A method to identify and simultaneously determine the relative quantities of proteins isolated by gel electrophoresis

Effects of soy flour formulation and pretreatment on the properties of gluten-free cookies: A comprehensive study from flour, dough, to baked products

Grain-based gluten-free cookies are often nutritionally inferior owing to their low protein content. This study aimed to enhance the nutritional value of gluten-free cookies by incorporating soy flour and to investigate the effects of different types of modified soy flour on the properties of gluten-free dough and cookies. Results indicate that all types of modified soy flour significantly decreased water absorption capacity (p < 0.05) and protein molecular weight while significantly increasing free sulfhydryl groups and free amino group content (p < 0.05). Adding modified soy flour significantly reduced the mixograph peak time from 7.26 min to less than 1.9 min (p < 0.05). Incorporating 30 % cysteine-modified soy flour significantly increased the cookie spread ratio from 9.2 to 22.8 (p < 0.05). Moreover, adding modified soy flour maintained the moderate hardness and fracturability of gluten-free cookies and achieved a more desirable color.

Personalized diagnostic approach and indirect quantification of extravasation in human anaphylaxis

BACKGROUND

Anaphylaxis is the most acute and life-threatening manifestation of allergic disorders. Currently, there is a need to improve its medical management and increase the understanding of its molecular mechanisms. This study aimed to quantify the extravasation underlying human anaphylactic reactions and propose new theragnostic approaches.

METHODS

Molecular determinations were performed in paired serum samples obtained during the acute phase and at baseline from patients presenting with hypersensitivity reactions. These were classified according to their severity as Grades 1, 2 and 3, the two latter being considered anaphylaxis. Tryptase levels were measured by ImmunoCAP, and serum protein concentration was quantified by Bradford assay. Human serum albumin (HSA) and haemoglobin beta subunit (HBB) levels were determined by Western blot and polyacrylamide gel electrophoresis, respectively.

RESULTS

A total of 150 patients were included in the study. Of them, 112 had experienced anaphylaxis (83 and 29 with Grade 2 and 3 reactions, respectively). Tryptase diagnostic efficiency substantially improved when considering patients' baseline values (33%-54%) instead of the acute value threshold (21%). Serum protein concentration and HSA significantly decreased in anaphylaxis (p < .0001). HSA levels dropped with the severity of the reaction (6% and 15% for Grade 2 and 3 reactions, respectively). Furthermore, HBB levels increased during the acute phase of all hypersensitivity reactions (p < .0001).

CONCLUSIONS

For the first time, the extravasation underlying human anaphylaxis has been evaluated based on the severity of the reaction using HSA and protein concentration measurements. Additionally, our findings propose new diagnostic and potential therapeutic approaches for this pathological event.

Recent advances in 2D electrophoresis: an array of possibilities

2D electrophoresis is currently the most widespread technique used for performing functional proteomics (i.e., the large-scale analysis of alterations in protein expression levels). Nevertheless, several limitations inherent to this technology have restricted the full potential of this protein differential display methodology for years. This has even led to the abandonment of 2D electrophoresis by several groups that switched to performing gel-free functional proteomics analyses based on liquid chromatography and mass spectrometry. Meanwhile, important recent advances in 2D electrophoresis, such as the introduction of fluorescent 2D difference gel electrophoresis and numerous protein prefractionation techniques, have thoroughly modernized 2D electrophoresis, making it again one of the preferred methods for the analysis of protein expression differences in many laboratories.

Comparative and Quantitative Global Proteomics Approaches: An Overview

Proteomics became a key tool for the study of biological systems. The comparison between two different physiological states allows unravelling the cellular and molecular mechanisms involved in a biological process. Proteomics can confirm the presence of proteins suggested by their mRNA content and provides a direct measure of the quantity present in a cell. Global and targeted proteomics strategies can be applied. Targeted proteomics strategies limit the number of features that will be monitored and then optimise the methods to obtain the highest sensitivity and throughput for a huge amount of samples. The advantage of global proteomics strategies is that no hypothesis is required, other than a measurable difference in one or more protein species between the samples. Global proteomics methods attempt to separate quantify and identify all the proteins from a given sample. This review highlights only the different techniques of separation and quantification of proteins and peptides, in view of a comparative and quantitative global proteomics analysis. The in-gel and off-gel quantification of proteins will be discussed as well as the corresponding mass spectrometry technology. The overview is focused on the widespread techniques while keeping in mind that each approach is modular and often recovers the other.

