Cryo-EM and artificial intelligence visualize endogenous protein community members
Open accessAbstract
Cellular function is underlined by megadalton assemblies organizing in proximity, forming communities. Metabolons are protein communities involving metabolic pathways such as protein, fatty acid, and thioesters of coenzyme-A synthesis. Metabolons are highly heterogeneous due to their function, making their analysis particularly challenging. Here, we simultaneously characterize metabolon-embedded architectures of a 60S pre-ribosome, fatty acid synthase, and pyruvate/oxoglutarate dehydrogenase complex E2 cores de novo. Cryo-electron microscopy (cryo-EM) 3D reconstructions are resolved at 3.84-4.52 Å resolution by collecting <3,000 micrographs of a single cellular fraction. After combining cryo-EM with artificial intelligence-based atomic modeling and de novo sequence identification methods, at this resolution range, polypeptide hydrogen bonding patterns are discernible. Residing molecular components resemble their purified counterparts from other eukaryotes but also exhibit substantial conformational variation with potential functional implications. Our results propose an integrated tool, boosted by machine learning, that opens doors for structural systems biology spearheaded by cryo-EM characterization of native cell extracts.
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Previous studies have shown that crude or partially extracted intracellular mixtures can yield high-resolution SPA reconstructions.
“Previous studies have shown that crude or partially extracted intracellular mixtures can yield high-resolution SPA reconstructions78–80, highlighting that such fractions can serve as important resources for structural discovery.”
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- Authors
- Skalidis, I., Kyrilis, F. L., Tüting, C., Hamdi, F., Chojnowski, G., & Kastritis, P. L.
- Affiliations
- Martin Luther University Halle-Wittenberg (DE)
- European Molecular Biology Laboratory (DE)
- Corresponding author
- Kastritis, Panagiotis L.
- ORCID
- Venue
- Structure
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 30
- Issue
- 4
- Pages
- 575-589.e6
- ISSN
- 0969-2126 (ISSN-L)
- OpenAlex
- W4210742541
- Cited by
- 61
- References
- 7
- Citations by year
- 2026: 15 · 2025: 10 · 2024: 12 · 2023: 14 · 2022: 10
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Structure (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt) (cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- metabolon, fatty acid synthase, coenzyme A synthesis, conformational heterogeneity
- MeSH terms
- Artificial Intelligence, Proteins, Ribosomes, Cryoelectron Microscopy
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