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DNA-hosted copper nanoclusters/graphene oxide based fluorescent biosensor for protein kinase activity detection
Mengke Wang1, Zihan Lin2, Qing Liu1
1Department of Analytical Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Analytica Chimica Acta
|February 25, 2018
Summary
A new fluorescent biosensor detects protein kinase activity (PKA) using DNA-copper nanoclusters and graphene oxide. This method allows sensitive PKA monitoring in biological samples, aiding drug discovery.
Area of Science:
- Biochemistry
- Nanotechnology
- Analytical Chemistry
Background:
- Protein kinase activity (PKA) is crucial in cellular signaling pathways.
- Accurate detection of PKA is vital for understanding diseases and developing therapeutics.
- Existing PKA detection methods may lack sensitivity or require complex procedures.
Purpose of the Study:
- To develop a novel fluorescent biosensor for sensitive and specific detection of PKA activity.
- To utilize the unique properties of DNA-hosted copper nanoclusters (dsDNA-CuNCs) and graphene oxide (GO) for biosensing.
- To validate the biosensor's performance in detecting PKA and its inhibition in complex biological matrices.
Main Methods:
- Design of a dsDNA-CuNC system functionalized with an ATP aptamer.
- Utilizing graphene oxide (GO) for fluorescence quenching via Förster Resonance Energy Transfer (FRET).
- Exploiting the binding affinity changes of the ATP aptamer to GO upon ATP or PKA interaction.
Main Results:
- The biosensor demonstrated efficient fluorescence quenching by GO, which was recovered in the presence of ATP.
- PKA activity led to ATP conversion to ADP, causing reduced binding to the aptamer and subsequent fluorescence quenching.
- The sensor achieved sensitive PKA detection (0.1–5.0 U mL⁻¹) with a low limit of detection (0.039 U mL⁻¹).
- The biosensor successfully detected PKA activity in cell lysates and evaluated the inhibitory effect of H-89.
Conclusions:
- A novel, sensitive, and specific fluorescent biosensor for PKA activity detection was successfully developed.
- The integration of dsDNA-CuNCs and GO offers a robust platform for enzyme activity monitoring.
- The biosensor shows potential for applications in biochemical research and drug screening.
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