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Current non-gel techniques for analyzing proteomes rely heavily on mass spectrometric analysis of enzymatically digested protein mixtures. Prior to analysis, a highly complex peptide mixture is either separated on a multidimensional chromatographic system or it is first reduced in complexity by isolating sets of representative peptides. Recently, we developed a peptide isolation procedure based on diagonal electrophoresis and diagonal chromatography. We call it combined fractional diagonal chromatography (COFRADIC). In previous experiments, we used COFRADIC to identify more than 800 Escherichia coli proteins by tandem mass spectrometric (MS/MS) analysis of isolated methionine-containing peptides. Here, we describe a diagonal method to isolate N-terminal peptides. This reduces the complexity of the peptide sample, because each protein has one N terminus and is thus represented by only one peptide. In this new procedure, free amino groups in proteins are first blocked by acetylation and then digested with trypsin. After reverse-phase (RP) chromatographic fractionation of the generated peptide mixture, internal peptides are blocked using 2,4,6-trinitrobenzenesulfonic acid (TNBS); they display a strong hydrophobic shift and therefore segregate from the unaltered N-terminal peptides during a second identical separation step. N-terminal peptides can thereby be specifically collected for further liquid chromatography (LC)-MS/MS analysis. Omitting the acetylation step results in the isolation of non-lysine-containing N-terminal peptides from in vivo blocked proteins.

Liquid chromatography-tandem mass spectrometry-based proteomics is a highly sensitive and effective tool to identify and quantify potential biomarkers in repeated dose toxicity studies using primary cell culture systems. In this respect, 8-plex isobaric tag for relative and absolute quantification labeling is the method of choice for relative quantification. After cell lysis and tryptic protein digestion, an individual isobaric tag is added to the amine groups of arginine and lysine. Then, up to eight differentially labeled samples are mixed and analyzed together in a mass spectrometry experiment. During peptide fragmentation in the mass spectrometer, the individual tag intensity of each identified peptide could be detected, reflecting the peptide intensities in the eight samples. The identified peptides are matched to their specific protein using specific search engines and finally to eight individual relative protein quantities. The two-dimensional fractionation of complex peptide mixtures minimizes the possibility of co-fragmentation of peptides from different origin in the mass spectrometer, which leads to a higher number of peptide search matches and therefore to better identification and quantification results.

Cysteine-selective proteomics approaches simplify complex protein mixtures and improve the chance of detecting low abundant proteins. It is possible that cysteinyl-peptide/protein enrichment methods could be coupled to isotopic labeling and isobaric tagging methods for quantitative proteomics analyses in as few as two or up to 10 samples, respectively. Here we present two novel cysteine-selective proteomics approaches: cysteine-selective dimethyl labeling (cysDML) and cysteine-selective combined precursor isotopic labeling and isobaric tagging (cPILOT). CysDML is a duplex precursor quantification technique that couples cysteinyl-peptide enrichment with on-resin stable-isotope dimethyl labeling. Cysteine-selective cPILOT is a novel 12-plex workflow based on cysteinyl-peptide enrichment, on-resin stable-isotope dimethyl labeling, and iodoTMT tagging on cysteine residues. To demonstrate the broad applicability of the approaches, we applied cysDML and cPILOT methods to liver tissues from an Alzheimer’s disease (AD) mouse model and wild-type (WT) controls. From the cysDML experiments, an average of 850 proteins were identified and 594 were quantified, whereas from the cPILOT experiment, 330 and 151 proteins were identified and quantified, respectively. Overall, 2259 unique total proteins were detected from both cysDML and cPILOT experiments. There is tremendous overlap in the proteins identified and quantified between both experiments, and many proteins have AD/WT fold-change values that are within ~20% error. A total of 65 statistically significant proteins are differentially expressed in the liver proteome of AD mice relative to WT. The performance of cysDML and cPILOT are demonstrated and advantages and limitations of using multiple duplex experiments versus a single 12-plex experiment are highlighted.

Stable isotope labeling of peptides by reductive dimethylation (ReDi labeling) is a method to accurately quantify protein expression differences between samples using mass spectrometry. ReDi labeling is performed using either regular (light) or deuterated (heavy) forms of formaldehyde and sodium cyanoborohydride to add two methyl groups to each free amine. Here we demonstrate a robust protocol for ReDi labeling and quantitative comparison of complex protein mixtures. Protein samples for comparison are digested into peptides, labeled to carry either light or heavy methyl tags, mixed, and co-analyzed by LC-MS/MS. Relative protein abundances are quantified by comparing the ion chromatogram peak areas of heavy and light labeled versions of the constituent peptide extracted from the full MS spectra. The method described here includes sample preparation by reversed-phase solid phase extraction, on-column ReDi labeling of peptides, peptide fractionation by basic pH reversed-phase (BPRP) chromatography, and StageTip peptide purification. We discuss advantages and limitations of ReDi labeling with respect to other methods for stable isotope incorporation. We highlight novel applications using ReDi labeling as a fast, inexpensive, and accurate method to compare protein abundances in nearly any type of sample.

This unit describes the stepwise procedure for differential oxygen isotope labeling of peptides and mass spectrometric quantification of relative protein levels in comparative proteomic experiments. The [¹⁸O] labeling of peptides happens at the peptide C-terminus and is achieved via the enzymatic oxygen exchange of tryptic peptides via catalysis of immobilized trypsin. Experimental considerations in effective incorporation and stabilization of the oxygen labels are discussed. Methods for mass spectrometric quantification of peptides with differential [¹⁶O] and [¹⁸O] isotopes are presented.