Comparative proteomics, network analysis and post-translational modification identification reveal differential profiles of plasma Con A-bound glycoprotein biomarkers in gastric cancer

In the study, we used Con A affinity chromatography, 1-D gel electrophoresis, and nano-LC-MS/MS to screen biomarker candidates in plasma samples obtained from 30 patients with gastric cancer and 30 healthy volunteers. First, we pooled plasma samples matched by age and sex. We identified 17 differentially expressed Con A-bound glycoproteins, including 10 upregulated proteins and 7 downregulated proteins; these differences were significant (Student's t-test, p-value<0.05). Furthermore, 2 of the upregulated proteins displayed expression levels that were increased by 2-fold or more in gastric cancer samples when compared with normal control samples. These proteins included leucine-rich alpha-2-glycoprotein (LRG1) and inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), and the expression levels were validated by Western blot analysis. Pathway and network analysis of the differentially expressed proteins by Ingenuity Pathway Analysis revealed vital canonical pathways involving acute phase response signaling, the complement system, LXR/RXR activation, hematopoiesis from pluripotent stem cells, and primary immunodeficiency signaling. Our results suggest that Con A-bound LRG1 and ITIH3 may not be practically applicable as a robust biomarker for the early detection of gastric cancer. Additionally, three novel PTMs in ITIH3 were identified and include hexose-N-acetyl-hexosamine at asparagine-(41), trimethylation at aspartic acid-(290), and flavin adenine dinucleotide at histidine-(335).

BIOLOGICAL SIGNIFICANCE

Our study was to describe a combinatorial approach of Con A affinity chromatography, 1-D SDS-PAGE, and nano-LC/MS/MS that provides a label-free, comparative glycoproteomic quantification strategy for the investigation of glycoprotein profiles in plasma from gastric cancer patients versus healthy volunteers and to identify glycoprotein biomarkers for the early clinical detection of gastric cancer. Three novel PTMs, HexHexNAc, trimethylation and FAD, in Con A-bound ITIH3 were identified and built in molecular modeling. The aspartic acid-(290) trimethylation site was located in a metal ion-dependent adhesion site (MIDAS motif; (290)-DXSXS…T…D-(313)) that may influence important function for binding protein ligands.

Nutriproteomics: technologies and applications for identification and quantification of biomarkers and ingredients

Nutrition refers to the process by which a living organism ingests and digests food and uses the nutrients therein for growth, tissue maintenance and all other functions essential to life. Food components interact with our body at molecular, cellular, organ and system level. Nutrients come in complex mixtures, in which the presence and concentration of single compounds as well as their interactions with other compounds and the food matrix influence their bioavailability and bioefficacy. Traditionally, nutrition research mainly concentrated on supplying nutrients of quality to nourish populations and on preventing specific nutrient deficiencies. More recently, it investigates health-related aspects of individual ingredients or of complete diets, in view of health promotion, performance optimisation, disease prevention and risk assessment. This review focuses on proteins and peptides, their role as nutrients and biomarkers and on the technologies developed for their analysis. In the first part of this review, we provide insights into the way proteins are currently characterised and analysed using classical and emerging proteomic approaches. The scope of the second part is to review major applications of proteomics to nutrition, from characterisation of food proteins and peptides, via investigation of health-related food benefits to understanding disease-related mechanisms.

Cysteine tagging for MS-based proteomics

Amino acid-tagging strategies are widespread in proteomics. Because of the central role of mass spectrometry (MS) as a detection technique in protein sciences, the term "mass tagging" was coined to describe the attachment of a label, which serves MS analysis and/or adds analytical value to the measurements. These so-called mass tags can be used for separation, enrichment, detection, and quantitation of peptides and proteins. In this context, cysteine is a frequent target for modifications because the thiol function can react specifically by nucleophilic substitution or addition. Furthermore, cysteines present natural modifications of biological importance and a low occurrence in the proteome that justify the development of strategies to specifically target them in peptides or proteins. In the present review, the mass-tagging methods directed to cysteine residues are comprehensively discussed, and the advantages and drawbacks of these strategies are addressed. Some concrete applications are given to underline the relevance of cysteine-tagging techniques for MS-based proteomics.

Novel post-digest isotope coded protein labeling method for phospho- and glycoproteome analysis

In the field of proteomics there is an apparent lack of reliable methodology for quantification of posttranslational modifications. Present study offers a novel post-digest ICPL quantification strategy directed towards characterization of phosphorylated and glycosylated proteins. The value of the method is demonstrated based on the comparison of two prostate related metastatic cell lines originating from two distinct metastasis sites (PC3 and LNCaP). The method consists of protein digestion, ICPL labeling, mixing of the samples, PTM enrichment and MS-analysis. Phosphorylated peptides were isolated using TiO(2), whereas the enrichment of glycosylated peptides was performed using hydrazide based chemistry. Isolated PTM peptides were analyzed along with non enriched sample using 2D-(SCX-RP)-Nano-HPLC-MS/MS instrumentation. Taken together the novel ICPL labeling method offered a significant improvement of the number of identified (∼600 individual proteins) and quantified proteins (>95%) in comparison to the classical ICPL method. The results were validated using alternative protein quantification strategies as well as label-free MS quantification method. On the biological level, the comparison of PC3 and LNCaP cells has shown specific modulation of proteins implicated in the fundamental process related to metastasis dissemination. Finally, a preliminary study involving clinically relevant autopsy cases reiterated the potential biological value of the discovered proteins.

