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

Li, Y., Kuhn, M., Zukowska-Kasprzyk, J., Hennrich, M. L., Kastritis, P. L., O’Reilly, F. J., et al. (2021). Coupling proteomics and metabolomics for the unsupervised identification of protein–metabolite interactions in Chaetomium thermophilum. PLoS One, 16(7): e0254429. doi:10.1371/journal.pone.0254429.

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 Creators:
Li, Yuanyue1, Author
Kuhn, Michael1, Author
Zukowska-Kasprzyk, Joanna1, Author
Hennrich, Marco L.1, Author
Kastritis, Panagiotis L.1, Author
O’Reilly, Francis J.1, Author
Phapale, Prasad1, Author
Beck, Martin2, Author                 
Gavin, Anne-Claude1, Author
Bork, Peer1, Author
Affiliations:
1External Organizations, ou_persistent22              
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              

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Free keywords: Adenine, Body weight, Metabolites, Proteasomes, Protein interactions, Protein metabolism, Proteomics, Ribosomes
 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.

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Language(s): eng - English
 Dates: 2021-01-072021-06-262021-07-09
 Publication Status: Published online
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pone.0254429
BibTex Citekey: li_coupling_2021
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 16 (7) Sequence Number: e0254429 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850