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Despite their importance in maintaining the integrity of all cellular pathways, the role of mutations on protein-protein interaction (PPI) interfaces as cancer drivers has not been systematically studied. Here we analyzed the mutation patterns of the PPI interfaces from 10,028 proteins in a pan-cancer cohort of 5,989 tumors from 23 projects of The Cancer Genome Atlas (TCGA) to find interfaces enriched in somatic missense mutations. To that end we use e-Driver, an algorithm to analyze the mutation distribution of specific protein functional regions. We identified 103 PPI interfaces enriched in somatic cancer mutations. 32 of these interfaces are found in proteins coded by known cancer driver genes. The remaining 71 interfaces are found in proteins that have not been previously identified as cancer drivers even that, in most cases, there is an extensive literature suggesting they play an important role in cancer. Finally, we integrate these findings with clinical information to show how tumors apparently driven by the same gene have different behaviors, including patient outcomes, depending on which specific interfaces are mutated.

In eukaryotic cells, cotranslational protein translocation across the endoplasmic reticulum (ER) membrane requires an elaborate macromolecular machinery. While structural details of ribosomes bound to purified and solubilized constituents of the translocon have been elucidated in recent years, little structural knowledge of ribosomes bound to the complete ER protein translocation machinery in a native membrane environment exists. Here, we used cryoelectron tomography to provide a three-dimensional reconstruction of 80S ribosomes attached to functional canine pancreatic ER microsomes in situ. In the resulting subtomogram average at 31 Å resolution, we observe direct contact of ribosomal expansion segment ES27L and the membrane and distinguish several membrane-embedded and lumenal complexes, including Sec61, the TRAP complex and another large complex protruding 90 Å into the lumen. Membrane-associated ribosomes adopt a preferred three-dimensional arrangement that is likely specific for ER-associated polyribosomes and may explain the high translation efficiency of ER-associated ribosomes compared to their cytosolic counterparts.

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