Here I describe the history of the Stable Isotope Labeling by Amino Acids in Cell culture (SILAC) technology. Although published in 2002, it had already been developed and used in my laboratory for a number of years. From the beginning, it was applied to challenging problems in cell signaling that were considered out of reach for proteomics at the time. It was also used to pioneer proteomic interactomics, time series and dynamic posttranslational modification studies. While initially developed for metabolically accessible systems, such as cell lines, it was subsequently extended to whole animal labeling as well as to clinical applications-in the form or spike-in or super-SILAC. New formats and applications for SILAC labeling continue to be developed, for instance for protein-turnover studies.

A new method for proteolytic stable isotope labeling is introduced to provide quantitative and concurrent comparisons between individual proteins from two entire proteome pools or their subfractions. Two 18O atoms are incorporated universally into the carboxyl termini of all tryptic peptides during the proteolytic cleavage of all proteins in the first pool. Proteins in the second pool are cleaved analogously with the carboxyl termini of the resulting peptides containing two 16O atoms (i.e., no labeling). The two peptide mixtures are pooled for fractionation and separation, and the masses and isotope ratios of each peptide pair (differing by 4 Da) are measured by high-resolution mass spectrometry. Short sequences and/or accurate mass measurements combined with proteomics software tools allow the peptides to be related to the precursor proteins from which they are derived. Relative signal intensities of paired peptides quantify the expression levels of their precursor proteins from proteome pools to be compared, using an equation described in the paper. Observation of individual (unpaired) peptides is mainly interpreted as differential modification or sequence variation for the protein from the respective proteome pool. The method is evaluated here in a comparison of virion proteins for two serotypes (Ad5 and Ad2) of adenovirus, taking advantage of information already available about protein sequences and concentrations. In general, proteolytic 18O labeling enables a shotgun approach for proteomic studies with quantitation capability and is proposed as a useful tool for comparative proteomic studies of very complex protein mixtures.

We describe an approach for the accurate quantification and concurrent sequence identification of the individual proteins within complex mixtures. The method is based on a class of new chemical reagents termed isotope-coded affinity tags (ICATs) and tandem mass spectrometry. Using this strategy, we com- pared protein expression in the yeast Saccharomyces cerevisiae, using either ethanol or galactose as a carbon source. The measured differences in protein expression correlated with known yeast metabolic function under glucose-repressed conditions. The method is redundant if multiple cysteinyl residues are present, and the relative quantification is highly accurate because it is based on stable isotope dilution techniques. The ICAT approach should provide a widely applicable means to compare quantitatively glob- al protein expression in cells and tissues.

Bottom-up proteomics is the analysis of peptides derived from single proteins or protein mixtures, and because each protein generates tens of peptides, there is scope for controlled reduction in complexity. We report here a new strategy for selective isolation of the N-terminal peptides of a protein mixture, yielding positionally defined peptides. The method is tolerant of several fragmentation methods, and the databases that must be searched are substantially less complex.

Data analysis in proteomics is complex and with the extra challenges involved in the interpretation of data from N-terminomics experiments, this can be daunting. Therefore, we have devised a rational pipeline of steps to approach N-terminomics data analysis in a statistically-based and valid manner. We have automated these steps in CLIPPER, an add-on to the Trans-Proteomic Pipeline (TPP). Applying CLIPPER to the analysis of N-terminomics data generated by terminal amine isotopic labeling of substrates (TAILS) enables high confidence peptide to protein assignment, protein N-terminal characterization and annotation, and for protease analysis readily allows protease substrate discovery with high confidence.

While peptide-level labeling using isobaric tag reagents has been widely applied for quantitative proteomics experiments, there are comparatively few reports of protein-level labeling. Intact protein labeling could be broadly applied to quantification experiments utilizing protein-level separations or enrichment schemes. Here, protein-level isobaric labeling was explored as an alternative strategy to peptide-level labeling for serum glycoprotein quantification. Labeling and digestion conditions were optimized by comparing different organic solvents and enzymes. Digestions with Asp-N and trypsin were found highly complementary; combining the results enabled quantification of 30% more proteins than either enzyme alone. Three commercial reagents were compared for protein-level labeling. Protein identification rates were highest with iTRAQ 4-plex when compared to TMT 6-plex and iTRAQ 8-plex using higher-energy collisional dissociation on an Orbitrap Elite mass spectrometer. The compatibility of isobaric protein-level labeling with lectin-based glycoprotein enrichment was also investigated. More than 74% of lectin-bound labeled proteins were known glycoproteins, which was similar to results from unlabeled and peptide-level labeled serum samples. Finally, protein-level and peptide-level labeling strategies were compared for serum glycoprotein quantification. Isobaric protein-level labeling gave comparable identification levels and quantitative precision to peptide-level labeling.

