Mathias Dreger

Probing small molecule–protein interactions: A new perspective for functional proteomics

The isolation of proteome subsets on the basis of the interactions of small molecules with proteins is an emerging paradigm in proteomics. Depending on the nature of the small molecule used as a bait, entire protein families can be monitored in biological samples, or new functions can be attributed to previously uncharacterized proteins. With pharmaceutical compounds as baits, drug targets and toxicity-relevant off-targets can be discovered in an unbiased proteomic screen. At the heart of this strategy are synthetic bi- or trifunctional small molecule probes. These probes carry the small molecules of interest as baits (selectivity function), as well as a sorting function for the isolation of small molecule-protein complexes or conjugates from complex protein mixtures. In some designs, a covalent linkage of the bound protein to the probe is established through a separate reactivity function or a combined selectivity/reactivity function. The covalent linkage allows for isolation or detection of probe-protein conjugates also under harsh or denaturing conditions. Ultimately, specifically isolated proteins are commonly identified by mass spectrometry. This review summarizes probe designs, workflows, and published applications of the three dominant approaches in the field, namely affinity pulldown, activity-based protein profiling, and Capture Compound Mass Spectrometry.

Capture Compound Mass Spectrometry Sheds Light on the Molecular Mechanisms of Liver Toxicity of Two Parkinson Drugs

Capture compound mass spectrometry (CCMS) is a novel technology that helps understand the molecular mechanism of the mode of action of small molecules. The Capture Compounds are trifunctional probes: A selectivity function (the drug) interacts with the proteins in a biological sample, a reactivity function (phenylazide) irreversibly forms a covalent bond, and a sorting function (biotin) allows the captured protein(s) to be isolated for mass spectrometric analysis. Tolcapone and entacapone are potent inhibitors of catechol-O-methyltransferase (COMT) for the treatment of Parkinsons disease. We aimed to understand the molecular basis of the difference of both drugs with respect to side effects. Using Capture Compounds with these drugs as selectivity functions, we were able to unambiguously and reproducibly isolate and identify their known target COMT. Tolcapone Capture Compounds captured five times more proteins than entacapone Capture Compounds. Moreover, tolcapone Capture Compounds isolated mitochondrial and peroxisomal proteins. The major tolcapone-protein interactions occurred with components of the respiratory chain and of the fatty acid beta-oxidation. Previously reported symptoms in tolcapone-treated rats suggested that tolcapone might act as decoupling reagent of the respiratory chain (Haasio et al., 2002b). Our results demonstrate that CCMS is an effective tool for the identification of a drugs potential off targets. It fills a gap in currently used in vitro screens for drug profiling that do not contain all the toxicologically relevant proteins. Thereby, CCMS has the potential to fill a technological need in drug safety assessment and helps reengineer or to reject drugs at an early preclinical stage.

Dasatinib, imatinib and staurosporine capture compounds - Complementary tools for the profiling of kinases by Capture Compound Mass Spectrometry (CCMS).

Capture Compound Mass Spectrometry (CCMS) is a platform technology for the functional isolation of subproteomes. Here we report the synthesis of two new kinase Capture Compounds (CCs) based on the tyrosine-kinase specific inhibitors dasatinib and imatinib and compare their interaction profiles to that of our previously reported staurosporine-CCs. CCs are tri-functional molecules: they comprise a sorting function (e.g. the small molecule or drug of interest) which interacts with target proteins, a photo-activatable reactivity function to covalently trap the interacting proteins, and a sorting function to isolate the CC-protein conjugates from complex biological samples for protein identification by liquid chromatography/mass spectrometry (LC-MS/MS). We present data of CCMS experiments from human HepG2 cells and compare the profiles of the kinases isolated with dasatinib, imatinib and staurosporine CC, respectively. Dasatinib and imatinib have a more selective kinase binding profile than staurosporine. Moreover, the new CCs allow isolation and identification of additional kinases, complementing the staurosporine CC. The family of kinase CCs will be a valuable tool for the proteomic profiling of this important protein class. Besides sets of expected kinases we identified additional specific interactors; these off-targets may be of relevance in the view of the pharmacological profile of dasatinib and imatinib.

