School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, U.K.
Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, U.K.
Biochem Soc Trans. 2024 Jun 26;52(3):1529-1537. doi: 10.1042/BST20231553.
Sample preparation can present a significant hurdle within single particle cryo-electron microscopy (cryoEM), resulting in issues with reproducibility, data quality or an inability to visualise the sample. There are several factors which can influence this, including sample or buffer composition, grid type, route of sample preparation and interactions with the air-water interface (AWI). Here, we review some of the current routes for sample preparation and the associated challenges. We discuss a range of approaches for overcoming these challenges, such as minimising the grid preparation time, surfactants, grid type and biochemical approaches such as nanomagnetic beads. Finally, we discuss how a set of commercially available protein samples may serve as a benchmark suite for future technologies. This provides a route to compare techniques' abilities not just to generate high-resolution structures but also to overcome the challenges traditionally associated with cryoEM. As the field continues to produce new approaches to sample preparation and we start to better understand the underlying principles behind the behaviour of proteins within a thin film and in response to different environments, especially grid composition, it is hoped that more universal solutions can be provided that make the intractable systems tractable, improve resolution and, importantly, speed up data collection and reduce the currently required dataset sizes.
样品制备在单颗粒冷冻电子显微镜(cryoEM)中可能是一个重大障碍,导致重现性、数据质量或无法可视化样品等问题。有几个因素会影响这一点,包括样品或缓冲液组成、网格类型、样品制备途径以及与气-水界面(AWI)的相互作用。在这里,我们回顾了一些当前的样品制备途径和相关挑战。我们讨论了一系列克服这些挑战的方法,例如最小化网格制备时间、表面活性剂、网格类型和生化方法,如纳米磁珠。最后,我们讨论了一组市售的蛋白质样品如何可以作为未来技术的基准套件。这为比较技术的能力提供了一种途径,不仅可以生成高分辨率结构,还可以克服传统上与 cryoEM 相关的挑战。随着该领域继续提出新的样品制备方法,并且我们开始更好地理解蛋白质在薄膜中的行为以及对不同环境(特别是网格组成)的反应背后的基本原理,希望能够提供更通用的解决方案,使棘手的系统变得易于处理,提高分辨率,并且重要的是,加快数据采集并减少当前所需的数据集大小。