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Diacylglycerol kinases (DGKs) are integral components of signal transduction cascades that regulate cell biology through ATP-dependent phosphorylation of the lipid messenger diacylglycerol. Methods for direct evaluation of DGK activity in native biological systems are lacking and needed to study isoform-specific functions of these multidomain lipid kinases. Here, we utilize ATP acyl phosphate activity-based probes and quantitative mass spectrometry to define, for the first time, ATP and small-molecule binding motifs of representative members from all five DGK subtypes. We use chemical proteomics to discover an unusual binding mode for the DGKα inhibitor, ritanserin, including interactions at the atypical C1 domain distinct from the ATP binding region. Unexpectedly, deconstruction of ritanserin yielded a fragment compound that blocks DGKα activity through a conserved binding mode and enhanced selectivity against the kinome. Collectively, our studies illustrate the power of chemical proteomics to profile protein-small molecule interactions of lipid kinases for fragment-based lead discovery.
Diacylglycerol Kinase, Binding Sites, Proteome, Ligands, Recombinant Proteins, Adenosine Triphosphate, HEK293 Cells, Tandem Mass Spectrometry, Isotope Labeling, Ritanserin, Humans, Protein Isoforms, Ketanserin, Peptides, Chromatography, High Pressure Liquid, Protein Binding
Diacylglycerol Kinase, Binding Sites, Proteome, Ligands, Recombinant Proteins, Adenosine Triphosphate, HEK293 Cells, Tandem Mass Spectrometry, Isotope Labeling, Ritanserin, Humans, Protein Isoforms, Ketanserin, Peptides, Chromatography, High Pressure Liquid, Protein Binding
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). | 49 | |
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. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |