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Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum

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Item Type:Article
Title:Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum
Creators Name:Li, Y., Kuhn, M., Zukowska-Kasprzyk, J., Hennrich, M.L., Kastritis, P.L., O'Reilly, F.J., Phapale, P., Beck, M., Gavin, A.C. and Bork, P.
Abstract: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.
Keywords:Protein Metabolism, Protein Interactions, Metabolites, Body weight, Adenine, Ribosomes, Proteasomes, Proteomics
Source:PLoS ONE
ISSN:1932-6203
Publisher:Public Library of Science
Volume:16
Number:7
Page Range:e0254429
Date:9 July 2021
Official Publication:https://doi.org/10.1371/journal.pone.0254429
PubMed:View item in PubMed

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