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      Parallel G-Quadruplex DNA Structures from Nuclear and Mitochondrial Genomes Trigger Emission Enhancement in a Nonfluorescent Nano-aggregated Fluorine–Boron-Based Dye


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          Molecular self-assembly is a powerful tool for the development of functional nanostructures with adaptive optical properties. However, in aqueous solution, the hydrophobic effects in the monomeric units often afford supramolecular architectures with typical side-by-side π-stacking arrangement with compromised emissive properties. Here, we report on the role of parallel DNA guanine quadruplexes (G4s) as supramolecular disaggregating–capture systems capable of coordinating a zwitterionic fluorine–boron-based dye and promoting activation of its fluorescence signal. The dye’s high binding affinity for parallel G4s compared to nonparallel topologies leads to a selective disassembly of the dye’s supramolecular state upon contact with parallel G4s. This results in a strong and selective disaggregation-induced emission that signals the presence of parallel G4s observable by the naked eye and inside cells. The molecular recognition strategy reported here will be useful for a multitude of affinity-based applications with potential in sensing and imaging systems.

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          Aggregation-Induced Emission: Together We Shine, United We Soar!

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            Sequence and organization of the human mitochondrial genome.

            The complete sequence of the 16,569-base pair human mitochondrial genome is presented. The genes for the 12S and 16S rRNAs, 22 tRNAs, cytochrome c oxidase subunits I, II and III, ATPase subunit 6, cytochrome b and eight other predicted protein coding genes have been located. The sequence shows extreme economy in that the genes have none or only a few noncoding bases between them, and in many cases the termination codons are not coded in the DNA but are created post-transcriptionally by polyadenylation of the mRNAs.
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              Determining association constants from titration experiments in supramolecular chemistry.

              The most common approach for quantifying interactions in supramolecular chemistry is a titration of the guest to solution of the host, noting the changes in some physical property through NMR, UV-Vis, fluorescence or other techniques. Despite the apparent simplicity of this approach, there are several issues that need to be carefully addressed to ensure that the final results are reliable. This includes the use of non-linear rather than linear regression methods, careful choice of stoichiometric binding model, the choice of method (e.g., NMR vs. UV-Vis) and concentration of host, the application of advanced data analysis methods such as global analysis and finally the estimation of uncertainties and confidence intervals for the results obtained. This tutorial review will give a systematic overview of all these issues-highlighting some of the key messages herein with simulated data analysis examples.

                Author and article information

                J Phys Chem Lett
                J Phys Chem Lett
                The Journal of Physical Chemistry Letters
                American Chemical Society
                13 February 2023
                23 February 2023
                : 14
                : 7
                : 1862-1869
                []Department of Medical Biochemistry and Biophysics, Umeå University , 90187 Umeå, Sweden
                []Department of Chemistry, Umeå University , 90187 Umeå, Sweden
                Author notes
                Author information
                © 2023 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                : 31 October 2022
                : 02 February 2023
                Funded by: Cancerfonden, doi 10.13039/501100002794;
                Award ID: 21 0302 PT 01 H
                Funded by: Kempestiftelserna, doi 10.13039/501100007067;
                Award ID: SMK-1632
                Funded by: Vetenskapsrådet, doi 10.13039/501100004359;
                Award ID: VR-NT 2017-05235
                Funded by: Vetenskapsrådet, doi 10.13039/501100004359;
                Award ID: VR-MH 2021-02468
                Funded by: Knut och Alice Wallenbergs Stiftelse, doi 10.13039/501100004063;
                Award ID: KAW2021-0173
                Funded by: Cancerfonden, doi 10.13039/501100002794;
                Award ID: 22 2380 Pj
                Custom metadata

                Physical chemistry
                Physical chemistry


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