层析成像分析:层析成像颗粒的总和原位揭示分子结构

IF 3.5 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Structural Biology: X Pub Date : 2022-01-01 DOI:10.1016/j.yjsbx.2022.100063
Friedrich Förster
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引用次数: 3

摘要

冷冻电子断层扫描特别适合于深入了解天然状态下细胞和组织的分子结构。虽然冷冻的水合样品能够承受足够的电子剂量来区分断层图像中不同类型的颗粒,但累积的束损伤不允许单独解析其详细的分子结构。用于亚图平均和分类的统计方法相干地增强了与相同类型大分子的拷贝相对应的颗粒的信号,允许获得对大分子的更高分辨率的见解。在这里,我回顾了Wolfgang Baumeister实验室亚图分析的进展,这些进展使天然细胞结构生物学的梦想成为现实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Subtomogram analysis: The sum of a tomogram’s particles reveals molecular structure in situ

Cryo-electron tomography is uniquely suited to provide insights into the molecular architecture of cells and tissue in the native state. While frozen hydrated specimens tolerate sufficient electron doses to distinguish different types of particles in a tomogram, the accumulating beam damage does not allow resolving their detailed molecular structure individually. Statistical methods for subtomogram averaging and classification that coherently enhance the signal of particles corresponding to copies of the same type of macromolecular allow obtaining much higher resolution insights into macromolecules. Here, I review the developments in subtomogram analysis at Wolfgang Baumeister’s laboratory that make the dream of structural biology in the native cell become reality.

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来源期刊
Journal of Structural Biology: X
Journal of Structural Biology: X Biochemistry, Genetics and Molecular Biology-Structural Biology
CiteScore
6.50
自引率
0.00%
发文量
20
审稿时长
62 days
期刊最新文献
Corrigendum to “Minimizing ice contamination during specimen preparation for cryo-soft X-ray tomography and cryo-electron tomography” [J. Struct. Biol.: X 10(2024) 100113] Structural analysis of the stable form of fibroblast growth factor 2 – FGF2-STAB Localization of albumin with correlative super resolution light- and electron microscopy in the kidney Minimizing ice contamination during specimen preparation for cryo-soft X-ray tomography and cryo-electron tomography Assessment of submicron bone tissue composition in plastic-embedded samples using optical photothermal infrared (O-PTIR) spectral imaging and machine learning
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