Coupling proteomics and metabolomics for the unsupervised identification of protein–metabolite interactions in Chaetomium thermophilum
Please always quote using this URN: urn:nbn:de:bvb:20-opus-364299
- 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 toProtein–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.…
Author: | Yuanyue Li, Michael Kuhn, Joanna Zukowska-Kasprzyk, Marco L. Hennrich, Panagiotis L. Kastritis, Francis J. O'Reilly, Prasad Phapale, Martin Beck, Anne-Claude Gavin, Peer Bork |
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URN: | urn:nbn:de:bvb:20-opus-364299 |
Document Type: | Journal article |
Faculties: | Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften |
Language: | English |
Parent Title (English): | PLOS ONE |
Year of Completion: | 2021 |
Volume: | 16 |
Article Number: | e0254429 |
Source: | PLOS ONE (2021) 16:e0254429. https://doi.org/10.1371/journal.pone.0254429 |
DOI: | https://doi.org/10.1371/journal.pone.0254429 |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
Release Date: | 2024/09/11 |
EU-Project number / Contract (GA) number: | 669830 |
OpenAIRE: | OpenAIRE |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |