Native Proteome Research Articles

Chemoproteomics Reveals Unexpected Lysine/Arginine-Specific Cleavage of Peptide Chains as a Potential Protein Degradation Machinery.

Proteins can undergo oxidative cleavage by in vitro metal-catalyzed oxidation (MCO) in either the α-amidation or the diamide pathway. However, whether oxidative cleavage of polypeptide-chain occurs in biological systems remains unexplored. We describe a chemoproteomic approach to globally and site-specifically profile electrophilic protein degradants formed from peptide backbone cleavages in human proteomes, including the known N-terminal α-ketoacyl products and >1000 unexpected N-terminal formyl products. Strikingly, such cleavages predominantly occur at the carboxyl side of lysine (K) and arginine (R) residues across native proteomes in situ, while MCO-induced oxidative cleavages randomly distribute on peptide/protein sequences in vitro. Furthermore, ionizing radiation-induced reactive oxygen species (ROS) also generate random oxidative cleavages in situ. These findings suggest that the endogenous formation of N-formyl and N-α-ketoacyl degradants in biological systems is more likely regulated by a previously unknown mechanism with a trypsin-like specificity, rather than the random oxidative damage as previously thought. More generally, our study highlights the utility of quantitative chemoproteomics in combination with unrestricted search tools as a viable strategy to discover unexpected chemical modifications of proteins labeled with active-based probes.

Proteomics goes native

When scientists analyze proteins with mass spectrometry, they typically denature the biomolecules, causing the proteins’ biologically relevant forms and composition to disappear. In contrast, so-called native mass spectrometry allows proteins and their complexes to remain intact during analysis. For the past 15 years, though, native mass spectrometry has been relegated to analyzing specific, targeted protein complexes rather than unknown mixtures of them, says Neil L. Kelleher, a professor of chemistry at Northwestern University. Now a team of researchers led by Kelleher and Northwestern’s Philip D. Compton has expanded native mass spectrometry into native proteomics, which they can use in an untargeted discovery mode to analyze endogenous complexes in cells and tissues (Nat. Chem. Biol. 2017, DOI: 10.1038/nchembio.2515). “This technique represents the next step in the evolution of native MS,” Kelleher says. In their new method, the researchers extract protein complexes from cells and tissue, separate them, and analyze them by

Top-down characterization of endogenous protein complexes with native proteomics.

Protein complexes exhibit great diversity in protein membership, post-translational modifications and noncovalent cofactors, enabling them to function as the actuators of many important biological processes. The exposition of these molecular features with current methods lacks either throughput or molecular specificity, ultimately limiting the use of protein complexes as direct analytical targets in a wide range of applications. Here, we apply native proteomics, enabled by a multistage tandem mass spectrometry approach, to characterize 125 intact endogenous complexes and 217 distinct proteoforms derived from mouse heart and human cancer cell lines in discovery mode. The native conditions preserved soluble protein–protein interactions, high-stoichiometry noncovalent cofactors, covalent modifications to cysteines, and, remarkably, superoxide ligands bound to the metal cofactor of superoxide dismutase 2. The data enable precise compositional analysis of protein complexes as they exist in the cell and demonstrate a new approach that uses mass spectrometry as a bridge to structural biology.