The in vivo roles of meprin metalloproteases in pathophysiological conditions remain elusive. Substrates define protease roles. Therefore, to identify natural substrates for human meprin α and β we employed TAILS (terminal amine isotopic labeling of substrates), a proteomics approach that enriches for N-terminal peptides of proteins and cleavage fragments. Of the 151 new extracellular substrates we identified, it was notable that ADAM10 (a disintegrin and metalloprotease domain-containing protein 10)—the constitutive α-secretase—is activated by meprin β through cleavage of the propeptide. To validate this cleavage event, we expressed recombinant proADAM10 and after preincubation with meprin β, this resulted in significantly elevated ADAM10 activity. Cellular expression in murine primary fibroblasts confirmed activation. Other novel substrates including extracellular matrix proteins, growth factors and inhibitors were validated by western analyses and enzyme activity assays with Edman sequencing confirming the exact cleavage sites identified by TAILS. Cleavages in vivo were confirmed by comparing wild-type and meprin−/− mice. Our finding of cystatin C, elafin and fetuin-A as substrates and natural inhibitors for meprins reveal new mechanisms in the regulation of protease activity important for understanding pathophysiological processes., Cellular and Molecular Life Sciences, 70 (2), ISSN:1420-682X, ISSN:1420-9071

In this paper, we describe the development of a novel stable isotope N-phosphorylation labeling (SIPL) strategy for peptide de novo sequencing and protein quantification based on organic phosphorus chemistry. The labeling reaction could be performed easily and completed within 40 min in a one-pot reaction without additional cleanup procedures. It was found that N-phosphorylation labeling reagents were activated in situ to form labeling intermediates with high reactivity targeting on N-terminus and ε-amino groups of lysine under mild reaction conditions. The introduction of N-terminal-labeled phosphoryl group not only improved the ionization efficiency of peptides and increased the protein sequence coverage for peptide mass fingerprints but also greatly enhanced the intensities of b ions, suppressed the internal fragments, and reduced the complexity of the tandem mass spectrometry (MS/MS) fragmentation patterns of peptides. By using nano liquid chromatography chip/time-of-flight mass spectrometry (nano LC-chip/TOF MS) for the protein quantification, the obtained results showed excellent correlation of the measured ratios to theoretical ratios with relative errors ranging from 0.5% to 6.7% and relative standard deviation of less than 10.6%, indicating that the developed method was reproducible and precise. The isotope effect was negligible because of the deuterium atoms were placed adjacent to the neutral phosphoryl group with high electrophilicity and moderately small size. Moreover, the SIPL approach used inexpensive reagents and was amenable to samples from various sources, including cell culture, biological fluids, and tissues. The method development based on organic phosphorus chemistry offered a new approach for quantitative proteomics by using novel stable isotope labeling reagents.

Proteolysis represents one of the most tightly controlled physiological processes, as proteases create events that will typically commit pathways in an irreversible manner. Despite their implication in nearly all biological systems, our understanding of the role of proteases in disease pathology is often limited. Several approaches to studying proteolytic activity as it relates to biology, pathophysiology, and drug therapy have been published, including the recently described terminal amine isotopic labeling of substrates (TAILS) strategy by Kleifeld and colleagues. Here, we investigate TAILS as a methodology based on targeted enrichment and mass spectrometric detection of endogenous N-terminal peptides from clinically relevant biological samples and its potential to provide quantitative information on proteolysis and elucidation of the protease cleavage sites. While optimizing the most current protocol, by switching to a streamlined one-tube format and simplifying the reagents' removal steps, we demonstrate the advantages over previously published methods and provide solutions to some of the technical challenges presented in the Kleifeld publication. We also identify some of the current and unresolved limitations. We use human plasma as a model system to provide data, which illustrates some of the key analytical parameters of the modified TAILS procedure, including specificity, sensitivity, quantitative precision, and accuracy.

The role of membrane proteins is critical for regulation of physiologic and pathologic cellular processes. Hence it is not surpassing that membrane proteins make ∼70% of contemporary drug targets. Quantitative profiling of membrane proteins using mass spectrometry (MS)-based proteomics is critical in a quest for disease biomarkers and novel cancer drugs. Post-digestion (18)O exchange is a simple and efficient method for differential (18)O/(16)O stable isotope labeling of two biologically distinct specimens, allowing relative quantitation of proteins in complex mixtures when coupled with shotgun MS-based proteomics. Due to minimal sample consumption and unrestricted peptide tagging, (18)O/(16)O stable isotope labeling is particularly suitable for amount-limited protein specimens typically encountered in membrane and clinical proteomics. This chapter describes a protocol that relies on shotgun proteomics for quantitative profiling of the detergent-insoluble membrane proteins isolated from HeLa cells, differentially transfected with plasmids expressing HIV Gag protein and its myristylation-defective N-terminal mutant. Whilst this protocol depicts solubilization of detergent-insoluble membrane proteins coupled with post-digestion (18)O labeling, it is amenable to any complex membrane protein mixture. Described approach relies on solubilization and tryptic digestion of membrane proteins in a buffer containing 60% (v/v) methanol followed by differential (18)O/(16)O labeling of protein digests in 20% (v/v) methanol buffer. After mixing, the differentially labeled peptides are fractionated using off-line strong cation exchange (SCX) followed by on-line reversed phase nanoflow reversed-phase liquid chromatography (nanoRPLC)-MS identification/quantiation of peptides/proteins. The use of methanol-based buffers in the context of the post-digestion (18)O exchange/labeling eliminates the need for detergents or chaotropes that interfere with LC separations and peptide ionization. Sample losses are minimized because solubilization, digestion, and stable isotope labeling are carried out in a single tube, avoiding any sample transfer or buffer exchange between these steps.

