Isotope Tagging Research Articles

Mass spectrometric identification of N-linked glycopeptides using lectin-mediated affinity capture and glycosylation site–specific stable isotope tagging

Protein post-translational modifications (PTMs), such as glycosylation and phosphorylation, are crucial for various signaling and regulatory events, and are therefore an important objective of proteomics research. We describe here a protocol for isotope-coded glycosylation site-specific tagging (IGOT), a method for the large-scale identification of N-linked glycoproteins from complex biological samples. The steps of this approach are: (1) lectin column-mediated affinity capture of glycopeptides generated by protease digestion of protein mixtures; (2) purification of the enriched glycopeptides by hydrophilic interaction chromatography (HIC); (3) peptide-N-glycanase-mediated incorporation of a stable isotope tag, 18O18O, specifically at the N-glycosylation site; and (4) identification of 18O-tagged peptides by liquid chromatography-coupled mass spectrometry (LC/MS)-based proteomics technology. The application of this protocol to the characterization of N-linked glycoproteins from crude extracts of the nematode Caenorhabditis elegans or mouse liver provides a list of hundreds to a thousand glycoproteins and their sites of glycosylation within a week.

Quantitative proteomic approach to study subcellular localization of membrane proteins

As proteins within cells are spatially organized according to their role, knowledge about protein localization gives insight into protein function. Here, we describe the LOPIT technique (localization of organelle proteins by isotope tagging) developed for the simultaneous and confident determination of the steady-state distribution of hundreds of integral membrane proteins within organelles. The technique uses a partial membrane fractionation strategy in conjunction with quantitative proteomics. Localization of proteins is achieved by measuring their distribution pattern across the density gradient using amine-reactive isotope tagging and comparing these patterns with those of known organelle residents. LOPIT relies on the assumption that proteins belonging to the same organelle will co-fractionate. Multivariate statistical tools are then used to group proteins according to the similarities in their distributions, and hence localization without complete centrifugal separation is achieved. The protocol requires approximately 3 weeks to complete and can be applied in a high-throughput manner to material from many varied sources.

Methodology Utilizing MS Signal Intensity and LC Retention Time for Quantitative Analysis and Precursor Ion Selection in Proteomic LC-MALDI Analyses

This study describes a methodology for performing relative quantitation in large-scale proteomic sample comparisons using an LC-MALDI mass spectrometry analytical platform without the use of isotope tagging reagents. The method utilizes replicate analyses of a sample to create a profile of constituent components that are aligned based on LC elution time and mass. Once components from individual runs have been grouped as common "features", the Student's t test is used to determine which components are systematically different between samples. In this study, five HPLC runs of human plasma were compared to five HPLC runs of human serum. About 3889 components were detected in all 10 runs. Of these, 1831 corresponded to approximately 100 known serum proteins, based on MS/MS analysis of one run each from serum and plasma. As expected, fibrinogen alpha, beta, and gamma chains accounted for many of the most significant differences. Therefore, using MALDI, samples containing thousands of peptides can be compared in a minimal amount of time. Moreover, the results of the comparison can be used to guide further MS/MS mode sample interrogation in a result dependent manner.

Covalent Adduction of Human Serum Albumin by 4-Hydroxy-2-Nonenal: Kinetic Analysis of Competing Alkylation Reactions

The electrophilic lipid oxidation product 4-hydroxy-2-nonenal (HNE) reacts with proteins to form covalent adducts, and this damage has been implicated in pathologies associated with oxidative stress. HNE adduction of blood proteins, such as human serum albumin (HSA), yields adducts that may serve as markers of oxidative stress in vivo. We used liquid chromatography-tandem mass spectrometry (LC-MS-MS) and the P-Mod algorithm to map the sites of 10 adducts formed by reaction of HNE with HSA in vitro. The detected adducts included Michael adducts formed at histidine and lysine residues. The selectivity of HNE in competing adduction reactions was evaluated by analysis of kinetics for HNE Michael adduction at six targeted HSA histidine residues. Reaction kinetics were analyzed by selected reaction monitoring in LC-MS-MS using stable isotope tagging with phenyl isocyanate. Rate constants ranged over 4 orders of magnitude, with the order of reactivity being H242 > H510 > H67 > H367 > H247 approximately K233. The most reactive target, H242, is located in a fatty acid- and drug binding cavity in subdomain IIa of HSA and appears to be a hot-spot for HNE modification. Analysis of adduction kinetics together with HSA structure and target residue pK(a) values suggest that location in the hydrophobic binding cavity and low predicted pK(a) of H242 account for its high reactivity toward HNE. H242 adducts may be preferred products of adduction by lipophilic electrophiles and may comprise a family of biomarkers for oxidative stress.

The role of prohormone convertase‐2 in hypothalamic neuropeptide processing: a quantitative neuropeptidomic study

Prohormone convertase (PC) 1/3 and 2 are involved in the generation of neuropeptides from their precursors. A quantitative peptidomic approach was used to explore the role PC2 plays in the processing of hypothalamic peptides. In this approach, extracts from mice lacking PC2 activity and from wild-type littermates were labeled with isotopic tags, combined, fractionated on a reverse phase HPLC column, and analyzed by electrospray ionization mass spectrometry. Altogether, 53 neuropeptides or other peptides derived from secretory pathway proteins were identified and sequenced using tandem mass spectrometry. These peptides arise from 21 distinct proteins: proenkephalin, proopiomelanocortin, prodynorphin, protachykinin A and B, procholecystokinin, promelanin-concentrating hormone, proneurotensin, proneuropeptide Y, provasopressin, pronociceptin/orphanin, prothyrotropin-releasing hormone, cocaine- and amphetamine-regulated transcript, chromogranin A and B, secretogranin II, prohormone convertase 1 and 2, propeptidyl-amidating monooxygenase, and proteins designated proSAAS and VGF. Approximately one third of the peptides found in wild-type mice were not detectable in PC2 knock-out mice, and another third were present at levels ranging from 25 to 75% of wild-type levels. Comparison of the cleavage sites suggests that sequences with a Trp, Tyr and/or Pro in the P1' or P2' position, or a basic residue in the P3 position, are preferentially cleaved by PC2 and not by other enzymes present in the secretory pathway.

A Quantitative Analysis of Arabidopsis Plasma Membrane Using Trypsin-catalyzed 18O Labeling

Typical mass spectrometry-based protein lists from purified fractions are confounded by the absence of tools for evaluating contaminants. In this report, we compare the results of a standard survey experiment using an ion trap mass spectrometer with those obtained using dual isotope labeling and a Q-TOF mass spectrometer to quantify the degree of enrichment of proteins in purified subcellular fractions of Arabidopsis plasma membrane. Incorporation of a stable isotope, either H(2)(18)O or H(2)(16)O, during trypsinization allowed relative quantification of the degree of enrichment of proteins within membranes after phase partitioning with polyethylene glycol/dextran mixtures. The ratios allowed the quantification of 174 membrane-associated proteins with 70 showing plasma membrane enrichment equal to or greater than ATP-dependent proton pumps, canonical plasma membrane proteins. Enriched proteins included several hallmark plasma membrane proteins, such as H(+)-ATPases, aquaporins, receptor-like kinases, and various transporters, as well as a number of proteins with unknown functions. Most importantly, a comparison of the datasets from a sequencing "survey" analysis using the ion trap mass spectrometer with that from the quantitative dual isotope labeling ratio method indicates that as many as one-fourth of the putative survey identifications are biological contaminants rather than bona fide plasma membrane proteins.

Proteomic analyses to identify novel therapeutic targets for the treatment of advanced prostate cancer.

At present there is no cure for advanced prostate cancer once it progresses to an androgen independent stage. Hormonal therapy, radiotherapy, and chemotherapy all have limited durations of efficacy for men diagnosed with androgen independent disease and patients will succumb over a period of several months to two years. The androgen receptor (AR) has been suspected to play an important role in the mechanism of progression to androgen independence. This is because the AR is a transcription factor that 'normally' mediates the effects of androgen to regulate expression of genes involved in proliferation and survival of prostate cells. Thus identifying and characterizing the proteins that interact with the AR to facilitate an activated receptor is of critical importance. Proteomic approaches such as isotope-coded affinity tags (ICAT), isotope Tags for Relative and Absolute Quantification (iTRAQ)(TM), Stable Isotope Labeling with Amino acids in Cell culture (SILAC), Tandem Affinity Purification (TAP) of tagged proteins (TAP-tag) and Multidimensional Protein Identification Technology (MudPIT) provide large scale unbiased strategies and have not been previously applied to identify proteins that interact with the AR. Here an example of the power of these proteomic approaches to identify potential therapeutic targets for prostate cancer is provided. Application of MudPIT identified 82 peptides in endogenous complexes immunoprecipitated with the AR from prostate cancer cells. Identification of these novel proteins may ultimately lead to the development of better therapies for the treatment or prevention of advanced prostate cancer.

A Quantitative Results-driven Approach to Analyzing Multisite Protein Phosphorylation

Multisite protein phosphorylation appears to be quite common. Nevertheless our understanding of how multiple phosphorylation events regulate the function of a protein is limited in many cases. The ability to measure temporal changes in the site-specific phosphorylation profile of a protein in response to a given stimulus or cellular activity would provide an immediate indication of the functional significance of any phosphorylation site to a given process. Here we describe a mass spectrometry-based method to identify functionally relevant phosphorylation sites on a protein. It combines stable isotope labeling with a highly selective mass spectrometry analysis to detect and quantitate phosphorylation sites in response to a cellular signal. This approach requires no a priori knowledge of the phosphorylation state of the protein, does not require purification of phosphopeptides, and reliably detects substoichiometric levels of phosphorylation. Following a review of the quantitative results, only those phosphorylation sites that show a change in relative abundance are selected for identification and further study. We used this results-driven approach to study phosphorylation of the budding yeast transcription factor Pho4 in response to phosphate starvation. Phosphorylation of Pho4 on five cyclin-dependent kinase (Cdk) consensus sites has been shown to regulate the transcriptional activity of Pho4 in response to changes in environmental phosphate levels. Here we show that in phosphate-rich medium Pho4 is phosphorylated on at least 15 distinct sites including the five Cdk sites described previously. In excellent agreement with the known mechanism for regulation of Pho4 we found that phosphorylation at all five of the Cdk sites was repressed in phosphate-depleted medium. In addition to these five sites, we identified four novel phosphorylation sites that were also responsive to changes in phosphate availability. Selecting a limited number of Pho4 phosphorylation sites, we performed a more detailed kinetic analysis using an isotope-free strategy. We used LC-MS with selected reaction monitoring to greatly improve the accuracy, sensitivity, and dynamic range of the subsequent experiments. A detailed analysis of the cell-based phosphorylation at the selected Pho4 sites confirmed an apparent site preference for the Pho80-Pho85 cyclin-cyclin-dependent kinase complex.

Neuroproteomics: Relevance to anxiety disorders

Despite advances in the treatment of anxiety disorders, there is a need for medications with greater efficacy and fewer side effects. Advances in techniques to facilitate high throughput, mass analysis of proteins potentially allows for new drug targets, with a shift in focus from membrane receptor proteins and enzymes of neurotransmitter metabolism to molecules in intracellular signal transduction and other pathways. A computerized literature search was done to collect studies on recently developed proteomic techniques and their application in psychiatric research. Particular techniques, such as two-dimensional electrophoresis, two-dimensional differential gel electrophoresis, isotope-coded affinity tags, and isotope tags for relative and absolute quantification, are reviewed. In addition, a combination of these techniques with MALDI-TOF/TOF and ESI-Q-TOF mass spectrometry analysis is discussed in relation to possible novel signaling pathways relevant to anxiety disorders, and to the development of biomarkers for the evaluation of these conditions.

Quantitative imaging of cells with multi-isotope imaging mass spectrometry (MIMS)—Nanoautography with stable isotope tracers

We describe some technical aspects of the application of multi-isotope imaging mass spectrometry (MIMS) to biological research, particularly the use of isotopic tags to localize and measure their incorporation into intracellular compartments. We touch on sample preparation, on image formation, on drift correction and on extraction of quantitative data from isotope ratio imaging. We insist on the wide variety of sample types that can be used, ranging from whole cells prepared directly on Si supports, to thin sections of cells and tissues on Si supports, to ultrathin TEM sections on carbon-coated grid. We attempt to dispel the myth of difficulties in sample preparation, which we view as a needless deterrent to the application of MIMS to the general biological community. We present protocols for the extraction of isotope ratio data from mass images. We illustrate the benefits of using sequential image plane acquisition followed by the application of an autocorrelation algorithm (nanotracking) to remove the effects of specimen drift. We insist on the advantages to display the isotope ratios as hue saturation intensity images.

Mapping the Arabidopsis organelle proteome

A challenging task in the study of the secretory pathway is the identification and localization of new proteins to increase our understanding of the functions of different organelles. Previous proteomic studies of the endomembrane system have been hindered by contaminating proteins, making it impossible to assign proteins to organelles. Here we have used the localization of organelle proteins by the isotope tagging technique in conjunction with isotope tags for relative and absolute quantitation and 2D liquid chromatography for the simultaneous assignment of proteins to multiple subcellular compartments. With this approach, the density gradient distributions of 689 proteins from Arabidopsis thaliana were determined, enabling confident and simultaneous localization of 527 proteins to the endoplasmic reticulum, Golgi apparatus, vacuolar membrane, plasma membrane, or mitochondria and plastids. This parallel analysis of endomembrane components has enabled protein steady-state distributions to be determined. Consequently, genuine organelle residents have been distinguished from contaminating proteins and proteins in transit through the secretory pathway.

Methods of quantitative proteomics and their application to plant organelle characterization

Many cell biologists wish to know the subcellular localization of proteins of interest. Proteomics methods have the potential to describe the entire protein content of organelles. However, practical limitations in organelle isolation and analysis of low abundance proteins have meant that organelle proteomics has had, until recently, only limited success. Some examples of quantitative proteomic methods and their use in the study of plant organelle proteomes are discussed here. It is concluded that 2D-difference gel electrophoresis (2D-DIGE) as well as differential isotope tagging strategies coupled to non-gel-based LC-MS are proving useful in this area of research.

Cleavable Hydrophilic Linker for One-Bead-One-Compound Sequencing of Oligomer Libraries by Tandem Mass Spectrometry

We have developed a method for the rapid and unambiguous identification of sequences of hit compounds from one-bead-one-compound combinatorial libraries of peptide and peptoid ligands. The approach uses a cleavable linker that is hydrophilic to help reduce nonspecific binding to biological samples and allows for the attachment of a halogen tag, which greatly facilitates post-screening sequencing by tandem mass spectrometry (MS/MS). The linker is based on a tartaric acid unit, which, upon cleavage from resin, generates a C-terminal aldehyde. This aldehyde can then be derivatized with a bromine-containing amino-oxy compound that serves as an isotope tag for subsequent MS/MS analysis of y-ion fragments. We have applied this linker and method to the syntheses of a number of peptoids that vary in sequence and length and have also demonstrated single-bead sequencing of a peptoid pentamer. The linker is also shown to have very low levels of nonspecific binding to proteins.