Sequence-Based Prediction of Cysteine Reactivity Using Machine Learning

As one of the most intrinsically reactive amino acids, cysteine carries a variety of important biochemical functions, including catalysis and redox regulation. Discovery and characterization of cysteines with heightened reactivity will help annotate protein functions. Chemical proteomic methods have been used to quantitatively profile cysteine reactivity in native proteomes, showing a strong correlation between the chemical reactivity of a cysteine and its functionality; however, the relationship between the cysteine reactivity and its local sequence has not yet been systematically explored. Herein, we report a machine learning method, sbPCR (sequence-based prediction of cysteine reactivity), which combines the basic local alignment search tool, truncated composition of k-spaced amino acid pair analysis, and support vector machine to predict cysteines with hyper-reactivity based on only local sequence features. Using a benchmark set compiled from hyper-reactive cysteines in human proteomes, our method can achieve a prediction accuracy of 98%, a precision of 95%, and a recall ratio of 89%. We utilized these governing features of local sequence motifs to expand the prediction to potential hyper-reactive cysteines in other proteomes deposited in the UniProt database. We validated our predictions in Escherichia coli by activity-based protein profiling and discovered a hyper-reactive cysteine from a functionally uncharacterized protein, YecH. Biochemical analysis suggests that the hyper-reactive cysteine might be involved in metal binding. Our computational method provides a large inventory of potential hyper-reactive cysteines in proteomes and is highly complementary to other experimental approaches to guidesystematic annotation of protein functions in the postgenome era.

Effect of Processing Intensity on Immunologically Active Bovine Milk Serum Proteins.

Consumption of raw cow’s milk instead of industrially processed milk has been reported to protect children from developing asthma, allergies, and respiratory infections. Several heat-sensitive milk serum proteins have been implied in this effect though unbiased assessment of milk proteins in general is missing. The aim of this study was to compare the native milk serum proteome between raw cow’s milk and various industrially applied processing methods, i.e., homogenization, fat separation, pasteurization, ultra-heat treatment (UHT), treatment for extended shelf-life (ESL), and conventional boiling. Each processing method was applied to the same three pools of raw milk. Levels of detectable proteins were quantified by liquid chromatography/tandem mass spectrometry following filter aided sample preparation. In total, 364 milk serum proteins were identified. The 140 proteins detectable in 66% of all samples were entered in a hierarchical cluster analysis. The resulting proteomics pattern separated mainly as high (boiling, UHT, ESL) versus no/low heat treatment (raw, skimmed, pasteurized). Comparing these two groups revealed 23 individual proteins significantly reduced by heating, e.g., lactoferrin (log2-fold change = −0.37, p = 0.004), lactoperoxidase (log2-fold change = −0.33, p = 0.001), and lactadherin (log2-fold change = −0.22, p = 0.020). The abundance of these heat sensitive proteins found in higher quantity in native cow’s milk compared to heat treated milk, renders them potential candidates for protection from asthma, allergies, and respiratory infections.

Native Proteomics: A New Approach to Protein Complex Discovery and Characterization

Protein complexes play critical roles in an array of biological processes, including cancer, senescence, and cell cycle arrest. In order to perform these functions, protein complexes exhibit great diversity in protein membership, post‐translational modification and noncovalent cofactors. Given the vital functions and varied composition of these macromolecular assemblies, their identification and structural characterization is foundational to our understanding of normal and disease biology. Thus, examination of cellular products at progressively higher levels of complexity, from peptides to proteins to protein complexes, paints an increasingly complete picture of the actuators of biological systems.Current methodologies for analysis of protein complexes fall into two groups: those that provide detailed characterization of a single target and those that provide low‐level information on a large number of interactions. Examples of the former include X‐ray crystallography, fluorescence imaging, cryo‐electron microscopy, and co‐immunoprecipitation, which are lower‐throughput techniques that can require large amounts of purified and optimized samples. In contrast, the latter category includes the use of tandem mass spectrometry (MS) techniques in a peptide‐based “bottom‐up” methodology. While bottom‐up approaches can provide extensive maps of physical interactions, they often fail to determine stoichiometry or the complete modification states of complex subunits.In this contribution, we describe the first large‐scale study utilizing our new Native Proteomics platform that occupies the space between existing approaches to gain complete molecular detail from relatively small amounts of unpurified endogenous protein complexes. Native proteomics aims to directly identify and characterize proteoforms and the complexes generated from them, which we term multi proteoform complexes (MPCs). Beyond sample preparation and separation strategies that retain native protein structure, the key to Native Proteomics is a 3‐tiered tandem mass spectrometric approach. During this experiment, a single charge state of one intact MPC is isolated and activated to eject one or multiple subunits. Next, activation is performed prior to isolation and each of the ejected monomers is isolated and fragmented individually. This approach yields an intact mass for the entire protein complex, intact masses of the ejected subunits, and backbone fragment ion masses from each fragmented subunit. Thus, in a single experiment, an unknown complex may be identified by its constituent subunits, stoichiometry may be determined from the intact mass coupled with the knowledge of subunit masses, and any additional sources of mass, such as cofactors and other PTMs, can be identified.In our initial dataset, we identified and characterized 125 unique protein complexes ranging in size from 5–316 kDa. Within these complexes, 28 exhibited metal binding events, 2 of which were previously unannotated in UniProt. Further, we characterized small molecule binding events, covalent cofactors, numerous unannotated PTMs on cysteine side chains, endogenous cleavages and 2 examples of stoichiometric regulation of complex assembly. The level of molecular detail that this platform achieves on endogenous material is unparalleled and represents a new strategy that, for the first time, enables protein complexes to be the primary analytical targets in proteomics research.Support or Funding InformationFunding for this project was provided by the W. M. Keck foundation (DT061512) and Northwestern University. OSS and PFD are supported by US National Science Foundation graduate research fellowships (2014171659 and 2015210477, respectively). LFS was supported by the Chemistry of Life Processes Predoctoral training program at Northwestern University. Additional support for the maintenance of the SEMPC from the National Resource for Translational and Developmental Proteomics (GM108569) is acknowledged.