Applications of chemical tagging approaches in combination with 2DE and mass spectrometry

Chemical modification reactions play an important role in various protocols for mass-spectrometry-based proteome analysis; this applies to both gel-based and gel-free proteomics workflows. In combination with two-dimensional gel electrophoresis (2DE), the addition of "tags" by means of chemical reactions serves several purposes. Potential benefits include increased sensitivity or sequence coverage for peptide mass fingerprinting and improved peptide fragmentation for de novo sequencing studies. Tagging strategies can also be used to obtain complementary quantitative information in addition to densitometry, and they may be employed for the study of post-translational modifications. In combination with the unique advantages of 2DE as a separation technique, such approaches provide a powerful toolbox for proteomic research. In this review, relevant examples from recent literature will be given to illustrate the capabilities of chemical tagging approaches, and methodological requirements will be discussed.

Isotope-coded two-dimensional maps: tagging with deuterated acrylamide and 2-vinylpyridine

Isotope-coded two-dimensional maps, with either D(0)/D(3)-acrylamide or D(0)/D(4) 2-vinyl pyridine, are described in detail. They have the advantage of running the two samples under investigation within a single slab gel, thus minimizing errors because of spot matching with software packages when samples are run in parallel maps. Labeling with deuterated acrylamide is very simple and inexpensive, because this chemical is commercially available. The experiment has to be carried out at alkaline pH values (pH 8.5-9.0) and with high molarities of alkylating agent (50-100 mM) to ensure good conversion efficiency. On the contrary, labeling with 2-vinyl pyridine (2-VP) can be performed in much lower alkylant molarities (20 mM) and at neutral pH values, thus ensuring essentially 100% conversion efficiency coupled with 100% specificity, because the reaction is sustained by the partial positive and negative charges on the 2-VP and -SH group, respectively. However, deuterated 2-VP is not commercially available and it has to be synthesized ad hoc.

Matrix-assisted laser desorption/ionization-MS-based relative quantification of peptides and proteins using iodoacetamide and N-methyliodoacetamide as labeling reagents

The use of iodoacetamide (IAA) and N-methyliodoacetamide (MIAA) as labeling agents for the relative measurements of proteins using MALDI-MS is described herein. These reagents, which alkylate the thiol groups of cysteine residues in proteins, were introduced during the alkylation step of a common protein denaturation and digestion process. This approach is simpler and cheaper than those involving isotope labeling agents. The labeling agents described herein displayed good dynamic ranges and correlation coefficients for protein quantification analyses when the proteins were treated through either in-solution or in-gel digestion. The best dynamic ranges (in the molar ratio) for proteins lysozyme, transferrin, and BSA (in-solution digestion) are 0.1-10, 0.1-8, and 0.1-8, respectively. The corresponding correlation coefficients are greater than 0.99. The IAA/MIAA labeling is a useful method for the relative quantification of peptides and digested proteins when the chromatographic isotope effect is not a major concern.

Proteomic studies in animal models of diabetes

The aim of this review is to provide an overview of proteomic studies in animal models of diabetes and to give some insight into the different methods available today in the rapidly developing field of proteomics. A summary of 31 papers published between 1997 and 2007 is presented. For instance, proteomics has been used to study the development of both type 1 and type 2 diabetes, diabetic complications in tissues like heart, kidney and retina and changes after treatment with anti-diabetic drugs like peroxisome proliferator-activated receptors agonists. Together, these studies give a good overview of a number of experimental approaches. Proteomics holds the promise of providing major contributions to the field of diabetes research. However, to achieve this, a number of issues need to be resolved. Appropriate data representation to facilitate data comparison, exchange, and verification is required, as well as improved statistical assessment of proteomic experiments. In addition, it is important to follow up the results with functional studies to be able to make biologically relevant conclusions. The potential of proteomics to dissect complex human disorders is now beginning to be realized. In the future, this will result in new important information concerning diabetes.

