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A systematic screen for protein–lipid interactions in Saccharomyces cerevisiae

Authors: Gallego, Oriol; Betts, Matthew J.; Gvozdenovic-Jeremic, Jelena; Maeda, Kenji; Matetzki, Christian; Aguilar-Gurrieri, Carmen; Beltran-Alvarez, Pedro; +11 Authors

A systematic screen for protein–lipid interactions in Saccharomyces cerevisiae

Abstract

Protein–metabolite networks are central to biological systems, but are incompletely understood. Here, we report a screen to catalog protein–lipid interactions in yeast. We used arrays of 56 metabolites to measure lipid‐binding fingerprints of 172 proteins, including 91 with predicted lipid‐binding domains. We identified 530 protein–lipid associations, the majority of which are novel. To show the data set's biological value, we studied further several novel interactions with sphingolipids, a class of conserved bioactive lipids with an elusive mode of action. Integration of live‐cell imaging suggests new cellular targets for these molecules, including several with pleckstrin homology (PH) domains. Validated interactions with Slm1, a regulator of actin polarization, show that PH domains can have unexpected lipid‐binding specificities and can act as coincidence sensors for both phosphatidylinositol phosphates and phosphorylated sphingolipids.

Countries
United Kingdom, Spain, Switzerland
Keywords

570, Medicine (General), Saccharomyces cerevisiae Proteins, QH301-705.5, Protein Array Analysis, interactome, Saccharomyces cerevisiae, Validation Studies as Topic, Fatty Acid-Binding Proteins, Models, Biological, Article, R5-920, Protein Interaction Domains and Motifs, Biology (General), Lipid-Linked Proteins, sphingolipids, pleckstrin homology domains, 500, Lipid Metabolism, Lipids, High-Throughput Screening Assays, lipid‐array, network, Metabolome, Algorithms, Protein Binding

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
153
Top 10%
Top 10%
Top 1%
46
80
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gold