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SPOT-RASTR-一种冷冻电镜样本制备技术,可克服择优取向以及空气/水界面相关问题。

SPOT-RASTR-A cryo-EM specimen preparation technique that overcomes problems with preferred orientation and the air/water interface.

作者信息

Esfahani Behrouz G, Randolph Peter S, Peng Ruizhi, Grant Timothy, Stroupe M Elizabeth, Stagg Scott M

机构信息

Institute of Molecular Biophysics, Florida State University, 91 Chieftan Way, Tallahassee, FL 32306, USA.

Department of Biochemistry, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.

出版信息

PNAS Nexus. 2024 Aug 6;3(8):pgae284. doi: 10.1093/pnasnexus/pgae284. eCollection 2024 Aug.

DOI:10.1093/pnasnexus/pgae284
PMID:39108302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11303004/
Abstract

In cryogenic electron microscopy (cryo-EM), specimen preparation remains a bottleneck despite recent advancements. Classical plunge freezing methods often result in issues like aggregation and preferred orientations at the air/water interface. Many alternative methods have been proposed, but there remains a lack a universal solution, and multiple techniques are often required for challenging samples. Here, we demonstrate the use of lipid nanotubes with nickel NTA headgroups as a platform for cryo-EM sample preparation. His-tagged specimens of interest are added to the tubules, and they can be frozen by conventional plunge freezing. We show that the nanotubes protect samples from the air/water interface and promote a wider range of orientations. The reconstruction of average subtracted tubular regions (RASTR) method allows for the removal of the nanotubule signal from the cryo-EM images resulting in isolated images of specimens of interest. Testing with β-galactosidase validates the method's ability to capture particles at lower concentrations, overcome preferred orientations, and achieve near-atomic resolution reconstructions. Since the nanotubules can be identified and targeted automatically at low magnification, the method enables fully automated data collection. Furthermore, the particles on the tubes can be automatically identified and centered using 2D classification enabling particle picking without requiring prior information. Altogether, our approach that we call specimen preparation on a tube RASTR holds promise for overcoming air-water interface and preferred orientation challenges and offers the potential for fully automated cryo-EM data collection and structure determination.

摘要

在低温电子显微镜(cryo-EM)中,尽管最近取得了进展,但样品制备仍然是一个瓶颈。传统的骤冷冷冻方法常常会导致诸如聚集以及在空气/水界面处出现择优取向等问题。已经提出了许多替代方法,但仍然缺乏通用的解决方案,对于具有挑战性的样品通常需要多种技术。在这里,我们展示了使用带有镍-NTA头部基团的脂质纳米管作为低温电子显微镜样品制备的平台。将带有组氨酸标签的感兴趣的样品添加到纳米管中,并且可以通过传统的骤冷冷冻进行冷冻。我们表明,纳米管可保护样品免受空气/水界面的影响,并促进更广泛的取向。平均减法管状区域重建(RASTR)方法允许从低温电子显微镜图像中去除纳米管信号,从而得到感兴趣样品的孤立图像。用β-半乳糖苷酶进行测试验证了该方法在较低浓度下捕获颗粒、克服择优取向以及实现近原子分辨率重建的能力。由于可以在低放大倍数下自动识别和靶向纳米管,该方法实现了全自动数据采集。此外,使用二维分类可以自动识别管上的颗粒并将其居中,从而无需先验信息即可进行颗粒挑选。总之,我们称之为“管上样品制备RASTR”的方法有望克服空气-水界面和择优取向挑战,并为全自动低温电子显微镜数据采集和结构测定提供潜力。

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本文引用的文献

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Challenges in making ideal cryo-EM samples.制作理想的冷冻电镜样品的挑战。
Curr Opin Struct Biol. 2023 Aug;81:102646. doi: 10.1016/j.sbi.2023.102646. Epub 2023 Jun 29.
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Perspective: Biochemical and Physical Constraints Associated With Preparing Thin Specimens for Single-Particle Cryo-EM.观点:与单颗粒冷冻电镜薄样品制备相关的生化与物理限制因素
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DeepEMhancer: a deep learning solution for cryo-EM volume post-processing.DeepEMhancer:一种用于冷冻电镜体积后处理的深度学习解决方案。
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