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.     

基于同位素标记相对和绝对定量技术研究耐铬(VI)菌株CM01的蛋白定量组学

【背景】六价铬[Cr(VI)]作为一种高毒性的重金属污染物,用微生物学方法还原Cr(VI)既经济又环保。【目的】探究耐铬菌株CM01中与耐受或还原铬Cr(VI)有关的蛋白或基因,从分子水平上阐述其耐铬Cr(VI)机制。【方法】运用同位素标记相对和绝对定量技术(isobarictagsforrelativeand absolute quantitation techniques,iTRAQ)分析耐铬菌株CM01在有无铬Cr(VI)胁迫下的蛋白表达差异。运用RT-qPCR技术验证4种与代谢途径有关的上调蛋白的m RNA表达量。运用紫外分光光度计测定细胞表面疏水性。【结果】共鉴定到2 570个蛋白,其中存在显著差异的蛋白数为646个,上调蛋白数量343个,下调蛋白数量303个。CM01中的Fe/Mn超氧化物歧化酶、甜菜碱醛脱氢酶、磷酸戊糖途径、磷酸肌醇代谢途径、氨基酸代谢共同参与了菌株对于外源性Cr(VI)的响应机制。RT-qPCR实验结果表明,与代谢途径有关的4种蛋白其基因转录水平和蛋白水平一致。对照组CM01的细胞表面疏水性高于实验组。【结论】初步探索了耐铬菌的Cr(VI)响应机制,为利用微生物治理环境污染提供了理论支持和新的研究思路。     

Evaluation of different multidimensional LC-MS/MS pipelines for isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomic analysis of potato tubers in response to cold storage

Cold-induced sweetening in potato tubers is a costly problem for the food industry. To systematically identify the proteins associated with this process, we employed a comparative proteomics approach using isobaric, stable isotope coded labels to compare the proteomes of potato tubers after 0 and 5 months of storage at 5 °C. We evaluated both high pH reverse phase (hpRP) liquid chromatography (LC) and off-gel electrophoresis (OGE) as first dimension fractionation methods followed by nanoLC-MS/MS, using two high performance mass spectrometry platforms (Q-TOF and Orbitrap). We found that hpRP-LC consistently offered better resolution, reduced expression ratio compression, and a more MS-compatible workflow than OGE and consistently yielded more unique peptide/protein identifications and higher sequence coverage with better quantification. In this study, a total of 4463 potato proteins were identified, of which 46 showed differential expressions during potato tuber cold storage. Several key proteins important in controlling starch-sugar conversion, which leads to cold-induced sweetening, as well as other proteins that are potentially involved in this process, were identified. Our results suggest that the hpRP-RP shotgun approach is a feasible and practical workflow for discovering potential protein candidates in plant proteomic analysis.     

Isobaric tag for relative and absolute quantitation based quantitative proteomics reveals unique urinary protein profiles in patients with preeclampsia

Preeclampsia (PE) is one of the most significant pregnancy‐related hypertensive disorders. Currently, there are no useful markers to predict the onset of the condition in pregnant women. To provide further insights into the pathogenesis of PE and identify biomarkers of the condition, we used isobaric tags for relative and absolute quantitation (iTRAQ) proteomics coupled with 2‐D LC‐MS/MS, to analyze urinary protein profiles from 7 PE patients and 7 normotensive pregnant women. A total of 294 proteins were abnormally expressed in PE patients. Of these, 233 were significantly down‐regulated and 61 proteins were significantly up‐regulated. Bioinformatics analysis using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database, found that the most differentially expressed proteins (DEPs) were involved in coagulation and complement pathways, the renin‐angiotensin system and cell adhesion molecules (CAMs) pathways. We further validated three of the DEPs, including serotransferrin (TF) and complement factor B (CFB) by immunoblottingand serum paraoxonase/arylesterase 1 (PON1) by ELISA using 14 pairs of urine samples from PE patients and normal pregnant women. Taken together, our results provide the basis for further understanding the pathogenesis of PE and identifying predictive biomarkers.     

