PSAQ™ standards for accurate MS–based quantification of proteins: from the concept to biomedical applications

Absolute protein quantification, i.e. determining protein concentrations in biological samples, is essential to our understanding of biological and physiopathological phenomena. Protein quantification methods based on the use of antibodies are very effective and widely used. However, over the last ten years, absolute protein quantification by mass spectrometry has attracted considerable interest, particularly for the study of systems biology and as part of biomarker development. This interest is mainly linked to the high multiplexing capacity of MS analysis, and to the availability of stable‐isotope‐labelled standards for quantification. This article describes the details of how to produce, control the quality and use a specific type of standard: Protein Standard Absolute Quantification (PSAQ?) standards. These standards are whole isotopically labelled proteins, analogues of the proteins to be assayed. PSAQ standards can be added early during sample treatment, thus they can correct for protein losses during sample prefractionation and for incomplete sample digestion. Because of this, quantification of target proteins is very accurate and precise using these standards. To illustrate the advantages of the PSAQ method, and to contribute to the increase in its use, selected applications in the biomedical field are detailed here. Copyright © 2012 John Wiley & Sons, Ltd.     

The effect of the biological variability of samples on Coomassie blue dye based fast staining for SDS‐PAGE in nonfixed gels

Fast‐staining protocols based on the use of Coomassie blue dye for SDS‐PAGE separated proteins, represent a quick and simple solution for protein visualization. It has been shown however, that in some cases a phenomenon of missing spots or spot discoloration may be observed in the proteome pattern when the standard fast‐staining protocol is used. In this work, it is demonstrated that this occurrence is affected by the biological variability of samples, and therefore, cannot be observed in all samples. Moreover, it is demonstrated that the phenomenon is manifested exclusively in nonfixed gels, and that including a fixation step into the fast‐staining protocol prevented this phenomenon. In conclusion, it has been demonstrated that standard Coomassie blue dye based fast staining for SDS‐PAGE resolved proteins is affected by the biological variability of samples in nonfixed gels.     

DNA conformational switches as sensitive electronic sensors of analytes

The electrical conductivity of DNA is dependent on its conformational state. We demonstrate here that such a dependence may be harnessed for the electronic sensing of external analytes, for instance, adenosine. Such a DNA sensor incorporates an analyte "receptor", whose altered conformation in the presence of bound analyte switches the conformation, and hence, the conductive path between two DNA double-helical stems. Two distinct designs for such sensors are described here, that permit significant electrical conduction through a "detector" double-helical stem only in the presence of the bound analyte. In the first design, current flows through the analyte receptor itself, whereas in the second, current flows in a path adjacent to the receptor. The former design may be especially suitable for certain categories of analytes, including heterocycle-containing compounds such as adenosine, whereas the latter design should be generally applicable to the detection of any molecular analyte, large or small. Since analyte detection in these DNA sensors is electronic, the potential exists for their application in rapid and automated chip-based detection of small molecules as well as of proteins and other macromolecules.     

Current perspectives and recommendations for the development of mass spectrometry methods for the determination of allergens in foods

Allergen detection and quantification is an essential part of allergen management as practiced by food manufacturers. Recently, protein MS methods (in particular, multiple reaction monitoring experiments) have begun to be adopted by the allergen detection community to provide an alternative technique to ELISA and PCR methods. MS analysis of proteins in foods provides additional challenges to the analyst, both in terms of experimental design and methodology: (1) choice of analyte, including multiplexing to simultaneously detect several biologically relevant molecules able to trigger allergic reactions; (2) choice of processing stable peptide markers for different target analytes that should be placed in publicly available databases; (3) markers allowing quantification (e.g., through standard addition or isotopically labeled peptide standards); (4) optimization of protease digestion protocols to ensure reproducible and robust method development; and (5) effective validation of methods and harmonization of results through the use of naturally incurred reference materials spanning several types of food matrix.     

