Suppr超能文献

利用哺乳动物低复杂度结构域制备液-液相分离驱动的水下附着涂层。

Exploiting mammalian low-complexity domains for liquid-liquid phase separation-driven underwater adhesive coatings.

机构信息

Materials and Physical Biology Division, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sci Adv. 2019 Aug 23;5(8):eaax3155. doi: 10.1126/sciadv.aax3155. eCollection 2019 Aug.

Abstract

Many biological materials form via liquid-liquid phase separation (LLPS), followed by maturation into a solid-like state. Here, using a biologically inspired assembly mechanism designed to recapitulate these sequential assemblies, we develop ultrastrong underwater adhesives made from engineered proteins containing mammalian low-complexity (LC) domains. We show that LC domain-mediated LLPS and maturation substantially promotes the wetting, adsorption, priming, and formation of dense, uniform amyloid nanofiber coatings on diverse surfaces (e.g., Teflon), and even penetrating difficult-to-access locations such as the interiors of microfluidic devices. Notably, these coatings can be deposited on substrates over a broad range of pH values (3 to 11) and salt concentrations (up to 1 M NaCl) and exhibit strong underwater adhesion performance. Beyond demonstrating the utility of mammalian LC domains for driving LLPS in soft materials applications, our study illustrates a powerful example of how combining LLPS with subsequent maturation steps can be harnessed for engineering protein-based materials.

摘要

许多生物材料通过液-液相分离(LLPS)形成,然后成熟为类似固体的状态。在这里,我们使用一种受生物启发的组装机制来模拟这些连续的组装,开发出由含有哺乳动物低复杂度(LC)结构域的工程蛋白制成的超强水下胶粘剂。我们表明,LC 结构域介导的液-液相分离和成熟过程极大地促进了在各种表面(例如特氟龙)上形成湿润、吸附、引发和形成致密、均匀的淀粉样纤维纳米涂层,甚至可以渗透到难以触及的位置,如微流控设备的内部。值得注意的是,这些涂层可以在很宽的 pH 值(3 至 11)和盐浓度(高达 1 M NaCl)范围内沉积在基底上,并表现出很强的水下附着力。除了展示哺乳动物 LC 结构域在软物质应用中驱动 LLPS 的实用性外,我们的研究还说明了如何将 LLPS 与后续成熟步骤相结合,用于工程蛋白基材料的一个有力示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22f2/6707783/6e6626fc7a76/aax3155-F1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验