Multiplex analysis of sphingolipids using amine-reactive tags (iTRAQ)

Ceramides play a crucial role in divergent signaling events, including differentiation, senescence, proliferation, and apoptosis. Ceramides are a minor lipid component in terms of content; thus, highly sensitive detection is required for accurate quantification. The recently developed isobaric tags for relative and absolute quantitation (iTRAQ) method enables a precise comparison of both protein and aminophospholipids. However, iTRAQ tagging had not been applied to the determination of sphingolipids. Here we report a method for the simultaneous measurement of multiple ceramide and monohexosylceramide samples using iTRAQ tags. Samples were hydrolyzed with sphingolipid ceramide N-deacylase (SCDase) to expose the free amino group of the sphingolipids, to which the N-hydroxysuccinimide group of iTRAQ reagent was conjugated. The reaction was performed in the presence of a cleavable detergent, 3-[3-(1,1-bisalkyloxyethyl)pyridine-1-yl]propane-1-sulfonate (PPS) to both improve the hydrolysis and ensure the accuracy of the mass spectrometry analysis performed after iTRAQ labeling. This method was successfully applied to the profiling of ceramides and monohexosylceramides in sphingomyelinase-treated Madin Darby canine kidney (MDCK) cells and apoptotic Jurkat cells.     

Global relative and absolute quantitation in microbial proteomics

Proteomic studies are designed to yield either qualitative information on proteins (identification, distribution, posttranslational modifications, interactions, structure and function) or quantitative information (abundance, distribution within different localizations, temporal changes in abundance due to synthesis and degradation or both). To this end these studies can draw upon a wide range of qualitative and quantitative gel-based and gel-free techniques. This review summarizes current proteomic workflows for global relative or absolute protein quantitation and their application in microbial physiology.     

Isobaric tags for relative and absolute quantification- based comparative proteomics reveals the features of plasma membrane-associated proteomes of pollen grains and pollen tubes from Lilium davidii

Mature pollen grains (PGs) from most plant species are metabolically quiescent. However, once pollinated onto stigma, they quickly hydrate and germinate. A PG can give rise to a vegetative cell-derived polarized pollen tube (PT), which represents a specialized polar cell. The polarized PT grows by the tip and requires interaction of different signaling molecules localized in the apical plasma membrane and active membrane trafficking. The mechanisms underlying the interaction and membrane trafficking are not well understood. In this work, we purified PG and PT plasma-membrane vesicles from Lilium davidii Duch. using the aqueous two-phase partition technique, then enriched plasma membrane proteins by using Brij58 and KCl to remove loosely bound contaminants. We identified 223 integral and membrane-associated proteins in the plasma membrane of PGs and PTs by using isobaric tags for relative and absolute quantification (iTRAQ) and 2-D high-performance liquid chromatography-tandem mass spectrometry. More than 68% of the proteins have putative transmembrane domains and/or lipid-modified motifs. Proteins involved in signal transduction, membrane trafficking and transport are predominant in the plasma-membrane proteome. We revealed most components of the clathrin-dependent endocytosis pathway. Statistical analysis revealed 14 proteins differentially expressed in the two development stages: in PTs, six upregulated and eight downregulated are mainly involved in signaling, transport and membrane trafficking. These results provide novel insights into polarized PT growth.     

Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS

In this paper, we describe the use of iTRAQ (isobaric Tags for Relative and Absolute Quantitation) tags for comparison of protein expression levels between multiple samples. These tags label all peptides in a protein digest before labeled samples are pooled, fractionated and analyzed using mass spectrometry (MS). As the tags are isobaric, the intensity of each peak is the sum of the intensity of this peptide from all samples, providing a moderate enhancement in sensitivity. On peptide fragmentation, amino-acid sequence ions also show this summed intensity, providing a sensitivity enhancement. However, the distinct distribution of isotopes in the tags is such that, on further fragmentation, a tag-specific reporter ion is released. The relative intensities of these ions represent the relative amount of peptide in the analytes. Integration of the relative quantification data for the peptides allows relative quantification of the protein. This protocol discusses the rationale behind design, optimization and performance of experiments, comparing protein samples using iTRAQ chemistries combined with strong cation exchange chromatographic fractionation and MS.     

