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Detection of p53 Gene Mutation (Single-Base Mismatch) Using a Fluorescent Silver Nanoclusters
Morteza Hosseini1,2, Shiva Mohammadi3, Yasaman-Sadat Borghei3
1Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran. smhosseini@khayam.ut.ac.ir.
Journal of Fluorescence
|April 14, 2017
Summary
A novel biosensing method detects p53 gene mutations using DNA-silver nanoclusters (DNA-AgNCs). This approach offers a sensitive and linear detection of p53 mutations, crucial for cancer research.
Area of Science:
- Biotechnology
- Nanotechnology
- Molecular Biology
Background:
- The p53 tumor suppressor gene is frequently mutated in various cancers.
- Accurate and sensitive detection of p53 mutations is critical for cancer diagnosis and treatment.
- Existing detection methods can be complex and time-consuming.
Purpose of the Study:
- To develop a novel, sensitive biosensing approach for detecting p53 gene mutations.
- To utilize oligonucleotide-templated silver nanoclusters (DNA-AgNCs) for mutation detection.
- To establish a quantitative relationship between fluorescence changes and p53 mutation concentration.
Main Methods:
- A biosensing strategy was developed using DNA-AgNCs.
- Two DNA scaffolds were employed: one for fluorescence generation (C12-enriched) and another as a probe fragment.
- The probe scaffold selectively binds to the p53 gene sequence.
- Fluorescence quenching of DNA-AgNCs was measured upon binding to p53 targets.
Main Results:
- The DNA-AgNCs exhibited decreased fluorescence upon binding to p53 targets with single-base mismatches.
- The observed fluorescence quenching was linearly proportional to the concentration of mutated p53 (5–350 nM).
- The method demonstrated a low limit of detection, as low as 1.3 nM for p53 mutations.
Conclusions:
- The developed DNA-AgNCs-based biosensor provides a sensitive and quantitative method for p53 mutation detection.
- This approach holds promise for rapid and accurate cancer diagnostics.
- The linear response and low detection limit make it suitable for clinical applications.