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本文引用的文献

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Ribosome•RelA structures reveal the mechanism of stringent response activation.核糖体•RelA结构揭示了应急反应激活的机制。
Elife. 2016 Jul 19;5:e17029. doi: 10.7554/eLife.17029.
2
Long shelf-life streptavidin support-films suitable for electron microscopy of biological macromolecules.适用于生物大分子电子显微镜观察的长保质期抗生物素蛋白支撑膜。
J Struct Biol. 2016 Aug;195(2):238-244. doi: 10.1016/j.jsb.2016.06.009. Epub 2016 Jun 15.
3
Antibody-based affinity cryo-EM grid.基于抗体的亲和冷冻电镜网格。
Methods. 2016 May 1;100:16-24. doi: 10.1016/j.ymeth.2016.01.010. Epub 2016 Jan 21.
4
Nonfouling NTA-PEG-Based TEM Grid Coatings for Selective Capture of Histidine-Tagged Protein Targets from Cell Lysates.用于从细胞裂解物中选择性捕获组氨酸标签蛋白靶标的基于非污染性NTA-PEG的透射电镜网格涂层
Langmuir. 2016 Jan 19;32(2):551-9. doi: 10.1021/acs.langmuir.5b03445. Epub 2016 Jan 4.
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CTFFIND4: Fast and accurate defocus estimation from electron micrographs.CTFFIND4:从电子显微照片中快速准确地估计散焦量。
J Struct Biol. 2015 Nov;192(2):216-21. doi: 10.1016/j.jsb.2015.08.008. Epub 2015 Aug 13.
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Chemically functionalized carbon films for single molecule imaging.化学功能化的碳膜用于单分子成像。
J Struct Biol. 2014 Mar;185(3):405-17. doi: 10.1016/j.jsb.2014.01.006. Epub 2014 Jan 21.
7
Quantifying the local resolution of cryo-EM density maps.量化低温电子显微镜密度图的局部分辨率。
Nat Methods. 2014 Jan;11(1):63-5. doi: 10.1038/nmeth.2727. Epub 2013 Nov 10.
8
Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM.电子计数和束流诱导运动校正可实现近原子分辨率的单颗粒冷冻电镜。
Nat Methods. 2013 Jun;10(6):584-90. doi: 10.1038/nmeth.2472. Epub 2013 May 5.
9
RELION: implementation of a Bayesian approach to cryo-EM structure determination.RELION:贝叶斯方法在低温电子显微镜结构测定中的应用。
J Struct Biol. 2012 Dec;180(3):519-30. doi: 10.1016/j.jsb.2012.09.006. Epub 2012 Sep 19.
10
Electron microscopy of biotinylated protein complexes bound to streptavidin monolayer crystals.生物素化蛋白复合物与链霉亲和素单层晶体结合的电子显微镜观察。
J Struct Biol. 2012 Oct;180(1):249-53. doi: 10.1016/j.jsb.2012.04.025. Epub 2012 May 11.

单层晶体抗生物素蛋白支撑膜为冷冻电镜图像质量提供了内部标准。

Monolayer-crystal streptavidin support films provide an internal standard of cryo-EM image quality.

作者信息

Han Bong-Gyoon, Watson Zoe, Cate Jamie H D, Glaeser Robert M

机构信息

Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA.

Department of Chemistry, University of California, Berkeley, CA 94720, USA.

出版信息

J Struct Biol. 2017 Dec;200(3):307-313. doi: 10.1016/j.jsb.2017.02.009. Epub 2017 Mar 1.

DOI:10.1016/j.jsb.2017.02.009
PMID:28259651
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5581310/
Abstract

Analysis of images of biotinylated Escherichia coli 70S ribosome particles, bound to streptavidin affinity grids, demonstrates that the image-quality of particles can be predicted by the image-quality of the monolayer crystalline support film. The quality of the Thon rings is also a good predictor of the image-quality of particles, but only when images of the streptavidin crystals extend to relatively high resolution. When the estimated resolution of streptavidin was 5Å or worse, for example, the ribosomal density map obtained from 22,697 particles went to only 9.5Å, while the resolution of the map reached 4.0Å for the same number of particles, when the estimated resolution of streptavidin crystal was 4Å or better. It thus is easy to tell which images in a data set ought to be retained for further work, based on the highest resolution seen for Bragg peaks in the computed Fourier transforms of the streptavidin component. The refined density map obtained from 57,826 particles obtained in this way extended to 3.6Å, a marked improvement over the value of 3.9Å obtained previously from a subset of 52,433 particles obtained from the same initial data set of 101,213 particles after 3-D classification. These results are consistent with the hypothesis that interaction with the air-water interface can damage particles when the sample becomes too thin. Streptavidin monolayer crystals appear to provide a good indication of when that is the case.

摘要

对结合到链霉亲和网格上的生物素化大肠杆菌70S核糖体颗粒的图像分析表明,颗粒的图像质量可以通过单层晶体支撑膜的图像质量来预测。松环的质量也是颗粒图像质量的一个很好的预测指标,但只有当链霉亲和素晶体的图像延伸到相对较高的分辨率时才成立。例如,当链霉亲和素的估计分辨率为5埃或更差时,从22697个颗粒获得的核糖体密度图仅达到9.5埃,而当链霉亲和素晶体的估计分辨率为4埃或更好时,相同数量颗粒的密度图分辨率达到4.0埃。因此,根据链霉亲和素成分计算的傅里叶变换中布拉格峰的最高分辨率,很容易判断数据集中哪些图像应该保留用于进一步研究。以这种方式从57826个颗粒获得的精制密度图延伸到3.6埃,比之前从同一101213个颗粒的初始数据集中通过三维分类获得的52433个颗粒子集中得到的3.9埃的值有显著提高。这些结果与以下假设一致:当样品变得太薄时,与空气-水界面的相互作用会损坏颗粒。链霉亲和素单层晶体似乎很好地表明了何时会出现这种情况。