Polymerase chain reaction techniques for food allergen detection

Food allergies represent an important health problem in industrialized countries. Undeclared allergenic foods as contaminants in food products pose a major risk for sensitized persons. Reliable detection and quantification methods for food allergens are necessary to ensure compliance with food labeling and improve consumer protection. The methods currently used for the detection of potential allergens in foods are to target either the allergen itself or a marker that indicates the presence of the offending food. As markers for the presence of potentially allergenic foods or ingredients, specific proteins or DNA fragments are targeted. In routine food analysis, the enzyme-linked immunosorbent assay (ELISA) and the polymerase chain reaction (PCR) in the form of a real-time PCR or in combination with an ELISA have been used. The availability, the characteristics, and some future aspects of DNA-based methods in the rapid and sensitive detection of potentially allergenic food constituents or contaminations are discussed in this review.     

Determination of cadmium, lead, iron, nickel and chromium in selected food matrices by plasma spectrometric techniques

In the frame of a study aimed at investigating the transfer of metal contaminants through the food chain and the effects of food processing, five elements, namely Cd, Pb, Fe, Ni and Cr, were accurately determined in (i) durum wheat grain and derived products, (ii) wheat-based reference materials, (iii) drinking water, used both as an ingredient and for technological purposes in the investigated industrial process. Microwave closed vessel digestion was selected as the dissolution technique for solid samples, whereas water samples were acidified with ultrapure nitric acid and analysed directly. As several analytes had to be quantified at trace or ultratrace levels, inductively coupled plasma mass spectrometry (ICP-MS) was resorted to for analytical determinations. Overall, this straightforward analytical approach enabled to detect the often small changes in element concentration associated with the different technological steps of processing. Nevertheless, detection of heavily interfered elements, especially Cr, as well as analyte quantification at ultratrace-level level in water, posed analytical challenges that required suited analytical solutions.Changes in the sample introduction system and complementary use of inductively coupled plasma atomic emission spectrometry (ICP-AES) straightforwardly overcame the difficulties in determining the analytes in the selected food matrixes. The benefits of ultrasonic nebulization in reducing the effects of problematic spectral interferences were demonstrated. Overall, a robust and high-throughput analytical method was outlined.     

Revealing the seed proteome of the health benefitting grain amaranth (<Emphasis Type="Italic">Amaranthus cruentus</Emphasis> L.)

Amaranth, a staple food source in ancient Aztec, Maya and Inca cultures, has been recognised as a 21st century crop. This superfood, known as Inca wheat, attracts the worldwide attention of researchers and farmers for its superior agronomical and technological properties but especially because of its exceptional nutritive value. A combination of two-dimensional electrophoresis (2-DE) with MS facilitating the effective differentiation of 13 classes of Amaranthus cruentus L. “Ficha” mature seed proteins was used in the current study. The best resolution results in the 2-DE were obtained using immobilised pH gradients strips with a pH range of 5–8. Out of the 461 spots detected, 249 were successfully identified by LC-MS/MS analysis, making this the most inclusive protein profile of mature amaranth seed. Unknown proteins represented the most abundant class of proteins (59), the second most abundant category was related to energy (46) and then to seed storage proteins (43). These results expand the knowledge of the amaranth seed proteome and it is expected that the data presented here will contribute to further in-depth characterisation of Amaranthus seeds.     

Isotope-coded dimethyl tagging for differential quantification of posttranslational protein carbonylation by 4-hydroxy-2-nonenal, an end-product of lipid peroxidation

