The Journal of Cell BiologyCell BiologyPeer-reviewed journal article
Cytoplasmic ribosomes on mitochondria alter the local membrane environment for protein import
Ya‐Ting ChangiD, Benjamin A. BaradiD, Juliette HamidiD, Hamidreza RahmaniiD, Brian M. ZidiD, Danielle Ann GrotjahniD
Abstract
Most of the mitochondria proteome is nuclear-encoded, synthesized by cytoplasmic ribosomes, and targeted to mitochondria post-translationally. However, a subset of mitochondrial-targeted proteins is imported co-translationally, although the molecular mechanisms governing this process remain unclear. We employ cellular cryo-electron tomography to visualize interactions between cytoplasmic ribosomes and mitochondria in Saccharomyces cerevisiae. We use surface morphometrics tools to identify a subset of ribosomes optimally oriented on mitochondrial membranes for protein import. This allows us to establish the first subtomogram average structure of a cytoplasmic ribosome on the surface of the mitochondria in the native cellular context, which showed three distinct connections with the outer mitochondrial membrane surrounding the peptide exit tunnel. Further, this analysis demonstrated that cytoplasmic ribosomes primed for mitochondrial protein import cluster on the outer mitochondrial membrane at sites of local constrictions of the outer and inner mitochondrial membrane. Overall, our study reveals the architecture and the spatial organization of cytoplasmic ribosomes at the mitochondrial surface, providing a native cellular context to define the mechanisms that mediate efficient mitochondrial co-translational protein import. SUMMARYChang et al. present a membrane-guided approach for identifying a subset of cytoplasmic ribosomes oriented for protein import on the mitochondrial surface in Saccharomyces cerevisiae using cryo-electron tomography. They show that ribosomes cluster, make multiple contacts with, and induce local changes to the mitochondrial membrane ultrastructure at import sites.
- organism: yeast
- assay: electronic health records
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: microscopy & imaging analysis
- Citations
- 27
- FWCI
- 6.47
- Field percentile
- top 2%
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