ArticleAnalytical chemistry2017
Multiplex Substrate Profiling by Mass Spectrometry for Kinases as a Method for Revealing Quantitative Substrate Motifs.
Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- A hierarchical dual-lock mechanism empowered epifluidic patch for rapid glucose feedback in exercise-induced sweating.Mikrochimica acta · 2026Article
- Conserved specificity of extracellular wastewater peptidases revealed by multiplex substrate profiling by mass spectrometry.Environmental chemistry letters · 2025Article
- Phosphoproteomic Approaches for Identifying Phosphatase and Kinase Substrates.Molecules (Basel, Switzerland) · 2023Review
- Review
- Multiplex substrate profiling by mass spectrometry for proteases.Methods in enzymology · 2023Article
- Accurate Models of Substrate Preferences of Post-Translational Modification Enzymes from a Combination of mRNA Display and Deep Learning.ACS central science · 2022Article
- Illuminating the kinome: Visualizing real-time kinase activity in biological systems using genetically encoded fluorescent protein-based biosensors.Current opinion in chemical biology · 2020Review
- Recent Advances in Protein Kinase Activity Analysis Based on Nanomaterials.International journal of molecular sciences · 2019Review
- High-throughput Identification of FLT3 Wild-type and Mutant Kinase Substrate Preferences and Application to Design of SensitiveMolecular & cellular proteomics : MCP · 2019Article
- Structural insights into the functional diversity of the CDK-cyclin family.Open biology · 2018Review
- Simultaneous multiple single nucleotide polymorphism detection based on click chemistry combined with DNA-encoded probes.Chemical science · 2018Article
- Global substrate specificity profiling of post-translational modifying enzymes.Protein science : a publication of the Protein Society · 2018Review
- In vitro methods for testing antiviral drugs.Biotechnology advancesReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
The more than 500 protein kinases comprising the human kinome catalyze hundreds of thousands of phosphorylation events to regulate a diversity of cellular functions; however, the extended substrate specificity is still unknown for many of these kinases. We report here a method for quantitatively describing kinase substrate specificity using an unbiased peptide library-based approach with direct measurement of phosphorylation by tandem liquid chromatography-tandem mass spectrometry (LC-MS/MS) peptide sequencing (multiplex substrate profiling by mass spectrometry, MSP-MS). This method can be deployed with as low as 10 nM enzyme to determine activity against S/T/Y-containing peptides; additionally, label-free quantitation is used to ascertain catalytic efficiency values for individual peptide substrates in the multiplex assay. Using this approach we developed quantitative motifs for a selection of kinases from each branch of the kinome, with and without known substrates, highlighting the applicability of the method. The sensitivity of this approach is evidenced by its ability to detect phosphorylation events from nanogram quantities of immunoprecipitated material, which allows for wider applicability of this method. To increase the information content of the quantitative kinase motifs, a sublibrary approach was used to expand the testable sequence space within a peptide library of approximately 100 members for CDK1, CDK7, and CDK9. Kinetic analysis of the HIV-1 Tat (transactivator of transcription)-positive transcription elongation factor b (P-TEFb) interaction allowed for localization of the P-TEFb phosphorylation site as well as characterization of the stimulatory effect of Tat on P-TEFb catalytic efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.