Strategy combining separation of isotope-labeled unfolded proteins and matrix-assisted laser desorption/ionization mass spectrometry analysis enables quantification of a wide range of serum proteins

A novel strategy for the quantitative profiling of serum proteome is described. It includes an ammonium sulfate depletion of the serum, an affordable stable isotope labeling chemistry for samples with a large amount of protein, separation of the unfolded proteins, and relative quantification by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS). Labeling of unfolded proteins was performed using normal (D(0)) acrylamide and deuterated (D(3)) acrylamide. The workflow for separating the unfolded proteins includes whole gel elution and ion exchange liquid chromatography, and it combines electrophoretic separation based on the protein molecular weight followed by chromatographic separation in the presence of 8M urea based on protein charge. This was followed by trypsinolysis and MALDI MS analysis, leading to the quantification of a large number of serum proteins, including those with an abundance of 10(-5) less than albumin. This robust and inexpensive workflow is suitable for the quantitative profiling of protein changes in serum associated with preanalytical variables.

Quantitative proteomics for identification of cancer biomarkers

Quantitative proteomics can be used for the identification of cancer biomarkers that could be used for early detection, serve as therapeutic targets, or monitor response to treatment. Several quantitative proteomics tools are currently available to study differential expression of proteins in samples ranging from cancer cell lines to tissues to body fluids. 2-DE, which was classically used for proteomic profiling, has been coupled to fluorescence labeling for differential proteomics. Isotope labeling methods such as stable isotope labeling with amino acids in cell culture (SILAC), isotope-coded affinity tagging (ICAT), isobaric tags for relative and absolute quantitation (iTRAQ), and (18) O labeling have all been used in quantitative approaches for identification of cancer biomarkers. In addition, heavy isotope labeled peptides can be used to obtain absolute quantitative data. Most recently, label-free methods for quantitative proteomics, which have the potential of replacing isotope-labeling strategies, are becoming popular. Other emerging technologies such as protein microarrays have the potential for providing additional opportunities for biomarker identification. This review highlights commonly used methods for quantitative proteomic analysis and their advantages and limitations for cancer biomarker analysis.

Quantification of cysteine oxidation in human estrogen receptor by mass spectrometry

Redox-dependent modifications of sulfhydryl groups within the two Cys4 zinc fingers of the estrogen receptor DNA-binding domain (ER-DBD) result in structural damage and loss of ER DNA-binding function, which parallels the situation observed in many ER-positive breast cancers. Quantitation of the redox status of cysteinyl thiols within ER-DBD employed cysteine-specific oxidants to induce varying degrees of oxidation in recombinant ER, followed by differential alkylation with the stable isotopic labeling reagents [12C2]-iodoacetic acid and [13C2]-bromoacetic acid. Subsequent proteolysis with LysC/Asp-N generated diagnostic peptides of which the C-terminal peptide of the second zinc finger is most strongly detected by mass spectrometry (MS) and serves as a suitable marker of ER-DBD redox status. Data were collected from two different MALDI-MS instruments: a time-of-flight and a linear ion trap (vMALDI-LIT). An analogous but larger synthetic peptide treated with three isotopic variants of the alkylating reagent modeled isotopic overlaps that might complicate the relative quantitation of cysteine oxidation. Despite the isotopic overlaps, excellent relative quantitation was achieved from MS data obtained from both instruments. This was also true of tandem MS/MS data from the vMALDI-LIT, which should facilitate selected reaction monitoring. Relative quantitation by MS also closely matched data from immunochemical methods.

Quantitative analysis of acrylamide labeled serum proteins by LC-MS/MS

Isotopic labeling of cysteine residues with acrylamide was previously utilized for relative quantitation of proteins by MALDI-TOF. Here, we explored and compared the application of deuterated and (13)C isotopes of acrylamide for quantitative proteomic analysis using LC-MS/MS and high-resolution FTICR mass spectrometry. The method was applied to human serum samples that were immunodepleted of abundant proteins. Our results show reliable quantitation of proteins across an abundance range that spans 5 orders of magnitude based on ion intensities and known protein concentration in plasma. The use of (13)C isotope of acrylamide had a slightly greater advantage relative to deuterated acrylamide, because of shifts in elution of deuterated acrylamide relative to its corresponding nondeuterated compound by reversed-phase chromatography. Overall, the use of acrylamide for differentially labeling intact proteins in complex mixtures, in combination with LC-MS/MS provides a robust method for quantitative analysis of complex proteomes.

Chemistry meets proteomics: the use of chemical tagging reactions for MS-based proteomics

As proteomics matures from a purely descriptive to a function-oriented discipline of the life sciences, there is strong demand for novel methodologies that increase the depth of information that can be obtained from proteomic studies. MS has long played a central role for protein identification and characterization, often in combination with dedicated chemical modification reactions. Today, chemistry is helping to advance the field of proteomics in numerous ways. In this review, we focus on those methodologies that have a significant impact for the large-scale study of proteins and peptides. This includes approaches that allow the introduction of affinity tags for the enrichment of subclasses of peptides or proteins and strategies for in vitro stable isotope labeling for quantification purposes, among others. Particular attention is given to the study of PTMs where recent advancements have been promising, but many interesting targets are not yet being addressed.

