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了解你的清洁剂:负染色电子显微镜中清洁剂背景的案例研究。

Know your detergents: A case study on detergent background in negative stain electron microscopy.

机构信息

Department of Structural Biology, Max Planck Institute of Biophysics, Max-von-Laue Strasse 3, 60438 Frankfurt/Main, Germany.

Department of Structural Biology, Max Planck Institute of Biophysics, Max-von-Laue Strasse 3, 60438 Frankfurt/Main, Germany.

出版信息

J Struct Biol. 2018 Sep;203(3):242-246. doi: 10.1016/j.jsb.2018.05.008. Epub 2018 May 29.

Abstract

Electron cryo-microscopy (cryo-EM) of purified macromolecular complexes is now providing 3D-structures at near-atomic resolution (Kühlbrandt, 2014). Cryo-EM can tolerate heterogeneous specimens, however, high-resolution efforts demand highly optimized samples. Therefore, significant pre-screening and evaluation is essential before a final dataset can be obtained. While cryo-EM is comparably slow and requires access to expensive high-end electron microscopes, room temperature negative stain EM is fast, inexpensive and provides immediate feedback. This has made it a popular approach for sample quality control in the early phases of a project. Optimization in negative stain can be critical not only for cryo-EM, but also for X-ray crystallography, as highlighted for example by studies on GPCR complexes (Kang et al., 2015; Rasmussen et al., 2012). However, when not done carefully and interpreted correctly, negative stain can be prone to artifacts. A typical problem, which is often overlooked in the interpretation of EM data of small membrane proteins, is the background, caused by empty detergent micelles, as it can be easily confused with detergent embedded protein samples. To counteract this ubiquitous problem, we present a case study on commonly used detergents.We show that most detergents produce significant background in negative stain EM, even below nominal critical micelle concentration (CMC). Unawareness of such artefacts can lead to misinterpretation of sample quality and homogeneity. We hope that this study can serve as a template to evaluate images in the early phases of a project.

摘要

电子冷冻显微镜(cryo-EM)对纯化的大分子复合物进行成像,目前可获得接近原子分辨率的 3D 结构(Kühlbrandt,2014)。cryo-EM 可以容忍不均匀的标本,然而,为了获得高分辨率的数据,需要对样品进行高度优化。因此,在获得最终数据集之前,必须进行大量的预筛选和评估。虽然 cryo-EM 相对较慢,并且需要使用昂贵的高端电子显微镜,但室温负染色 EM 速度快、成本低,并且可以提供即时反馈。这使得它成为项目早期样品质量控制的一种流行方法。负染色的优化不仅对 cryo-EM 至关重要,对 X 射线晶体学也是如此,例如在 GPCR 复合物的研究中就强调了这一点(Kang 等人,2015;Rasmussen 等人,2012)。然而,如果不谨慎处理和正确解释,负染色可能容易产生假象。一个典型的问题是,在解释小膜蛋白的 EM 数据时经常被忽视,即背景,这是由空的去污剂胶束引起的,因为它很容易与嵌入去污剂的蛋白质样品混淆。为了解决这个普遍存在的问题,我们对常用的去污剂进行了案例研究。我们表明,即使低于名义临界胶束浓度(CMC),大多数去污剂在负染色 EM 中也会产生显著的背景。如果不知道这些假象的存在,可能会导致对样品质量和均一性的错误解释。我们希望本研究可以作为评估项目早期图像的模板。

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