Jonathan S. Rosenblum

Synergistic Computational and Experimental Proteomics Approaches for More Accurate Detection of Active Serine Hydrolases in Yeast

An analysis of the structurally and catalytically diverse serine hydrolase protein family in the Saccharomyces cerevisiae proteome was undertaken using two independent but complementary, large-scale approaches. The first approach is based on computational analysis of serine hydrolase active site structures; the second utilizes the chemical reactivity of the serine hydrolase active site in complex mixtures. These proteomics approaches share the ability to fractionate the complex proteome into functional subsets. Each method identified a significant number of sequences, but 15 proteins were identified by both methods. Eight of these were unannotated in the Saccharomyces Genome Database at the time of this study and are thus novel serine hydrolase identifications. Three of the previously uncharacterized proteins are members of a eukaryotic serine hydrolase family, designated as Fsh (family of serine hydrolase), identified here for the first time. OVCA2, a potential human tumor suppressor, and DYR—SCHPO, a dihydrofolate reductase from Schizosaccharomyces pombe, are members of this family. Comparing the combined results to results of other proteomic methods showed that only four of the 15 proteins were identified in a recent large-scale, “shotgun” proteomic analysis and eight were identified using a related, but similar, approach (neither identifies function). Only 10 of the 15 were annotated using alternate motif-based computational tools. The results demonstrate the precision derived from combining complementary, function-based approaches to extract biological information from complex proteomes. The chemical proteomics technology indicates that a functional protein is being expressed in the cell, while the computational proteomics technology adds details about the specific type of function and residue that is likely being labeled. The combination of synergistic methods facilitates analysis, enriches true positive results, and increases confidence in novel identifications. This work also highlights the risks inherent in annotation transfer and the use of scoring functions for determination of correct annotations.

Functional interrogation of kinases and other nucleotide-binding proteins

The largest mammalian enzyme family is the kinases. Kinases and other nucleotide‐binding proteins are key regulators of signal transduction pathways and the mutation or overexpression of these proteins is often the difference between health and disease. As a result, a massive research effort has focused on understanding how these proteins function and how to inhibit them for therapeutic benefit. Recent advances in chemical biological tools have enabled functional interrogation of these enzymes to provide a deeper understanding of their physiological roles. In addition, these innovative platforms have paved the way for a new generation of drugs whose properties have been guided by functional profiling.

Synthesis and structure-activity relationship of 4-quinolone-3-carboxylic acid based inhibitors of glycogen synthase kinase-3β.

The synthesis, GSK-3β inhibitory activity, and anti-microbial activity of bicyclic and tricyclic derivatives of the 5,7-diamino-6-fluoro-4-quinolone-3-carboxylic acid scaffold were studied. Kinase selectivity profiling indicated that members of this class were potent and highly selective GSK-3 inhibitors.

Inhibitor focusing: direct selection of drug targets from proteomes using activity-based probes.

In the latter stages of drug discovery and development, assays that establish drug selectivity and toxicity are important when side effects, which are often due to lack of specificity, determine drug candidate viability. There has been no comprehensive or systematic methodology to measure these factors outside of whole-animal assays, and such phenomenological assays generally fail to establish the additional targets of a given small molecule, or the molecular origin of toxicity. Consequently, small-molecule development programs destined for failure often reach advanced stages of testing, and the money and time invested in such programs could be saved if information on selectivity were available early in the process. Here, we present a methodology that utilizes chemical ABPs in combination with small-molecule inhibitors to selectively label small-molecule binding sites in whole proteomic samples. In principle, the ABP and small molecule will compete for similar binding sites, such that the small molecule will protect against modification by the ABP. Thus, after removal of the small molecule, the binding site for the ABP will be revealed, and a second probe can then be used to label the small-molecule binding sites selectively. To demonstrate this experimentally, we mapped the binding sites of the DPP4 inhibitor, IT, in a number of different tissue types.

Monitoring native p38α:MK2/3 complexes via trans delivery of an ATP acyl phosphate probe.

Here we describe a chemical proteomics strategy using ATP acyl phosphates to measure the formation of a protein:protein complex between p38α and mapkap kinases 2 and/or 3. Formation of the protein:protein complex results in a new probe labeling site on p38α that can be used to quantify the extent of interaction in cell lysates and the equilibrium binding constant for the interaction in vitro. We demonstrate through RNA interference that the labeling site is dependent on formation of the protein:protein complex in cells. Further, we identify that active-site-directed, small-molecule inhibitors of MK2/3 selectively inhibit the heterodimer-dependent probe labeling, whereas p38α inhibitors do not. These findings afford a new method to evaluate p38α and MK2/3 inhibitors within native biological systems and a new tool for improved understanding of p38α signaling pathways.

Synthesis and structure-activity relationship of (1-halo-2-naphthyl) carbamate-based inhibitors of KIAA1363 (NCEH1/AADACL1).

KIAA1363 is a serine hydrolase whose activity has been shown to be positively associated with tumor cell invasiveness. Thus, inhibitors of KIAA1363 represent a novel targeted therapy approach towards cancer. AX11890 ((1-bromo-2-naphthyl) N,N-dimethylcarbamate) was identified as a KIAA1363 inhibitor with an IC(50) value of 1.2 μM and was shown using ESI-MS to carbamylate the catalytic residue Ser(191). SAR studies explored both substitution of the 1-bromo group and derivatization of the 6-position. Activity-based protein profiling demonstrated AX13057 inhibited tumor-localized KIAA1363 in SK-OV-3 xenograft-bearing mice.

Abstract 1789: Profiling HSP90 inhibitors in cellular extracts on a mass spectrometry chemoproteomics platform

HSP90 is a ubiquitous molecular chaperone that couples ATP hydrolysis to the folding and maturation of numerous client proteins. Because many of these client proteins are essential to cancer cell growth and survival, HSP90 inhibitors have undergone clinical investigation in numerous oncology indications. Here, using an LC-MS/MS platform previously developed to characterize ATP-competitive inhibitors of protein kinases, several HSP90 inhibitors were profiled in native cell lysates. This method utilizes an ATP derivative that covalently labels lysine residues in the ATP-binding site of any amenable enzyme. The specificity of inhibitors for all four paralogs of HSP90 (HSP90α, HSP90β, Grp94 and Trap-1) found in human cells was simultaneously monitored at their endogenous relative abundances. Interestingly, the concentration of HSP90 paralogs in human cell lysates was significantly higher than reported inhibitor binding constants, therefore complete inhibition was only observed at much higher concentrations than would have been predicted. In addition to the four HSP90 paralogs, inhibition data was collected on over 400 protein kinases and other nucleotide-binding proteins. This led to the discovery that NVP-AUY922 has off-target activity toward PMS2, an enzyme, like HSP90 itself, belonging to the GHKL ATPase superfamily. In addition to directly profiling compound targets in lysates, downstream effects of HSP90 inhibition were monitored by treating live cells and analyzing the resulting cell lysates at defined time points. Many proteins were found to be much less abundant in the compound-treated cells, including known HSP90 client proteins and novel, putative client proteins. Citation Format: Tyzoon K. Nomanbhoy, Brian E. Nordin, Jonathan Rosenblum, Yongsheng Liu. Profiling HSP90 inhibitors in cellular extracts on a mass spectrometry chemoproteomics platform. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1789. doi:10.1158/1538-7445.AM2014-1789