ArticleNature protocols2023
Co-fractionation-mass spectrometry to characterize native mitochondrial protein assemblies in mammalian neurons and brain.
Article in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Global mitochondrial connectivity map reveals the landscape of yeast functional assemblies and conserved protein communities.Nature communications · 2026Article
- A Brief Progress in Methods for Deciphering Protein-Protein Interaction Networks.International journal of molecular sciences · 2026Review
- ProteoAutoNet: high-throughput co-eluted protein analysis with robotics and machine learning.Nature communications · 2026Article
- CHCHD2 mutant mice link mitochondrial deficits to PD pathophysiology.Science advances · 2025Article
- Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.Nature communications · 2025Article
- Article
- Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.Mass spectrometry reviewsReview
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Human mitochondrial (mt) protein assemblies are vital for neuronal and brain function, and their alteration contributes to many human disorders, e.g., neurodegenerative diseases resulting from abnormal protein-protein interactions (PPIs). Knowledge of the composition of mt protein complexes is, however, still limited. Affinity purification mass spectrometry (MS) and proximity-dependent biotinylation MS have defined protein partners of some mt proteins, but are too technically challenging and laborious to be practical for analyzing large numbers of samples at the proteome level, e.g., for the study of neuronal or brain-specific mt assemblies, as well as altered mtPPIs on a proteome-wide scale for a disease of interest in brain regions, disease tissues or neurons derived from patients. To address this challenge, we adapted a co-fractionation-MS platform to survey native mt assemblies in adult mouse brain and in human NTERA-2 embryonal carcinoma stem cells or differentiated neuronal-like cells. The workflow consists of orthogonal separations of mt extracts isolated from chemically cross-linked samples to stabilize PPIs, data-dependent acquisition MS to identify co-eluted mt protein profiles from collected fractions and a computational scoring pipeline to predict mtPPIs, followed by network partitioning to define complexes linked to mt functions as well as those essential for neuronal and brain physiological homeostasis. We developed an R/CRAN software package, Macromolecular Assemblies from Co-elution Profiles for automated scoring of co-fractionation-MS data to define complexes from mtPPI networks. Presently, the co-fractionation-MS procedure takes 1.5-3.5 d of proteomic sample preparation, 31 d of MS data acquisition and 8.5 d of data analyses to produce meaningful biological insights.
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Registered trials
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