Stable Isotope Tagging of Epitopes

Identification of peptides presented in major histocompatibility complex (MHC) class I molecules after viral infection is of strategic importance for vaccine development. Until recently, mass spectrometric identification of virus-induced peptides was based on comparative analysis of peptide pools isolated from uninfected and virus-infected cells. Here we report on a powerful strategy aiming at the rapid, unambiguous identification of naturally processed MHC class I-associated peptides, which are induced by viral infection. The methodology, stable isotope tagging of epitopes (SITE), is based on metabolic labeling of endogenously synthesized proteins during infection. This is accomplished by culturing virus-infected cells with stable isotope-labeled amino acids that are expected to be anchor residues (i.e. residues of the peptide that have amino acid side chains that bind into pockets lining the peptide-binding groove of the MHC class I molecule) for the human leukocyte antigen allele of interest. Subsequently these cells are mixed with an equal number of non-infected cells, which are cultured in normal medium. Finally peptides are acid-eluted from immunoprecipitated MHC molecules and subjected to two-dimensional nanoscale LC-MS analysis. Virus-induced peptides are identified through computer-assisted detection of characteristic, binomially distributed ratios of labeled and unlabeled molecules. Using this approach we identified novel measles virus and respiratory syncytial virus epitopes as well as infection-induced self-peptides in several cell types, showing that SITE is a unique and versatile method for unequivocal identification of disease-related MHC class I epitopes.

Peptidomics: Identification and quantification of endogenous peptides in neuroendocrine tissues

Neuropeptides perform a large variety of functions as intercellular signaling molecules. While most proteomic studies involve digestion of the proteins with trypsin or other proteases, peptidomics studies usually analyze the native peptide forms. Neuropeptides can be studied by using mass spectrometry for identification and quantitation. In many cases, mass spectrometry provides an understanding of the precise molecular form of the native peptide, including post-translational cleavages and other modifications. Quantitative peptidomics studies generally use differential isotopic tags to label two sets of extracted peptides, as done with proteomic studies, except that the Cys-based reagents typically used for quantitation of proteins are not suitable because most peptides lack Cys residues. Instead, a number of amine-specific labels have been created and some of these are useful for peptide quantitation by mass spectrometry. In this review, peptidomics techniques are discussed along with the major findings of many recent studies and future directions for the field.

Peptidomics of Cpe<sup>fat/fat</sup> Mouse Hypothalamus and Striatum: Effect of Chronic Morphine Administration

Chronic morphine administration is known to affect several neuropeptide systems, and this could contribute to the behavioral effects of opiates. To quantitate global changes in neuropeptide levels upon chronic morphine administration, we took advantage of a method that allows selective isolation of neuropeptides from brains of mice lacking carboxypeptidase E (Cpefat/fat mice), a critical enzyme in the generation of many neuroendocrine peptides. We used a differential labeling procedure with stable isotopic tags and mass spectrometry to quantitate the relative changes in a number of hypothalamic and striatal peptides in Cpefat/fat mice chronically treated with morphine. A total of 27 distinct peptides were detected in hypothalamus and striatum. Of these, 27 were identified by mass spectrometry-based sequencing, 1 was tentatively identified by the mass and charge, and 9 were not identified. The identified peptides included fragments of proenkephalin, prothyrotropin-releasing hormone, secretogranin II, chromogranin Aand B, protachykinin B, provasopressin, promelanin concentrating hormone, and pro-SAAS. Upon morphine administration, although the levels of most of the peptides were unaltered (within a factor of 1.3 to 0.7 compared with saline control), the levels of a small number of peptides did show consistent changes (increased or decreased by 1.3-fold or more) in hypothalamus and/or striatum. Taken together, these results provide interesting insights into endogenous neuropeptide systems that are modulated by morphine and suggest further experiments to link candidate peptides with long-term effects of morphine.

Organellar Proteomics

The zymogen granule (ZG) is the specialized organelle in pancreatic acinar cells for digestive enzyme storage and regulated secretion and has been a model for studying secretory granule functions. In an initial effort to comprehensively understand the functions of this organelle, we conducted a proteomic study to identify proteins from highly purified ZG membranes. By combining two-dimensional gel electrophoresis and two-dimensional LC with tandem mass spectrometry, 101 proteins were identified from purified ZG membranes including 28 known ZG proteins and 73 previously unknown proteins, including SNAP29, Rab27B, Rab11A, Rab6, Rap1, and myosin Vc. Moreover several hypothetical proteins were identified that represent potential novel proteins. The ZG localization of nine of these proteins was further confirmed by immunocytochemistry. To distinguish intrinsic membrane proteins from soluble and peripheral membrane proteins, a quantitative proteomic strategy was used to measure the enrichment of intrinsic membrane proteins through the purification process. The iTRAQ ratios correlated well with known or Transmembrane Hidden Markov Model-predicted soluble or membrane proteins. By combining subcellular fractionation with high resolution separation and comprehensive identification of proteins, we have begun to elucidate zymogen granule functions through proteomic and subsequent functional analysis of its membrane components.

