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Untargeted metabolomics unravels functionalities of phosphorylation sites in Saccharomyces cerevisiae

Overview of attention for article published in BMC Systems Biology, November 2016
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Title
Untargeted metabolomics unravels functionalities of phosphorylation sites in Saccharomyces cerevisiae
Published in
BMC Systems Biology, November 2016
DOI 10.1186/s12918-016-0350-8
Pubmed ID
Authors

Zrinka Raguz Nakic, Gerhard Seisenbacher, Francesc Posas, Uwe Sauer

Abstract

Coordinated through a complex network of kinases and phosphatases, protein phosphorylation regulates essentially all cellular processes in eukaryotes. Recent advances in proteomics enable detection of thousands of phosphorylation sites (phosphosites) in single experiments. However, functionality of the vast majority of these sites remains unclear and we lack suitable approaches to evaluate functional relevance at a pace that matches their detection. Here, we assess functionality of 26 phosphosites by introducing phosphodeletion and phosphomimic mutations in 25 metabolic enzymes and regulators from the TOR and HOG signaling pathway in Saccharomyces cerevisiae by phenotypic analysis and untargeted metabolomics. We show that metabolomics largely outperforms growth analysis and recovers 10 out of the 13 previously characterized phosphosites and suggests functionality for several novel sites, including S79 on the TOR regulatory protein Tip41. We analyze metabolic profiles to identify consequences underlying regulatory phosphorylation events and detecting glycerol metabolism to have a so far unknown influence on arginine metabolism via phosphoregulation of the glycerol dehydrogenases. Further, we also find S508 in the MAPKK Pbs2 as a potential link for cross-talking between HOG signaling and the cell wall integrity pathway. We demonstrate that metabolic profiles can be exploited for gaining insight into regulatory consequences and biological roles of phosphosites. Altogether, untargeted metabolomics is a fast, sensitive and informative approach appropriate for future large-scale functional analyses of phosphosites.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 2%
Belgium 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 37%
Researcher 12 19%
Student > Master 11 17%
Other 2 3%
Student > Postgraduate 2 3%
Other 6 10%
Unknown 7 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 33%
Agricultural and Biological Sciences 21 33%
Engineering 4 6%
Computer Science 2 3%
Earth and Planetary Sciences 2 3%
Other 6 10%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2016.
All research outputs
#18,482,034
of 22,901,818 outputs
Outputs from BMC Systems Biology
#835
of 1,143 outputs
Outputs of similar age
#232,255
of 306,450 outputs
Outputs of similar age from BMC Systems Biology
#13
of 16 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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