Assembly principles of a unique cage formed by hexameric and decameric E. coli proteins
- CNRS, European Molecular Biology Laboratory, France
- University of Toronto, Canada
- CNRS, Université Grenoble Alpes, France
- CEA, CNRS, Université Grenoble Alpes, France
Abstract
A 3.3 MDa macromolecular cage between two E. coli proteins with seemingly incompatible symmetries - the hexameric AAA+ ATPase RavA and the decameric inducible lysine decarboxylase LdcI - is reconstructed by cryo-electron microscopy to 11 Å resolution. Combined with a 7.5 Å resolution reconstruction of the minimal complex between LdcI and the LdcI-binding domain of RavA, and the previously solved crystal structures of the individual components, this work enables to build a reliable pseudoatomic model of this unusual architecture and to identify conformational rearrangements and specific elements essential for complex formation. The design of the cage created via lateral interactions between five RavA rings is unique for the diverse AAA+ ATPase superfamily.
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© 2014, Malet et al.
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Assembly principles of a unique cage formed by hexameric and decameric E. coli proteins
eLife 3:e03653.
https://doi.org/10.7554/eLife.03653
Further reading
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- Cell Biology
- Physics of Living Systems
Cell mechanical properties determine many physiological functions, such as cell fate specification, migration, or circulation through vasculature. Identifying factors that govern the mechanical properties is therefore a subject of great interest. Here, we present a mechanomics approach for establishing links between single-cell mechanical phenotype changes and the genes involved in driving them. We combine mechanical characterization of cells across a variety of mouse and human systems with machine learning-based discriminative network analysis of associated transcriptomic profiles to infer a conserved network module of five genes with putative roles in cell mechanics regulation. We validate in silico that the identified gene markers are universal, trustworthy, and specific to the mechanical phenotype across the studied mouse and human systems, and demonstrate experimentally that a selected target, CAV1, changes the mechanical phenotype of cells accordingly when silenced or overexpressed. Our data-driven approach paves the way toward engineering cell mechanical properties on demand to explore their impact on physiological and pathological cell functions.
