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Highly sensitive and selective oligonucleotide sensor for sickle cell disease gene using photon upconverting
Manoj Kumar1, Yanyan Guo, Peng Zhang
1Laboratory of Nanomaterial Science, Department of Chemistry, New Mexico Tech., Socorro, NM 87801, USA.
Biosensors & Bioelectronics
|October 1, 2008
Summary
This study presents a novel oligonucleotide sensor for detecting sickle cell disease mutations. The highly sensitive and specific sensor utilizes luminescence resonance energy transfer for accurate point mutation detection.
Area of Science:
- Biomedical Engineering
- Molecular Diagnostics
- Nanotechnology
Background:
- Sickle cell disease is a genetic disorder caused by a specific point mutation.
- Accurate and sensitive detection of this mutation is crucial for diagnosis and management.
- Existing diagnostic methods may have limitations in sensitivity or specificity.
Purpose of the Study:
- To design and develop a novel oligonucleotide sensor for detecting the point mutation associated with sickle cell disease.
- To utilize luminescence resonance energy transfer (LRET) for sensitive detection.
- To evaluate the sensor's specificity against mismatched targets and random sequences.
Main Methods:
- Development of an oligonucleotide sensor based on LRET.
- Utilizing photon upconverting nanoparticles (NaYF4 doped with Yb3+ and Er3+) as donors.
- Employing N,N,N',N'-tetramethyl-6-carboxyrhodamine (TAMRA) as the acceptor fluorophore.
- Testing sensor performance with perfectly matched and mismatched oligonucleotide targets.
Main Results:
- The sensor successfully detected the perfectly matched target sequence.
- High specificity was demonstrated, distinguishing the target from mismatched and random sequences.
- The sensor exhibited a low detection limit of 120 femtomoles for the perfectly matched target.
- No photobleaching was observed during detection, indicating stability.
Conclusions:
- The designed oligonucleotide sensor offers a highly sensitive and specific method for detecting sickle cell disease-associated point mutations.
- The LRET-based approach with upconverting nanoparticles and TAMRA is effective for molecular diagnostics.
- This sensor technology holds promise for improved diagnostic tools for genetic disorders.

