iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer

For proteomic analysis using tandem mass spectrometry, linear ion trap instruments provide unsurpassed sensitivity but unreliably detect low mass peptide fragments, precluding their use with iTRAQ reagent-labeled samples. Although the popular LTQ linear ion trap supports analyzing iTRAQ reagent-labeled peptides via pulsed Q dissociation, PQD, its effectiveness remains questionable. Using a standard mixture, we found careful tuning of relative collision energy necessary for fragmenting iTRAQ reagent-labeled peptides, and increasing microscan acquisition and repeat count improves quantification but identifies somewhat fewer peptides. We developed software to calculate abundance ratios via summing reporter ion intensities across spectra matching to each protein, thereby providing maximized accuracy. Testing found that results closely corresponded between analysis using optimized LTQ-PQD settings plus our software and using a Qstar instrument. Thus, we demonstrate the effectiveness of LTQ-PQD analyzing iTRAQ reagent-labeled peptides, and provide guidelines for successful quantitative proteomic studies.     

iTRAQ experimental design for plasma biomarker discovery

There is considerable interest in using mass spectrometry for biomarker discovery in human blood plasma. We investigated aspects of experimental design for large studies that require analysis of multiple sample sets using iTRAQ reagents for sample multiplexing and quantitation. Immunodepleted plasma samples from healthy volunteers were compared to immunodepleted plasma from patients with osteoarthritis in eight separate iTRAQ experiments. Our analyses utilizing ProteinPilot software for peptide identification and quantitation showed that the methodology afforded excellent reproducibility from run to run for determining protein level ratios (coefficient of variation 11.7%), in spite of considerable quantitative variances observed between different peptides for a given protein. Peptides with high variances were associated with lower intensity iTRAQ reporter ions, while immunodepletion prior to sample analysis had a negligible affect on quantitative variance. We examined the influence of different reference samples, such as pooled samples or individual samples on calculating quantitative ratios. Our findings are discussed in the context of optimizing iTRAQ experimental design for robust plasma-based biomarker discovery.     

Improved method of phosphopeptides enrichment using biphasic phosphate‐binding tag/C18 tip for versatile analysis of phosphorylation dynamics

A number of factors including low stoichiometry of phosphorylation, ion suppression, and reduced peptide backbone fragmentation interfere with precise identification of proteins in phosphoproteomic analysis by MS. Therefore, enrichment of phosphopeptides is an important process for subsequent mass spectrometric analysis. Here, we have developed a simple and efficient method for phosphopeptides enrichment, which employs a biphasic phosphate‐binding tag (Phos‐tag)/C18 tip consisting of overlaid Phos‐tag on the C18 resin in a pipet tip. The improvement in selectivity for phosphopeptides was achieved by using a 40% ACN solution under the phosphopeptides binding conditions. We also assessed the adequacy of Phos‐tag/C18 tip for quantitative phosphoproteomic analysis using the iTRAQ technology. After protein digestion and subsequent iTRAQ labeling, interfering substances including excess iTRAQ reagent were directly removed by Phos‐tag/C18 tip in a single step. Applying this method, phosphoproteomic analysis of HeLa cells stimulated with tumor necrosis factor ‐α was rapidly and successfully achieved.     

Technical, experimental, and biological variations in isobaric tags for relative and absolute quantitation (iTRAQ)

We assess the reliability of isobaric-tags for relative and absolute quantitation (iTRAQ), based on different types of replicate analyses taking into account technical, experimental, and biological variations. In total, 10 iTRAQ experiments were analyzed across three domains of life involving Saccharomyces cerevisiae KAY446, Sulfolobus solfataricus P2, and Synechocystis sp. PCC 6803. The coverage of protein expression of iTRAQ analysis increases as the variation tolerance increases. In brief, a cutoff point at +/-50% variation (+/-0.50) would yield 88% coverage in quantification based on an analysis of biological replicates. Technical replicate analysis produces a higher coverage level of 95% at a lower cutoff point of +/-30% variation. Experimental or iTRAQ variations exhibit similar behavior as biological variations, which suggest that most of the measurable deviations come from biological variations. These findings underline the importance of replicate analysis as a validation tool and benchmarking technique in protein expression analysis.     