Peroxidation of cellular membrane lipids, rich in polyunsaturated fatty acids, generates electrophilic, α, β-unsaturated aldehydes such as 4-hydroxy-2-nonenal (HNE). HNE is a highly reactive and cytotoxic molecule that can react with the nucleophilic sites in proteins causing posttranslational modification. The identification of protein targets is an important first step; however, quantitative profiling of site-specific modifications is necessary to understand the biological impact of HNE-induced carbonylation. We report a method that uses light (H(12)CHO) and heavy (D(13)CDO) isotopic variant of formaldehyde to differentially label primary amines (N-termini and ε-amino group of lysines) in peptides through reductive methylation and, combined with selective enrichment of modified peptides, permits comparison of the extent of carbonylation in two samples after mixing for simultaneous liquid chromatography-mass spectrometry. Specifically, dimethyl-labeled peptide carbonyls were fractionated from unmodified peptides using solid-phase hydrazide chemistry to immobilize them to porous glass beads and, after removing the unmodified peptides by thoroughly washing the beads, subsequently recover them by acid-catalyzed hydrolysis. The method was developed using HNE-modified synthetic peptides and also showing enrichment from a complex matrix of digested human plasma proteins. Applicability was confirmed using apomyoglobin as an analyte, implicating thereby its potential value to proteome-wide identification and relative quantification of posttranslational protein carbonylation with residue-specific information. Because HNE attachment may not necessarily cause change in protein abundance, this modification-focused quantification should facilitate the characterization of accompanied changes in protein function and, also, provide important insights into molecular signaling mechanisms and a better understanding of cellular processes associated with oxidative stress.     

MALDI‐TOF mass spectrometry for the monitoring of she‐donkey's milk contamination or adulteration

Donkey's milk (DM), representing a safe and alternative food in both IgE‐mediated and non‐IgE‐mediated cow's milk protein allergy, can be categorized as precious pharma‐food. Moreover, an economically relevant interest for the use of DM in cosmetology is also developing. The detection of adulterations and contaminations of DM is a matter of fundamental importance from both an economic and allergenic standpoint, and, to this aim, fast and efficient analytical approaches to assess the authenticity of this precious nutrient are desirable. Here, a rapid matrix‐assisted laser desorption/ionization‐time‐of‐flight mass spectrometry (MALDI‐TOF MS)‐based method aimed to the detection of bovine or caprine milk in raw DM is reported. The presence of the extraneous milks was revealed by monitoring the protein profiles of the most abundant whey proteins, α‐lactalbumin (α‐LA) and β‐lactoglobulin, used as molecular markers. The possibility of obtaining a quantitative analysis of the level of cow or goat milk in DM based on the MALDI‐TOF peak areas of α‐LAs was also explored. The results showed that the experimental quantitative values were in good agreement with the real composition of each mixture. As pretreatment of the milk samples is not required, and owing to the speed and the high sensitivity of MALDI‐MS, the protocol here reported could represent a reliable method for routine analyses aimed to assess the absence of contamination in raw fresh DM samples. Copyright © 2013 John Wiley & Sons, Ltd.     

Knowledge-based proteome profiling: considering identified proteins to evaluate separation efficiency by 2-D PAGE

Proteome profiling techniques rely on the separation of proteins or peptides and their subsequent quantification. The reliability of this technique is still limited because a proteome profiling result does not necessarily represent the true protein composition of the analysed sample, thus seriously hampering proper data interpretation. Many experimentally observed proteome alterations are biologically not significant. It was the aim of this study to use the knowledge of the biological context of proteins in order to establish optimised proteome profiling protocols. While 2-D spot patterns of total cell protein fractions were found to poorly represent the true protein composition, purified subcellular protein fractions were found to better represent the protein composition of the analysed sample. The application of a standardised protocol to different kinds of cells revealed several striking observations. Firstly, the protein composition of cultured cells of various origins is very similar. Secondly, proteome alterations observed with the described protocols do make sense from a biologic point of view and may thus be considered as truly representative for the analysed samples. Thirdly, primary white blood cells isolated from different donors were found to show minor, but reproducible and significant individual differences. We designate the consideration of known properties of identified proteins in proteome profiles as a knowledge-based approach. The present data suggest that this approach may tremendously help to improve the applied techniques and assess the results. We demonstrate that the fulfilment of well-defined criteria of proteome profiles eventually results in reliable and biologically relevant data.     

