A method is described for the preparation of substrate microarrays that allow for the rapid determination of protease substrate specificity. Peptidyl coumarin substrates, synthesized on solid support using standard techniques, are printed onto glass slides using DNA microarraying equipment. The linkage from the peptide to the slide is formed through a chemoselective reaction, resulting in an array of uniformly displayed fluorogenic substrates. The arrays can be treated with proteases to yield substrate specificity profiles. Standard instrumentation for visualization of microarrays can be used to obtain comparisons of the specificity constants for all of the prepared substrates. The utility of these arrays is demonstrated by the selective cleavage of preferred substrates with trypsin, thrombin, and granzyme B, and by assessing the extended substrate specificity of thrombin using a microarray of 361 different peptidyl coumarin substrates.
Histone deacetylases (HDACs) are key regulators of gene expression that require assembly into larger protein complexes for activity. Efforts to understand how associated proteins modulate the function of HDACs would benefit from new technologies that evaluate HDAC activity in native biological systems. Here, we describe an active site-directed chemical probe for profiling HDACs in native proteomes and live cells. This probe, designated SAHABPyne, contains structural elements of the general HDAC inhibitor suberoylanilide hydroxamic acid (SAHA), as well as benzophenone and alkyne moieties to effect covalent modification and enrichment of HDACs, respectively. Both class I and II HDACs were identified as specific targets of SAHA-BPyne in proteomes. Interestingly, multiple HDAC-associated proteins were also enriched by SAHA-BPyne, even after denaturation of probe-labeled proteomes. These data indicate that certain HDAC-associated proteins are directly modified by SAHA-BPyne, placing them in close proximity to HDAC active sites where they would be primed to regulate substrate recognition and activity. We further show that SAHABPyne can be used to measure differences in HDAC content and complex assembly in human disease models. This chemical proteomics probe should thus prove valuable for profiling both the activity state of HDACs and the binding proteins that regulate their function.cancer
A novel microarray-based proteolytic profiling assay enabled the rapid determination of protease substrate specificities with minimal sample and enzyme usage. A 722-member library of fluorogenic protease substrates of the general format Ac-Ala-X-X-(Arg/Lys)-coumarin was synthesized and microarrayed, along with fluorescent calibration standards, in glycerol nanodroplets on microscope slides. The arrays were then activated by deposition of an aerosolized enzyme solution, followed by incubation and fluorometric scanning. The specificities of human blood serine proteases (human thrombin, factor Xa, plasmin, and urokinase plasminogen activator) were examined. The arrays provided complete maps of protease specificity for all of the substrates tested and allowed for detection of cooperative interactions between substrate subsites. The arrays were further utilized to explore the conservation of thrombin specificity across species by comparing the proteolytic fingerprints of human, bovine, and salmon thrombin. These enzymes share nearly identical specificity profiles despite approximately 390 million years of divergent evolution. Fluorogenic substrate microarrays provide a rapid way to determine protease substrate specificity information that can be used for the design of selective inhibitors and substrates, the study of evolutionary divergence, and potentially, for diagnostic applications.
Histone deacetylases (HDACs) are key enzymatic regulators of the epigenome and serve as promising targets for anticancer therapeutics. Recently, we developed a photoreactive "clickable" probe, SAHA-BPyne, to report on HDAC activity and complex formation in native biological systems. Here, we investigate the selectivity, sensitivity, and inhibitory properties of SAHA-BPyne and related potential activity-based probes for HDACs. While we identified several probes that are potent HDAC inhibitors and label HDAC complex components in native proteomic preparations, SAHA-BPyne was markedly superior for profiling HDAC activities in live cells. Interestingly, the enhanced performance of SAHA-BPyne as an in situ activity-based probe could not be solely ascribed to potency in HDAC binding, implying that other features of the molecule were key to efficient active site-directed labeling in living systems. Finally, we demonstrate the value of in situ profiling of HDACs by comparing the activity and expression of HDAC1 in cancer cells treated with the cytotoxic agent parthenolide. These results underscore the utility of activity-based protein profiling for studying HDAC function and may provide insight for the future development of click chemistry-based photoreactive probes for the in situ analysis of additional enzyme activities.