Model studies on iTRAQ modification of peptides: sequence-dependent reaction specificity

A multiplexed peptide quantification strategy using the iTRAQ reagent has been described for relative measurements of peptides in digested protein mixtures. To validate the chemical specificity of the iTRAQ reaction, we have performed a detailed study of iTRAQ reactivity with two sets of synthetic peptides. The first set of peptides had sequences of Tyr-Xaa-Ser-Glu-Gly-Leu-Ser-Lys and Tyr-Xaa-Ser-Glu-Tyr-Leu-Ser-Lys where Xaa = Ala, Pro, Trp, Tyr, or Glu and was designed to study the extent of O-acylation by iTRAQ, especially hydroxyl-containing residues in different positions. The second set of peptides included Ala-Ser-Glu-His-Ala-Xaa-Tyr-Gly where Xaa = Ser, Thr, or Tyr and was selected to investigate the effect of histidyl residues separated by one amino acid residue from seryl, tyrosyl, or threonyl residues. Our findings indicated that, in addition to variable levels of O-acylation of nonsequence-specific hydroxyl-containing residues, significant sequence-specific O-acylation of seryl, threonyl, and tyrosyl hydroxyls occurred when separated one residue removed from a histidyl residue, that is, (Tyr/Ser)-Xaa-His or His-Xaa-(Tyr/Ser/Thr). This behavior was verified by a separate spiking experiment of one of the first set of peptides into Escherichia coli protein extracts, followed by retention time targeted LC-MS/MS to demonstrate the occurrence of modifications in a complex mixture. These sequence-dependent O-acylation modifications can be confounding factors to accurate MS quantification. Reversal of peptide O-acylation by the iTRAQ reagent can be accomplished by reaction with hydroxylamine with virtually no cleavage of N-acylation and is a recommended modification of the iTRAQ protocol for many applications.     

Increased abundance of proteins involved in phytosiderophore production in boron-tolerant barley

Boron (B) phytotoxicity affects cereal-growing regions worldwide. Although B-tolerant barley (Hordeum vulgare) germplasm is available, molecules responsible for this tolerance mechanism have not been defined. We describe and use a new comparative proteomic technique, iTRAQ peptide tagging (iTRAQ), to compare the abundances of proteins from B-tolerant and -intolerant barley plants from a 'Clipper' x 'Sahara' doubled-haploid population selected on the basis of a presence or absence of two B-tolerance quantitative trait loci. iTRAQ was used to identify three enzymes involved in siderophore production (Iron Deficiency Sensitive2 [IDS2], IDS3, and a methylthio-ribose kinase) as being elevated in abundance in the B-tolerant plants. Following from this result, we report a potential link between iron, B, and the siderophore hydroxymugineic acid. We believe that this study highlights the potency of the iTRAQ approach to better understand mechanisms of abiotic stress tolerance in cereals, particularly when applied in conjunction with bulked segregant analysis.     

Integrating titania enrichment,iTRAQ labeling,and Orbitrap CID‐HCD for global identification and quantitative analysis of phosphopeptides

Recent advances in MS instrumentation and progresses in phosphopeptide enrichment, in conjunction with more powerful data analysis tools, have facilitated unbiased characterization of thousands of site‐specific phosphorylation events. Combined with stable isotope labeling by amino acids in cell culture metabolic labeling, these techniques have made it possible to quantitatively evaluate phosphorylation changes in various physiological states in stable cell lines. However, quantitative phosphoproteomics in primary cells and tissues remains a major technical challenge due to the lack of adequate techniques for accurate quantification. Here, we describe an integrated strategy allowing for large scale quantitative profiling of phosphopeptides in complex biological mixtures. In this technique, the mixture of proteolytic peptides was subjected to phosphopeptide enrichment using a titania affinity column, and the purified phosphopeptides were subsequently labeled with iTRAQ reagents. After further fractionation by strong‐cation exchange, the peptides were analyzed by LC‐MS/MS on an Orbitrap mass spectrometer, which collects CID and high‐energy collisional dissociation (HCD) spectra sequentially for peptide identification and quantitation. We demonstrate that direct phosphopeptide enrichment of protein digests by titania affinity chromatography substantially improves the efficiency and reproducibility of phosphopeptide proteomic analysis and is compatible with downstream iTRAQ labeling. Conditions were optimized for HCD normalized collision energy to balance the overall peptide identification and quantitation using the relative abundances of iTRAQ reporter ions. Using this approach, we were able to identify 3557 distinct phosphopeptides from HeLa cell lysates, of which 2709 were also quantified from HCD scans.     

