加拿大麦吉尔大学Eric A. Shoubridge、多伦多大学Anne-Claude Gingras等研究人员合作绘制出人类线粒体邻近相互作用的高密度网络。相关论文于2020年9月1日发表在《细胞—代谢》杂志上。

Title: A High-Density Human Mitochondrial Proximity Interaction Network

Author: Hana Antonicka, Zhen-Yuan Lin, Alexandre Janer, Mari J. Aaltonen, Woranontee Weraarpachai, Anne-Claude Gingras, Eric A. Shoubridge

Issue&Volume: 2020/09/01

Abstract: We used BioID, a proximity-dependent biotinylation assay with 100 mitochondrial baitsfrom all mitochondrial sub-compartments, to create a high-resolution human mitochondrialproximity interaction network. We identified 1,465 proteins, producing 15,626 uniquehigh-confidence proximity interactions. Of these, 528 proteins were previously annotatedas mitochondrial, nearly half of the mitochondrial proteome defined by Mitocarta 2.0.Bait-bait analysis showed a clear separation of mitochondrial compartments, and correlationanalysis among preys across all baits allowed us to identify functional clusters involvedin diverse mitochondrial functions and to assign uncharacterized proteins to specificmodules. We demonstrate that this analysis can assign isoforms of the same mitochondrialprotein to different mitochondrial sub-compartments and show that some proteins mayhave multiple cellular locations. Outer membrane baits showed specific proximity interactionswith cytosolic proteins and proteins in other organellar membranes, suggesting specializationof proteins responsible for contact site formation between mitochondria and individualorganelles.

DOI: 10.1016/j.cmet.2020.07.017

Source: https://www.cell.com/cell-metabolism/fulltext/S1550-4131(20)30412-5