Analysis of the sequence and nature of protein N termini has many applications. Defining the termini of proteins for proteome annotation in the Human Proteome Project is of increasing importance. Terminomics analysis of protease cleavage sites in degradomics for substrate discovery is a key new application. Here we describe the step-by-step procedures for performing terminal amine isotopic labeling of substrates (TAILS), a 2- to 3-d (depending on method of labeling) high-throughput method to identify and distinguish protease-generated neo–N termini from mature protein N termini with all natural modifications with high confidence. TAILS uses negative selection to enrich for all N-terminal peptides and uses primary amine labeling-based quantification as the discriminating factor. Labeling is versatile and suited to many applications, including biochemical and cell culture analyses in vitro; in vivo analyses using tissue samples from animal and human sources can also be readily performed. At the protein level, N-terminal and lysine amines are blocked by dimethylation (formaldehyde/sodium cyanoborohydride) and isotopically labeled by incorporating heavy and light dimethylation reagents or stable isotope labeling with amino acids in cell culture labels. Alternatively, easy multiplex sample analysis can be achieved using amine blocking and labeling with isobaric tags for relative and absolute quantification, also known as iTRAQ. After tryptic digestion, N-terminal peptide separation is achieved using a high-molecular-weight dendritic polyglycerol aldehyde polymer that binds internal tryptic and C-terminal peptides that now have N-terminal alpha amines. The unbound naturally blocked (acetylation, cyclization, methylation and so on) or labeled mature N-terminal and neo-N-terminal peptides are recovered by ultrafiltration and analyzed by tandem mass spectrometry (MS/MS). Hierarchical substrate winnowing discriminates substrates from the background proteolysis products and non-cleaved proteins by peptide isotope quantification and bioinformatics search criteria.

Many proteomic experiments require selective labeling of either N- or C-termini of proteins and recovery of terminal peptides. Although N-termini can be selectively labeled, selective labeling of protein C-termini has not been possible due to the difficulty in discriminating between the carboxyl group on the C-terminus versus that on aspartate and glutamate residues. Here we describe the first simple proteomic approach for positive selection of protein C-termini, Profiling Protein C-Termini by Enzymatic Labeling (ProC-TEL). ProC-TEL uses carboxypeptidase Y and other readily available reagents to selectively add an affinity tag to protein C-termini and to capture C-terminal peptides from complex cell lysates for mass spectrometry (MS) identification. Using ProC-TEL, we identify novel C-terminal processing and internal proteolytic cleavage events. These results indicate that ProC-TEL provides a straightforward approach for profiling C-terminal peptides and identifying protein processing in complex biological samples.

Identification of physiologically relevant substrates is still the most challenging part in protease research for understanding the biological activity of these enzymes. The zinc-dependent metalloprotease meprin β is known to be expressed in many tissues with functions in health and disease. Here, we demonstrate unique interactions between meprin β and the amyloid precursor protein (APP). Although APP is intensively studied as a ubiquitously expressed cell surface protein, which is involved in Alzheimer disease, its precise physiological role and relevance remain elusive. Based on a novel proteomics technique termed terminal amine isotopic labeling of substrates (TAILS), APP was identified as a substrate for meprin β. Processing of APP by meprin β was subsequently validated using in vitro and in vivo approaches. N-terminal APP fragments of about 11 and 20 kDa were found in human and mouse brain lysates but not in meprin β(-/-) mouse brain lysates. Although these APP fragments were in the range of those responsible for caspase-induced neurodegeneration, we did not detect cytotoxicity to primary neurons treated by these fragments. Our data demonstrate that meprin β is a physiologically relevant enzyme in APP processing.

Stable isotope labeling based on relative peptide/protein abundance measurements is commonly applied for quantitative proteomics. Recently, trypsin-catalyzed oxygen-18 labeling has grown in popularity due to its simplicity, cost-effectiveness, and its ability to universally label peptides with high sample recovery. In (18)O labeling, both C-terminal carboxyl group atoms of tryptic peptides can be enzymatically exchanged with (18)O, thus providing the labeled peptide with a 4 Da mass shift from the (16)O-labeled sample. Peptide (18)O labeling is ideally suited for generating a labeled "universal" reference sample used for obtaining accurate and reproducible quantitative measurements across large number of samples in quantitative discovery proteomics.

Determining the sequence of protein N-termini and their modifications functionally annotates proteins since translation isoforms, posttranslational modifications, and proteolytic truncations direct localization, activity, and the half-life of most proteins. Here we present in detail the steps required to perform our recently described approach we call Terminal Amine Isotopic Labeling of Substrates (TAILS), a combined N-terminomics and protease substrate discovery degradomics platform for the simultaneous quantitative and global analysis of the N-terminome and proteolysis in one MS/MS experiment. By a 3-day procedure with flexible α- and ɛ-amine labeling and blocking options, TAILS removes internal tryptic and C-terminal peptides by binding to a dendritic polyglycerol aldehyde polymer. Therefore, by negative selection, this enriches for both the N-terminal-labeled peptides and all forms of naturally blocked N-terminal peptides. In addition to providing valuable proteome annotation, the simultaneous analysis of the original mature N-terminal peptides enables these peptides to be used for higher confidence protein substrate identification by two or more different and unique peptides. Second, the analysis of the N-terminal peptides forms a statistical classifier to determine valid isotope ratio cutoffs in order to identify with high-confidence protease-generated neo-N-terminal peptides. Third, quantifying the loss of acetylated or cyclized N-terminal peptides that have been cleaved extends overall substrate coverage. Hence, TAILS allows for the global analysis of the N-terminome and determination of cleavage site motifs and substrates for protease including those with unknown or broad specificity.

