Summary
Protein kinases play a virtually universal role in cellular regulation and are emerging as an important class of new drug targets, yet the cellular functions of most human kinases largely remain obscure. Aspects of substrate recognition common to all kinases in the ATP nucleotide binding site have been exploited in the generation of analog specific mutants for exploring kinase function and discovering novel protein substrates. Likewise, understanding interactions with the protein substrate, which differ substantially between kinases, can also help to identify substrates and to produce tools for studying kinase pathways, including fluorescent biosensors. Principles of kinase substrate recognition are particularly valuable in guiding bioinformatics and phosphoproteomics approaches that impact our understanding of signaling pathways and networks on a global scale.
Introduction
Eukaryotic organisms dedicate some 2% of their genes to encode protein kinases, underscoring the widespread importance of protein phosphorylation in the regulation of myriad cellular actions [1]. Phosphorylation on serine, threonine and tyrosine can modulate protein function in many ways: by controlling subcellular localization, by acting as a tag for protein degradation or stabilization, by triggering the assembly of multiprotein complexes, or by allosterically regulating biochemical activity (e.g. activation or repression of an enzyme or transcription factor). Through regulated protein phosphorylation, processes as diverse and proliferation, migration, differentiation, and cell death are thereby subject to control by protein kinases. Each of these processes is deregulated in cancer, and protein kinases are frequently implicated as culprits in neoplastic initiation and progression. The clinical success of the BCR-Abl tyrosine kinase inhibitor imatinib in treating chronic myeloid leukemia was hailed as a triumph in “bench to bedside” translational medicine, and has led to a flood of pharmaceutical industry activity aimed at therapeutic targeting of kinases [2]. In addition to ten protein kinase inhibitors that have received regulatory approval in the United States, there are nearly 100 others in clinical trials. Aside from oncology, kinases are also being targeted in other disease areas, including diabetes, inflammatory disease, and neurodegenerative disease.
The choice of a kinase as a drug target requires a thorough understanding of its role in disease and in normal physiology. Among the challenges facing researchers in the field are to better understand where and when a kinase is activated, how such regulation occurs, how the kinase impacts physiology at the cellular and organismal level, and perhaps most critically, which proteins serve as substrates of the kinase to carry out its downstream effects. Elucidating such mechanistic details for each of the over 500 human kinases is a formidable task. To address these questions, new “kinomic” methods and approaches have emerged that allow global analysis of kinase activities and targets, including focused RNAi screening, kinome-wide inhibitor profiling, mass spectrometry (MS)-based phosphoproteomics, and analysis of proteome microarrays [3–6]. In this review, I will illustrate ways in which a detailed understanding of protein kinase-substrate interactions can help to elucidate cellular signaling pathways, particularly in the identification of new kinase substrates. I will give special attention to chemical and proteomic tools and approaches described within the last two years that have the capacity for large scale analysis of kinase function.
Reengineering the nucleotide binding pocket
All eukaryotic protein kinases share a common overall fold, comprising a β-sheet rich small N-terminal lobe and a mostly helical large C-terminal lobe (Figure 1A). The ATP binding site is at the interface between the two lobes, and most protein kinase inhibitors typically bind at this site as well in a manner competitive with ATP. The adenine moiety of ATP sits within a hydrophobic pocket in the small lobe, with the N6 and sometimes N1 nitrogens making hydrogen bonds to the kinase. In work carried out over the last decade, Shokat and co-workers have elaborated a strategy for exploiting conserved features of the adenine binding site to engineer kinase mutants specific for modified substrates and inhibitors [7,8]. For most kinases, mutation of the so-called gatekeeper residue (equivalent to Thr338 of human c-Src) to glycine or alanine produces an analog specific (AS) allele that can use non-natural ATP analogs bearing bulky residues at the N6 position (e.g. N6-benzyl-ATP) as a substrate (Figure 1B). Wild-type (WT) kinases, conversely, cannot use the modified nucleotide due to steric clashes with the gatekeeper. Similarly, AS mutants are uniquely inhibited by analogs of kinase inhibitors with appropriately placed bulky groups. These tools have seen increasing utilization as a means to identify protein substrates of kinases and to pharmacologically target a single kinase. Using WT kinases, labeling of substrates in vitro within a complex mixture such as a cell or tissue extract is problematic due to background from the endogenous kinases present [9]. However, incubation of an AS kinase mutant with radiolabeled N6-benzyl-ATP (or a similar analog) in a complex protein mixture results in exclusive labeling of direct substrates of the kinase, since endogenous WT kinases cannot use the analog as a substrate.