Two-dimensional liquid chromatography-tandem mass spectrometry coupled with isobaric tags for relative and absolute quantification (iTRAQ) labeling approach revealed first proteome profiles of pulmonary alveolar macrophages infected with porcine reproductive and respiratory syndrome virus

Porcine reproductive and respiratory syndrome (PRRS) has devastated the pig industry worldwide for almost 25 years, and its virus (PRRSV) preferentially infects and replicates in pulmonary alveolar macrophages (PAMs). To discover cellular protein responses in PRRSV-infected PAMs, two-dimensional liquid chromatography-tandem mass spectrometry coupled with isobaric tags for relative and absolute quantification (iTRAQ) labeling was employed to quantitatively identify the differentially expressed proteins between the PRRSV-infected groups and the controls. A total of 160 cellular proteins in PAMs that were significantly altered post-infection were identified. These differentially expressed proteins are related to the biological processes of virus binding, cell structure, signal transduction, cell adhesion, etc., and their interactions. This is the first report that analyzed the cellular protein profile of PRRSV-infected PAMs using iTRAQ technology, and this data provides important information to help understand the host response to PRRSV and to define the cellular requirements for the underlying mechanism of PRRSV replication and pathogenesis.     

Preparation of Human Skeletal Muscle Samples for Proteomic Analysis with Isobaric iTRAQ Labels

Molecular Biology - In the past decade, mass spectrometry studies of skeletal muscles have become common. In this tissue, the abundance of several contractile proteins significantly limits the...     

Quantitative proteomic analysis of G‐protein signalling in Stagonospora nodorum using isobaric tags for relative and absolute quantification

The G protein α‐subunit (Gna1) in the wheat pathogen Stagonospora nodorum has previously been shown to be a critical controlling element in disease ontogeny. In this study, iTRAQ and 2‐D LC MALDI‐MS/MS have been used to characterise protein expression changes in the S. nodorum gna1 strain versus the SN15 wild‐type. A total of 1336 proteins were identified. The abundance of 49 proteins was significantly altered in the gna1 strain compared with the wild‐type. Gna1 was identified as having a significant regulatory role on primary metabolic pathways, particularly those concerned with NADPH synthesis or consumption. Mannitol dehydrogenase was up‐regulated in the gna1 strain while mannitol 1‐phosphate dehydrogenase was down‐regulated providing direct evidence of Gna1 regulation over this enigmatic pathway. Enzymatic analysis and growth assays confirmed this regulatory role. Several novel hypothetical proteins previously associated with stress and pathogen responses were identified as positively regulated by Gna1. A short‐chain dehydrogenase (Sch3) was also significantly less abundant in the gna1 strains. Sch3 was further characterised by gene disruption in S. nodorum by homologous recombination. Functional characterisation of the sch3 strains revealed their inability to sporulate in planta providing a further link to Gna1 signalling and asexual reproduction. These data add significantly to the identification of the regulatory targets of Gna1 signalling in S. nodorum and have demonstrated the utility of iTRAQ in dissecting signal transduction pathways.     

Characterization of multiple myeloma vesicles by label‐free relative quantitation

Multiple myeloma (MM) is a hematological malignancy caused by a microenviromentally aided persistence of plasma cells in the bone marrow. The role that extracellular vesicles (EVs), microvesicles and exosomes, released by MM cells have in cell‐to‐cell communication and signaling in the bone marrow is currently unknown. This paper describes the proteomic content of EVs derived from MM.1S and U266 MM cell lines. First, we compared the protein identifications between the vesicles and cellular lysates of each cell line finding a large overlap in protein identifications. Next, we applied label‐free spectral count quantitation to determine proteins with differential abundance between the groups. Finally, we used bioinformatics to categorize proteins with significantly different abundances into functional groups. The results illustrate the first use of label‐free spectral counting applied to determine relative protein abundances in EVs.     

