Distance measurements between paramagnetic ligands bound to parallel stranded guanine quadruplexes

文献情報

出版日 2016-05-19

DOI 10.1039/C6CP01121G

インパクトファクター 3.676

著者

V. A. Szalai

原文を見る

要旨

Aside from a double helix, deoxyribonucleic acid (DNA) folds into non-canonical structures, one of which is the guanine quadruplex. Cationic porphyrins bind guanine quadruplexes, but the effects of ligand binding on the structure of guanine quadruplexes with more than four contiguous guanine quartets remains to be fully elucidated. Double electron-electron resonance (DEER) spectroscopy conducted at 9.5 GHz (X-band) using broadband, shaped inversion pulses was used to measure the distances between cationic copper porphyrins bound to model parallel-stranded guanine quadruplexes with increasing numbers of guanine quartets. A single Gaussian component was found to best model the time domain datasets, characteristic of a 2 : 1 binding stoichiometry between the porphyrins and each quadruplex. The measured Cu2+–Cu2+ distances were found to be linearly proportional with the number of guanines. Rather unexpectedly, the ligand end-stacking distance was found to monotonically decreases the overall quadruplex length was extended, suggesting a conformational change in the quadruplex secondary structure dependent upon the number of successive guanine quartets.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.