Diffprot - software for non-parametric statistical analysis of differential proteomics data

Mass spectrometry-based global proteomics experiments generate large sets of data that can be converted into useful information only with an appropriate statistical approach. We present Diffprot - a software tool for statistical analysis of MS-derived quantitative data. With implemented resampling-based statistical test and local variance estimate, Diffprot allows to draw significant results from small scale experiments and effectively eliminates false positive results. To demonstrate the advantages of this software, we performed two spike-in tests with complex biological matrices, one label-free and one based on iTRAQ quantification; in addition, we performed an iTRAQ experiment on bacterial samples. In the spike-in tests, protein ratios were estimated and were in good agreement with theoretical values; statistical significance was assigned to spiked proteins and single or no false positive results were obtained with Diffprot. We compared the performance of Diffprot with other statistical tests - widely used t-test and non-parametric Wilcoxon test. In contrast to Diffprot, both generated many false positive hits in the spike-in experiment. This proved the superiority of the resampling-based method in terms of specificity, making Diffprot a rational choice for small scale high-throughput experiments, when the need to control the false positive rate is particularly pressing.     

Identification of carbonylated proteins from enriched rat skeletal muscle mitochondria using affinity chromatography-stable isotope labeling and tandem mass spectrometry

We describe a strategy for the identification of carbonylated proteins from complex protein mixtures that combines biotin hydrazide labeling of protein carbonyl groups, avidin affinity chromatography, multiplexed iTRAQ reagent stable isotope labeling, and analysis using pulsed Q dissociation (PQD) operation on an LTQ linear ion trap mass spectrometer. This strategy provided the ability to distinguish biotin hydrazide labeled, avidin purified, carbonylated proteins from non-carbonylated background proteins with affinity for the avidin column, derived from a control sample. Applying this strategy to the identification of crudely enriched rat skeletal muscle mitochondrial protein isolates, we generated a catalogue of over 200 carbonylated proteins by virtue of their quantitative enrichment compared to the control sample. The catalogue contains many mitochondrial localized proteins shown to be susceptible to carbonyl modification for the first time, including numerous transmembrane proteins involved in oxidative phosphorylation. Other oxidative modifications (e.g. nitrosylation, hydroxylation) were also identified on many of the carbonylated proteins, providing further evidence of the susceptibility of these proteins to oxidative damage. The results also demonstrate the utility of PQD operation on the LTQ instrument for quantitative analysis of iTRAQ reagent-labeled peptide mixtures, as well as the quantitative reproducibility of the avidin-affinity enrichment method.     

Bothrops jararaca venom proteome rearrangement upon neonate to adult transition

The pharmacological activities displayed by Bothrops jararaca venom undergo a significant ontogenetic shift. Similarly, the diet of this species changes from ectothermic prey in early life to endothermic prey in adulthood. In this study we used large and representative newborn and adult venom samples consisting of pools from 694 and 110 specimens, respectively, and demonstrate a significant ontogenetic shift in the venom proteome complexity of B. jararaca. 2-DE coupled to MS protein identification showed a clear rearrangement of the toxin arsenal both in terms of the total proteome, as of the glycoproteome. N-glycosylation seems to play a key role in venom protein variability between newborn and adult specimens. Upon the snake development, the subproteome of metalloproteinases undergoes a shift from a P-III-rich to a P-I-rich profile while the serine proteinase profile does not vary significantly. We also used isobaric tag labeling (iTRAQ) of venom tryptic peptides for the first time to examine the quantitative changes in the venom toxins of B. jararaca upon neonate to adult transition. The iTRAQ analysis showed changes in various toxin classes, especially the proteinases. Our study expands the in-depth understanding of venom complexity variation particularly with regard to toxin families that have been associated with envenomation pathogenesis.     

Virtual Expert Mass Spectrometrist: iTRAQ tool for database‐dependent search,quantitation and result storage

A frequent goal of MS‐based proteomics experiments nowadays is to quantify changes in the abundance of proteins across several biological samples. The iTRAQ labeling method is a powerful technique; when combined with LC coupled to MS/MS it allows relative quantitation of up to eight different samples simultaneously. Despite the usefulness of iTRAQ current software solutions have limited functionality and require the combined use of several software programs for analysis of the data from different MS vendors. We developed an integrated tool, now available in the virtual expert mass spectrometrist (VEMS) program, for database‐dependent search of MS/MS spectra, quantitation and database storage for iTRAQ‐labeled samples. VEMS also provides useful alternative report types for large‐scale quantitative experiments. The implemented statistical algorithms build on quantitative algorithms previously used in proposed iTRAQ tools as described in detail herein. We propose a new algorithm, which provides more accurate peptide ratios for data that show an intensity‐dependent saturation. The accuracy of the proposed iTRAQ algorithm and the performance of VEMS are demonstrated by comparing results from VEMS, MASCOT and PEAKS Q obtained by analyzing data from a reference mixture of six proteins. Users can download VEMS and test data from “ http://www.portugene.com/software.html ”.     