Semiconductor sensor embedded microfluidic chip for protein biomarker detection using a bead-based immunoassay combined with deoxyribonucleic acid strand labeling

Two major issues need to be addressed in applying semiconductor biosensors to detecting proteins in immunoassays. First, the length of the antibody on the sensor surface surpasses the Debye lengths (approximately 1 nm, in normal ionic strength solution), preventing certain specifically bound proteins from being tightly attached to the sensor surface. Therefore, these proteins do not contribute to the sensor’s surface potential change. Second, these proteins carry a small charge and can be easily affected by the pH of the surrounding solution. This study proposes a magnetic bead-based immunoassay using a secondary antibody to label negatively charged DNA fragments for signal amplification. An externally imposed magnetic force attaches the analyte tightly to the sensor surface, thereby effectively solving the problem of the analyte protein’s distance to the sensor surface surpassing the Debye lengths. In addition, a normal ion intensity buffer can be used without dilution for the proposed method. Experiments revealed that the sensitivity can be improved by using a longer DNA fragment for labeling and smaller magnetic beads as solid support for the antibody. By using a 90 base pair DNA label, the signal was 15 times greater than that without labeling. In addition, by using a 120 nm magnetic bead, a minimum detection limit of 12.5 ng mL⁻¹ apolipoprotein A1 can be measured. Furthermore, this study integrates a semiconductor sensor with a microfluidic chip. With the help of microvalves and micromixers in the chip, the length of the mixing step for each immunoassay has been reduced from 1 h to 20 min, and the sample volume has been reduced from 80 μL to 10 μL. In practice, a protein biomarker in a urinary bladder cancer patient’s urine was successfully measured using this technique. This study provides a convenient and effective method to measure protein using a semiconductor sensor.     

Fractionation of the human plasma proteome for monoclonal antibody proteomics‐based biomarker discovery 2: Antigen identification by dot‐blot array screening

Immunization with complex mixtures, like the human plasma resulted in the generation of cloned mAb libraries (PlasmaScan? and QuantiPlasma? libraries, with >1000 individual mAbs) reacting with a nonredundant set of antigenic epitopes. mAb proteomics refers to quasi‐hypothesis‐free profiling of plasma samples with nascent or cloned mAb libraries for the discovery of disease‐specific biomarkers. Once mAbs with biomarker potential have been identified, the next task is the determination of cognate antigens recognized by the respective mAbs. To determine the cognate protein antigen corresponding to each individual mAbs in the cloned mAb libraries, we have separated human plasma by consecutive steps of desalting and various chromatography procedures. The process resulted in 783 fractions, which we termed “Analyte Library” (AL). The AL represents the human plasma proteome in relatively low‐protein complexity fractions. Here, to determine the utility of the AL, we selected ten plasma proteins and checked for their presence in the fractions. Among the ten cases, the distribution of four selected plasma proteins matched expectations, as these proteins were present only in a few fractions corresponding to their physical, chemical, and biochemical properties. However, in six cases, we observed “smear” ‐like distribution or complete absence of the proteins, suggesting that protein–protein interactions or protein variants may alter the observed plasma distribution profiles. Nevertheless, we conclude that the AL is an efficient, high throughput tool to complement the mAb biomarker discovery process with cognate protein antigen identification for each mAbs.     

MSQ: a tool for quantification of proteomics data generated by a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry based targeted quantitative proteomics platform

Mass spectrometry (MS)‐based quantitative proteomics has become a critical component of biological and clinical research for identification of biomarkers that can be used for early detection of diseases. In particular, MS‐based targeted quantitative proteomics has been recently developed for the detection and validation of biomarker candidates in complex biological samples. In such approaches, synthetic reference peptides that are the stable isotope labeled version of proteotypic peptides of proteins to be quantitated are used as internal standards enabling specific identification and absolute quantification of targeted peptides. The quantification of targeted peptides is achieved using the intensity ratio of a native peptide to the corresponding reference peptide whose spike‐in amount is known. However, a manual calculation of the ratios can be time‐consuming and labor‐intensive, especially when the number of peptides to be tested is large. To establish a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry (LC/MALDI TOF/TOF)‐based targeted quantitative proteomics pipeline, we have developed a software named Mass Spectrometry based Quantification (MSQ). This software can be used to automate the quantification and identification of targeted peptides/proteins by the MALDI TOF/TOF platform. MSQ was applied to the detection of a selected group of targeted peptides in pooled human cerebrospinal spinal fluid (CSF) from patients with Alzheimer's disease (AD) in comparison with age‐matched control (OC). The results for the automated quantification and identification of targeted peptides/proteins in CSF were in good agreement with results calculated manually. Copyright © 2010 John Wiley & Sons, Ltd.     