SAHA Capture Compound - A novel tool for the profiling of histone deacetylases and the identification of additional vorinostat binders

Suberoylanilide hydroxamic acid (SAHA) is a potent histone deacetylase (HDAC) inhibitor. Inhibitors of HDACs are used in cancer therapy based on the role HDACs play in transcription by regulating chromatin compaction and non‐histone proteins such as transcription factors. Profiling of HDAC expression is of interest in the functional proteomics analysis of cancer. Also, non‐HDAC proteins may interact with HDAC inhibitor drugs and contribute to the drug mode of action. We here present a tool for the unbiased chemical proteomic profiling of proteins that specifically interact with SAHA. We designed and synthesized a trifunctional Capture Compound containing SAHA as selectivity and identified HDACs1, 2, 3 and 6, known and predicted HDAC interactors from human‐derived HepG2 cell lysate, as well as a set of new potential non‐HDAC targets of SAHA. One of these non‐HDAC targets, isochorismatase domain‐containing protein 2 (ISOC2) is putative hydrolase associated with the negative regulation of the tumor‐suppressor p16(INK4a). We demonstrated the direct and dose‐dependent interaction of SAHA to the purified recombinant ISOC2 protein. Using SAHA Capture Compound mass spectrometry, we thus identified potential new SAHA target proteins in an entirely unbiased chemical proteomics approach.

GDP-capture compound--a novel tool for the profiling of GTPases in pro- and eukaryotes by capture compound mass spectrometry (CCMS).

The functional isolation of proteome subsets based on small molecule-protein interactions is an increasingly popular and promising field in functional proteomics. Entire protein families may be profiled on the basis of their common interaction with a metabolite or small molecule inhibitor. This is enabled by novel multifunctional small molecule probes. One platform approach in this field are Capture Compounds that contain a small molecule of interest to bind target proteins, a photo-activatable reactivity function to covalently trap bound proteins, and a sorting function to isolate Capture Compound-protein conjugates from complex biological samples for direct trypsinisation and protein identification by liquid chromatography/mass spectrometry (CCMS). We here present the synthesis and application of a novel GDP-Capture Compound for the functional enrichment of GTPases, a pivotal protein family that exerts key functions in signal transduction. We present data from CCMS experiments on two biological lysates from Escherichia coli and from human-derived Hek293 cells. The GDP-Capture Compound robustly captures a wide range of different GTPases from both systems and will be a valuable tool for the proteomic profiling of this important protein family.

Immunocapture and Identification of Cell Membrane Protein Antigenic Targets of Serum Autoantibodies

There is increasing interest in the role of antibodies targeting specific membrane proteins in neurological and other diseases. The target(s) of these pathogenic antibodies is known in a few diseases, usually when candidate cell surface proteins have been tested. Approaches for identifying new antigens have mainly resulted in the identification of antibodies to intracellular proteins, which are often very useful as diagnostic markers for disease but unlikely to be directly involved in disease pathogenesis because they are not accessible to circulating antibodies. To identify cell surface antigens, we developed a “conformational membrane antigen isolation and identification” strategy. First, a cell line is identified that reacts with patient sera but not with control sera. Second, intact cells are exposed to sera to allow the binding of presumptive autoantibodies to their cell surface targets. After washing off non-bound serum components, the cells are lysed, and immune complexes are precipitated. Third, the bound surface antigen is identified by mass spectrometry. As a model system we used a muscle cell line, TE671, that endogenously expresses muscle-specific tyrosine receptor kinase (MuSK) and sera or plasmas from patients with a subtype of the autoimmune disease myasthenia gravis in which patients have autoantibodies against MuSK. MuSK was robustly detected as the only membrane protein in immunoprecipitates from all three patient samples tested and not from the three MuSK antibody-negative control samples processed in parallel. Of note, however, there were many intracellular proteins found in the immunoprecipitates from both patients and controls, suggesting that these were nonspecifically immunoprecipitated from cell extracts. The conformational membrane antigen isolation and identification technique should be of value for the detection of highly relevant antigenic targets in the growing number of suspected antibody-mediated autoimmune disorders. The approach would also be very suitable for the analysis of human or experimental antitumor responses.

