Mitogen activated protein (MAP) kinases are responsible for many cellular functions, and their malfunction manifests itself in several human diseases. Usually, monitoring the phosphorylation states of MAP kinases in-vitro requires the preparation and purification of the proteins or western blotting. Herein, we report an array sensing approach for the differentiation of MAP kinases and their phosphorylated counterparts in-vitro. This technique utilizes a library of differential receptors created in-situ containing peptides known for affinity to MAP kinases, and a Zn(II)–dipicolylamine complex that binds phosphate groups on proteins. An indicator-displacement assay signals the binding of the individual receptors to the kinases, while chemometrics is used to create a fingerprint for the kinases and their state of activity. For example, linear discriminant analysis correctly identified kinase activity with a classification accuracy of 97.5% in-vitro, while the cellular response to kinase expression was classified with 100% accuracy.

Five SOX peptides are used to classify the MAPK groups and isoforms thereof using chemometrics. The score plots show excellent classification and accuracy, while support vector machine analysis leads to the quantification of ERK and an ERK inhibitor concentration in kinase mixtures. Examination of the loading plots reveals cross-reactivity among the peptides, and some unexpected surprises.

Protein kinases are therapeutic targets for many human diseases, but the lack of user-friendly quantitative assays limits the ability to follow the activities of numerous kinases at once (multiplexing). To develop such an assay, we report an array of sulfonamido-oxine (SOX)-labeled peptides showing cross-reactivity to different mitogen-activated protein kinases (MAPKs) for use in a differential sensing scheme. We first verified using linear discriminant analysis that the array could differentiate MAPK isoforms. Then, using principal component analysis, the array was optimized based on the discrimination imparted by each SOX-peptide. Next, the activity of individual MAPK families in ternary mixtures was quantified by support vector machine regression. Finally, we multiplexed the quantification of three MAPK families using partial least squares regression in A549 cell lysates, which has possible interference from other kinase classes. Thus, our method simultaneously quantifies the activity of multiple kinases. The technique could be applied to other protein kinase families and the monitoring of diseases.

The understanding of complex biological systems requires an ability to evaluate interacting networks of genes, proteins, and cellular reactions. Enabling technologies that support the rapid quantification of these networks will facilitate the development of biological models and help to identify treatment targets and to assess treatment plans. The biochemical process of protein phosphorylation, which underlies almost all aspects of cell signaling, is typically evaluated by immunoblotting procedures (Western blot) or more recently proteomics procedures, which provide qualitative estimates of the concentration of proteins and their modifications in cells. However, protein modifications are difficult to correlate with activity, and while immunoblotting and proteomics approaches have the potential to be quantitative, they require a complex series of steps that diminish reproducibility. Here, a complementary approach is presented that allows for the rapid quantification of a protein kinase activity in cell lysates and tumor samples. Using the activity of cellular ERK (extracellular signal-regulated kinase) as a test case, an array sensing *

Recently, the targeting of ERK with ATP-competitive inhibitors has emerged as a potential clinical strategy to overcome acquired resistance to BRAF and MEK inhibitor combination therapies. In this study, we investigate an alternative strategy of targeting the D-recruitment site (DRS) of ERK. The DRS is a conserved region that lies distal to the active site and mediates ERK–protein interactions. We demonstrate that the small molecule BI-78D3 binds to the DRS of ERK2 and forms a covalent adduct with a conserved cysteine residue (C159) within the pocket and disrupts signaling in vivo. BI-78D3 does not covalently modify p38MAPK, JNK or ERK5. BI-78D3 promotes apoptosis in BRAF inhibitor-naive and resistant melanoma cells containing a BRAF V600E mutation. These studies provide the basis for designing modulators of protein–protein interactions involving ERK, with the potential to impact ERK signaling dynamics and to induce cell cycle arrest and apoptosis in ERK-dependent cancers.