A Novel Function for Arabidopsis CYCLASE1 in Programmed Cell Death Revealed by Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) Analysis of Extracellular Matrix Proteins

Programmed cell death is essential for plant development and stress adaptation. A detailed understanding of the signal transduction pathways that regulate plant programmed cell death requires identification of the underpinning protein networks. Here, we have used a protagonist and antagonist of programmed cell death triggered by fumonisin B1 as probes to identify key cell death regulatory proteins in Arabidopsis. Our hypothesis was that changes in the abundance of cell death-regulatory proteins induced by the protagonist should be blocked or attenuated by concurrent treatment with the antagonist. We focused on proteins present in the mobile phase of the extracellular matrix on the basis that they are important for cell–cell communications during growth and stress-adaptive responses. Salicylic acid, a plant hormone that promotes programmed cell death, and exogenous ATP, which can block fumonisin B1-induced cell death, were used to treat Arabidopsis cell suspension cultures prior to isobaric-tagged relative and absolute quantitation analysis of secreted proteins. A total of 33 proteins, whose response to salicylic acid was suppressed by ATP, were identified as putative cell death-regulatory proteins. Among these was CYCLASE1, which was selected for further analysis using reverse genetics. Plants in which CYCLASE1 gene expression was knocked out by insertion of a transfer-DNA sequence manifested dramatically increased cell death when exposed to fumonisin B1 or a bacterial pathogen that triggers the defensive hypersensitive cell death. Although pathogen inoculation altered CYCLASE1 gene expression, multiplication of bacterial pathogens was indistinguishable between wild type and CYCLASE1 knockout plants. However, remarkably severe chlorosis symptoms developed on gene knockout plants in response to inoculation with either a virulent bacterial pathogen or a disabled mutant that is incapable of causing disease in wild type plants. These results show that CYCLASE1, which had no known function hitherto, is a negative regulator of cell death and regulates pathogen-induced symptom development in Arabidopsis.Programmed cell death (pcd)¹ is a genetically controlled dismantling of cells, which is indispensable for plant development and stress-adaptive responses. In development, pcd is invoked to facilitate xylem tracheary element differentiation, to remodel leaf shape, and to delete ephemeral cells and organs such as embryonic suspensor cells (1–3). In response to drought stress, pcd is used to break root apical meristem dominance in order to remodel root system architecture as an adaptive response to water deficit (4). Additionally, a specialized form of pcd known as the hypersensitive response kills plant cells at the epicenter of attack by certain pathogens, which activate the effector-triggered immune response (5, 6). A detailed understanding of the signal transduction pathways that trigger, propagate, and terminate plant pcd requires identification of the key components of the underlying protein networks. Our group has been using Arabidopsis cell death induced by fumonisin B1 (FB1) as an experimental system to study plant pcd and identify the key regulatory proteins (6).FB1, a mycotoxin that triggers cell death in both animal and plant cells (8, 9), disrupts sphingolipid biosynthesis via inhibition of ceramide synthase (10). Several proteins directly involved in sphingolipid biosynthesis and metabolism have been shown to regulate FB1-induced plant pcd because of their influence on levels of metabolic intermediates, such as long chain bases (LCBs), which act as second messengers of plant cell death. For example, activity of serine palmitoyltransferase, the enzyme catalyzing the first rate-limiting step in sphingolipid biosynthesis, strongly controls Arabidopsis sensitivity to FB1 (11). Serine palmitoyltransferase has two subunits – LCB1 and LCB2. Resistance to FB1-induced death is manifested in Arabidopsis loss-of-function mutants of LCB1 (12) and LCB2a (13) genes. Overexpression of endogenous Arabidopsis 56 amino acid polypeptides that interact with and stimulate serine palmitoyltransferase activity increases sensitivity to FB1, whereas RNA interference lines have reduced sensitivity to the mycotoxin (11).Although exogenous ceramide can suppress FB1-induced death in animal cells (14), it fails to block cell death in Arabidopsis (15), indicating that other factors work in concert with ceramide depletion in pcd induction in Arabidopsis. Identification of these factors is essential to the understanding of general pcd regulation in plants, given that Arabidopsis responses to FB1 share common features with the pathogen-induced hypersensitive response (15). Clues that may lead to mechanistic details of pcd could arise from focusing on known regulatory signals that control FB1-mediated responses. FB1-induced cell death is regulated by extracellular ATP (eATP) (16) and the plant defense hormone, salicylic acid (SA) (17). NahG transgenic plants, which degrade SA, are resistant to FB1 as are pad4–1 mutants, which have an impaired SA amplification mechanism (17). Mutants that constitutively accumulate greater amounts of SA, cpr1 and cpr6, manifest increased susceptibility to FB1 (17). Thus, SA functions as a positive regulator of FB1-induced pcd. In contrast, eATP is a negative regulator of FB1-triggered pcd in Arabidopsis. Accordingly, FB1 activates eATP depletion prior to onset of death and addition of exogenous ATP to FB1-treated Arabidopsis cell suspension cultures blocks pcd (16). This suggests that SA- and eATP-mediated signaling converge onto the signal transduction cascade activated by FB1 to promote or inhibit pcd, respectively.We have developed an experimental system, which harnesses the effects of exogenous ATP and SA on FB1-induced death, to identify important proteins that regulate Arabidopsis pcd. It utilizes Arabidopsis cell suspension cultures treated with these compounds and proteomic analyses restricted to the mobile phase of the extracellular matrix. The extracellular matrix proteome consists of cell surface proteins fully or partially embedded in the plasma membrane, proteins immobilized in the cell wall, and soluble mobile proteins in the apoplastic fluid – the mobile phase. The rationale for this is predicated on the hypothesis that cells constantly communicate with their neighbors by releasing and sensing signal molecules in the mobile phase (18). Arabidopsis has more than 600 plasma membrane receptor kinases (19) and ∼400 G-protein-coupled receptors (20, 21), which sense extracellular signals at the cell surface and activate a cytoplasmic response. We hypothesize that upon receiving an exogenous chemical, cell–cell signaling is activated either by directly binding the chemical if it has a cell surface receptor, or by modulating signal regulatory proteins in the mobile phase to reset the communication and transmit new signals. Therefore, in this study, we used ATP and SA treatments to identify pcd regulatory proteins in the mobile phase of the Arabidopsis extracellular matrix. We provide a novel extracellular matrix putative cell death regulatory protein network and present evidence validating the role of CYCLASE1 in FB1- and pathogen-induced pcd and the control of disease symptoms.     

