Individual Contributions of Amido Acid Residues Tyr122, Ile168, and Asp173 to the Activity and Substrate Specificity of Human DNA Dioxygenase ABH2.
Anastasiia T DavletgildeevaTimofey E TyugashevMingxing ZhaoNikita A KuznetsovAlexander A IshchenkoMurat K SaparbaevAleksandra A KuznetsovaPublished in: Cells (2023)
Human Fe(II)/α-ketoglutarate-dependent dioxygenase ABH2 plays a crucial role in the direct reversal repair of nonbulky alkyl lesions in DNA nucleobases, e.g., N 1 -methyladenine (m 1 A), N 3 -methylcytosine (m 3 C), and some etheno derivatives. Moreover, ABH2 is capable of a less efficient oxidation of an epigenetic DNA mark called 5-methylcytosine (m 5 C), which typically is a specific target of DNA dioxygenases from the TET family. In this study, to elucidate the mechanism of the substrate specificity of ABH2, we investigated the role of several active-site amino acid residues. Functional mapping of the lesion-binding pocket was performed through the analysis of the functions of Tyr122, Ile168, and Asp173 in the damaged base recognition mechanism. Interactions of wild-type ABH2, or its mutants Y122A, I168A, or D173A, with damaged DNA containing the methylated base m 1 A or m 3 C or the epigenetic marker m 5 C were analyzed by molecular dynamics simulations and kinetic assays. Comparative analysis of the enzymes revealed an effect of the substitutions on DNA binding and on catalytic activity. Obtained data clearly demonstrate the effect of the tested amino acid residues on the catalytic activity of the enzymes rather than the DNA-binding ability. Taken together, these data shed light on the molecular and kinetic consequences of the substitution of active-site residues for the mechanism of the substrate recognition.
Keyphrases
- dna binding
- circulating tumor
- amino acid
- single molecule
- cell free
- molecular dynamics simulations
- transcription factor
- endothelial cells
- wild type
- dna methylation
- gene expression
- nucleic acid
- structural basis
- induced pluripotent stem cells
- electronic health record
- big data
- high resolution
- single cell
- ionic liquid
- high throughput
- machine learning
- deep learning
- molecular docking
- data analysis
- high density