Kinobead and Single-Shot LC-MS Profiling Identifies Selective PKD Inhibitors.

ATP-competitive protein kinase inhibitors are important research tools and therapeutic agents. Because there are >500 human kinases that contain highly conserved active sites, the development of selective inhibitors is extremely challenging. Methods to rapidly and efficiently profile kinase inhibitor targets in cell lysates are urgently needed to discover selective compounds and to elucidate the mechanisms of action for polypharmacological inhibitors. Here, we describe a protocol for microgram-scale chemoproteomic profiling of ATP-competitive kinase inhibitors using kinobeads. We employed a gel-free in situ digestion protocol coupled to nanoflow liquid chromatography-mass spectrometry to profile ∼200 kinases in single analytical runs using as little as 5 μL of kinobeads and 300 μg of protein. With our kinobead reagents, we obtained broad coverage of the kinome, monitoring the relative expression levels of 312 kinases in a diverse panel of 11 cancer cell lines. Further, we profiled a set of pyrrolopyrimidine- and pyrazolopyrimidine-based kinase inhibitors in competition-binding experiments with label-free quantification, leading to the discovery of a novel selective and potent inhibitor of protein kinase D (PKD) 1, 2, and 3. Our protocol is useful for rapid and sensitive profiling of kinase expression levels and ATP-competitive kinase inhibitor selectivity in native proteomes.

Detection of Zn2+ release in nitric oxide treated cells and proteome: dependence on fluorescent sensor and proteomic sulfhydryl groups.

Nitric oxide (NO) is both an important regulatory molecule in biological systems and a toxic xenobiotic. Its oxidation products react with sulfhydryl groups and either nitrosylate or oxidize them. The aerobic reaction of NO supplied by diethylamine NONOate (DEA-NO) with pig kidney LLC-PK1 cells and Zn-proteins within the isolated proteome was examined with three fluorescent zinc sensors, zinquin (ZQ), TSQ, and FluoZin-3 (FZ-3). Observations of Zn2+ labilization from Zn-proteins depended on the specific sensor used. Upon cellular exposure to DEA-NO, ZQ sequestered about 13% of the proteomic Zn2+ as Zn(ZQ)2 and additional Zn2+ as proteome·Zn-ZQ ternary complexes. TSQ, a sensor structurally related to ZQ with lower affinity for Zn2+, did not form Zn(TSQ)2. Instead, Zn2+ mobilized by DEA-NO was exclusively bound as proteome·Zn-TSQ adducts. Analogous reactions of proteome with ZQ or TSQ in vitro displayed qualitatively similar products. Titration of native proteome with Zn2+ in the presence of ZQ resulted in the sole formation of proteome·Zn-ZQ species. This result suggested that sulfhydryl groups are involved in non-specific proteomic binding of mobile Zn2+ and that the appearance of Zn(ZQ)2 after exposure of cells and proteome to DEA-NO resulted from a reduction in proteomic sulfhydryl ligands, favoring the formation of Zn(ZQ)2 instead of proteome·Zn-ZQ. With the third sensor, FluoZin-3, neither Zn-FZ-3 nor proteome·Zn-FZ-3 was detected during the reaction of proteome with DEA-NO. Instead, it reacted independently with DEA-NO with a modest enhancement of fluorescence.

