Laboratoire de Biologie et Pharmacologie Appliquée, Ecole Normale Supérieure de Cachan, Centre National de la Recherche Scientifique, Cachan, France.
PLoS One. 2012;7(6):e38905. doi: 10.1371/journal.pone.0038905. Epub 2012 Jun 20.
HIV-1 nucleocapsid protein (NC) is involved in the rearrangement of nucleic acids occurring in key steps of reverse transcription. The protein, through its two zinc fingers, interacts preferentially with unpaired guanines in single-stranded sequences. In mini-cTAR stem-loop, which corresponds to the top half of the cDNA copy of the transactivation response element of the HIV-1 genome, NC was found to exhibit a clear preference for the TGG sequence at the bottom of mini-cTAR stem. To further understand how this site was selected among several potential binding sites containing unpaired guanines, we probed the intrinsic dynamics of mini-cTAR using (13)C relaxation measurements. Results of spin relaxation time measurements have been analyzed using the model-free formalism and completed by dispersion relaxation measurements. Our data indicate that the preferentially recognized guanine in the lower part of the stem is exempt of conformational exchange and highly mobile. In contrast, the unrecognized unpaired guanines of mini-cTAR are involved in conformational exchange, probably related to transient base-pairs. These findings support the notion that NC preferentially recognizes unpaired guanines exhibiting a high degree of mobility. The ability of NC to discriminate between close sequences through their dynamic properties contributes to understanding how NC recognizes specific sites within the HIV genome.
HIV-1 核衣壳蛋白(NC)参与逆转录过程中关键步骤中核酸的重排。该蛋白通过其两个锌指,优先与单链序列中未配对的鸟嘌呤相互作用。在 mini-cTAR 发夹环中,对应于 HIV-1 基因组反式激活反应元件 cDNA 拷贝的上半部分,发现 NC 对 mini-cTAR 茎底部的 TGG 序列表现出明显的偏好。为了进一步了解在包含未配对鸟嘌呤的几个潜在结合位点中如何选择该位点,我们使用(13)C 弛豫测量来探测 mini-cTAR 的固有动力学。自旋弛豫时间测量的结果使用无模型形式主义进行了分析,并通过弥散弛豫测量进行了补充。我们的数据表明,茎下部优先识别的鸟嘌呤不受构象交换影响且高度移动。相比之下,mini-cTAR 中未被识别的未配对鸟嘌呤参与构象交换,可能与瞬时碱基对有关。这些发现支持了这样的观点,即 NC 优先识别具有高度流动性的未配对鸟嘌呤。NC 通过其动态特性区分紧密序列的能力有助于理解 NC 如何识别 HIV 基因组中的特定位点。