Accurate quantification of protein expression in biological systems is an increasingly important part of proteomics research. Incorporation of differential stable isotopes in samples for relative protein quantification has been widely used. Stable isotope incorporation at the peptide level using dimethyl labeling is a reliable, cost-effective and undemanding procedure that can be easily automated and applied in high-throughput proteomics experiments. Although alternative multiplex quantitative proteomics approaches introduce isotope labels at the organism level ('stable isotope labeling by amino acids in cell culture' (SILAC)) or enable the simultaneous analysis of eight samples (isobaric tagging for relative and absolute quantification (iTRAQ)), stable isotope dimethyl labeling is advantageous in that it uses inexpensive reagents and is applicable to virtually any sample. We describe in-solution, online and on-column protocols for stable isotope dimethyl labeling of sample amounts ranging from sub-micrograms to milligrams. The labeling steps take approximately 60–90 min, whereas the full protocol including digestion and (two-dimensional) liquid chromatography-mass spectrometry takes approximately 1.5–3 days to complete.

SummaryThe nearly 600 proteases in the human genome regulate a diversity of biological processes, including programmed cell death. Comprehensive characterization of protease signaling in complex biological samples is limited by available proteomic methods. We have developed a general approach for global identification of proteolytic cleavage sites using an engineered enzyme to selectively biotinylate free protein N termini for positive enrichment of corresponding N-terminal peptides. Using this method to study apoptosis, we have sequenced 333 caspase-like cleavage sites distributed among 292 protein substrates. These sites are generally not predicted by in vitro caspase substrate specificity but can be used to predict other physiological caspase cleavage sites. Structural bioinformatic studies show that caspase cleavage sites often appear in surface-accessible loops and even occasionally in helical regions. Strikingly, we also find that a disproportionate number of caspase substrates physically interact, suggesting that these dimeric proteases target protein complexes and networks to elicit apoptosis.

Labeling of proteins and peptides with stable heavy isotopes (deuterium, carbon-13, nitrogen-15, and oxygen-18) is widely used in quantitative proteomics. These are either incorporated metabolically in cells and small organisms, or postmetabolically in proteins and peptides by chemical or enzymatic reactions. Only upon measurement with mass spectrometers holding sufficient resolution, light, and heavy labeled peptide ions or reporter peptide fragment ions segregate and their intensity values are subsequently used for quantification. Targeted use of these labels or mass tags further leads to specific monitoring of diverse aspects of dynamic proteomes. In this review article, commonly used isotope labeling strategies are described, both for quantitative differential protein profiling and for targeted analysis of protein modifications.

Publisher Summary Several strategies exist for the metabolic labeling for the relative quantification of proteins, depending on the experimental system of interest. This chapter introduces some of the approaches and discusses some practical considerations for the design and execution of metabolic labeling experiments. The performances of two such approaches for characterization of complex proteomic samples are then compared. In a typical isotopic labeling experiment, the goal is to compare protein abundances between two samples. While many different isotopic labels may be selected and introduced in many different ways, the general strategy is the same. At some point during growth or sample preparation, proteins or peptides from each sample are labeled with either “light” or “heavy” forms of a chemical tag. These tags are chemically identical, except that the “heavy” form is made with one or more stable heavy isotopes (13C, 18O, 15N, or 2H), whereas the “light” form contains all elements in their natural abundance states (predominantly 12C, 16O, 14N, and 1H). The approaches for stable isotopic labeling are divided into two groups depending on the stage in sample preparation at which the isotopic label is introduced: in vitro isotopic labeling and in vivo or metabolic labeling. There are three primary experimental approaches for using metabolic labeling to compare the steady-state levels of protein abundance on a proteomic scale: (1) full metabolic labeling, (2) stable isotopic labeling by amino acids in cell culture (SILAC), and (3) partial metabolic labeling.

Labeling proteins with stable isotopes is important for many analytical and structural techniques, including NMR spectroscopy and mass spectrometry. Nonselective labeling, which uniformly labels all amino acids in the protein, may be accomplished with readily available wild-type expression hosts. However, there are often advantages to labeling a specific amino acid, and residue-selective labeling generally requires the use of an expression strain that is auxotrophic for the amino acid in order to efficiently incorporate the isotopic label. The behavior of an auxotrophic strain may be complicated by the regulatory properties of the biosynthetic pathway, by secondary nutritional requirements resulting from disruption of a biosynthetic pathway, and from acquired sensitivity to environmental factors resulting from build-up of metabolic intermediates. As a result, it is important to characterize the phenotype of the each auxotrophic strain in order to optimize its performance as an expression host for selective labeling of proteins. The application of aromatic auxotroph strains of Pichia pastoris to labeling tyrosines in a recombinant protein (galactose oxidase) will be used to illustrate selective-labeling methods.

