Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP) , 2-1, Hirosawa, Wako, Saitama 351-0198, Japan.
Institute of Multidisciplinary Research for Advanced Materials, Tohoku University , 2-1-1 Katahira, Aoba, Sendai, Miyagi 980-8577, Japan.
J Phys Chem B. 2017 Jun 8;121(22):5463-5473. doi: 10.1021/acs.jpcb.7b00546. Epub 2017 May 24.
Elucidating the protein folding mechanism is crucial to understand how proteins acquire their unique structures to realize various biological functions. With this aim, the folding/unfolding of small globular proteins has been extensively studied. Interestingly, recent studies have revealed that even such small proteins represent considerably complex processes. In this study, we examined the folding/unfolding process of a small α-helical protein, the B domain of protein A (BdpA), at equilibrium using two-dimensional fluorescence lifetime correlation spectroscopy with 10 μs time resolution. The results showed that although the BdpA is a two-state folder, both the native and unfolded states are highly heterogeneous and the conformational conversion within each ensemble occurs within 10 μs. Furthermore, it was shown that the average structures of both ensembles gradually change and become more elongated as the denaturant concentration increases. The analysis on two mutants suggested that fraying of the N-terminal helix is the origin of the inhomogeneity of the native state. Because the direct observation of the ensemble nature of the native state at the single-molecule level has not been reported, the data obtained in this study give new insights into complex conformational properties of small proteins.
阐明蛋白质折叠机制对于理解蛋白质如何获得其独特的结构以实现各种生物功能至关重要。为此,人们已经广泛研究了小分子球状蛋白质的折叠/去折叠过程。有趣的是,最近的研究表明,即使是这样的小蛋白质也代表了相当复杂的过程。在这项研究中,我们使用二维荧光寿命相关光谱技术,以 10 μs 的时间分辨率,在平衡状态下研究了小分子α-螺旋蛋白质 A 蛋白的 B 结构域(BdpA)的折叠/去折叠过程。结果表明,尽管 BdpA 是一个两态折叠体,但天然状态和去折叠状态都是高度异质的,并且每个构象集合内的构象转换在 10 μs 内发生。此外,结果表明,随着变性剂浓度的增加,两个集合的平均结构逐渐变化并变得更加拉长。对两个突变体的分析表明,N 端螺旋的散丝是天然状态不均匀性的起源。由于在单分子水平上尚未报道对天然状态集合性质的直接观察,因此本研究获得的数据为小分子复杂构象性质提供了新的见解。