Differential Dimethyl Labeling of N-Termini of Peptides after Guanidination for Proteome Analysis

We describe an enabling technique for proteome analysis based on isotope-differential dimethyl labeling of N-termini of tryptic peptides followed by microbore liquid chromatography (LC) matrix-assisted laser desorption and ionization (MALDI) mass spectrometry (MS). In this method, lysine side chains are blocked by guanidination to prevent the incorporation of multiple labels, followed by N-terminal labeling via reductive amination using d(0),(12)C-formaldehyde or d(2),(13)C-formaldehyde. Relative quantification of peptide mixtures is achieved by examining the MALDI mass spectra of the peptide pairs labeled with different isotope tags. A nominal mass difference of 6 Da between the peptide pair allows negligible interference between the two isotopic clusters for quantification of peptides of up to 3000 Da. Since only the N-termini of tryptic peptides are differentially labeled and the a(1) ions are also enhanced in the MALDI MS/MS spectra, interpretation of the fragment ion spectra to obtain sequence information is greatly simplified. It is demonstrated that this technique of N-terminal dimethylation (2ME) after lysine guanidination (GA) or 2MEGA offers several desirable features, including simple experimental procedure, stable products, using inexpensive and commercially available reagents, and negligible isotope effect on reversed-phase separation. LC-MALDI MS combined with this 2MEGA labeling technique was successfully used to identify proteins that included polymorphic variants and low abundance proteins in bovine milk. In addition, by analyzing a mixture of two equal amounts of milk whey fraction as a control, it is shown that the measured average ratio for 56 peptide pairs from 14 different proteins is 1.02, which is very close to the theoretical ratio of 1.00. The calculated percentage error is 2.0% and relative standard deviation is 4.6%.

N-terminal isotope tagging with propionic anhydride: Proteomic analysis of myogenic differentiation of C2C12 cells

N-Terminal isotope tagging (NIT) is an important proteomic tool for quantifying proteins in complex mixtures. Here we describe a modified version of the isotope-coded propionylation procedure of Zhang et al. [Zhang et al., Rapid Commun. Mass Spectom. 16 (2002) 2325], which uses 'light' D0 and 'heavy' D10-propionic anhydride. The method has been extensively modified to improve both the kinetics and overall yield of propionylation. Using albumin as a model protein, the overall variation in quantification yields, calculated using several tryptic peptides, was within +/-10% (S.D. +/-0.2) error. The efficacy of the method is demonstrated by the quantitative differences obtained for vimentin in cell lysates of C2C12 myoblasts upon their myogensis to myotubules.

Dynamic Changes in Protein-Protein Interaction and Protein Phosphorylation Probed with Amine-reactive Isotope Tag

We present an approach for quantitative analysis of changes in the composition and phosphorylation of protein complexes by MS. It is based on a new class of stable isotope-labeling reagent, the amine-reactive isotope tag (N-isotag), for specific and quantitative labeling of peptides following proteolytic digestion of proteins. Application of the N-isotag method to the analysis of Rad53, a DNA damage checkpoint kinase in Saccharomyces cerevisiae, led to the identification of dynamic associations between Rad53 and the nuclear transport machinery, histones, and chromatin assembly proteins in response to DNA damage. Over 30 phosphorylation sites of Rad53 and its associated proteins were identified and quantified, and they showed different changes in phosphorylation in response to DNA damage. Interestingly, Ser789 of Rad53 was found to be a major initial phosphorylation site, and its phosphorylation regulates the Rad53 abundance in response to DNA damage. Collectively, these results demonstrate that N-isotag-based quantitative MS is generally applicable to study dynamic changes in the composition of protein complexes and their phosphorylation patterns in a site-specific manner in response to different cell stimuli.