Figure 1.
Protein kinase structure and nucleotide binding pocket. A. Structure of IGF1R tyrosine kinase domain (green) in complex with a nucleotide analog (yellow) and peptide substrate (cyan), PDB code 1K3A [62]. B. The X-ray crystal structures of WT Src bound to AMP-PNP (a non-hydrolyzable ATP analog, top, PDB code 2SRC [63]) and AS mutant Src with in complex with N6-benzyl-ADP (bottom, PDB code 1KSW [64]) are shown. The gatekeeper residue (Thr338 in WT Src, mutated to Gly in AS Src) is indicated in magenta. The benzyl group of the bulky ATP analog (green sticks) is accommodated in the mutant but would clash with the gatekeeper in the WT enzyme. C. Epitope tagging of direct kinase substrates in two steps. Antibodies raised against a p-nitrobenzylthiophosphate hapten specifically recognize the final adduct.
Identifying the protein substrates detected using AS kinases generally requires biochemical purification and can pose a challenge, particularly if the targets are present at low levels (see for example [10]). Some recent innovations that have facilitated identification of substrates tagged using AS kinases include the use of antibodies to phosphotyrosine (pTyr) to affinity purify tyrosine kinase substrates [11] and an S. cerevisiae strain collection expressing each protein with an affinity tag from its endogenous locus to pick out substrates of yeast kinases [12]. In addition, the Shokat laboratory has found that most AS kinases tested can use ATP-γ-S analogs as the substrate, which yields thiophosphorylated rather than phosphorylated protein products. Subsequent alkylation of the incorporated thiophosphate group with a thiol-reactive electrophilic tag marks direct substrates of the kinase with a unique epitope (Figure 1C) [13,14••]. Though the electrophilic tag used also reacts with cysteine residues present in most proteins, by using high affinity antibodies raised against the full epitope (including the thiophosphate moiety), direct substrates can be specifically immunopurified and identified by MS. The group has validated this approach by isolating a known substrate of the Erk2 mitogen-activated protein kinase (MAPK) from permeabilized embryonic fibroblasts expressing an Erk2 AS allele from the endogenous locus. Interestingly, Zhou and co-workers have reported that at low pH (<4.0), electrophiles such as iodoacetamido-biotin react selectively with thiophosphate over cysteine thiols, allowing site-selective tagging of thiophosphorylated kinase substrates with biotin [15], which could allow for highly efficient purification on immobilized streptavidin. Further, Green and Pflum have shown that several kinases can use ATP biotinylated at the γ position as a substrate, thus transferring phosphobiotin directly to substrates [16]. Though the range of kinases that can accept biotin-ATP as a substrate and precise catalytic parameters for its use have not been determined, this approach holds promise as a generally accessible way to identify new kinase substrates through direct labeling.
Interactions with the protein substrate
The protein substrate binding site has been structurally characterized for a number of kinases through X-ray crystallography in complex with pseudosubstrate inhibitors and short peptide substrates [17–21]. The repertoire of kinase-peptide complex structures is rapidly expanding through the use of high affinity bisubstrate analogs, in which ATP is tethered to the phosphorylation site of a peptide substrate [22–25] (see [26] for a discussion of general features of substrate binding). Interactions with residues surrounding the phosphorylation site vary considerably between kinases, reflecting differences in sequence specificity (Figure 2). This selectivity at the active site of the kinase is reflected in specific sequence motifs found at phosphorylation sites in its protein substrates, and provides one mechanism by which different kinases phosphorylate distinct protein substrates. Protein kinase phosphorylation motifs can be experimentally determined by screening of either immobilized [27–29] or solution phase [30,31] peptide arrays. Peptide libraries immobilized on beads have recently been described for profiling tyrosine kinase specificity [32•]. A pool of beads, each bearing an individual peptide, is treated with the kinase. Phosphorylated beads are then detected using alkaline phosphatase-conjugated anti-pTyr antibodies and then manually segregated from the larger pool of unphosphorylated beads, followed by MS peptide sequencing. The method could theoretically be modified to incorporate fluorescence detection, allowing automated bead selection and higher throughput [33]. Unfortunately, the lack of suitably general antibodies for detecting pSer and pThr [34] restricts the approach to tyrosine kinases.