Performance of isobaric and isotopic labeling in quantitative plant proteomics

Mass spectrometry has become indispensable for peptide and protein quantification in proteomics studies. When proteomics technologies are applied to understand the biology of plants, two-dimensional gel electrophoresis is still the prevalent method for protein fractionation, identification, and quantitation. In the present work, we have used LC-MS to compare an isotopic (ICPL) and isobaric (iTRAQ) chemical labeling technique to quantify proteins in the endosperm of Ricinus communis seeds at three developmental stages (IV, VI, and X). Endosperm proteins of each stage were trypsin-digested in-solution, and the same amount of peptides was labeled with ICPL and iTRAQ tags in two orders (forward and reverse). Each sample was submitted to nanoLC coupled to an LTQ-Orbitrap high-resolution mass spectrometer. Comparing labeling performance, iTRAQ was able to label 99.8% of all identified unique peptides, while 94.1% were labeled by ICPL. After statistical analysis, it was possible to quantify 309 (ICPL) and 321 (iTRAQ) proteins, from which 95 are specific to ICPL, 107 to iTRAQ, and 214 common to both labeling strategies. We noted that the iTRAQ quantification could be influenced by the tag. Even though the efficiency of the iTRAQ and ICPL in protein quantification depends on several parameters, both labeling methods were able to successfully quantify proteins present in the endosperm of castor bean during seed development and, when combined, increase the number of quantified proteins.     

iTRAQ is a useful method to screen for membrane-bound proteins differentially expressed in human natural killer cell types

We are interested in the biological as well as the molecular processes involved in natural killer (NK) cell development and function. Determining the proteomic complement could be a useful tool in predicting cellular function and fate. For the first time shown here, we have utilized iTRAQ, a new method that allows identification and quantification of proteins between multiple samples, to determine the expression of membrane-bound proteins in two previously characterized human NK cell populations. One population was derived from umbilical cord blood (UCB) stem cells (CD34+38-Lin-) and the other from expanded CD3-depleted adult peripheral blood. iTRAQ was employed for multiplex peptide labeling of proteins from fractionated membranes followed by two-dimensional high-performance liquid chromatography (2D-HPLC), and tandem mass spectrometry was used to identify protein signatures. We were able to identify and quantify differences in expression levels of 400-800 proteins in a typical experiment. Ontology analysis showed the majority of the proteins to be involved in cell signaling, nucleic acid binding, or mitochondrial function. Nearly all proteins were associated with the plasma membrane, membrane-bound organelle (lysosome or mitochondria), or nucleus. We found several novel proteins highly expressed in UCB stem cell derived NK cells compared to adult NK cells including CD9, alpha-2 macroglobulin, brain abundant signaling protein (BASP1), and allograft inflammatory factor-1 (AIF-1). In addition, we were able to confirm several of our iTRAQ results by RT-PCR, Western blot, and fluorescence-activated cell-sorting (FACS) analysis. This is the first demonstration and verification using iTRAQ to screen for membrane-bound protein differences in human NK cells and represents a powerful new tool in the field of proteomics.     

Identification of proteolytic cleavage sites by quantitative proteomics

The identification of natural substrates and their cleavage sites is pivotal to defining proteolytic pathways. Here we report a novel strategy for the identification of the signature of proteolytic cleavage events based on quantitative proteomics. Lysine residues in proteins are blocked by guanidination so that free N-terminals can be labeled with amine-specific iTRAQ reagents. The quantitative nature of iTRAQ reagents allows us to distinguish N-terminals newly formed by proteolytic treatment (neoepitopes) from original N-terminals in proteins. Proteins are digested with trypsin and analyzed using MALDI-TOF/TOF mass spectrometry. Peptides labeled with iTRAQ reagents are distinguished from other peptides by exhibiting intense signature ions in tandem mass spectrometry analysis. A corresponding data acquisition strategy was developed to specifically analyze iTRAQ tagged N-terminal peptides. To validate the procedure, we examined a set of recombinant Escherichia coli proteins that have predicted caspase-3 cleavage motifs. The protein mixture was treated with active or inactive caspase-3 and subsequently labeled with two different iTRAQ reagents. Mass spectrometric analysis located 10 cleavage sites, all corresponding to caspase-3 consensus. Spiking caspase-cleaved substrate into a human cell lysate demonstrated the high sensitivity of the procedure. Moreover, we were able to identify proteolytic cleavage products associated with the induction of cell-free apoptosis. Together, these data reveal a novel application for iTRAQ technology for the detection of proteolytic substrates.     