Although stable isotopic labeling has found widespread use in the proteomics field, its application to carbohydrate quantification has been limited. Herein we report the design, synthesis, and application of a novel series of compounds that allow for the incorporation of isotopic variation within glycan structures. The novel feature of the compounds is the ability to incorporate the isotopes in a controlled manner, allowing for the generation of four tags that vary only in their isotopic content. This allows for the direct comparisons of three samples or triplicate measurements with an internal standard within one mass spectral analysis. Quantitation of partially depolymerized glycosaminoglycan mixtures, as well as N-linked glycans released from fetuin, is used to demonstrate the utility of the tetraplex tagging strategy.

Proteases function as molecular switches in signalling circuits at the cell surface and in the extracellular milieu. In light of the many proteases that are encoded by the genome, and the even larger number of bioactive substrates, it is crucial to identify which proteases cleave a particular substrate and which substrates individual proteases cleave. Elucidating the substrate degradomes of proteases will help us to understand the function of proteases in development and disease and to validate proteases as drug targets.

Elucidation of protease substrate degradomes is essential for understanding the function of proteolytic pathways in the protease web and how proteases regulate cell function. We identified matrix metalloproteinase-2 (MMP-2) cleaved proteins, solubilized pericellular matrix, and shed cellular ectodomains in the cellular context using a new multiplex proteomics approach. Tryptic peptides of intact and cleaved proteins, collected from conditioned culture medium of Mmp2(-/-) fibroblasts expressing low levels of transfected active human MMP-2 at different time points, were amine-labeled with iTRAQ mass tags. Peptide identification and relative quantitation between active and inactive protease transfectants were achieved following tag fragmentation during tandem MS. Known substrates of MMP-2 were identified thereby validating this technique with many novel MMP-2 substrates including the CX(3)CL1 chemokine fractalkine, osteopontin, galectin-1, and HSP90alpha also being identified and biochemically confirmed. In comparison with ICAT-labeling and quantitation, 8-9-fold more proteins and substrates were identified by iTRAQ. "Peptide mapping," the location of multiple peptides identified within a particular protein by iTRAQ in combination with their relative abundance ratios, enabled the domain shed and general location of the cleavage site to be identified in the native cellular substrate. Hence this advance in degradomics cell-based screens for native protein substrates casts new light on the roles for proteases in cell function.

We demonstrate the quantification capability and robustness of a new integrated liquid chromatography-mass spectrometry (LC-MS) approach for large-scale profiling of proteins and metabolites. This approach to determine differential expression relies on linearity of signal vs molecular concentration using electrospray ionization LC-MS, reproducibility of sample processing, a novel normalization strategy and associated data analysis software. No isotopic tagging or spiking of internal standards is required. The method is general and applicable to the proteome and metabolome from all biological fluids and tissues. Small or large numbers of samples can be profiled in a single experiment. Differential profiling of 6000 molecular ions per sample by one-dimensional chromatography LC-MS and 30,000 molecular ions per sample by two-dimensional chromatography LC-MS is demonstrated using rheumatoid arthritis patient samples compared with control samples. A new approach to peptide identification is described that involves building libraries of previously identified peptides, circumventing the need to acquire MS/MS data during profiling. Robustness of the platform was tested by repeating sample preparation and LC-MS differential expression analysis after 10 mo, using independent serum aliquots stored at -80 degrees C. To the best of our knowledge, this is the first demonstration of long-term robustness of a platform for quantitative proteomics and metabolomics.

Labeling with 18O is currently one of the most commonly used methods for incorporating a stable isotopic label into samples for comparative proteomic studies. In this approach, isotopic labeling involves the enzymatic digestion, typically performed with trypsin, of a protein population in 18O-water, which incorporates the stable isotope into the C termini of the newly formed peptides. Although trypsin is often used to facilitate isotopic incorporation after digestion, it is typically overlooked that this same mechanism can lead to isotopic loss even under conditions such as low pH where it is assumed that trypsin is inactive. To examine the role that trypsin plays in isotopic loss, several experiments were performed on the rate of delabeling under conditions relevant to multidimensional proteomic experiments. Results from these studies demonstrate that enzyme-facilitated exchange of 18O in the peptide with 16O in the aqueous solvent was the major process by which the label is removed from the peptides, even under conditions of low pH and temperature where trypsin is thought to be inactive. This study brings the rapid, tryptic-facilitated exchange to the attention of laboratories using this scheme to prevent inaccuracies in quantitative labeling due to loss of the isotopic label.

We generated a comprehensive picture of protease substrates in anti-Fas-treated apoptotic human Jurkat T lymphocytes. We used combined fractional diagonal chromatography (COFRADIC) sorting of protein amino-terminal peptides coupled to oxygen-16 or oxygen-18 differential labeling. We identified protease substrates and located the exact cleavage sites within processed proteins. Our analysis yielded 1,834 protein identifications and located 93 cleavage sites in 71 proteins. Indirect evidence of apoptosis-specific cleavage within 21 additional proteins increased the total number of processed proteins to 92. Most cleavages were at caspase consensus sites; however, other cleavage specificities suggest activation of other proteases. We validated several new processing events by immunodetection and by an in vitro assay using recombinant caspases and synthetic peptides containing presumed cleavage sites. The spliceosome complex appeared a preferred target, as 14 of its members were processed. Differential isotopic labeling further revealed specific release of nucleosomal components from apoptotic nuclei.

