Interrogating cAMP-dependent Kinase Signaling in Jurkat T Cells via a Protein Kinase A Targeted Immune-precipitation Phosphoproteomics Approach

In the past decade, mass-spectrometry-based methods have emerged for the quantitative profiling of dynamic changes in protein phosphorylation, allowing the behavior of thousands of phosphorylation sites to be monitored in a single experiment. However, when one is interested in specific signaling pathways, such shotgun methodologies are not ideal because they lack selectivity and are not cost and time efficient with respect to instrument and data analysis time.Here we evaluate and explore a peptide-centric antibody generated to selectively enrich peptides containing the cAMP-dependent protein kinase (PKA) consensus motif. This targeted phosphoproteomic strategy is used to profile temporal quantitative changes of potential PKA substrates in Jurkat T lymphocytes upon prostaglandin E₂ (PGE₂) stimulation, which increases intracellular cAMP, activating PKA. Our method combines ultra-high-specificity motif-based immunoaffinity purification with cost-efficient stable isotope dimethyl labeling. We identified 655 phosphopeptides, of which 642 (i.e. 98%) contained the consensus motif R/K]R/K/X]XpS/pT]. When our data were compared with a large-scale Jurkat T-lymphocyte phosphoproteomics dataset containing more than 10,500 phosphosites, a minimal overlap of 0.2% was observed. This stresses the need for such targeted analyses when the interest is in a particular kinase.Our data provide a resource of likely substrates of PKA, and potentially some substrates of closely related kinases. Network analysis revealed that about half of the observed substrates have been implicated in cAMP-induced signaling. Still, the other half of the here-identified substrates have been less well characterized, representing a valuable resource for future research.The identification and quantification of protein phosphorylation under system perturbations is an integral part of systems biology (1, 2). The combination of phosphopeptide enrichment (3–6), stable isotope labeling, and high-resolution mass spectrometry (MS) methods (7–9) has become the method of choice for the identification of novel phosphorylation sites and for the quantitation of temporal dynamics within signaling networks (10, 11), allowing the behavior of thousands of phosphorylation sites to be studied in a single experiment (10, 12, 13). Nowadays, one of the most commonly adopted high-throughput phosphoproteomics strategies utilizes two consecutive separation steps: (i) an initial fractionation to reduce the sample complexity, and (ii) a phosphopeptide-specific affinity purification. Such techniques include strong cation exchange fractionation under acidic conditions (3), followed by a chelation-based method with the use of metal ions (i.e. immobilized metal ion affinity chromatography (4), metal oxide affinity chromatography (10, 14), or Ti⁴⁺ immobilized metal ion affinity chromatography (6)). Alternatives to strong cation exchange for the first sample fractionation step have also been reported, including the use of electrostatic repulsion liquid chromatography (15, 16), which is well suited for the identification of multiply phosphorylated peptides, or hydrophilic interaction chromatography (17).Although the number of detected phosphorylated peptides is nowadays impressive, these kinds of methodologies are still inclined to identify/quantify the more abundant phosphoproteins present in a sample. For example, phosphotyrosine peptides are underrepresented because of their relatively lower abundance.In order to analyze key signaling events that may occur on less abundant phosphoproteins, more targeted approaches, focused on a specific pathway or a specific post-translational modification, are thus still essential. Studies examining post-translational modifications are often based on immunoaffinity purification at the protein or peptide level using dedicated antibodies. Recent examples include the selective enrichment of acetylated lysines (18) and phosphorylated tyrosines (19, 20). More recently, the first specific methods targeting serine/threonine phosphorylation motifs using immune-affinity assays have emerged (21, 22). The advantages of targeted approaches are their potentially higher sensitivity and more specific throughput with, as a consequence, relatively faster and easier data interpretation, which make them attractive for many systems biology applications.Immunoaffinity enrichment can be applied at both the protein and the peptide level, and both have been explored to study protein tyrosine phosphorylation (23). The first one results mainly in information on total protein phosphorylation levels. The detection of the actual phosphoresidue might be hampered by the high content of unmodified peptides derived from the immune-purified phosphoprotein and its binding partners. Immunoprecipitation at the peptide level (20, 24, 25), in contrast, leads to improved phosphosite characterization, with the identification of hundreds of sites, albeit with the loss (generally) of information regarding total protein expression.To profile the dynamic regulation of phosphorylation events via mass spectrometry, stable isotope labeling is often implemented, either with the use of amino acids in cell culture (10) or via chemical peptide labeling of the proteolytic digests (26, 27). To identify low-abundant signaling events, phosphoprotein/phosphopeptide immunoprecipitation is typically performed on several milligrams of material because of the substoichiometric abundance of post-translational modifications. This may hamper the use of expensive isotope-labeling reagents such as iTRAQ or tandem mass tag reagents, given the large amount of chemicals needed. Boersema et al. (28) introduced an alternative sensitive and accurate triplex labeling approach using inexpensive reagents (i.e. formaldehyde) that is much less limited in terms of the sample type or amount. We combined this latter stable-isotope dimethyl labeling approach (27–29) with highly specific antibodies raised against a set of cAMP-dependent protein kinase (PKA) phosphorylated substrates as based on the current literature (11, 30–34). It is generally accepted that PKA phosphorylates sites with the reasonably stringent consensus motif R/K]R/K/X]XpS/pT]. It should be noted that this consensus motif resembles somewhat the motifs of other AGC kinases (e.g. Akt, PKG, PKC).The basicity of the PKA motifs may hamper their analysis via MS-based proteomics, especially when trypsin is used as a protease, as the peptides may become too small to be sequenced. The use of trypsin is also unfavorable in the approach presented here when attempting to immunoprecipitate peptides bearing the PKA motif. Therefore, we decided to use Lys-C in order to keep the (dominant (RRXpS/pT])) phosphorylated motif intact. To enhance identification, we applied decision-tree MS/MS technology (9), which makes use of HCD and ETD for more efficient fragmentation, higher mass accuracy in tandem MS mode, and less background noise (35).We applied this method to screen the response of Jurkat T cells to prostaglandin E₂ (PGE₂) treatment. PGE₂ is a potent inflammatory mediator that plays an important role in several immune-regulatory actions (36). It is produced by many different cell types, including tumor cells, where carcinogenesis is associated with chronic inflammatory responses (37). PGE₂ signaling in T cells is initiated by its binding to the G protein–coupled receptors EP1, -2, -3, and -4. Signaling pathways that are initiated by PGE₂ are for the most part under control of the second messenger cyclic adenosine monophosphate (cAMP),¹ which is generated from ATP by adenylyl cyclase when PGE₂ binds to EP2 or EP4 receptors. One of the primary targets of cAMP is PKA—cAMP binding releases the catalytic subunit activating the kinase. In the current study, we efficiently enriched close to 650 phosphopeptides containing the R/K]R/K/X]XpS/pT] consensus motif. Almost all these sites were absent in a recently reported comprehensive phosphoproteomics dataset of Jurkat T cells (12), compiled using shotgun strong cation exchange–immobilized metal ion affinity chromatography analysis and containing ∼10,500 phosphorylation sites, illustrative of the complementarity and selectivity of our approach. The qualitative and quantitative data presented here provide a wide-ranging and credible resource of likely PKA substrates. Network analysis confirmed several established cAMP-dependent signaling nodes in our dataset, although most identified potential PKA substrates are “novel” (i.e. not previously reported and/or linked to PKA). Therefore, the dataset presented here can be considered as a comprehensive and reliable resource for future research into cAMP-related signaling.