Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
| Autor: | Li Y; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Kuhn M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Zukowska-Kasprzyk J; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Hennrich ML; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Kastritis PL; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., O'Reilly FJ; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Phapale P; Metabolomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany., Beck M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Gavin AC; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany., Bork P; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.; Molecular Medicine Partnership Unit (MMPU), Heidelberg, Germany.; Max Delbrück Center for Molecular Medicine, Berlin, Germany.; Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany. |
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| Jazyk: | angličtina |
| Zdroj: | PloS one [PLoS One] 2021 Jul 09; Vol. 16 (7), pp. e0254429. Date of Electronic Publication: 2021 Jul 09 (Print Publication: 2021). |
| DOI: | 10.1371/journal.pone.0254429 |
| Abstrakt: | Protein-metabolite interactions play an important role in the cell's metabolism and many methods have been developed to screen them in vitro. However, few methods can be applied at a large scale and not alter biological state. Here we describe a proteometabolomic approach, using chromatography to generate cell fractions which are then analyzed with mass spectrometry for both protein and metabolite identification. Integrating the proteomic and metabolomic analyses makes it possible to identify protein-bound metabolites. Applying the concept to the thermophilic fungus Chaetomium thermophilum, we predict 461 likely protein-metabolite interactions, most of them novel. As a proof of principle, we experimentally validate a predicted interaction between the ribosome and isopentenyl adenine. Competing Interests: The authors have declared that no competing interests exist. |
| Databáze: | MEDLINE |
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