The potential capabilities of a new proteolytic 18O labeling method employing peptidyl-Lys metalloendopeptidase (Lys-N) have been demonstrated for use in comparative proteomics. Conditions (pH ≥ 9.5) have been found such that Lys-N incorporates only a single 18O atom into the carboxyl terminus of each proteolytically generated peptide. This 18O labeling method has a major advantage over current protelytic 18O labeling methods that generate a mixture of isotopic isoforms resulting from the incorporation of one or two 18O atoms into each peptide species by the proteases (trypsin, Lys-C, or Glu-C) used. We demonstrate that the single 18O atom incorporation property of Lys-N overcomes the major problem of the current proteolytic 18O labeling methods and provides accurate quantification results for isotopically labeled peptides. Keywords: comparative proteomics • 18O • Lys-N • isotope labeling • mass spectrometry • protein expression

We describe here a multiplexed protein quantitation strategy that provides relative and absolute measurements of proteins in complex mixtures. At the core of this methodology is a multiplexed set of isobaric reagents that yield amine-derivatized peptides. The derivatized peptides are indistinguishable in MS, but exhibit intense low-mass MS/MS signature ions that support quantitation. In this study, we have examined the global protein expression of a wild-type yeast strain and the isogenic upf1Delta and xrn1Delta mutant strains that are defective in the nonsense-mediated mRNA decay and the general 5' to 3' decay pathways, respectively. We also demonstrate the use of 4-fold multiplexing to enable relative protein measurements simultaneously with determination of absolute levels of a target protein using synthetic isobaric peptide standards. We find that inactivation of Upf1p and Xrn1p causes common as well as unique effects on protein expression.

Phenotype in multicellular organisms is the consequence of dynamic metabolic events that occur in a spatially dependent fashion. This spatial and temporal complexity presents challenges for investigating metabolism; creating a need for improved methods that effectively probe biochemical events such as amino acid biosynthesis. Isotopic labeling can provide a temporal-spatial recording of metabolic events through, for example, the description of enriched amino acids in the protein pool. Proteins are therefore an important readout of metabolism and can be assessed with modern mass spectrometers. We compared the measurement of isotopic labeling in MS2 spectra obtained from tandem mass spectrometry under either higher energy collision dissociation (HCD) or collision induced dissociation (CID) at varied energy levels. Developing soybean embryos cultured with or without 13C-labeled substrates, and Escherichia coli MG1655 enriched by feeding 7% uniformly labeled glucose served as a source of biological material for protein evaluation. CID with low energies resulted in a disproportionate amount of heavier isotopologues remaining in the precursor isotopic distribution. HCD resulted in fewer quantifiable products; however deviation from predicted distributions were small relative to the CID-based comparisons. Fragment ions have the potential to provide information on the labeling of amino acids in peptides, but our results indicate that without further development the use of this readout in quantitative methods such as metabolic flux analysis is limited.

Mass spectrometry-based quantitative proteomics, consisting of relative and absolute parts, has been used to discover and validate proteins with key functions related to physiological and pathological processes. Currently, stable isotope dilution-multiple reaction monitoring-mass spectrometry (SID-MRM-MS) is the most commonly used method for the absolute determination of proteins in a biological sample. A prerequisite for this method is obtaining internal standards with isotope labels. Although many approaches have been developed for the labeling and preparation of internal peptides, expensive stable isotope labeling coupled with SID-MRM-MS has limited the application and development of an absolute quantitative method. Recently, a low-cost strategy using metal-tag labeling and MS has been developed for relative quantification of peptides or proteins. The introduction of labeling using metal tags has the merits of allowing multiple labeling and enlarging the mass shift to overcome the overlap of adjacent isotope clusters. However, most papers described MRM-MS for protein absolute quantification based on the metal in its peptides labelled with metal by inductively coupled plasma mass spectrometry (ICP MS) but not on its peptides labelled with metal. In this work, a novel approach based on metal-tag labeling coupled with MRM-MS was established for the absolute quantification of peptides or proteins. The principle of the method is that a bifunctional chelator, 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid bearing an N-hydroxysuccinimide ester (DOTA-NHS ester), is used to modify the N-termini of signature peptides from a target protein, and the modified peptides then chelate a certain metal, such as thulium, to form metal-tagged peptides (Tm-DOTA-P). Internal peptides are chemically synthesized and labeled with another metal, such as terbium (Tb-DOTA-P), as the internal standard. Both the Tb-DOTA- and Tm-DOTA-labeled peptides in samples can be analysed via MRM-MS. The experimental results show that the accuracy (%RE) and precision (%RSD) of the approach are both below 15%, and the lower limit of quantification (LOQ) is 0.8 fmol μL(-1), with good linearity (R(2)0.99) observed covering the range of 2 orders of magnitude. Furthermore, one protein, enolase, in an extract from Thermoanaerobacter tengcongensis was successfully quantified, which demonstrates that this novel absolute quantification method is a new strategy for simple, rapid, low-cost and accurate absolute protein quantification in a complex biological sample.