Isobaric Labeling and Data Normalization without Requiring Protein Quantitation

Isobaric multiplexed quantitative proteomics can complement high-resolution sample isolation techniques. Here, we report a simple workflow exponentially modified protein abundance index (emPAI)-MW deconvolution (EMMOL) for normalizing isobaric reporter ratios within and between experiments, where small or unknown amounts of protein are used. EMMOL deconvolutes the isobaric tags for relative and absolute quantification (iTRAQ) data to yield the quantity of each protein of each sample in the pool, a new approach that enables the comparison of many samples without including a channel of reference standard. Moreover, EMMOL allows using a sufficient quantity of control sample to facilitate the peptide fractionation (isoelectric-focusing was used in this report), and mass spectrometry MS/MS sequencing yet relies on the broad dynamic range of iTRAQ quantitation to compare relative protein abundance. We demonstrated EMMOL by comparing four pooled samples with 20-fold range differences in protein abundance and performed data normalization without using prior knowledge of the amounts of proteins in each sample, simulating an iTRAQ experiment without protein quantitation prior to labeling. We used emPAI,¹ the target protein MW, and the iTRAQ reporter ratios to calculate the amount of each protein in each of the four channels. Importantly, the EMMOL-delineated proteomes from separate iTRAQ experiments can be assorted for comparison without using a reference sample. We observed no compression of expression in iTRAQ ratios over a 20-fold range for all protein abundances. To complement this ability to analyze minute samples, we report an optimized iTRAQ labeling protocol for using 5 μg protein as the starting material.     

A technically detailed and pragmatic protocol for quantitative serum proteomics using iTRAQ

Blood is recognised as a highly important source of disease-related biomarkers, and proteomic approaches for identifying novel blood-borne biomarkers are in demand. The complexity and dynamic protein concentration range of plasma/serum however complicates the analysis process. A number of strategies for simplification of blood prior to proteomic analysis have been developed. In addition, methods for quantifying the levels of proteins in samples, such as isobaric tags for relative and absolute quantification (iTRAQ) are emerging. However, the successful application of these procedures is not always straightforward and technical hurdles must be overcome. Here we provide a technically detailed working protocol for iTRAQ-based quantification of serum proteins following immunodepletion of high abundance proteins. To improve the number of proteins identified and quantified we have introduced several modifications to the standard iTRAQ protocol. We report identifications of 217 proteins (5773 peptides) with a false discovery rate of 1% or 254 proteins with 95% confidence, respectively. Relative quantification data were obtained for 234 (95% confidence) serum proteins, including species present in the concentration range of tissue leakage factors. The samples described here relate to pancreatic cancer; however the protocol can be applied to serum from other control or disease types.     

Post-translational modification of cellular proteins during Leishmania donovani differentiation

The pathogenic intracellular parasites Leishmania donovani cycle between sand fly gut and the human macrophage phagolysosome, differentiating from extracellular promastigotes to intracellular amastigote forms. Using isobaric tagging for relative and absolute quantifications (iTRAQ/LC-MS/MS) proteomic methodology, we recently described the ordered gene expression changes during this process. While protein abundance changes in Leishmania were documented, little is known about their PTMs. Here we used iTRAQ to detect protein phosphorylation, methylation, acetylation, and glycosylation sites throughout differentiation. We found methylation of arginines, aspartic acids, glutamic acids, asparagines, and histidines. Detected acetylation sites included serines and protein N-terminal acetylations on methionines, serines, alanines, and threonines. Phosphorylations were detected on serines and threonines, but not tyrosines. iTRAQ identified novel fucosylation sites as well as hexosylations. We observed quantity changes in some modifications during differentiation, suggesting a role in L. donovani intracellular development. This study is the first high-throughput analysis of PTM sites dynamics during an intracellular parasitic development.