IgV peptide mapping of native Ro60 autoantibody proteomes in primary Sjögren's syndrome reveals molecular markers of Ro/La diversification

We have used high-resolution mass spectrometry to sequence precipitating anti-Ro60 proteomes from sera of patients with primary Sjögren's syndrome and compare immunoglobulin variable-region (IgV) peptide signatures in Ro/La autoantibody subsets. Anti-Ro60 were purified by elution from native Ro60-coated ELISA plates and subjected to combined de novo amino acid sequencing and database matching. Monospecific anti-Ro60 Igs comprised dominant public and minor private sets of IgG1 kappa and lambda restricted heavy and light chains. Specific IgV amino acid substitutions stratified anti-Ro60 from anti-Ro60/La responses, providing a molecular fingerprint of Ro60/La determinant spreading and suggesting that different forms of Ro60 antigen drive these responses. Sequencing of linked anti-Ro52 proteomes from individual patients and comparison with their anti-Ro60 partners revealed sharing of a dominant IGHV3–23/IGKV3–20 paired clonotype but with divergent IgV mutational signatures. In summary, anti-Ro60 IgV peptide mapping provides insights into Ro/La autoantibody diversification and reveals serum-based molecular markers of humoral Ro60 autoimmunity.

Mapping Proteoforms and Protein Complexes From King Cobra Venom Using Both Denaturing and Native Top-down Proteomics

Characterizing whole proteins by top-down proteomics avoids a step of inference encountered in the dominant bottom-up methodology when peptides are assembled computationally into proteins for identification. The direct interrogation of whole proteins and protein complexes from the venom of Ophiophagus hannah (king cobra) provides a sharply clarified view of toxin sequence variation, transit peptide cleavage sites and post-translational modifications (PTMs) likely critical for venom lethality. A tube-gel format for electrophoresis (called GELFrEE) and solution isoelectric focusing were used for protein fractionation prior to LC-MS/MS analysis resulting in 131 protein identifications (18 more than bottom-up) and a total of 184 proteoforms characterized from 14 protein toxin families. Operating both GELFrEE and mass spectrometry to preserve non-covalent interactions generated detailed information about two of the largest venom glycoprotein complexes: the homodimeric l-amino acid oxidase (∼130 kDa) and the multichain toxin cobra venom factor (∼147 kDa). The l-amino acid oxidase complex exhibited two clusters of multiproteoform complexes corresponding to the presence of 5 or 6 N-glycans moieties, each consistent with a distribution of N-acetyl hexosamines. Employing top-down proteomics in both native and denaturing modes provides unprecedented characterization of venom proteoforms and their complexes. A precise molecular inventory of venom proteins will propel the study of snake toxin variation and the targeted development of new antivenoms or other biotherapeutics.

Quantitative deep mapping of the cultured podocyte proteome uncovers shifts in proteostatic mechanisms during differentiation.

