In-cell selectivity profiling of serine protease inhibitors by activity-based proteomics.

Activity-based proteomics is a methodology that is used to quantify the catalytically active subfraction of enzymes present in complex mixtures such as lysates or living cells. To apply this approach for in-cell selectivity profiling of inhibitors of serine proteases, we designed a novel activity-based probe (ABP). This ABP consists of (i) a fluorophosphonate-reactive group, directing the probe toward serine hydrolases or proteases and (ii) an alkyne functionality that can be specifically detected at a later stage with an azide-functionalized reporter group through a Cu(I)-catalyzed coupling reaction ("click chemistry"). This novel ABP was shown to label the active site of several serine proteases with greater efficiency than a previously reported fluorophosphonate probe. More importantly, our probe was cell-permeable and achieved labeling of enzymes within living cells with efficiency similar to that observed for the corresponding lysate fraction. Several endogenous serine hydrolases whose activities were detected upon in-cell labeling were identified by two-dimensional gel and MS analyses. As a proof of principle, cell-permeable inhibitors of an endogenous serine protease (prolyl endopeptidase) were assessed for their potency and specificity in competing for the in situ labeling of the selected enzyme. Altogether these results open new perspectives for safety profiling studies in uncovering potential cellular "side effects" of drugs (unanticipated off-target inhibition or activation) that may be overlooked by standard selectivity profiling methods.

Assessment and validation of the MS/MS fragmentation patterns of the macrolide immunosuppressant everolimus.

Everolimus (40-O-(2-hydroxyethyl)rapamycin, Certican) is a 31-membered macrolide lactone. In lymphocytes, it inhibits the mammalian target of rapamycin (mTOR) and is used as an immunosuppressant after organ transplantation. Due to its instability in pure organic solvents and insufficient HPLC separation, NMR spectroscopy analysis of its metabolite structures is nearly impossible. Therefore, structural identification based on tandem mass spectrometry (MS/MS) and MS(n) fragmentation patterns is critical. Here, we have systematically assessed the fragmentation pattern of everolimus during liquid chromatography (LC)-electrospray ionization (ESI)-MS/MS and validated the fragment structures by (1) comparison with structurally identified derivatives (sirolimus), (2) high-resolution mass spectrometry, (3) elucidation of fragmentation pathways using ion trap mass spectrometry (up to MS(5)) and (4) H/D exchange. In comparison with the structurally related immunosuppressants tacrolimus and sirolimus, our study was complicated by the low ionization efficiency of everolimus. Detection of positive ions gave the best sensitivity, and everolimus and its fragments were mainly detected as sodium adducts. LC-ESI-MS/MS of everolimus in combination with collision-induced dissociation (CID) resulted in a complex fragmentation pattern and the structures of 53 fragments were identified. These detailed fragmentation pathways of everolimus provided the basis for structural elucidation of all everolimus metabolites generated in vivo und in vitro.

Protein complex interactor analysis and differential activity of KDM3 subfamily members towards H3K9 methylation.

Histone modifications play an important role in chromatin organization and gene regulation, and their interpretation is referred to as epigenetic control. The methylation levels of several lysine residues in histone tails are tightly controlled, and JmjC domain-containing proteins are one class of broadly expressed enzymes catalyzing methyl group removal. However, several JmjC proteins remain uncharacterized, gaps persist in understanding substrate recognition, and the integration of JmjC proteins into signaling pathways is just emerging. The KDM3 subfamily is an evolutionarily conserved group of histone demethylase proteins, thought to share lysine substrate specificity. Here we use a systematic approach to compare KDM3 subfamily members. We show that full-length KDM3A and KDM3B are H3K9me1/2 histone demethylases whereas we fail to observe histone demethylase activity for JMJD1C using immunocytochemical and biochemical approaches. Structure-function analyses revealed the importance of a single amino acid in KDM3A implicated in the catalytic activity towards H3K9me1/2 that is not conserved in JMJD1C. Moreover, we use quantitative proteomic analyses to identify subsets of the interactomes of the 3 proteins. Specific interactor candidates were identified for each of the three KDM3 subfamily members. Importantly, we find that SCAI, a known transcriptional repressor, interacts specifically with KDM3B. Taken together, we identify substantial differences in the biology of KDM3 histone demethylases, namely enzymatic activity and protein-protein interactions. Such comparative approaches pave the way to a better understanding of histone demethylase specificity and protein function at a systems level and are instrumental in identifying the more subtle differences between closely related proteins.

From proteomics to systems biology of bacterial pathogens: approaches, tools, and applications.

The hallmark of a systems biology approach is the integration of computational tools with experimental data encompassing multiple classes of biomolecules across different functional levels. Equally important as the availability of reasonably comprehensive information at the gene, protein, and metabolite levels is the development of adequate analysis and visualization tools to reduce the inherent complexity to interpretable dimensions. In this paper, we describe the integration of a 2-D gel-based proteome map of Staphylococcus aureus Mu50 with genomic and transcriptomic information through a customized data integration and user interface built on the Ensembl genome browser. We illustrate its application and potential through the analysis of a defined system perturbation caused by a mutation in the formyltransferase gene. We envision that this software package, which we called Insieme, can support the development of novel antibiotics by allowing a systems-based view of the bacterial response pathways.

Evaluation of biomarker discovery approaches to detect protein biomarkers of acute renal allograft rejection.

Management of host responses to allografts by immunosuppressive therapy is the cornerstone of transplantation medicine, but it is still deficient in one important element: biomarkers that are readily accessible and predict the fate of the transplant early, specifically, and reliably. Using a Brown Norway (BN)-to-Lewis rat renal allograft model of kidney transplantation, this study aims at evaluating two proteomic approaches to discover biomarkers for acute rejection: SELDI-MS technology and 2D gel electrophoresis combined with mass spectrometry. Several novel potential serum biomarkers have been identified for follow up. Overall, the conclusion is that apparently at the serum protein level, dramatic changes only occur at a stage where kidney function is already severely affected. Multivariate analysis of serum profiles suggests that there is an ensemble of subtle changes, comprising a proteomic signature of acute rejection at an early stage, a more detailed evaluation of which might provide novel opportunities for the diagnosis of acute rejection. Profiling of the excreted proteins indicates that urine might even present the earliest signs of the rejection process.