Duplexing complexome profiling with SILAC to study human respiratory chain assembly defects

Complexome Profiling (CP) combines size separation, by electrophoresis or other means, of native multimeric complexes with protein identification by mass spectrometry (MS). Peptide MS analysis of the multiple fractions in which the sample is separated, results in the creation of protein abundance profiles in function of molecular size, providing a visual output of the assembly status of a group of proteins of interest. Stable isotope labeling by amino acids in cell culture (SILAC) is an established quantitative proteomics technique that allows duplexing in the MS analysis as well as the comparison of relative protein abundances between the samples, which are processed and analyzed together. Combining SILAC and CP permitted the direct comparison of migration and abundance of the proteins present in the mitochondrial respiratory chain complexes in two different samples. This analysis, however, introduced a level of complexity in data processing for which bioinformatic tools had to be developed in order to generate the normalized protein abundance profiles. The advantages and challenges of using of this type of analysis for the characterization of two cell lines carrying pathological variants in MT-CO3 and MT-CYB is reviewed. An additional unpublished example of SILAC-CP of a cell line with an in-frame 18-bp deletion in MT-CYB is presented. In these cells, in contrast to other MT-CYB deficient models, a small proportion of complex III2 is formed and it is found associated with fully assembled complex I. This analysis also revealed a profuse accumulation of assembly intermediates containing complex III subunits UQCR10 and CYC1, as well as a profound early-stage complex IV assembly defect. •Complexome Profiling (CP) allows the comprehensive study of protein complexes.•Metabolic labelling using SILAC allows duplexing in the CP analysis.•Duplexing significantly decreases the chance of introducing separation artefacts.•SILAC allows to directly compare complex migration and abundance in two samples.•SILAC-CP in pathological vs control cell lines has proven to be highly informative.