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https://bura.brunel.ac.uk/handle/2438/33605| Title: | Cleaving DNA with DNA: Cooperative Tuning of Structure and Reactivity Driven by Copper Ions |
| Authors: | Dantu, Sarath Chandra Khalil, Mahdi Bria, Marc Saint-Pierre, Christine Orio, Maylis Gasparutto, Didier Sicoli, Giuseppe |
| Issue Date: | 28-Feb-2024 |
| Publisher: | Wiley-VCH |
| Citation: | Dantu, S.C. et al. (2024) 'Cleaving DNA with DNA: Cooperative tuning of structure and reactivity driven by copper ions', Advanced Science, 11(16), 2306710, pp. 1–7. doi: 10.1002/advs.202306710. |
| Abstract: | A copper-dependent self-cleaving DNA (DNAzyme or deoyxyribozyme) previously isolated by in vitro selection has been analyzed by a combination of Molecular Dynamics (MD) simulations and advanced Electron Paramagnetic Resonance (Electron Spin Resonance) EPR/ESR spectroscopy, providing insights on the structural and mechanistic features of the cleavage reaction. The modeled 46-nucleotide deoxyribozyme in MD simulations forms duplex and triplex sub-structures that flank a highly conserved catalytic core. The DNA self-cleaving construct can also form a bimolecular complex that has a distinct substrate and enzyme domains. The highly dynamic structure combined with an oxidative site-specific cleavage of the substrate are two key-aspects to elucidate. By combining EPR/ESR spectroscopy with selectively isotopically labeled nucleotides it has been possible to overcome the major drawback related to the “metal-soup” scenario, also known as “super-stoichiometric” ratios of cofactors versus substrate, conventionally required for the DNA cleavage reaction within those nucleic acids-based enzymes. The focus on the endogenous paramagnetic center (Cu2+) here described paves the way for analysis on mixtures where several different cofactors are involved. Furthermore, the insertion of cleavage reaction within more complex architectures is now a realistic perspective towards the applicability of EPR/ESR spectroscopic studies. |
| Description: | Data Availability Statement:
The data that support the findings of this study are available from figshare (https://doi.org/10.17633/rd.brunel.23522544.v1) and in the supplementary material of this article. Supporting Information is available online at: https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202306710#support-information-section . |
| URI: | https://bura.brunel.ac.uk/handle/2438/33605 |
| DOI: | https://doi.org/10.1002/advs.202306710 |
| Other Identifiers: | ORCiD: Sarath Chandra Dantu https://orcid.org/0000-0003-2019-5311 ORCiD: Giuseppe Sicoli https://orcid.org/0000-0003-4872-5660 |
| Appears in Collections: | Department of Computer Science Research Papers |
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| FullText.pdf | Copyright © 2024 The Authors. Advanced Science published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | 1.49 MB | Adobe PDF | View/Open |
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