结构s层生物学的新时代-实验和硅里程碑。

IF 4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Stephanie Grill-Walcher,Christina Schäffer
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引用次数: 0

摘要

表面(S-)层蛋白被认为是自然界中含量最丰富的蛋白质,在许多细菌和大多数古生菌中发挥着多样而重要的生物学作用。它们的功能范围从提供结构支持、维持细胞形状、抵御极端环境,到作为生物活性分子(如s层蛋白结合聚糖)的细胞表面展示基质,促进物种间相互作用和健康和疾病中的细胞通讯。s层晶格的复杂、对称、纳米尺度的模式长期以来一直吸引着结构生物学家,但直到最近方法学的进步才揭示了详细的分子见解。这些进展包括对结构域组织、细胞壁锚定机制以及新生蛋白质如何融入现有晶格的更深入理解。在样品制备和高分辨率成像方面取得的重大进展导致了各种细菌和古细菌物种s层的精确结构表征。此外,基于深度学习的结构预测的出现使得在几个主要未培养的微生物谱系中建立s层蛋白模型成为可能。本文综述了近5年来s层蛋白结构研究的主要成果,提出了实验结构确定的典型工作流程。它还首次探讨了计算s层建模的最新突破,并展望了计算机方法如何进一步促进我们对s层蛋白质结构的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new age in structural S-layer biology - Experimental and in silico milestones.
Surface (S-) layer proteins, considered as the most abundant proteins in nature, perform diverse and essential biological roles in many bacteria and most archaea. Their functions range from providing structural support, maintaining cell shape, and protecting against extreme environments to acting as a cell surface display matrix for biologically active molecules, such as S-layer protein-bound glycans, which facilitate interspecies interactions and cellular communication in both health and disease. The intricate, symmetric, nanometer-scale patterns of S-layer lattices have long fascinated structural biologists, yet only recent methodological advances have revealed detailed molecular insights. These advances include a deeper understanding of domain organization, cell wall anchoring mechanisms, and how nascent proteins are incorporated into existing lattices. Significant progress in sample preparation and high-resolution imaging has led to the precise structural characterization of S-layers across various bacterial and archaeal species. Furthermore, the advent of deep learning-based structure prediction has enabled modeling of S-layer proteins in several largely uncultured microbial lineages. This review summarizes major achievements in S-layer protein structural research over the past five years, presenting them with a typical workflow for the experimental structure determination. For the first time, it also explores recent breakthroughs in computational S-layer modelling and offers an outlook on how in silico methods may further advance our understanding of S-layer protein architecture.
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来源期刊
Journal of Biological Chemistry
Journal of Biological Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry
自引率
4.20%
发文量
1233
期刊介绍: The Journal of Biological Chemistry welcomes high-quality science that seeks to elucidate the molecular and cellular basis of biological processes. Papers published in JBC can therefore fall under the umbrellas of not only biological chemistry, chemical biology, or biochemistry, but also allied disciplines such as biophysics, systems biology, RNA biology, immunology, microbiology, neurobiology, epigenetics, computational biology, ’omics, and many more. The outcome of our focus on papers that contribute novel and important mechanistic insights, rather than on a particular topic area, is that JBC is truly a melting pot for scientists across disciplines. In addition, JBC welcomes papers that describe methods that will help scientists push their biochemical inquiries forward and resources that will be of use to the research community.
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