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Dna Methyltransferase Activity Detection Based on Graphene Quantum Dots Using Fluorescence and Fluorescence Anisotropy Publisher



Kermani HA1 ; Hosseini M1 ; Dadmehr M2 ; Hosseinkhani S3 ; Ganjali MR4, 5
Authors
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Authors Affiliations
  1. 1. Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran
  2. 2. Department of Biotechnology, Payame Noor University, Tehran, Iran
  3. 3. Department of Biochemistry, Tarbiat Modares University, Tehran, Iran
  4. 4. Center of Excellence in Electrochemistry, Faculty of Chemistry, University of Tehran, Tehran, Iran
  5. 5. Biosensor Research Center, Endocrinology & Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Sensors and Actuators# B: Chemical Published:2017


Abstract

DNA methyltransferase enzyme has a crucial role in many biological processes. Abnormal expression level of this enzyme has been regarded as a predictive cancer biomarker. Herein a novel method based on DNA modified GQDs was developed for fluorescence based assay and anisotropic investigation of M.SssI activity. An amine modified ds-DNA was designed including a recognition site for both methyltransferase M.SssI and endonuclease HpaII. By conjugation of ds-DNA to GQDs, fluorescence was decreased to 45%. When M.SssI was introduced, ds-DNA was methylated at palindromic sequence 5'…CCGG…3' and become resistant to cleavage by HpaII and no change was observed in fluorescence intensity. Contrarily without sufficient M.SssI enzyme, HpaII cleaved DNA strands and induced enhancement of fluorescence. The proposed method exhibited a low detection limit of 0.7 U/ml. Additional fluorescence anisotropy method was performed to confirm the DNA modification and release of DNA strands from the surface of GQDs in the presence of M.SssI and HpaII respectively. The application of the assay in the serum sample was successfully investigated. This simple method can be a useful tool to apply in diagnosis and biomedical research. © 2016 Elsevier B.V.
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