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核心技术专利:CN118964589B侵权必究
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在 RELION-5 中用于电子冷冻断层成像的图像处理流水线。

An image processing pipeline for electron cryo-tomography in RELION-5.

机构信息

MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.

Department of Structural Biology, Genentech, South San Francisco, CA, USA.

出版信息

FEBS Open Bio. 2024 Nov;14(11):1788-1804. doi: 10.1002/2211-5463.13873. Epub 2024 Aug 15.


DOI:10.1002/2211-5463.13873
PMID:39147729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11532982/
Abstract

Electron tomography of frozen, hydrated samples allows structure determination of macromolecular complexes that are embedded in complex environments. Provided that the target complexes may be localised in noisy, three-dimensional tomographic reconstructions, averaging images of multiple instances of these molecules can lead to structures with sufficient resolution for de novo atomic modelling. Although many research groups have contributed image processing tools for these tasks, a lack of standardisation and interoperability represents a barrier for newcomers to the field. Here, we present an image processing pipeline for electron tomography data in RELION-5, with functionality ranging from the import of unprocessed movies to the automated building of atomic models in the final maps. Our explicit definition of metadata items that describe the steps of our pipeline has been designed for interoperability with other software tools and provides a framework for further standardisation.

摘要

冷冻、水合样品的电子断层扫描允许确定嵌入复杂环境中的大分子复合物的结构。只要目标复合物可以定位于嘈杂的三维断层重建中,对这些分子的多个实例的图像进行平均处理可以得到足够分辨率的结构,以便进行从头原子建模。尽管许多研究小组已经为这些任务贡献了图像处理工具,但缺乏标准化和互操作性对于该领域的新手来说是一个障碍。在这里,我们在 RELION-5 中展示了一个用于电子断层扫描数据的图像处理管道,其功能范围从未处理的电影导入到最终映射中自动构建原子模型。我们对描述管道步骤的元数据项的明确定义旨在与其他软件工具进行互操作,并为进一步的标准化提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/7276485345fa/FEB4-14-1788-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/77a0649e57df/FEB4-14-1788-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/60b11ccac1c4/FEB4-14-1788-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/310e027de3bc/FEB4-14-1788-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/92d1cf0b75f2/FEB4-14-1788-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/9fff5896c41b/FEB4-14-1788-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/7276485345fa/FEB4-14-1788-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/77a0649e57df/FEB4-14-1788-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/60b11ccac1c4/FEB4-14-1788-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/310e027de3bc/FEB4-14-1788-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/92d1cf0b75f2/FEB4-14-1788-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/9fff5896c41b/FEB4-14-1788-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e838/11532982/7276485345fa/FEB4-14-1788-g001.jpg

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本文引用的文献

[1]
Blik is an extensible 3D visualisation tool for the annotation and analysis of cryo-electron tomography data.

PLoS Biol. 2024-4

[2]
STOPGAP: an open-source package for template matching, subtomogram alignment and classification.

Acta Crystallogr D Struct Biol. 2024-5-1

[3]
Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.

Nat Methods. 2024-8

[4]
Automated model building and protein identification in cryo-EM maps.

Nature. 2024-4

[5]
ColabSeg: An interactive tool for editing, processing, and visualizing membrane segmentations from cryo-ET data.

J Struct Biol. 2024-6

[6]
A web-based dashboard for RELION metadata visualization.

Acta Crystallogr D Struct Biol. 2024-2-1

[7]
nextPYP: a comprehensive and scalable platform for characterizing protein variability in situ using single-particle cryo-electron tomography.

Nat Methods. 2023-12

[8]
Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR.

Nat Commun. 2023-10-17

[9]
Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising.

Ultramicroscopy. 2024-1

[10]
Extensive Angular Sampling Enables the Sensitive Localization of Macromolecules in Electron Tomograms.

Int J Mol Sci. 2023-8-29

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