Acrylamide--a cysteine alkylating reagent for quantitative proteomics

Mass spectrometry-based relative quantification of proteins is often achieved by the labeling of two samples with isotopically light and heavy reagents. The intensities of the ions with different masses, but same chemical properties, can be reliably used for determining relative quantities. Several strategies of labeling with various weakness and strength and degrees of complexity have been described. In this chapter, we describe a simple and inexpensive protein-labeling procedure based on the use of acrylamide and deuterated acrylamide as a cysteine alkylating reagent. Gel electrophoresis is one of the most commonly used techniques for analyzing/visualizing proteins, thus, we emphasize the use of acrylamide as a labeling procedure for quantifying proteins isolated by one- and two-dimensional polyacrylamide gel electrophoresis.

Quantitative proteome analysis using D-labeled N-ethylmaleimide and 13C-labeled iodoacetanilide by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

A new methodology for quantitative analysis of proteins is described, applying stable-isotope labeling by small organic molecules combined with one- or two-dimensional electrophoresis and MALDI-TOF-MS, also allowing concurrent protein identification by peptide mass fingerprinting. Our method eliminates fundamental problems in other existing isotope-tagging methods requiring liquid chromatography and MS/MS, such as isotope effects, fragmentation, and solubility. It is also anticipated to be more practical and accessible than those LC-dependent methods.

Characterization of human liver cytochromes P450 by combining the biochemical and proteomic approaches

Highly purified human liver microsomes were processed by a combination of the biochemical and proteomic methods. Microsomes were purified from the morphologically normal liver tissue obtained from the resected and discarded masses of surrounding liver upon surgical treatment for hemangioma (control) or hepatic metastases arising from colon cancer (pathology). Proteins of each sample were separated by two-dimensional (2-DE) and one-dimensional electrophoresis (1-DE); selected gel regions were excised, in-gel digested and analyzed by matrix-assisted laser desorption-ionization time-of-flight (MALDI-TOF) mass spectrometry. Analysis of collected fingerprints has revealed a total of 13 microsomal membrane proteins involved in the biotransformation of xenobiotics. These were disulfide isomerase, flavine monooxygenase, NADPH-cytochrome P450 reductase and 10 cytochrome P450 forms, namely: CYPs 1B1, 2A6, 2E1, 2C8, 2C9, 2C10, 2D6, 3A4, 4A11, 4F2. These same samples were characterized by the enzymatic assays using the marker substrates for CYPs 1A, 2B, 3A4, 2C and 2E1. Correlations between mass spectrometric data and enzymatic activities were investigated to demonstrate the manner in which the functional and structural aspects of proteomics meet each other in the field of cytochromes P450.

Robust protein quantitation in chromatographic fractions using MALDI-MS of tryptic peptides

A method is introduced to evaluate protein concentrations using the height sum of all MALDI-MS peaks that unambiguously match theoretic tryptic peptide masses of the protein sought after. The method uses native chromatographic protein fractionation prior to digestion but does not require any depletion, labeling, derivatization, or preparation of a compound similar to the analyte. All peak heights of tryptic peptides are normalized with the peak height of a unique standard peptide added to the MALDI-MS samples. The sum of normalized peak heights, S(n), or the normalized mean peak height, M(n), reflects the concentration of the respective protein. For fractions containing various proteins, S(n) and M(n) can be used to compare concentrations of a protein between different fractions. For fractions with one predominating protein, they can be used to estimate concentration ratios between fractions, or to quantify the fractional protein concentration after calibration with pure protein solutions. Initial native fractionation retains the possibility to apply all conventional analytic procedures. Moreover, it renders the method relatively robust to MS mass accuracy. The method was validated with albumin, transferrin, alpha1-antitrypsin, and immunoglobulin G within highly complex chromatographic fractions of pathological and normal sera, which contained the respective intact native protein in dominating as well as minor concentrations. The correlation found between S(n) and the protein concentration as determined with ELISA showed that the method can be applied to select markers for distinguishing between normal and pathological serum samples.