Figure 2.

The protein substrate binding site. Structures of two protein kinases (green), Pim1 (top, PDB code 2BIL [21]) and Cdk2 (bottom, PDB code 1GY3 [19]), in complex with their respective peptide substrates (cyan). In both frames the phosphoacceptor residue is in magenta. For Pim1, the kinase makes an extensive network of polar contacts to residues upstream of the phosphorylation site, while Cdk2 interacts principally downstream of the phosphoacceptor. Note for example the ion pair between a pThr residue in the kinase activation loop and a lysine residue in the bound peptide. For clarity the cyclin subunit has been removed.
Peptide-based kinase biosensors
Peptide screening approaches often produce optimized substrates with high catalytic efficiency and selectivity for a particular kinase. One exciting application of such substrates is in the generation of genetically encoded kinase biosensors, which allow kinase activity to be monitored dynamically in living cells with spatiotemporal resolution using fluorescence microscopy [35]. Typically kinase biosensors are fusion proteins incorporating a pair of green fluorescent protein variants (e.g. YFP and CFP) that exhibit fluorescence resonance energy transfer (FRET). A phosphorylation site for a given kinase and a phosphopeptide binding module are installed in between the two fluorescent proteins (Figure 3A). Phosphorylation of the sensor triggers an intramolecular interaction between the phosphopeptide binding domain and the phosphorylated sequence. By altering the interfluorophore distance and geometry, this changes the extent of FRET between the two fluorescent proteins. Biosensors of this type have now been developed for multiple kinases, and have recently helped to elucidate novel regulatory mechanisms for PKA and for PKD [36,37]. Optimization of the PKA biosensor by Zhang and coworkers produced a reagent suitable for small molecule inhibitor screening, thus expanding the repertoire of cell based assays for protein kinase signaling pathways [38•].
Figure 3.

Fluorescent kinase biosensors. A. Multidomain genetically encoded biosensors incorporating fluorescent proteins. B. Kinase inducible domain that folds in response to phosphorylation in the presence of metal ions to produce a fluorescent signal.
Several groups have described synthetic peptides that bind divalent metal ions in a phosphorylation-dependent manner, with phosphate providing an essential ligand to coordinate the metal; incorporation of chelation-sensitive fluorophores into such peptides creates “chemosensors” that have altered fluorescence upon phosphorylation in the presence of the appropriate metal ions [39,40]. An interesting elaboration on this strategy has been the design of a kinase-inducible domain (Figure 3B) [41•]. A minimal EF hand motif peptide was modified to replace an essential metal-coordinating glutamate residue with serine; in this context only the phosphorylated peptide binds metal ions tightly and becomes structured. Incorporating tryptophan residues into the peptide to absorb light produced phosphorylation-dependent fluorescence when luminescent lanthanides were used as the metal ion. Inherent sequence flexibility within the system allows the generation of such substrates for many kinases with distinct phosphorylation motifs, and the exclusive use of naturally occurring amino acids means that these domains have the capacity to be genetically encoded and used in living cells.
Motif-based approaches to the identification of novel kinase substrates
Armed with a consensus phosphorylation motif, bioinformatics tools can be used to scan proteomes for sequences likely to be phosphorylated by a particular kinase [42,43]. A drawback of this approach is the high rate of false positives: predicted sites may be buried within the protein and thus inaccessible to the kinase, the kinase and substrate may not co-localize, and authentic protein substrates may require docking or scaffolding interactions that occur distal to the site of phosphorylation. Approaches to filter out such false positives include artificial neural networks trained on experimentally verified phosphorylation sites [44] and consideration of intrinsic disorder [45] or evolutionary conservation of the surrounding sequence [46]. Some protein kinase families, such as cyclin dependent kinases (CDKs) and MAPKs, often phosphorylate substrates at multiple sites that are clustered within proteins, which can have predictive value [47–49].
