Frontiers in Cellular and Infection Microbiology | |
Computational methods for in situ structural studies with cryogenic electron tomography | |
Cellular and Infection Microbiology | |
Jiaqi Zhai1  Chongjiao Ren1  Huangtao Zhang1  Jiaxin Gou1  Shilin Zhu1  Qian Zhao1  Yaqi Zhang1  Da Lu1  Cuicui Zhao1  Xinqi Gong2  | |
[1] Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China;Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China;Beijing Academy of Intelligence, Beijing, China; | |
关键词: cryo-electron tomography (cryo-ET); subtomogram averaging (STA); in situ; 3D reconstruction; deep learning; mathematical models; | |
DOI : 10.3389/fcimb.2023.1135013 | |
received in 2022-12-31, accepted in 2023-08-29, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
Cryo-electron tomography (cryo-ET) plays a critical role in imaging microorganisms in situ in terms of further analyzing the working mechanisms of viruses and drug exploitation, among others. A data processing workflow for cryo-ET has been developed to reconstruct three-dimensional density maps and further build atomic models from a tilt series of two-dimensional projections. Low signal-to-noise ratio (SNR) and missing wedge are two major factors that make the reconstruction procedure challenging. Because only few near-atomic resolution structures have been reconstructed in cryo-ET, there is still much room to design new approaches to improve universal reconstruction resolutions. This review summarizes classical mathematical models and deep learning methods among general reconstruction steps. Moreover, we also discuss current limitations and prospects. This review can provide software and methods for each step of the entire procedure from tilt series by cryo-ET to 3D atomic structures. In addition, it can also help more experts in various fields comprehend a recent research trend in cryo-ET. Furthermore, we hope that more researchers can collaborate in developing computational methods and mathematical models for high-resolution three-dimensional structures from cryo-ET datasets.
【 授权许可】
Unknown
Copyright © 2023 Zhao, Lu, Zhao, Ren, Zhang, Zhai, Gou, Zhu, Zhang and Gong
【 预 览 】
Files | Size | Format | View |
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RO202311144154222ZK.pdf | 3639KB | download |