Mass spectrometry-based relative quantification of human neutrophil peptides 1, 2, and 3 from biological samples

Human neutrophil peptides (HNPs) are cysteine-rich antimicrobial peptides stored in neutrophils. The similar structure of HNPs -1, -2, and -3 renders them impossible to study individually in biological samples. For the first time, we describe a method of individually identifying the HNPs -1-3 from exudative neutrophils using matrix-assisted laser desorption ionization/time-of-flight (MALDI-TOF) mass spectrometry, and we demonstrate the ability to quantify the relative changes in the peptides found in biological samples. The study includes tracheal aspirates (TA) from infants with respiratory syncytial virus (RSV) illness at intubation for respiratory failure (acute illness) and at extubation (convalescence). In vitro, convalescent and acute illness TAs are labeled with d0- and d3-acrylamides, respectively, and mixed 1:1. TA proteins are separated by one-dimensional gel electrophoresis and then identified by mass spectrometry-based peptide mass fingerprinting. The ratio of signal intensities for the isotopically normal (d0-labeled) and heavy (d3-labeled) forms of the peptide reveals the relative increase in each peptide with illness.

A fast method for quantitative proteomics based on a combination between two-dimensional electrophoresis and15N-metabolic labelling

We provide a method for accurate protein quantitation that uses two-dimensional (2-D) gel electrophoresis for protein separation, but does not require extensive statistical analysis of staining intensities on gels. Instead, accurate quantitation occurs on the mass spectrometer (MAS) on multiple peptides to provide statistical evidence. In an example study, Sulfolobus solfataricus cells were grown on the carbon sources glucose, fructose and glutamate. The glucose phenotype (reference) was grown on (15)N-enriched medium. Next, the glutamate and the fructose phenotypes are mixed with the reference and two 2-D gels are created. Staining intensities of gel spots in this case are used for initial, semiquantitative assessment of differential expression. On this basis, spots are selected for accurate quantitation on the MAS. A number of differentially expressed proteins were found, for example: a (25.2 +/- 8.2)-fold upregulation of isocitrate lyase and a (7.14 +/- 0.82)-fold downregulation of glucose dehydrogenase on glutamate compared to glucose. With this protocol, intergel and interlaboratory comparisons are facilitated, since the light and heavy versions of a protein are equally affected by variations in sample preparation and buffer composition. Because the statistical evidence is gathered on the MAS, the need to run vast numbers of gels is removed.

Difference in Mass Analysis Using Labeled Lysines (DIMAL-K)

Here we describe an original strategy for unbiased quantification of protein expression called difference in mass analysis using labeled lysine (K) (DIMAL-K). DIMAL-K is based on the differential predigestion labeling of lysine residues in complex protein mixtures. The method is relevant for proteomic analysis by two-dimensional electrophoresis and MALDI-TOF mass spectrometry. Protein labeling on lysine residues uses two closely related chemical reagents, S-methyl thioacetimidate and S-methyl thiopropionimidate. Using protein standards, we demonstrated that 1) the chemical labeling was quantitative, specific, and rapid; 2) the differentially labeled proteins co-migrated on two-dimensional gels; and 3) the identification by mass fingerprinting and the relative quantification of the proteins were possible from a single MALDI-TOF mass spectrum. The power of the method was tested by comparing and quantifying the secretion of proteins in normal and proinflammatory astrocytic secretomes (20 microg). We showed that DIMAL-K was more sensitive and accurate than densitometric image analysis and allowed the detection and quantification of novel proteins.

Selective identification and quantitative analysis of methionine containing peptides by charge derivatization and tandem mass spectrometry

To enable the development of a tandem mass spectrometry (MS/MS) based methodology for selective protein identification and differential quantitative analysis, a novel derivatization strategy is proposed, based on the formation of a "fixed-charge" sulfonium ion on the side-chain of a methionine amino acid residue contained within a protein or peptide of interest. The gas-phase fragmentation behavior of these side chain fixed charge sulfonium ion containing peptides is observed to result in exclusive loss of the derivatized side chain and the formation of a single characteristic product ion, independently of charge state or amino acid composition. Thus, fixed charge containing peptide ions may be selectively identified from complex mixtures, for example, by selective neutral loss scan mode MS/MS methods. Further structural interrogation of identified peptide ions may be achieved by subjecting the characteristic MS/MS product ion to multistage MS/MS (MS3) in a quadrupole ion trap mass spectrometer, or by energy resolved "pseudo" MS3 in a triple quadrupole mass spectrometer. The general principles underlying this fixed charge derivatization approach are demonstrated here by MS/MS, MS3 and "pseudo" MS3 analysis of side chain fixed-charge sulfonium ion derivatives of peptides containing methionine formed by reaction with phenacylbromide. Incorporation of "light" and "heavy" isotopically encoded labels into the fixed-charge derivatives facilitates the application of this method to the quantitative analysis of differential protein expression, via measurement of the relative abundances of the neutral loss product ions generated by dissociation of the light and heavy labeled peptide ions. This approach, termed "selective extraction of labeled entities by charge derivatization and tandem mass spectrometry" (SELECT), thereby offers the potential for significantly improved sensitivity and selectivity for the identification and quantitative analysis of peptides or proteins containing selected structural features, without requirement for extensive fractionation or otherwise enrichment from a complex mixture prior to analysis.