Protein kinases with close homology that belong to a common family tend to have similar if not identical phosphorylation site motifs (see for example [21]), and there can also be considerable overlap in sequence specificity between families (both CDKs and MAPKs share a minimal phosphorylation consensus of Ser/Thr-Pro, for example). Substrate selection by protein kinases in vivo can involve interactions distal to the phosphorylation site mediated by scaffolds, docking sites, or separate protein interaction domains [50,51]. Thus, it can be difficult to unambiguously match a specific kinase to a known or predicted phosphorylation site. Indeed, for kinases with relatively simple phosphorylation motifs, computer database searching has failed to identify known substrates [52,53]. Linding et al. have taken a computational approach to this problem, termed NetworKIN [54,55••]. The approach integrates an algorithm that matches sites to known phosphorylation motifs (from 20 kinase families, 112 human kinases in all) with a protein interaction network compiled from various literature sources, including curated pathway databases and co-expression data. Using NetworKIN, the authors found that they could not only increase the confidence level of kinase-substrate predictions made based on phosphorylation motifs alone, but could also assign sites to specific members of a kinase family. Among a set of predictions made in a model of the mammalian DNA damage response (DDR), the authors validated several new kinase targets in cultured cells. As our knowledge of kinase phosphorylation motifs becomes more complete, this approach will no doubt become even more powerful as a means to globally predict cellular phosphorylation networks.
Large scale MS-based phosphoproteomics efforts have begun to catalog thousands of in vivo phosphorylation sites and to follow quantitatively changes in phosphorylation levels in response to cellular stimuli [4,56]. Consideration of experimentally determined consensus phosphorylation motifs has been used to suggest likely phosphorylating kinases [57–60]. A recent example targeting the eukaryotic DNA damage response (DDR) illustrates the converse: using consensus phosphorylation motifs to direct phosphoproteomics to define protein kinase targets [61••]. The DDR is a conserved pathway that is essential for activating processes that occur in response to damaged DNA, including cell cycle arrest, gene transcription, and DNA repair. Two related serine-threonine kinases, ATM and ATR, are essential upstream components of the DDR that function to relay the signal to a diverse group of downstream effectors. ATM and ATR possess a unique phosphorylation motif, requiring a glutamine residue immediately downstream of the phosphorylated serine or threonine. The authors took advantage of this unique consensus in a motif-directed phosphoproteomics approach. Protein extracts from cells treated with ionizing radiation were digested with trypsin to produce short peptides, from which a subset of the phosphopeptides was affinity purified using antibodies that recognize proteins and peptides phosphorylated within an S/T-Q sequence. This analysis spectacularly identified some 900 phosphorylation sites on 700 proteins, increasing the number of known ATM/ATR substrates approximately 30-fold. Enriching for peptides phosphorylated within a particular consensus sequence almost certainly facilitated identification of low abundance phosphorylation sites, and this strategy will likely be useful for identifying targets of other protein kinases as well.
Conclusions
Though a great deal of new information regarding protein kinase signaling networks has been uncovered in recent years, clearly the current state of knowledge is only the tip of the iceberg. That the majority of phosphorylation sites uncovered by each successive quantitative phosphoproteomics study are novel suggests that thousands, perhaps tens of thousands more sites exist in humans in excess of our current tally. For most of the ones catalogued thus far, the responsible kinases and the functional significance for cellular regulation remain obscure, and this fraction is only likely to increase as phosphoproteomes become more fully defined. The methods described here will hopefully help narrow this growing gap in our knowledge.
Acknowledgments
I am grateful to Katja Lamia and Reuben Shaw for helpful comments on the manuscript. This work was supported the National Institutes of Health (R01 GM079498).
Footnotes
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