Integrating FRET and Molecular Dynamics Simulation for Single‐Molecule Aptameric Detection of <i>Staphylococcus aureus</i> IsdA Surface Protein

Staphylococcus aureus is ranked among the top five most common foodborne pathogens affecting public health and the economy worldwide. To improve detection and reduce diagnostic burdens, several detection methods from traditional culture-based techniques to biosensing platforms have evolved. Among several markers, surface proteins are considered to be the most important markers due to the specific roles they play in the survival and colonization of the bacterium on hosts. Here, we have developed a detection platform for a key surface protein, iron-regulated surface determinant protein A (IsdA), using a combination of computationally developed aptamer and single-molecule fluorescence resonance energy transfer (smFRET). Computationally generated RNA aptamer incorporated into the FRET-based sensor show high specificity detection of IsdA with a detection limit down to 0.6 pM and dynamic range extending to ∼10 nM. Molecular dynamics (MD) simulations show distinct conformational flexibility of the unbound aptamer and a reduced flexibility for the aptamer-IsdA complex, corresponding to the experimentally observed higher FRET efficiencies. The FRET-based single-molecule aptasensor that we developed has great potential for rapid monitoring S. aureus. Further, the developed approach has the potential to be broadly applicable across diverse fields of biotechnology including environmental monitoring, forensic analysis, and clinical diagnostics.

Authors

Institutions

Publication Details

Journal
Biotechnology Journal
Published
2025-09-01
DOI
https://doi.org/10.1002/biot.70101
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating FRET and Molecular Dynamics Simulation for Single‐Molecule Aptameric Detection of Staphylococcus aureus IsdA Surface Protein

Michael Danquah, Tongye Shen, Soma Dhakal, Tracy Ann Bruce‐Tagoe et al.
1 citations
Biotechnology Journal
Advanced biosensing and bioanalysis techniques
0.81
article

Integrating FRET and Molecular Dynamics Simulation for Single‐Molecule Aptameric Detection of Staphylococcus aureus IsdA Surface Protein

Michael Danquah, Tongye Shen, Soma Dhakal, Tracy Ann Bruce‐Tagoe, Chamika Harshani Algama, Joy Adetunji
article en
1 citations

Abstract

Staphylococcus aureus is ranked among the top five most common foodborne pathogens affecting public health and the economy worldwide. To improve detection and reduce diagnostic burdens, several detection methods from traditional culture-based techniques to biosensing platforms have evolved. Among several markers, surface proteins are considered to be the most important markers due to the specific roles they play in the survival and colonization of the bacterium on hosts. Here, we have developed a detection platform for a key surface protein, iron-regulated surface determinant protein A (IsdA), using a combination of computationally developed aptamer and single-molecule fluorescence resonance energy transfer (smFRET). Computationally generated RNA aptamer incorporated into the FRET-based sensor show high specificity detection of IsdA with a detection limit down to 0.6 pM and dynamic range extending to ∼10 nM. Molecular dynamics (MD) simulations show distinct conformational flexibility of the unbound aptamer and a reduced flexibility for the aptamer-IsdA complex, corresponding to the experimentally observed higher FRET efficiencies. The FRET-based single-molecule aptasensor that we developed has great potential for rapid monitoring S. aureus. Further, the developed approach has the potential to be broadly applicable across diverse fields of biotechnology including environmental monitoring, forensic analysis, and clinical diagnostics.

Biotechnology JournalVol. 20(9)
Virginia Commonwealth University (US), Knoxville College (US), University of Tennessee at Knoxville (US)
National Science Foundation, Office of Advanced Cyberinfrastructure
Openalex Percentile: Top 24%
Advanced biosensing and bioanalysis techniques
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.