Proteases regulate numerous biological processes with a degree of specificity often dictated by the amino acid sequence of the substrate cleavage site. To map protease/substrate interactions, a 722-member library of fluorogenic protease substrates of the general format AcAla-X-X-(Arg/Lys)-coumarin was synthesized (X ؍ all natural amino acids except cysteine) and microarrayed with fluorescent calibration standards in glycerol nanodroplets on glass slides. Specificities of 13 serine proteases (activated protein C, plasma kallikrein, factor VIIa, factor IXa, factor XIa and factor ␣ XIIa, activated complement C1s, C1r, and D, tryptase, trypsin, subtilisin Carlsberg, and cathepsin G) and 11 papain-like cysteine proteases (cathepsin B, H, K, L, S, and V, rhodesain, papain, chymopapain, ficin, and stem bromelain) were obtained from 103,968 separate microarray fluorogenic reactions (722 substrates ؋ 24 different proteases ؋ 6 replicates). This is the first comprehensive study to report the substrate specificity of rhodesain, a papain-like cysteine protease expressed by Trypanasoma brucei rhodesiense, a parasitic protozoa responsible for causing sleeping sickness. Rhodesain displayed a strong P 2 preference for Leu, Val, Phe, and Tyr in both the P 1 ؍ Lys and Arg libraries. Solution-phase microarrays facilitate protease/substrate specificity profiling in a rapid manner with minimal peptide library or enzyme usage. Molecular & Cellular Proteomics 4:626 -636, 2005.Because of their critical roles in biological pathways like hormone activation, proteasomal degradation, and apoptosis, proteases are essential for cellular function and viability. Proteases regulate hormonal activation, cellular homeostasis, apoptosis, and coagulation and play an important role in the pathogenicity and progression of many diseases (1). Proteases comprise one of the largest protein families in organisms from Escherichia coli to humans (2-4). Improved understanding of proteases will provide insight into biological systems and will likely provide a number of important new therapeutic targets (1).To properly function, proteases must preferentially cleave their target substrates in the presence of other proteins. While many factors impact protease substrate selection, one of the key aspects is the complementary nature of the enzymeactive site with the residues surrounding the cleaved bond in the substrate. As such, determination of the residues that comprise the preferred cleavage site of a protease provides critical information regarding substrate selection. Furthermore, determination of substrate specificity also provides a framework for the design of potent and selective inhibitors.Here we exploit solution-phase substrate nanodroplet microarrays (5), in which fluorogenic substrates suspended in glycerol droplets are treated with aerosolized aqueous enzyme solutions, to provide protease substrate specificity profiles (6). These arrays allow high throughput characterization of the preferred residues on the P side (7) of the substrate in a highl...
Alzheimer's Disease (AD) is the most prevalent form of dementia worldwide, yet the development of therapeutics has been hampered by the absence of suitable biomarkers to diagnose the disease in its early stages prior to the formation of amyloid plaques and the occurrence of irreversible neuronal damage. Since oligomeric Aβ species have been implicated in the pathophysiology of AD, we reasoned that they may correlate with the onset of disease. As such, we have developed a novel misfolded protein assay for the detection of soluble oligomers composed of Aβ x-40 and x-42 peptide (hereafter Aβ40 and Aβ42) from cerebrospinal fluid (CSF). Preliminary validation of this assay with 36 clinical samples demonstrated the presence of aggregated Aβ40 in the CSF of AD patients. Together with measurements of total Aβ42, diagnostic sensitivity and specificity greater than 95% and 90%, respectively, were achieved. Although larger sample populations will be needed to confirm this diagnostic sensitivity, our studies demonstrate a sensitive method of detecting circulating Aβ40 oligomers from AD CSF and suggest that these oligomers could be a powerful new biomarker for the early detection of AD.
Diseases associated with the misfolding of endogenous proteins, such as Alzheimer’s disease and type II diabetes, are becoming increasingly prevalent. The pathophysiology of these diseases is not totally understood, but mounting evidence suggests that the misfolded protein aggregates themselves may be toxic to cells and serve as key mediators of cell death. As such, an assay that can detect aggregates in a sensitive and selective fashion could provide the basis for early detection of disease, before cellular damage occurs. Here we report the evolution of a reagent that can selectively capture diverse misfolded proteins by interacting with a common supramolecular feature of protein aggregates. By coupling this enrichment tool with protein specific immunoassays, diverse misfolded proteins and sub-femtomole amounts of oligomeric aggregates can be detected in complex biological matrices. We anticipate that this near-universal approach for quantitative misfolded protein detection will become a useful research tool for better understanding amyloidogenic protein pathology as well as serve as the basis for early detection of misfolded protein diseases.
Some antibodies exhibit elevated viscosity at high concentrations, making them poorly suited for therapeutic applications requiring administration by injection such as subcutaneous or ocular delivery. Here we studied an anti-IL-13/IL-17 bispecific IgG4 antibody, which has anomalously high viscosity compared to its parent monospecific antibodies. The viscosity of the bispecific IgG4 in solution was decreased by only ~30% in the presence of NaCl, suggesting electrostatic interactions are insufficient to fully explain the drivers of viscosity. Intriguingly, addition of arginine-HCl reduced the viscosity of the bispecific IgG4 by ~50% to its parent IgG level. These data suggest that beyond electrostatics, additional types of interactions such as cation-π and/or π-π may contribute to high viscosity more significantly than previously understood. Molecular dynamics simulations of antibody fragments in the mixed solution of free arginine and explicit water were conducted to identify hotspots involved in self-interactions. Exposed surface aromatic amino acids displayed an increased number of contacts with arginine. Mutagenesis of the majority of aromatic residues pinpointed by molecular dynamics simulations effectively decreased the solution’s viscosity when tested experimentally. This mutational method to reduce the viscosity of a bispecific antibody was extended to a monospecific anti-GCGR IgG1 antibody with elevated viscosity. In all cases, point mutants were readily identified that both reduced viscosity and retained antigen-binding affinity. These studies demonstrate a new approach to mitigate high viscosity of some antibodies by mutagenesis of surface-exposed aromatic residues on complementarity-determining regions that may facilitate some clinical applications.
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