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A High-Density Human Mitochondrial Proximity Interaction Network

81 Pages Posted: 10 Nov 2020 Publication Status: Published

See all articles by Hana Antonicka

Hana Antonicka

McGill University - Department of Human Genetics; McGill University - Montreal Neurological Institute and Hospital

Zhen-Yuan Lin

University of Toronto - Lunenfeld-Tanenbaum Research Institute

Alexandre Janer

McGill University - Department of Human Genetics; McGill University - Montreal Neurological Institute and Hospital

Woranontee Weraarpachai

McGill University - Montreal Neurological Institute and Hospital

Anne-Claude Gingras

University of Toronto - Lunenfeld-Tanenbaum Research Institute; University of Toronto - Department of Molecular Genetics

Eric A. Shoubridge

McGill University - Montreal Neurological Institute and Hospital

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Abstract

We used BioID, a proximity-dependent biotinylation assay, to interrogate 100 mitochondrial baits from all mitochondrial sub-compartments to create a high resolution human mitochondrial proximity interaction network. We identified 1465 proteins, producing 15626 unique high confidence proximity interactions. Of these, 528 proteins were previously annotated as mitochondrial, nearly half of the mitochondrial proteome defined by Mitocarta 2.0. Bait-bait analysis showed a clear separation of mitochondrial compartments, and correlation analysis among preys across all baits allowed us to identify functional clusters involved in diverse mitochondrial functions, and to assign uncharacterized proteins to specific modules. We demonstrate that this analysis can assign isoforms of the same mitochondrial protein to different mitochondrial sub-compartments, and show that some proteins may have multiple cellular locations. Outer membrane baits showed specific proximity interactions with cytosolic proteins and proteins in other organellar membranes, suggesting specialization of proteins responsible for contact site formation between mitochondria and individual organelles. This proximity network will be a valuable resource for exploring the biology of uncharacterized mitochondrial proteins, the interactions of mitochondria with other cellular organelles, and will provide a framework to interpret alterations in sub-mitochondrial environments associated with mitochondrial disease.

Keywords: mitochondrial protein proximity map, BioID proximity-interactions, sub-mitochondrial organization, functional modules, organellar contact sites

Suggested Citation

Antonicka, Hana and Lin, Zhen-Yuan and Janer, Alexandre and Weraarpachai, Woranontee and Gingras, Anne-Claude and Shoubridge, Eric A., A High-Density Human Mitochondrial Proximity Interaction Network. Available at SSRN: https://ssrn.com/abstract=3583659 or http://dx.doi.org/10.2139/ssrn.3583659
This version of the paper has not been formally peer reviewed.

Hana Antonicka

McGill University - Department of Human Genetics ( email )

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, Quebec H3A 2B4
Canada

Zhen-Yuan Lin

University of Toronto - Lunenfeld-Tanenbaum Research Institute ( email )

600 University Ave
Toronto, Ontario
Canada

Alexandre Janer

McGill University - Department of Human Genetics ( email )

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, Quebec H3A 2B4
Canada

Woranontee Weraarpachai

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, Quebec H3A 2B4
Canada

Anne-Claude Gingras

University of Toronto - Lunenfeld-Tanenbaum Research Institute

600 University Ave
Toronto, Ontario
Canada

University of Toronto - Department of Molecular Genetics

Toronto, Ontario
Canada

Eric A. Shoubridge (Contact Author)

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, Quebec H3A 2B4
Canada

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