National Institutes of Health/National Institute of General Medical Sciences (NIH/NIGMS)
GM071940
United States
National Science Foundation (NSF, United States)
DMR-1548924
United States
Citation
Journal: Biol Imaging / Year: 2024 Title: TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices. Authors: Hui Wang / Shiqing Liao / Xinye Yu / Jiayan Zhang / Z Hong Zhou / Abstract: Cryogenic electron tomography (cryoET) is capable of determining biological structures of molecular complexes at near-atomic resolution by averaging half a million subtomograms. While abundant ...Cryogenic electron tomography (cryoET) is capable of determining biological structures of molecular complexes at near-atomic resolution by averaging half a million subtomograms. While abundant complexes/particles are often clustered in arrays, precisely locating and seamlessly averaging such particles across many tomograms present major challenges. Here, we developed TomoNet, a software package with a modern graphical user interface to carry out the entire pipeline of cryoET and subtomogram averaging to achieve high resolution. TomoNet features built-in automatic particle picking and three-dimensional (3D) classification functions and integrates commonly used packages to streamline high-resolution subtomogram averaging for structures in 1D, 2D, or 3D arrays. Automatic particle picking is accomplished in two complementary ways: one based on template matching and the other using deep learning. TomoNet's hierarchical file organization and visual display facilitate efficient data management as required for large cryoET datasets. Applications of TomoNet to three types of datasets demonstrate its capability of efficient and accurate particle picking on flexible and imperfect lattices to obtain high-resolution 3D biological structures: virus-like particles, bacterial surface layers within cellular lamellae, and membranes decorated with nuclear egress protein complexes. These results demonstrate TomoNet's potential for broad applications to various cryoET projects targeting high-resolution structures.
Film or detector model: GATAN K2 BASE (4k x 4k) / Number real images: 41 / Average electron dose: 90.0 e/Å2
Experimental equipment
Model: Titan Krios / Image courtesy: FEI Company
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Image processing
Extraction
Number tomograms: 4 / Number images used: 13558
Final angle assignment
Type: ANGULAR RECONSTITUTION
Final reconstruction
Applied symmetry - Point group: C6 (6 fold cyclic) / Resolution.type: BY AUTHOR / Resolution: 3.2 Å / Resolution method: FSC 0.143 CUT-OFF / Details: We used Relion4 for the final alignment / Number subtomograms used: 13558
FSC plot (resolution estimation)
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