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Abriata, L.

Publications and source records attributed to Abriata, L..

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The architecture of the endoplasmic reticulum is regulated by the reversible lipid modification of the shaping protein CLIMP-63

The endoplasmic reticulum (ER) has a complex morphology generated and maintained by membrane-shaping proteins and membrane energy minimization, though not much is known about how it is regulated. The architecture of this intracellular organelle is balanced between large, thin sheets that are densely packed in the perinuclear region and a connected network of branched, elongated tubules that extend throughout the cytoplasm. Sheet formation is known to involve the cytoskeleton-linking membrane protein 63 (CLIMP-63), though its regulation and the depth of its involvement remain unknown. Here we show that the post-translational modification of CLIMP-63 by the palmitoyltransferase ZDHHC6 controls the relative distribution of CLIMP-63 between the ER and the plasma membrane. By combining data-driven mathematical modeling, predictions, and experimental validation, we found that the attachment of a medium chain fatty acid, so-called S-palmitoylation, to the unique CLIMP-63 cytoplasmic cysteine residue drastically reduces its turnover rate, and thereby controls its abundance. Light microscopy and focused ion beam electron microcopy further revealed that enhanced CLIMP-63 palmitoylation leads to strong ER-sheet proliferation. Altogether, we show that ZDHHC6-mediated S-palmitoylation regulates the cellular localization of CLIMP-63, the morphology of the ER, and the interconversion of ER structural elements in mammalian cells through its action on the CLIMP-63 protein.\n\nSignificance StatementEukaryotic cells subcompartmentalize their various functions into organelles, the shape of each being specific and necessary for its proper role. However, how these shapes are generated and controlled is poorly understood. The endoplasmic reticulum is the largest membrane-bound intracellular compartment, accounting for more than 50% of all cellular membranes. We found that the shape and quantity of its sheet-like structures are controlled by a specific protein, cytoskeleton-linking membrane protein 63, through the acquisition of a lipid chain attached by an enzyme called ZDHHC6. Thus, by modifying the ZDHHC6 amounts, a cell can control the shape of its ER. The modeling and prediction technique used herein also provides a method for studying the interconnected function of other post-translational modifications in organelles.

cell biology

Structural Models And Considerations On The COA6, COX18 And COX20 Factors That Assist Assembly Of Human Cytochrome C Oxidase Subunit II

The soluble domain of cytochrome c oxidase subunit II (COX2), located in the outer side of the inner mitochondrial membrane, contains a binuclear copper site (CuA) through which electrons flow from cytochrome c to the core of the oxidase where oxygen reduction takes place. Being COX2 encoded in the mitochondrial genome, newly synthesized protein undergoes maturation steps in which it is translocated through and inserted into the inner mitochondrial membrane, and copper ions are loaded to form the CuA site. These steps are ensured by several protein factors in a complex pathway that is not fully understood, including copper-loading and disulfide-reduction proteins plus chaperones that assist proper membrane insertion. While the structure and function of copper-loading and disulfide-reducing proteins Sco1 and Sco2 have been quite studied at atomistic level, the latest biological studies have uncovered roles for other proteins that are not yet much understood at the structural level. In particular, recent experiments showed that membrane protein COX18 is a membrane-protein insertase for COX2, whereas membrane protein COX20 is a chaperone that stabilizes COX2 during translocation through the inner mitochondrial membrane, and soluble protein COA6 is part of the copper-loading pathway in conjunction with Sco1 and Sco2. This work reports structural models for COX18, COX20 and COA6, built judiciously from homology modeling, contact prediction-based modeling and transmembrane helix predictions, while considering the underlying biology. Implications and limitations of the models are discussed, and possible experimental routes to pursue are proposed. All models are provided as PyMOL sessions in the Supporting Information and can be visualized online at http://lucianoabriata.altervista.org/modelshome.html.

biochemistry