Sgallová Ráchel, Volek Martin, Kurfürst Jaroslav, Srb Pavel, Veverka Václav, Curtis Edward A
Institute of Organic Chemistry and Biochemistry, Prague, Czech Republic.
Department of Low-Temperature Physics, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic.
Chemistry. 2024 Dec 2;30(67):e202401437. doi: 10.1002/chem.202401437. Epub 2024 Nov 11.
G-quadruplexes are noncanonical nucleic acid structures formed by stacked guanosine tetrads. Despite their functional and structural diversity, a single consensus model is typically used to describe sequences with the potential to form G-quadruplex structures. We are interested in developing more specific sequence models for G-quadruplexes. In previous work, we functionally characterized each sequence in a 496-member library of variants of a monomeric reference G-quadruplex for the ability to bind GTP, promote a model peroxidase reaction, generate intrinsic fluorescence, and to form multimers. Here we used NMR to obtain a broad overview of the structural features of this library. After determining the H NMR spectrum of each of these 496 sequences, spectra were sorted into multiple classes, most of which could be rationalized based on mutational patterns in the primary sequence. A more detailed screen using representative sequences provided additional information about spectral classes, and confirmed that the classes determined based on analysis of H NMR spectra are correlated with functional categories identified in previous studies. These results provide new insights into the surprising structural diversity of this library. They also show how NMR can be used to identify classes of sequences with distinct mutational signatures and functions.
G-四链体是由堆叠的鸟嘌呤四联体形成的非经典核酸结构。尽管它们在功能和结构上具有多样性,但通常使用单一的共识模型来描述具有形成G-四链体结构潜力的序列。我们有兴趣开发更具特异性的G-四链体序列模型。在之前的工作中,我们对一个单体参考G-四链体的496个变体文库中的每个序列进行了功能表征,以确定其结合GTP、促进模型过氧化物酶反应、产生内在荧光以及形成多聚体的能力。在这里,我们使用核磁共振(NMR)对该文库的结构特征进行了全面概述。在确定了这496个序列中每个序列的氢核磁共振谱后,将谱图分类为多个类别,其中大多数可以根据一级序列中的突变模式进行合理解释。使用代表性序列进行的更详细筛选提供了有关谱类别的更多信息,并证实基于氢核磁共振谱分析确定的类别与先前研究中确定的功能类别相关。这些结果为该文库惊人的结构多样性提供了新的见解。它们还展示了如何使用核磁共振来识别具有不同突变特征和功能的序列类别。