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Comparison of bioluminescent kinase assays using substrate depletion and product formation.

ABSTRACT: Assays for ATPases have been enabled for high-throughput screening (HTS) by employing firefly luciferase to detect the remaining ATP in the assay. However, for any enzyme assay, measurement of product formation is a more sensitive assay design. Recently, technologies that allow detection of the ADP product from ATPase reactions have been described using fluorescent methods of detection. We describe here the characterization of a bioluminescent assay that employs firefly luciferase in a coupled-enzyme assay format to enable detection of ADP levels from ATPase assays (ADP-Glo, Promega Corp.). We determined the performance of the ADP-Glo assay in 1,536-well microtiter plates using the protein kinase Clk4 and a 1,352 member kinase focused combinatorial library. The ADP-Glo assay was compared to the Clk4 assay performed using a bioluminescence ATP-depletion format (Kinase-Glo, Promega Corp). We performed this analysis using quantitative HTS (qHTS) where we determined potency values for all library members and identified approximately 300 compounds with potencies ranging from as low as 50 nM to >10 microM, yielding a robust dataset for the comparison. Both assay formats showed high performance (Z'-factors approximately 0.9) and showed a similar potency distribution for the actives. We conclude that the bioluminescence ADP detection assay system is a viable generic alternative to the widely used ATP-depletion assay for ATPases and discuss the advantages and disadvantages of both approaches.

SUBMITTER: Tanega C

PROVIDER: S-EPMC3096547 | biostudies-other | 2009 Dec

REPOSITORIES: biostudies-other

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Project description:In response to stimuli, biological processes are tightly controlled by dynamic cellular signaling mechanisms. Reversible protein phosphorylation occurs on rapid time-scales (milliseconds to seconds), making it an ideal carrier of these signals. Advances in mass spectrometry-based proteomics have led to the identification of many tens of thousands of phosphorylation sites, yet for the majority of these the kinase is unknown and the underlying network topology of signaling networks therefore remains obscured. Identifying kinase substrate relationships (KSRs) is therefore an important goal in cell signaling research. Existing consensus sequence motif based prediction algorithms do not consider the biological context of KSRs, and are therefore insensitive to many other mechanisms guiding kinase-substrate recognition in cellular contexts. Here, we use temporal information to identify biologically relevant KSRs from Large-scale In Vivo Experiments (KSR-LIVE) in a data-dependent and automated fashion. First, we used available phosphorylation databases to construct a repository of existing experimentally-predicted KSRs. For each kinase in this database, we used time-resolved phosphoproteomics data to examine how its substrates changed in phosphorylation over time. Although substrates for a particular kinase clustered together, they often exhibited a different temporal pattern to the phosphorylation of the kinase. Therefore, although phosphorylation regulates kinase activity, our findings imply that substrate phosphorylation likely serve as a better proxy for kinase activity than kinase phosphorylation. KSR-LIVE can thereby infer which kinases are regulated within a biological context. Moreover, KSR-LIVE can also be used to automatically generate positive training sets for the subsequent prediction of novel KSRs using machine learning approaches. We demonstrate that this approach can distinguish between Akt and Rps6kb1, two kinases that share the same linear consensus motif, and provide evidence suggesting IRS-1 S265 as a novel Akt site. KSR-LIVE is an open-access algorithm that allows users to dissect phosphorylation signaling within a specific biological context, with the potential to be included in the standard analysis workflow for studying temporal high-throughput signal transduction data.

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Comparison of bioluminescent kinase assays using substrate depletion and product formation.

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