Dabigatran and dabigatran ethyl ester: potent inhibitors of ribosyldihydronicotinamide dehydrogenase (NQO2).

Recent studies have revealed that compounds believed to be highly selective frequently address multiple target proteins. We investigated the protein interaction profile of the widely prescribed thrombin inhibitor dabigatran (1), resulting in the identification and subsequent characterization of an additional target enzyme. Our findings are based on an unbiased functional proteomics approach called capture compound mass spectrometry (CCMS) and were confirmed by independent biological assays. 1 was shown to specifically bind ribosyldihydronicotinamide dehydrogenase (NQO2), a detoxification oxidoreductase. Molecular dockings predicted and biological experiments confirmed that dabigatran ethyl ester (2) inhibits NQO2 even more effectively than the parent 1 itself. Our data show that 1 and 2 are inhibitors of NQO2, thereby revealing a possible new aspect in the mode of action of 1. We present a workflow employing chemical proteomics, molecular modeling, and functional assays by which a compounds protein-interaction profile can be determined and used to tune the binding affinity.

Profiling of methyltransferases and other S-Adenosyl-L-homocysteine-binding proteins by Capture Compound mass spectrometry.

There is a variety of approaches to reduce the complexity of the proteome on the basis of functional small molecule-protein interactions. We describe a generic approach based on trifunctional Capture Compounds, in which the initial equilibrium-driven interaction between a small molecule probe and target proteins is irreversibly fixed upon photo-crosslinking between an independent photo-activable reactivity function of the Capture Compound and the surface of the target protein(s). Subsequently, Capture Compound - protein conjugates are isolated from complex biological mixtures via the sorting function of the Capture Compound. Here, we describe the application of a trifunctional Capture Compound that carries the methyltransferase product inhibitor S-Adenosyl-L -homocysteine as the selectivity function for the isolation of methyltransferases from a complex lysate of Escherichia coli DH5α cells. Photo-activated crosslinking enhances yield and sensitivity of the experiment, and the specificity can be readily tested for in competition experiments using an excess of free S-Adenosyl-L -homocysteine.

Identification of Potential Off-target Toxicity Liabilities of Catechol-O-methyltransferase Inhibitors by Differential Competition Capture Compound Mass Spectrometry

Structurally related inhibitors of a shared therapeutic target may differ regarding potential toxicity issues that are caused by different off-target bindings. We devised a differential competition capture compound mass spectrometry (dCCMS) strategy to effectively differentiate off-target profiles. Tolcapone and entacapone are potent inhibitors of catechol-O-methyl transferase (COMT) for the treatment of Parkinsons disease. Tolcapone is also known for its hepatotoxic side effects even though it is therapeutically more potent than entacapone. Here, we identified 3-hydroxyisobutyryl-CoA hydrolase (HIBCH) as a possible toxicity-causing off-target of tolcapone, and this protein is not bound by the less toxic COMT inhibitor entacapone. Moreover, two novel compounds from a focused library synthesized in-house, N(2),N(2),N(3),N(3)-tetraethyl-6,7-dihydroxy-5-nitronaphthalene-2,3-dicarboxamide and 5-(3,4-dihydroxy-5-nitrobenzylidene)-3-ethylthiazolidine-2,4-dione, were utilized to gain insight into the structure-activity relationships in binding to COMT and the novel off-target HIBCH. These compounds, especially N(2),N(2),N(3),N(3)-tetraethyl-6,7-dihydroxy-5-nitronaphthalene-2,3-dicarboxamide, could serve as starting point for the development of improved and more specific COMT inhibitors.

A novel approach to detect resistance mechanisms reveals FGR as a factor mediating HDAC inhibitor SAHA resistance in B-cell lymphoma

Histone deacetylase (HDAC) inhibitors such as suberoylanilide hydroxamic acid (SAHA) are not commonly used in clinical practice for treatment of B‐cell lymphomas, although a subset of patients with refractory or relapsed B‐cell lymphoma achieved partial or complete remissions.