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. 2023 Jan 25;614(7946):153–159. doi: 10.1038/s41586-022-05641-w

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 1 — Scheme illustrating major materials, tools and intermediates used to generate the MitCOM dataset and to identify protein complexes together with their subunit composition (for details see Methods). Novel or significantly improved tools or procedures are highlighted in red. Quality and usability of MitCOM benefitted particularly from the high-resolution sampling of the blue native gel, the advanced processing of MS-data for determination of accurate protein abundance–mass profiles and the new viewer toolbox including multi-Gaussian component fitting and correlation analysis. Note that the final assignment of protein profile peaks to a distinct complex requires biochemical verification by affinity purification and functional analysis. We used elements of Figs. 1a, 5h, Extended Data Figs. 3b, 5 and an adapted image of Thermo Scientific™ Q Exactive™ HF-X hybrid quadrupole-Orbitrap™ MS for illustration (permission by copyright owner: Thermo Fisher Scientific Inc., Waltham, MA, USA).