Quantitative Proteomic Analysis of Serum from Pregnant Women Carrying a Fetus with Conotruncal Heart Defect Using Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) Labeling

Objective

To identify differentially expressed proteins from serum of pregnant women carrying a conotruncal heart defects (CTD) fetus, using proteomic analysis.

Methods

The study was conducted using a nested case-control design. The 5473 maternal serum samples were collected at 14–18 weeks of gestation. The serum from 9 pregnant women carrying a CTD fetus, 10 with another CHD (ACHD) fetus, and 11 with a normal fetus were selected from the above samples, and analyzed by using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with two-dimensional liquid chromatography-tandem mass spectrometry(2D LC-MS/MS). The differentially expressed proteins identified by iTRAQ were further validated with Western blot.

Results

A total of 105 unique proteins present in the three groups were identified, and relative expression data were obtained for 92 of them with high confidence by employing the iTRAQ-based experiments. The downregulation of gelsolin in maternal serum of fetus with CTD was further verified by Western blot.

Conclusions

The identification of differentially expressed protein gelsolin in the serum of the pregnant women carrying a CTD fetus by using proteomic technology may be able to serve as a foundation to further explore the biomarker for detection of CTD fetus from the maternal serum.     

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 ”.     

Hybridization of pulsed-Q dissociation and collision-activated dissociation in linear ion trap mass spectrometer for iTRAQ quantitation

Coupling of multiplex isobaric tags for relative and absolute quantitation (iTRAQ) to a sensitive linear ion trap (LTQ) mass spectrometer (MS) is a challenging, but highly promising approach for quantitative high-throughput proteomic profiling. Integration of the advantages of pulsed-Q dissociation (PQD) and collision-activated dissociation (CAD) fragmentation methods into a PQD-CAD hybrid mode, together with PQD optimization and data manipulation with a bioinformatics algorithm, resulted in a robust, sensitive and accurate iTRAQ quantitative proteomic workflow. The workflow was superior to the default PQD setting when profiling the proteome of a gastric cancer cell line, SNU5. Taken together, we established an optimized PQD-CAD hybrid workflow in LTQ-MS for iTRAQ quantitative proteomic profiling that may have wide applications in biological and biomedical research.     

