CryoVIA: An image analysis toolkit for the quantification of membrane structures from cryo-EM micrographs

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Philipp Schönnenbeck, Benedikt Junglas, Carsten Sachse
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引用次数: 0

Abstract

Imaging of lipid structures and associated protein complexes using cryoelectron microscopy (cryo-EM) is a common visualization and structure determination technique. The quantitative analysis of the membrane structures, however, is not routine and time consuming in particular when large amounts of data are involved. Here, we introduce the automated image-processing software cryo-vesicle image analyzer (CryoVIA) that parametrizes lipid structures of large datasets from cryo-EM images. This toolkit combines segmentation, structure identification with methods to automatically perform a large-scale data analysis of local and global membrane properties such as bilayer thickness, size, and curvature including membrane shape classifications. We included analyses of exemplary datasets of different lipid compositions and protein-induced lipid changes through an endosomal sorting complexes required for transport III (ESCRT-III) membrane remodeling protein. The toolkit opens new possibilities to systematically study structural properties of membrane structures and their modifications from cryo-EM images.

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来源期刊
Structure
Structure 生物-生化与分子生物学
CiteScore
8.90
自引率
1.80%
发文量
155
审稿时长
3-8 weeks
期刊介绍: Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome. In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.
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