterial species, and physiological states.

Main Results:

  • NanoKit achieved selective c-di-GMP detection with a low limit of 50 pM.
  • NanoKit differentiated bacterial species and states (planktonic, biofilm, antibiotic-resistant) based on c-di-GMP levels.
  • NanoKit distinguished bacterial infection and inflammation, identifying *Pseudomonas aeruginosa* pneumonia and sepsis.

Conclusions:

  • NanoKit offers a sensitive and selective platform for c-di-GMP detection.
  • NanoKit can identify bacterial infections and physiological states, aiding clinical diagnosis.
  • This NanoKit provides a promising strategy for rapid disease identification and pathophoresis management.