Detection of protein modifications and counterfeit protein pharmaceuticals using isotope tags for relative and absolute quantification and matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry: studies of insulins

Isotope tags for relative and absolute quantification (iTRAQ) reagent coupled with matrix-assisted laser desorption/ionization tandem time-of-flight (MALDI-TOF/TOF) mass spectrometric analysis has been evaluated as both a qualitative and quantitative method for the detection of modifications to active pharmaceutical ingredients derived from recombinant DNA technologies and as a method to detect counterfeit drug products. Five types of insulin (human, bovine, porcine, Lispro, and Lantus) were used as model products in the study because of their minor variations in amino acid sequence. Several experiments were conducted in which each insulin variant was separately digested with Glu-C, and the digestate was labeled with one of four different iTRAQ reagents. All digestates were then combined for desalting and MALDI-TOF/TOF mass spectrometric analysis. When the digestion procedure was optimized, the insulin sequence coverage was 100%. Five different types of insulin were readily differentiated, including human insulin (P28K29) and Lispro insulin (K28P29), which differ only by the interchange of two contiguous residues. Moreover, quantitative analyses show that the results obtained from the iTRAQ method agree well with those determined by other conventional methods. Collectively, the iTRAQ method can be used as a qualitative and quantitative technique for the detection of protein modification and counterfeiting.     

Qualitative and quantitative comparison of brand name and generic protein pharmaceuticals using isotope tags for relative and absolute quantification and matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry

The capability of iTRAQ (isotope tags for relative and absolute quantification) reagents coupled with matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry (MALDI-TOF/TOF-MS) as a qualitative and quantitative technique for the analysis of complicated protein pharmaceutical mixtures was evaluated. Mixtures of Somavert and Miacalcin with a small amount of bovine serum albumin (BSA) as an impurity were analyzed. Both Somavert and Miacalcin were qualitatively identified, and BSA was detected at levels as low as 0.8 mol%. Genotropin and Somavert were compared in a single experiment, and all of the distinct amino acid residues from the two proteins were readily identified. Four somatropin drug products (Genotropin, Norditropin, Jintropin, and Omnitrope) were compared using the iTRAQ/MALDI-MS method to determine the similarity between their primary structures and quantify the amount of protein in each product. All four product samples were well labeled and successfully compared when a filtration cleanup step preceded iTRAQ labeling. The quantitative accuracy of the iTRAQ method was evaluated. In all cases, the accuracy of experimentally determined protein ratios was higher than 90%, and the relative standard deviation (RSD) was less than 10%. The iTRAQ and global internal standard technology (GIST) methods were compared, and the iTRAQ method provided both higher sequence coverage and enhanced signal intensity.     

Towards proteome standards: The use of absolute quantitation in high-throughput biomarker discovery

The use of proteomics to profile biological fluids and identify therein biomarkers for cancer and other diseases was initially received with considerable excitement. However, results have fallen short of the expectations. Traditionally, protein biomarkers have been identified by measurement of relative expression changes between case and control samples from which differentially expressed proteins are then considered to represent biomarker candidates.We argue that current individual proteomics-based biomarker discovery studies lack the statistical strength for the identification of high-confidence biomarkers. Instead, multi-group efforts are necessary to facilitate the generation of sufficient sample sizes. This is contingent on the ability to collate and cross-compare data from different studies, which will require the use of a common metric or standards.Though profound, the technical challenges for absolute protein quantification can be overcome. The use of matrix specific, shared standards for absolute quantitation presents an opportunity to facilitate the much needed, but currently impossible, comparisons of different studies. In addition to community-wide approaches to standardize pre-analytical biomarker research studies, it is also important to establish means to integrate experimental data from different studies in order to assess the usefulness of proposed biomarkers with sufficient statistical certainty.