Diverse Supramolecular Nanofiber Networks Assembled by Functional Low-Complexity Domains
Diverse Supramolecular Nanofiber Networks Assembled by Functional Low-Complexity Domains
复制标题
由功能性低复杂性域组装的多种超分子纳米纤维网络
DOI：
10.1021/acsnano.7b02298
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发表时间：
2017-07-01
期刊：
影响因子：
17.1
通讯作者：
Zhong, Chao
中科院分区：
文献类型：
--
作者：
An, Bolin;Wang, Xinyu;Zhong, Chao
自组装超分子纳米纤维在自然界中很常见，对纳米技术和材料科学都具有根本的研究意义和技术重要性。尽管取得了重大进展，但合成纳米纤维仍然缺乏生物分子的结构和功能多样性，并且将一种分子可控地组装成具有广泛功能特性的多种纤维结构仍然具有挑战性。在此，我们利用肉瘤融合蛋白（FUS）的低复杂性（LC）序列结构域——一种具有缓慢淀粉样纤维组装动力学的重要细胞核蛋白，构建了具有不同结构特征和荧光功能的类似无规共聚物、多嵌段和自分类的超分子纤维网络。我们展示了这些网络在配体修饰的金纳米粒子、量子点、纳米棒、DNA折纸以及混合结构的模板化、空间可控组装中的应用。由于这些纳米纤维具有可区分的纳米结构，这种组装是依赖于结构的。通过将模块化遗传策略与动力学控制的复杂超分子自组装相结合，我们证明了单一类型的蛋白质分子可用于构建具有不同功能的多种一维超分子纳米结构。
Self-assembling supramolecular nanofibers, common in the natural world, are of fundamental interest and technical importance to both nanotechnology and materials science. Despite important advances, synthetic nanofibers still lack the structural and functional diversity of biological molecules, and the controlled assembly of one type of molecule into a variety of fibrous structures with wide-ranging functional attributes remains challenging. Here, we harness the low-complexity (LC) sequence domain of fused in sarcoma (FUS) protein, an essential cellular nuclear protein with slow kinetics of amyloid fiber assembly, to construct random copolymer-like, multiblock, and self-sorted supramolecular fibrous networks with distinct structural features and fluorescent functionalities. We demonstrate the utilities of these networks in the templated, spatially controlled assembly of ligand-decorated gold nanoparticles, quantum dots, nanorods, DNA origami, and hybrid structures. Owing to the distinguishable nanoarchitectures of these nanofibers, this assembly is structure-dependent. By coupling a modular genetic strategy with kinetically controlled complex supramolecular self-assembly, we demonstrate that a single type of protein molecule can be used to engineer diverse one-dimensional supramolecular nanostructures with distinct functionalities.