Spear John M, Noble Alex J, Xie Qing, Sousa Duncan R, Chapman Michael S, Stagg Scott M
Institute of Molecular Biophysics, 91 Chieftan Way, Florida State University, Tallahassee, FL 32306-4380, United States.
Department of Physics, 77 Chieftan Way, Florida State University, Tallahassee, FL 32306-4350, United States.
J Struct Biol. 2015 Nov;192(2):196-203. doi: 10.1016/j.jsb.2015.09.006. Epub 2015 Sep 25.
As direct electron detection devices in cryo-electron microscopy become ubiquitous, the field is now ripe for new developments in image analysis techniques that take advantage of their increased SNR coupled with their high-throughput frame collection abilities. In approaching atomic resolution of native-like biomolecules, the accurate extraction of structural locations and orientations of side-chains from frames depends not only on the electron dose that a sample receives but also on the ability to accurately estimate the CTF. Here we use a new 2.8Å resolution structure of a recombinant gene therapy virus, AAV-DJ with Arixtra, imaged on an FEI Titan Krios with a DE-20 direct electron detector to probe new metrics including relative side-chain density and ResLog analysis for optimizing the compensation of electron beam damage and to characterize the factors that are limiting the resolution of the reconstruction. The influence of dose compensation on the accuracy of CTF estimation and particle classifiability are also presented. We show that rigorous dose compensation allows for better particle classifiability and greater recovery of structural information from negatively charged, electron-sensitive side-chains, resulting in a more accurate macromolecular model.
随着低温电子显微镜中的直接电子检测设备变得无处不在,利用其提高的信噪比和高通量帧采集能力的图像分析技术领域现在已迎来新发展的成熟时机。在接近天然样生物分子的原子分辨率时,从帧中准确提取侧链的结构位置和方向不仅取决于样品接收的电子剂量,还取决于准确估计对比度传递函数(CTF)的能力。在这里,我们使用一种重组基因治疗病毒AAV-DJ与阿哌沙班的新的2.8埃分辨率结构,该结构在配备DE-20直接电子探测器的FEI Titan Krios上成像,以探索新的指标,包括相对侧链密度和ResLog分析,以优化电子束损伤的补偿,并表征限制重建分辨率的因素。还介绍了剂量补偿对CTF估计准确性和颗粒可分类性的影响。我们表明,严格的剂量补偿可实现更好的颗粒可分类性,并能从带负电荷、对电子敏感的侧链中更大程度地恢复结构信息,从而得到更准确的大分子模型。