Numerical approaches for quantitative analysis of two-dimensional maps: A review of commercial software and home-made systems

The present review attempts to cover a number of methods that have appeared in the last few years for performing quantitative proteome analysis. However, due to the large number of methods described for both electrophoretic and chromatographic approaches, we have limited this review to conventional two-dimensional (2-D) map analysis which couples orthogonally a charge-based step (isoelectric focusing) to a size-based separation step (sodium dodecyl sulfate-electrophoresis). The first and oldest method applied to 2-D map data reduction is based on statistical analysis performed on sets of gels via powerful software packages, such as Melanie, PDQuest, Z3 and Z4000, Phoretix and Progenesis. This method calls for separately running a number of replicas for control and treated samples. The two sets of data are then merged and compared via a number of software packages which we describe. In addition to commercially-available systems, a number of home made approaches for 2-D map comparison have been recently described and are also reviewed. They are based on fuzzyfication of the digitized 2-D gel image coupled to linear discriminant analysis, three-way principal component analysis or a combination of principal component analysis and soft-independent modeling of class analogy. These statistical tools appear to perform well in differential proteomic studies.

A novel strategy for quantitative proteomics using isotope-coded protein labels

Stable isotope labelling in combination with mass spectrometry has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. Here we describe a novel method, termed isotope-coded protein label (ICPL), which is capable of high-throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids, and compatible to all separation methods currently employed in proteome studies. The method showed highly accurate and reproducible quantification of proteins and yielded high sequence coverage, indispensable for the detection of post-translational modifications and protein isoforms. The efficiency (e.g. accuracy, dynamic range, sensitivity, speed) of the approach is demonstrated by comparative analysis of two differentially spiked proteomes.

Critical survey of quantitative proteomics in two-dimensional electrophoretic approaches

The present review attempts to cover a number of methods that appeared in the last few years for performing quantitative proteome analysis. However, due to the large number of methods described for both electrophoretic and chromatographic approaches, we have limited this excursus only to conventional two-dimensional (2D) map analysis, coupling orthogonally a charge-based step (isoelectric focusing) to a size-based separation (sodium dodecyl sulfate (SDS)-electrophoresis). The first and oldest method applied in 2D mapping is based on statistical analysis performed on sets of gels via powerful software packages, such as the Melanie, PDQuest, Z3 and Z4000, Phoretix and Progenesis. This method calls for separately-running a number of replicas for control and treated samples, the merging and comparing between these two sets of data being accomplished via the softwares just mentioned. Recent developments permit analyses on a single gel containing mixed samples differentially labelled and resolved by either fluorescence or isotopic means. In one approach, a set of fluorophors, called Cy3 and Cy5, are selected for differentially tagging Lys residues, via a "minimal labelling" protocol. A variant of this, adopts a newer set of fluorophors, also of the Cy3 and Cy5 type, reacting on Cys residues, via a strategy of "saturation labelling". There are at present two methods for quantitative proteomics in a 2D gel format exploiting stable isotopes: one utilizes tagging Cys residues with [2H0]/[2H3]-acrylamide; the other one, also based on a Cys reactive compound, exploits [2H0]/[2H4] 2-vinylpyridine. The latter reagent achieves 100% efficiency coupled to 100% specificity. The advantages and limitations of the various protocols are discussed.

Quantification in Proteomics through Stable Isotope Coding: A Review

This review focuses on techniques for quantification and identification in proteomics by stable isotope coding. Methods are examined for analyzing expression, post-translational modifications, protein:protein interactions, single amino acid polymorphism, and absolute quantification. The bulk of the quantification literature in proteomics focuses on expression analysis, where a wide variety of methods targeting different features of proteins are described. Methods for the analysis of post-translational modification (PTM) focus primarily on phosphorylation and glycosylation, where quantification is achieved in two ways, either by substitution or tagging of the PTM with an isotopically coded derivatizing agent in a single process or by coding and selecting PTM modified peptides in separate operations. Absolute quantification has been achieved by age-old internal standard methods, in which an isotopically labeled isoform of an analyte is synthesized and added to a mixture at a known concentration. One of the surprises is that isotope coding can be a valuable aid in the examination of intermolecular association of proteins through stimulus:response studies. Preliminary efforts to recognize single amino acid polymorphism are also described. The review ends with the conclusion that (1) isotope ratio analysis of protein concentration between samples does not necessarily relate directly to protein expression and rate of PTM and (2) that multiple new methods must be developed and applied simultaneously to make existing stable isotope quantification methods more meaningful. Although stable isotope coding is a powerful, wonderful new technique, multiple analytical issues must be solved for the technique to reach its full potential as a tool to study biological systems.