Astacins are secreted and membrane-bound metalloproteases with clear associations to many important pathological and physiological processes. Yet with only a few substrates described their biological roles are enigmatic. Moreover, the lack of knowledge of astacin cleavage site specificities hampers assay and drug development. Using PICS (proteomic identification of protease cleavage site specificity) and TAILS (terminal amine isotopic labeling of substrates) degradomics approaches >3000 cleavage sites were proteomically identified for five different astacins. Such broad coverage enables family-wide determination of specificities N- and C-terminal to the scissile peptide bond. Remarkably, meprin α, meprin β, and LAST_MAM proteases exhibit a strong preference for aspartate in the peptide (P)1′ position because of a conserved positively charged residue in the active cleft subsite (S)1′. This unparalleled specificity has not been found for other families of extracellular proteases. Interestingly, cleavage specificity is also strongly influenced by proline in P2′ or P3′ leading to a rare example of subsite cooperativity. This specificity characterizes the astacins as unique contributors to extracellular proteolysis that is corroborated by known cleavage sites in procollagen I+III, VEGF (vascular endothelial growth factor)-A, IL (interleukin)-1β, and pro-kallikrein 7. Indeed, cleavage sites in VEGF-A and pro-kallikrein 7 identified by terminal amine isotopic labeling of substrates matched those reported by Edman degradation. Moreover, the novel substrate FGF-19 was validated biochemically and shown to exhibit altered biological activity after meprin processing.

Determining the relative abundances of proteins in biological systems is an important aspect of proteomics. Quantitation provides the possibility to unravel the often subtle molecular differences that regulate biological processes in cells and organisms. A common method to analyze differences in protein expression in complex samples is differential stable isotopic labeling combined with 2D-LC-MS separation. In such experiments, proteins or peptides from different samples are labeled with different stable isotopes and their relative amounts are determined from the peptide ion intensities using mass spectrometry. When human tissue samples are investigated, chemical stable isotope labeling strategies instead of metabolic labeling strategies are required. However, biological variation in protein expression between individuals is a key concern. Here we describe a method that allows for fully automated quantitative proteome analysis; involving desalting, triplex stable isotopic dimethyl labeling and multi-dimensional strong cation exchange/reversed phase separation of peptides prior to mass spectrometric analysis that can be applied to complex samples such as human tissue lysates. We highlight the usability of the method by characterizing the extent of biological variation between the proteomes of primary human leukocytes from three healthy donors. Using our method we were able to quantify 967 proteins with a minimum of 2 peptides, revealing very limited biological variation between the donors. The discovery is noteworthy considering the presence of significant endogenous protease activity, originating primarily from the enzyme neutrophil elastase. This dataset represents the largest quantitative dataset for human leukocytesproteins, which was made possible by the use of an automated labeling strategy.

The Data described here provide the in depth proteomic assessment of the human dental pulp proteome and N-terminome (Eckhard et al., 2015) [1]. A total of 9 human dental pulps were processed and analyzed by the positional proteomics technique TAILS (Terminal Amine Isotopic Labeling of Substrates) N-terminomics. 38 liquid chromatography tandem mass spectrometry (LC-MS/MS) datasets were collected and analyzed using four database search engines in combination with statistical downstream evaluation, to yield the by far largest proteomic and N-terminomic dataset of any dental tissue to date. The raw mass spectrometry data and the corresponding metadata have been deposited in ProteomeXchange with the PXD identifier ; Supplementary Tables described in this article are available via Mendeley Data (10.17632/555j3kk4sw.1).

One of the most commonly used methods for high-resolution two-dimensional polyacrylamide gel electrophoresis (PAGE) has been analysis of proteins during their synthesis in vivo or in vitro in cell or tissue culture or in in vitro translation systems. These methods can also be used to analyze proteins undergoing posttranslational modification, e.g., glycosylation. The high specific activity of [35S]methionine has made this a popular reagent for radiolabeling proteins and is a sensitive method used to analyze many proteins in a variety of experimental systems. Other radiolabeled amino acids or mixes of several of these have also been used successfully to analyze synthesis of proteins. As with other methods of protein identification, isotopic labeling methods have certain advantages and limitations. It is important to appreciate these factors in all experimental designs.

The protease ADAMTS7 functions in the extracellular matrix (ECM) of the cardiovascular system. However, its physiological substrate specificity and mechanism of regulation remain to be explored. To address this, we conducted an unbiased substrate analysis using terminal amine isotopic labeling of substrates (TAILS). The analysis identified candidate substrates of ADAMTS7 in the human fibroblast secretome, including proteins with a wide range of functions, such as collagenous and noncollagenous extracellular matrix proteins, growth factors, proteases, and cell-surface receptors. It also suggested that autolysis occurs at Glu-729–Val-730 and Glu-732–Ala-733 in the ADAMTS7 Spacer domain, which was corroborated by N-terminal sequencing and Western blotting. Importantly, TAILS also identified proteolysis of the latent TGF-β–binding proteins 3 and 4 (LTBP3/4) at a Glu-Val and Glu-Ala site, respectively. Using purified enzyme and substrate, we confirmed ADAMTS7-catalyzed proteolysis of recombinant LTBP4. Moreover, we identified multiple additional scissile bonds in an N-terminal linker region of LTBP4 that connects fibulin-5/tropoelastin and fibrillin-1–binding regions, which have an important role in elastogenesis. ADAMTS7-mediated cleavage of LTBP4 was efficiently inhibited by the metalloprotease inhibitor TIMP-4, but not by TIMP-1 and less efficiently by TIMP-2 and TIMP-3. As TIMP-4 expression is prevalent in cardiovascular tissues, we propose that TIMP-4 represents the primary endogenous ADAMTS7 inhibitor. In summary, our findings reveal LTBP4 as an ADAMTS7 substrate, whose cleavage may potentially impact elastogenesis in the cardiovascular system. We also identify TIMP-4 as a likely physiological ADAMTS7 inhibitor.