Ontology type: schema:ScholarlyArticle Open Access: True
2021-02-10
AUTHORSMarcin Luzarowski, Rubén Vicente, Andrei Kiselev, Mateusz Wagner, Dennis Schlossarek, Alexander Erban, Leonardo Perez de Souza, Dorothee Childs, Izabela Wojciechowska, Urszula Luzarowska, Michał Górka, Ewelina M. Sokołowska, Monika Kosmacz, Juan C. Moreno, Aleksandra Brzezińska, Bhavana Vegesna, Joachim Kopka, Alisdair R. Fernie, Lothar Willmitzer, Jennifer C. Ewald, Aleksandra Skirycz
ABSTRACTProtein–metabolite interactions are of crucial importance for all cellular processes but remain understudied. Here, we applied a biochemical approach named PROMIS, to address the complexity of the protein–small molecule interactome in the model yeast Saccharomyces cerevisiae. By doing so, we provide a unique dataset, which can be queried for interactions between 74 small molecules and 3982 proteins using a user-friendly interface available at https://promis.mpimp-golm.mpg.de/yeastpmi/. By interpolating PROMIS with the list of predicted protein–metabolite interactions, we provided experimental validation for 225 binding events. Remarkably, of the 74 small molecules co-eluting with proteins, 36 were proteogenic dipeptides. Targeted analysis of a representative dipeptide, Ser-Leu, revealed numerous protein interactors comprising chaperones, proteasomal subunits, and metabolic enzymes. We could further demonstrate that Ser-Leu binding increases activity of a glycolytic enzyme phosphoglycerate kinase (Pgk1). Consistent with the binding analysis, Ser-Leu supplementation leads to the acute metabolic changes and delays timing of a diauxic shift. Supported by the dipeptide accumulation analysis our work attests to the role of Ser-Leu as a metabolic regulator at the interface of protein degradation and central metabolism. More... »
PAGES181
http://scigraph.springernature.com/pub.10.1038/s42003-021-01684-3
DOIhttp://dx.doi.org/10.1038/s42003-021-01684-3
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"https://app.dimensions.ai/details/publication/pub.1135295251"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:38",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_880.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/s42003-021-01684-3"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s42003-021-01684-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s42003-021-01684-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42003-021-01684-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42003-021-01684-3'
This table displays all metadata directly associated to this object as RDF triples.
387 TRIPLES
22 PREDICATES
114 URIs
93 LITERALS
18 BLANK NODES