The renal filtration barrier is maintained by the renal podocyte, an epithelial postmitotic cell. Immortalized mouse podocyte cell lines-both in the differentiated and undifferentiated state-are widely utilized tools to estimate podocyte injury and cytoskeletal rearrangement processes in vitro. Here, we mapped the cultured podocyte proteome at a depth of more than 8,800 proteins and quantified 7,240 proteins. Copy numbers of proteins mutated in forms of hereditary nephrotic syndrome or focal segmental glomerulosclerosis (FSGS) were assessed. We found that cultured podocytes express abundant copy numbers of endogenous receptors, such as tyrosine kinase membrane receptors, the G protein-coupled receptor (GPCR), NPR3 (ANP receptor), and several poorly characterized GPCRs. The data set was correlated with deep mapping mRNA sequencing ("mRNAseq") data from the native mouse podocyte, the native mouse podocyte proteome and staining intensities from the human protein atlas. The generated data set was similar to these previously published resources, but several native and high-abundant podocyte-specific proteins were not identified in the data set. Notably, this data set detected general perturbations in proteostatic mechanisms as a dominant alteration during podocyte differentiation, with high proteasome activity in the undifferentiated state and markedly increased expression of lysosomal proteins in the differentiated state. Phosphoproteomics analysis of mouse podocytes at a resolution of more than 3,000 sites suggested a preference of phosphorylation of actin filament-associated proteins in the differentiated state. The data set obtained here provides a resource and provides the means for deep mapping of the native podocyte proteome and phosphoproteome in a similar manner.

Toward a Functional, ChemoProteomic Interrogation of Kinome and Nucleotide Binding Space

Protein kinases represent the single largest mammalian enzyme family with ~ 518 members in the human proteome and have been implicated in a wide array of complex cellular functions and pathways, ranging from metabolic regulation to tumorigenesis. The physiological functions of the majority these enzymes remain unknown. The central role of protein kinases in signal transduction has generated interest in targeting these enzymes for a wide range of therapeutic indications.We have reported a method for identifying and quantifying protein kinases in any biological sample from any species. The ActivX Activity Based Proteomics technology for kinase relies on acylphosphate nucleotide probes, prepared from biotin and ATP or ADP that react covalently at the ATP binding sites of virtually all known protein kinases. Biotinylated peptide fragments from labeled proteomes are captured, sequenced and identified using a mass‐spectrometry based analysis platform to determine the kinases present and their relative levels. Direct competition between the probes and inhibitors can be measured to determine inhibitor potency and selectivity against native protein kinases, as well as hundreds of other ATPases. The ability to broadly profile kinase activities in native proteomes offers an exciting prospect for both target discovery and inhibitor selectivity profiling.In this presentation, the development of the acylphosphate nucleotide probes and the scope of the reaction with the kinome and other nucleotide binding proteins will be discussed. In addition, other issues that speak to the breadth and versatility of this method will be addressed. The proteome‐specific kinase selectivity by drugs will also be demonstrated. Finally, the potential of the approach in other areas of nucleotide binding space, such as the GTP‐dependent enzymes, will be demonstrated.

Nicotinamide Cofactors Suppress Active-Site Labeling of Aldehyde Dehydrogenases.

Active site labeling by (re)activity-based probes is a powerful chemical proteomic tool to globally map active sites in native proteomes without using substrates. Active site labeling is usually taken as a readout for the active state of the enzyme because labeling reflects the availability and reactivity of active sites, which are hallmarks for enzyme activities. Here, we show that this relationship holds tightly, but we also reveal an important exception to this rule. Labeling of Arabidopsis ALDH3H1 with a chloroacetamide probe occurs at the catalytic Cys, and labeling is suppressed upon nitrosylation and oxidation, and upon treatment with other Cys modifiers. These experiments display a consistent and strong correlation between active site labeling and enzymatic activity. Surprisingly, however, labeling is suppressed by the cofactor NAD(+), and this property is shared with other members of the ALDH superfamily and also detected for unrelated GAPDH enzymes with an unrelated hydantoin-based probe in crude extracts of plant cell cultures. Suppression requires cofactor binding to its binding pocket. Labeling is also suppressed by ALDH modulators that bind at the substrate entrance tunnel, confirming that labeling occurs through the substrate-binding cavity. Our data indicate that cofactor binding adjusts the catalytic Cys into a conformation that reduces the reactivity toward chloroacetamide probes.

