Related Experiment Video
Updated: Jun 24, 2026

11:14
Primer-Free Aptamer Selection Using A Random DNA Library
Published on: July 26, 2010
24.9K
FRET-Based Single-Molecule Detection of Pathogen Protein IsdA Using Computationally Selected Aptamers
Kalani M Wijesinghe1, Godfred Sabbih2, Chamika Harshani Algama1
1Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Analytical Chemistry
|June 16, 2023
Summary
We developed a sensitive method to detect Iron-regulated surface determinant protein A (IsdA), a marker for the foodborne pathogen Staphylococcus aureus. This aptamer-based fluorescence resonance energy transfer approach achieves picomolar detection levels.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Microbiology
Background:
- Staphylococcus aureus (S. aureus) is a foodborne pathogen critical for survival and colonization.
- Early detection of S. aureus is vital for preventing foodborne illnesses.
- Iron-regulated surface determinant protein A (IsdA) is a specific marker for S. aureus, but its detection is underdeveloped.
Purpose of the Study:
- To develop a robust and widely applicable detection method for IsdA.
- To enable sensitive and specific detection of the foodborne pathogen S. aureus.
- To advance aptamer-based sensing for pathogen protein quantification.
Main Methods:
- Computational generation of target-guided aptamers specific to IsdA.
- Utilizing fluorescence resonance energy transfer (FRET)-based single-molecule analysis.
- Verifying aptamer-induced FRET state switching in the presence of IsdA protein.
Main Results:
- Identified three distinct RNA aptamers specific to the IsdA protein.
- Demonstrated picomolar level detection of IsdA (down to ×10⁻¹² M).
- Achieved a dynamic detection range extending to approximately 40 nM.
Conclusions:
- The developed FRET-based single-molecule technique offers high sensitivity and specificity for IsdA detection.
- This method has broad applications in the food industry for pathogen detection.
- Enables quantitative detection of various pathogen proteins using aptamer-based sensing.

