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

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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/96a7478f6dc84ecaaf836e81e344870f
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id	oai:doaj.org-article:96a7478f6dc84ecaaf836e81e344870f
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spelling	oai:doaj.org-article:96a7478f6dc84ecaaf836e81e344870f2021-12-02T20:15:29ZCoupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.1932-620310.1371/journal.pone.0254429https://doaj.org/article/96a7478f6dc84ecaaf836e81e344870f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254429https://doaj.org/toc/1932-6203Protein-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.Yuanyue LiMichael KuhnJoanna Zukowska-KasprzykMarco L HennrichPanagiotis L KastritisFrancis J O'ReillyPrasad PhapaleMartin BeckAnne-Claude GavinPeer BorkPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254429 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
description	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.
format	article
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
author_facet	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
author_sort	Yuanyue Li
title	Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
title_short	Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
title_full	Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
title_fullStr	Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
title_full_unstemmed	Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.
title_sort	coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in chaetomium thermophilum.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/96a7478f6dc84ecaaf836e81e344870f
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Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.

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