Design and development of histone deacetylase (HDAC) chemical probes for cell-based profiling.

Histone deacetylases (HDACs) contribute to regulation of gene expression by mediating higher-order chromatin structures. They assemble into large multiprotein complexes that regulate activity and specificity. We report the development of small molecule probes with class IIa and pan-HDAC activity that contain photoreactive crosslinking groups and either a biotin reporter, or a terminal alkyne handle for subsequent bioorthogonal ligation. The probes retained inhibitory activity against recombinant HDAC proteins and caused an accumulation of acetylated histone and tubulin following cell treatment. The versatility of the probes has been demonstrated by their ability to photoaffinity modify HDAC targets in vitro. An affinity enrichment probe was used in conjunction with mass spectrometry proteomics to isolate HDACs and their interacting proteins in a native proteome. The performance of the probes in recombinant versus cell-based systems highlights issues for the development of chemoproteomic technologies targeting class IIa HDACs in particular.

A proteomic analysis of seeds from Bt-transgenic Brassica napus and hybrids with wild B. juncea.

Transgene insertions might have unintended side effects on the transgenic host, both crop and hybrids with wild relatives that harbor transgenes. We employed proteomic approaches to assess protein abundance changes in seeds from Bt-transgenic oilseed rape (Brassica napus) and its hybrids with wild mustard (B. juncea). A total of 24, 15 and 34 protein spots matching to 23, 13 and 31 unique genes were identified that changed at least 1.5 fold (p < 0.05, Student’s t-test) in abundance between transgenic (tBN) and non-transgenic (BN) oilseed rape, between hybrids of B. juncea (BJ) × tBN (BJtBN) and BJ × BN (BJBN) and between BJBN and BJ, respectively. Eight proteins had higher abundance in tBN than in BN. None of these proteins was toxic or nutritionally harmful to human health, which is not surprising since the seeds are not known to produce toxic proteins. Protein spots varying in abundance between BJtBN and BJBN seeds were the same or homologous to those in the respective parents. None of the differentially-accumulated proteins between BJtBN and BJBN were identical to those between tBN and BN. Results indicated that unintended effects resulted from transgene flow fell within the range of natural variability of hybridization and those found in the native host proteomes.

Native Proteome Extraction Protocol using poloxamer-based adaptive focused sonication

Native Proteome Extraction Protocol using poloxamer-based adaptive focused sonication

Chemical proteomics reveals a γH2AX-53BP1 interaction in the DNA damage response.

DNA double-strand break repair involves phosphorylation of histone variant H2AX (‘γH2AX’), which accumulates in foci at sites of damage. In current models, the recruitment of multiple DNA repair proteins to γH2AX foci depends mainly on recognition of this ‘mark’ by a single protein, MDC1. However, DNA repair proteins accumulate at γH2AX sites without MDC1, suggesting that other ‘readers’ exist. Here, we use a quantitative chemical proteomics approach to profile direct, phospho-selective γH2AX binders in native proteomes. We identify γH2AX binders, including the DNA repair mediator, 53BP1, which we show recognizes γH2AX through its BRCT domains. Furthermore, we investigate targeting of wild-type 53BP1 or a mutant form deficient in γH2AX binding, to chromosomal breaks resulting from endogenous and exogenous DNA damage. Our results show how direct recognition of γH2AX modulates protein localization at DNA damage sites, and suggest how specific chromatin ‘mark’-‘reader’ interactions contribute to essential mechanisms ensuring genome stability.

Substrate-Competitive Activity-Based Profiling of Ester Prodrug Activating Enzymes.

