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天然的 GCN4 亮氨酸拉链结构域并不特异性指定二聚体的寡聚化状态。

The native GCN4 leucine-zipper domain does not uniquely specify a dimeric oligomerization state.

机构信息

Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA.

出版信息

Biochemistry. 2012 Nov 27;51(47):9581-91. doi: 10.1021/bi301132k. Epub 2012 Nov 13.

Abstract

The dimerization domain of the yeast transcription factor GCN4, one of the first coiled-coil proteins to be structurally characterized at high resolution, has served as the basis for numerous fundamental studies on α-helical folding. Mutations in the GCN4 leucine zipper are known to change its preferred oligomerization state from dimeric to trimeric or tetrameric; however, the wild-type sequence has been assumed to encode a two-chain assembly exclusively. Here we demonstrate that the GCN4 coiled-coil domain can populate either a dimer or trimer fold, depending on environment. We report high-resolution crystal structures of the wild-type sequence in dimeric and trimeric assemblies. Biophysical measurements suggest populations of both oligomerization states under certain experimental conditions in solution. We use parallel tempering molecular dynamics simulations on the microsecond time scale to compare the stability of the dimer and trimer folded states in isolation. In total, our results suggest that the folding behavior of the well-studied GCN4 leucine-zipper domain is more complex than was previously appreciated. Our results have implications in ongoing efforts to establish predictive algorithms for coiled-coil folds and the selection of coiled-coil model systems for design and mutational studies where oligomerization state specificity is an important consideration.

摘要

酵母转录因子 GCN4 的二聚化结构域是最早在高分辨率下进行结构特征分析的卷曲螺旋蛋白之一,它为许多关于α-螺旋折叠的基础研究提供了基础。已知 GCN4 亮氨酸拉链中的突变会改变其优先的寡聚化状态,从二聚体变为三聚体或四聚体;然而,野生型序列被认为仅编码二链组装。在这里,我们证明 GCN4 卷曲螺旋结构域可以根据环境选择二聚体或三聚体折叠。我们报告了野生型序列在二聚体和三聚体组装中的高分辨率晶体结构。生物物理测量表明,在某些实验条件下,溶液中存在两种寡聚化状态的种群。我们使用微秒时间尺度的并行温度分子动力学模拟来比较孤立状态下二聚体和三聚体折叠状态的稳定性。总的来说,我们的结果表明,经过充分研究的 GCN4 亮氨酸拉链结构域的折叠行为比以前认为的要复杂。我们的结果对正在进行的建立卷曲螺旋折叠预测算法的努力以及选择用于设计和突变研究的卷曲螺旋模型系统具有重要意义,在这些研究中,寡聚化状态特异性是一个重要的考虑因素。

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