An innovative fluorometric bioanalysis strategy towards recognition of DNA methylation using opto-active polymer: A new platform for DNA damage studies by genosensor technology.
Mina AdampourezareMohammad HasanzadehGholamreza DehghanMohammad-Ali HosseinpourefeiziFarzad SeidiPublished in: Journal of molecular recognition : JMR (2022)
Efficient pharmacotherapy of cancer is related to accurate recognition of genetic mutations and epigenetic alterations in the early-stage diagnosis. In the present study, a novel optical genosensor based on toluidine blue as photonic probe was developed to detection of DNA methylation using hybridization of pDNA with cDNA. Biomedical analysis was performed using UV-vis and fluorometric methods. For the first time, this strategy was applied for the distinction of methylated DNA from unmethylated-DNA-based on the interaction of optical probe with methylated-DNA and unmethylated DNA. Fluorescence spectroscopic data showed that poly-toluidine blue could be bind to DNA sequences and lead to different fluorescence patterns and could be used as an efficient geno-platform for the sensitive bioassay of mutation. The excitation and emission wavelengths were 580 and 630 nm, respectively. Non-binding of mismatch sequences with the optical probe was used as negative control. Under optimal conditions, linear range was 1 zM to 0.2 pm and the lower limit of quantitation was obtained as target concentrations ranging 1 zM. The designed genosensor showed high capability to distinct methylation from un-methylated. Therefore, the designed DNA-based bioassay could detect DNA methylation significantly. Finally, bioanalysis of real samples showed that the designed genosensor could use to detect DNA methylation which is a new platform for point of care analysis.
Keyphrases
- dna methylation
- single molecule
- circulating tumor
- genome wide
- cell free
- gene expression
- living cells
- early stage
- dna damage
- high resolution
- nucleic acid
- high speed
- copy number
- oxidative stress
- ms ms
- radiation therapy
- papillary thyroid
- machine learning
- air pollution
- loop mediated isothermal amplification
- lymph node
- dna repair
- light emitting
- big data
- single cell
- sensitive detection
- genetic diversity