Understanding the mechanistic basis of prodrug delivery and activation is critical for establishing species-specific prodrug sensitivities necessary for evaluating preclinical animal models and potential drug-drug interactions. Despite significant adoption of prodrug methodologies for enhanced pharmacokinetics, functional annotation of prodrug activating enzymes is laborious and often unaddressed. Activity-based protein profiling (ABPP) describes an emerging chemoproteomic approach to assay active site occupancy within a mechanistically similar enzyme class in native proteomes. The serine hydrolase enzyme family is broadly reactive with reporter-linked fluorophosphonates, which have shown to provide a mechanism-based covalent labeling strategy to assay the activation state and active site occupancy of cellular serine amidases, esterases, and thioesterases. Here we describe a modified ABPP approach using direct substrate competition to identify activating enzymes for an ethyl ester prodrug, the influenza neuraminidase inhibitor oseltamivir. Substrate-competitive ABPP analysis identified carboxylesterase 1 (CES1) as an oseltamivir-activating enzyme in intestinal cell homogenates. Saturating concentrations of oseltamivir lead to a four-fold reduction in the observed rate constant for CES1 inactivation by fluorophosphonates. WWL50, a reported carbamate inhibitor of mouse CES1, blocked oseltamivir hydrolysis activity in human cell homogenates, confirming CES1 is the primary prodrug activating enzyme for oseltamivir in human liver and intestinal cell lines. The related carbamate inhibitor WWL79 inhibited mouse but not human CES1, providing a series of probes for analyzing prodrug activation mechanisms in different preclinical models. Overall, we present a substrate-competitive activity-based profiling approach for broadly surveying candidate prodrug hydrolyzing enzymes and outline the kinetic parameters for activating enzyme discovery, ester prodrug design, and preclinical development of ester prodrugs.

A High-Efficiency Cellular Extraction System for Biological Proteomics.

Recent developments in quantitative high-resolution mass spectrometry have led to significant improvements in the sensitivity and specificity of the biochemical analyses of cellular reactions, protein-protein interactions, and small-molecule-drug discovery. These approaches depend on cellular proteome extraction that preserves native protein activities. Here, we systematically analyzed mechanical methods of cell lysis and physical protein extraction to identify those that maximize the extraction of cellular proteins while minimizing their denaturation. Cells were mechanically disrupted using Potter-Elvehjem homogenization, probe- or adaptive-focused acoustic sonication, and were in the presence of various detergents, including polyoxyethylene ethers and esters, glycosides, and zwitterions. Using fluorescence spectroscopy, biochemical assays, and mass spectrometry proteomics, we identified the combination of adaptive focused acoustic (AFA) sonication in the presence of a binary poloxamer-based mixture of octyl-β-glucoside and Pluronic F-127 to maximize the depth and yield of the proteome extraction while maintaining native protein activity. This binary poloxamer extraction system allowed for native proteome extraction comparable in coverage to the proteomes extracted using denaturing SDS or guanidine-containing buffers, including the efficient extraction of all major cellular organelles. This high-efficiency cellular extraction system should prove useful for a variety of cell biochemical studies, including structural and functional proteomics.

Activity‐based proteomics ő applications for enzyme and inhibitor discovery (357.1)

Genome sequencing projects have revealed that eukaryotic and prokaryotic organisms universally possess a huge number of uncharacterized enzymes. The functional annotation of enzymatic pathways thus represents a grand challenge for researchers in the genome era. To address this problem, we have introduced chemical proteomic and metabolomic technologies that globally profile enzyme activities in complex biological systems. These methods include activity‐based protein profiling (ABPP), which utilizes active site‐directed chemical probes to determine the functional state of large numbers of enzymes in native proteomes. In this lecture, I will describe the application of ABPP and complementary proteomic methods to discover and functionally annotate enzyme activities in mammalian physiology and disease. I will also present competitive ABPP platforms for developing selective inhibitors for poorly characterized enzymes and discuss ongoing challenges that face researchers interested in assigning protein function using chemoproteomic methods.