Drug detection based on the conformational changes of calmodulin and the fluorescence of its enhanced green fluorescent protein fusion partner

A homogeneous phase protein-based assay for the high throughput screening of drugs was developed using enhanced green fluorescent protein (EGFP) as the reporter. For that, a fusion protein between calmodulin (CaM) and EGFP was constructed in order to monitor the conformational changes induced in CaM upon binding to tricyclic anti-depressant drugs. In the presence of Ca²⁺, CaM undergoes a conformational change exposing a hydrophobic pocket that interacts with CaM-binding proteins, peptides, and drugs. Further, the conformational changes induced in CaM upon binding to Ca²⁺ and the target analyte drug, leads to a change in the microenvironment of EGFP concomitant with a change in its fluorescence intensity. The observed change in fluorescence intensity of EGFP can be correlated to the concentration of the analyte present in the sample. Further, the response of CaM–EGFP fusion protein in the presence of Ca²⁺ to increasing concentrations of phenothiazines and structurally related tricyclic anti-depressants was investigated. Dose-response curves for various tricyclic anti-depressants were prepared. Moreover, this assay can serve as a model system for other homogeneous binding assays for pharmaceuticals employing genetically fused binding proteins with reporter proteins and may find applications in the high throughput screening of tricyclic anti-depressants.     

Improved spectrophotometric vitellogenin determination via alkali-labile phosphate in fish plasma–a cost effective approach for assessment of endocrine disruption

Vitellogenin (VTG) is a well known protein biomarker for exposure to environmental estrogens and possible endocrine disruption in fish. VTG is very dominant in plasma after the onset of vitellogenesis and the protein is heavily phosphorylated. This enables indirect quantification through measurement of alkali-labile protein bound phosphate (ALP) as an alternative to the more expensive enzyme linked immunosorbent assay. Good correlation has previously been shown between ALP and actual VTG levels but little effort has been made to investigate the method in an analytical way e.g., to assure the origin of the measured phosphate. During this method development care has been taken to rule out non-VTG sources of phosphate such as phospholipids and free phosphate in the blood plasma. Sample preparation has been simplified and unnecessary steps have been omitted. The common spectrophotometric measurement for ALP involves measurement at two wavelengths and calculation of corrected absorbance values. With a quick phase separation step the spectrophotometric phosphate determination using molybdic acid and ascorbic acid has been improved and all matrix interference has been eliminated. The final ALP method presented here has a detection limit of 3.2 µg PO₄ ^3?/ml plasma which is six times lower than similar methods and it also has less variability. A high sample throughput in comparison to previous ALP methods is possible after scaling down sample and reagent volumes to fit in a 96 well microtiter plate. The cost for buying all chemicals and plastic consumer goods for setting up the indirect protocol for the analysis of 1000 samples is only circa 350 euro. This is only 1% of the material cost for buying commercially available test kit for direct quantification of VTG in the same number of samples. The ALP method should thus be of interest also for applied scientists outside advanced research laboratories.     

基于凝集素的唾液糖蛋白分离、分析及应用

唾液中的糖蛋白丰度偏低,给分离、分析带来挑战。该文采用麦胚素（WGA）和橙黄网胞盘菌凝集素（AAL）分别富集糖蛋白,考察了高丰度蛋白质去除和不同酶解方式对糖蛋白分离、分析的影响。结果显示,WGA和AAL提取的唾液糖蛋白经胶内酶解可鉴定到的糖蛋白数量显著多于溶液内酶解的结果,也优于去除高丰度蛋白质后的鉴定结果。选择WGA结合胶内酶解进一步对比分析肺癌患者与健康人唾液糖蛋白的差异,通过免标记定量分析共鉴定到139个蛋白质,其中102个蛋白质存在糖基化位点,包括14个在癌症组和正常组之间存在显著差异（p<0.05）的糖蛋白,表明该策略可用于唾液糖蛋白的有效分离、分析和癌症标志物的发现。     

