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Tayebinia, M.

Publications and source records attributed to Tayebinia, M..

2 recordsLinked to original sources

Architecture of the type II secretion system

The virulence of emerging Gram-negative pathogens frequently arises from toxins delivered by the type II secretion system1. Cryo-EM single particle analysis and cryo-electron tomography and have defined the outer membrane secretin pore in detail, but the organisation of proteins within the periplasm and inner membrane that form the pilus assembly platform is not well resolved2,3. Here we combine AlphaFold4 models with single particle cryo-EM to define the organisation of the pilus assembly platform. We show that CLM heterotrimers form a continuous link from the cytoplasmic ATPase, across the inner membrane and periplasm, to the base of the secretin channel. AlphaFold models of the inner membrane spanning rotor and cytoplasmic ATPase fit readily within the cryo-EM density. The resolved secretion system exhibits an offset between the inner membrane assembly platform and the outer membrane secretin pore, together with profound asymmetry and an unexpectedly open periplasmic architecture. This architecture provides a route by which large, folded proteins access the secretion channel from the periplasm and suggests that substrate engagement may trigger the final steps in secretion system assembly leading to secretion.

microbiology↗

Chart Builder: An Interactive Tool for User Driven Data Visualization in the Electron Microscopy Data Bank

The cryogenic sample-electron microscopy (cryoEM) field has generated significant amounts of 3D Electron Microscopy (3DEM) volumetric data and associated metadata, now comprehensively archived in the Electron Microscopy Data Bank (EMDB - www.emdatabank.org) and the Electron Microscopy Public Image Archive (EMPIAR - www.empiar.org). Harnessing the full potential of these resources requires robust, flexible, and publicly accessible tools for data exploration, analysis and retrieval. Here, we present Chart Builder, an interactive web-based platform that enables researchers to create customizable, publication-quality visualizations directly from archival metadata, validation assessments, and cross-reference annotations. Chart Builder integrates the same query-driven and flexible Solr search system as EMDB search, into a user interface with tools to assist users to filter, group, and compare data without programming expertise. It supports multiple chart types (including line, bar, area, scatter (2D and 3D), histogram, bubble, pie, geographic and Venn diagrams) with customizable axes, data series, and statistical operators. Users can apply global filters, define temporal, categorical, or custom query-based axes, and explore multi-dimensional relationships interactively. Chart data-points are linked to their underlying datasets, such that visualisation interaction opens entry-level or archive-level search results for inspection and datasets from charts may be exported in several ways. Findability, accessibility, interoperability and reusability of data are facilitated by these direct access and export mechanisms, including HTML embedding, persistent URL sharing and chart/data download options. By combining interactivity and ease of use with up-to-date access to the EMDB and EMPIAR archive metadata, both computational and experimental communities may explore and visualize current metadata and export to formats for further analysis or as publication-ready figures. Chart Builder promotes community-driven data analysis and empowers users to evaluate trends in the biological 3DEM field. Chart Builder is freely accessible and fully integrated into the EMDB website at https://www.ebi.ac.uk/emdb/statistics/builder/.

biophysics↗