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MASH-FRET: A Simplified Approach for Single-Molecule Multiplexing Using FRET
Anisa Kaur1, Mischa Ellison1, Soma Dhakal1
1Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Analytical Chemistry
|June 14, 2021
Summary
This study introduces MASH-FRET, a novel data analysis approach for multiplexed detection using a single fluorescence resonance energy transfer (FRET) pair. This method simplifies complex experiments and enhances biomarker analysis reliability.
Area of Science:
- Biomarker analysis
- Single-molecule analysis
- Fluorescence resonance energy transfer (FRET)
Background:
- Multiplexed detection is crucial for cost-effective and reliable biomarker analysis.
- Current FRET-based multiplexing often requires multiple FRET pairs and excitation sources, complicating experiments.
- A single FRET pair approach with tunable interdye distance offers a simplified solution.
Purpose of the Study:
- To evaluate the MASH-FRET program for identifying multiplexed FRET populations using a single FRET pair.
- To demonstrate the capability of MASH-FRET-enabled bootstrap-based analysis of FRET data (BOBA-FRET) for resolving FRET efficiencies.
- To assess the potential for simplified, cost-effective multiplexed sensing.
Main Methods:
- Implementation and evaluation of the MASH-FRET analysis program.
- Utilizing bootstrap-based analysis of FRET data (BOBA-FRET) for population resolution.
- Testing with simulated FRET data to determine detection limits.
Main Results:
- MASH-FRET successfully identified overlapped FRET populations from a single FRET pair.
- BOBA-FRET provided high resolution and statistical confidence for poorly resolved FRET populations.
- The program identified FRET populations with mean differences of ~0.1, enabling up to ~9-fold multiplexing.
Conclusions:
- MASH-FRET offers a simplified approach to multiplexed sensing by analyzing FRET efficiencies from a single FRET pair.
- This method reduces the need for complex labeling and multiple excitation sources.
- The approach broadens the scope of FRET-based single-molecule analyses and improves biomarker detection.