Quantitative liquid chromatography tandem mass spectrometry analysis of macromolecules using signature peptides in biological fluids

Targeted protein quantification using peptide surrogates has increasingly become important to the validation of biomarker candidates and development of protein therapeutics. These approaches have been proposed and employed as alternatives to immunoassays in biological fluids. Technological advances over the last 20 years in biochemistry and mass spectrometry have prompted the use of peptides as surrogates to quantify enzyme digested proteins using triple quadrupole mass spectrometers. Multiple sample preparation processes are often incorporated to achieve quantification of target proteins using these signature peptides. This review article focuses on these processes or hyphenated techniques for quantification of proteins with peptide surrogates. The most recent advances and strategies involved with hyphenated techniques are discussed.     

Ultra‐high performance liquid chromatography tandem mass spectrometry for the detection of durum wheat contamination or adulteration

In this work, an ultra‐performance liquid chromatography electrospray ionization (UPLC‐ESI)‐MS/MS methodology based on multiple reaction monitoring (MRM) for the selective and sensitive detection and quantification of durum wheat adulteration has been developed and fully validated. The targeted analysis was performed by monitoring specific transitions at m/z 543.7 > 657.4 and m/z 543.7 > 299.2 of a species‐specific marker derived from a tryptic peptide of puroindoline a (Pin‐a), a cysteine‐rich protein selectively present only in common wheat. In addition, two transitions at m/z 500.4 > 725.4 and m/z 500.4 > 561.9 of a reference peptide belonging to purothionin A‐1, present in both species, were also monitored. The calibration curves obtained on binary mixtures with known percentages of common/durum wheat flours showed linearity (coefficient of regression, r ≥ 0.99) over concentrations that ranged between 80 and 1%. The limit of detection (LOD) and limit of quantification (LOQ) for the Pin‐a marker in wheat flours were 0.01 and 0.03%, respectively. The identified Pin‐a marker was also found to be highly diagnostic for the quantification of common wheat in raw materials (kernels) and processed products (pasta), thus offering new opportunities to assess food authenticity. Copyright © 2014 John Wiley & Sons, Ltd.     

Multi-residue determination of 130 multiclass pesticides in fruits and vegetables by gas chromatography coupled to triple quadrupole tandem mass spectrometry

A multi-residue method has been developed and validated for the simultaneous quantification and confirmation of around 130 multiclass pesticides in orange, nectarine and spinach samples by GC-MS/MS with a triple quadrupole analyzer. Compounds have been selected from different chemical families including insecticides, herbicides, fungicides and acaricides. Three isotopically labeled standards have been used as surrogates in order to improve accurate quantitation. Samples were extracted by using accelerated solvent extraction (ASE) with ethyl acetate. In the case of spinach, an additional clean-up step by gel permeation chromatography was applied. Determination was performed by GC-MS/MS in electron ionization mode acquiring two MS/MS transitions for each analyte. The intensity ratio between quantitation transition (Q) and identification transition (q) was used as confirmatory parameter (Q/q ratio). Accuracy and precision were evaluated by means of recovery experiments in orange, nectarine, and spinach samples spiked at two concentration levels (0.01 and 0.05 mg/kg). Recoveries were, in most cases, between 70% and 120% and RSD were below 20%. The limits of quantification objective for which the method was satisfactorily validated in the three samples matrices were for most pesticides 0.01 mg/kg. Matrix effects over the GC-MS/MS determination were tested by comparison of reference standards in pure solvent with matrix-matched standards of each matrix. Data obtained showed enhancement of signal for the majority of analytes in the three matrices investigated. Consequently, in order to reduce the systematic error due to this effect, quantification was performed using matrix-matched standard calibration curves. The matrix effect study was extended to other food matrices such as raisin, paprika, cabbage, pear, rice, legume, and gherkin, showing in all cases a similar signal enhancement effect.