The potential for proteomic definition of stem cell populations

Embryonic and adult stem cell populations have great potential value in medicine, and hematopoietic stem cells are already being used in transplantation. Definition of these populations to increase our understanding of the programs that control differentiation, self-renewal, and possibly plasticity would be of great interest. The relative quantitation of transcriptional activity in stem cells and other populations has defined a profile of gene expression activity in stem cells. Confirmation that these differences have an impact on protein levels within stem cells via their complete protein complement and protein interactions will enable further understanding of regulatory processes in these cells. The recent developments in proteomics and their potential application to the definition of the stem cell proteome are discussed, and examples are given. Advances in mass spectrometry, subcellular prefractionation protocols, and electrophoresis that make stem cell proteomics a tractable problem are discussed. Beyond the proteome per se, advances in post-translational modification profiling mean that comparative analysis of phosphorylation patterns between stem cells and other populations can be approached.

Synthesis of 13C-labeled iodoacetanilide and application to quantitative peptide analysis by isotope differential mass spectrometry

13C-Labeled and unlabeled iodoacetanilides have been synthesized for covalent modification of the sulfhydryl groups of cysteine residues in proteins or peptides. A combination of these reagents, coupled with mass spectrometry, is a powerful tool for quantitative analysis of peptides and hence proteins.

Pharmacoproteomics in drug development

The field of proteomics is taking on increased significance as the relevance of investigating and understanding protein expression in disease and drug development is appreciated. Recent advances in proteomics have been driven by the availability of numerous annotated whole-genome sequences and a broad range of technological and bioinformatic developments that underscore the complexity of the proteome. This review briefly addresses some of the various technologies that comprise Expression Proteomics and Functional Proteomics, citing examples where these emerging approaches have been applied to pharmacology, toxicology, and the development of drugs.

Quantitative proteomics: a review of different methodologies

The present review attempts to cover the vast array of methods which have appeared in the last few years for performing quantitative proteome analysis. These methods are divided into two classes: those applicable to conventional two-dimensional map analysis, coupling orthogonally a charge-based step (isoelectric focusing) to a size-based separation [sodium dodecylsulfate (SDS)-electrophoresis] and those applicable to two-dimensional chromatographic protocols. The first method, although being by and large the most popular approach, can offer differential display of paired samples with relatively few methods, the oldest one being based on statistical analysis performed on sets of gels via powerful software packages, such as the MELANIE, PDQuest, Z3 and Z4000, Phoretix and Progenesis. Recent developments comprise analysis performed on a single gel containing mixed samples differentially labeled, either with fluorophors (Cy3 and Cy5) or with d(0)/d(3) acrylamide. Conversely, chromatographic approaches, which mostly rely on analysis not of intact proteins but of their tryptic digests, offer a panoply of differential labeling protocols, most of which rely on stable isotope tagging. Essentially, all possible reactions have been described, such as those involving Lys, Asp, Glu, Cys residues, as well as a number of methods exploiting differential derivatization of amine and carboxyl groups generated during proteolysis. All such methods are described and evaluated.

Quantitative protein profiling in heart mitochondria from diabetic rats

Quantitative protein profiling based on in vitro stable isotope labeling, two-dimensional polyacrylamide gel electrophoresis, and mass spectrometry is an accurate and reliable approach to measure simultaneously the relative abundance of many individual proteins within two different samples. In the present study, it was used to define a set of alterations caused by diabetes in heart mitochondria from streptozotocin-treated rats. We demonstrated that the expression of proteins from the myocardial tricarboxylic acid cycle was not altered in diabetes. However, up-regulation of the fatty acid beta-oxidation favored fatty acids over glucose as a source of acetyl CoA for the tricarboxylic acid cycle. Protein levels for several proteins involved in electron transport were modestly decreased. Whether this may depress overall ATP production remains to be established, since the protein level of ATP synthase seems to be unchanged. Other changes include down-regulation of protein levels for creatine kinase, voltage-dependent anion channel 1 (VDAC-1), HSP60, and Grp75. The mitochondria-associated level of albumin was decreased, while the level of catalase was substantially increased. All of the changes were evident as early as 1 week after streptozotocin administration. Taken together, these data point to a rapid and highly coordinated regulation of mitochondrial protein expression that occurs during the heart adaptation to diabetes.

Protein tyrosine nitration in the mitochondria from diabetic mouse heart. Implications to dysfunctional mitochondria in diabetes

Oxidative stress has been implicated in dysfunctional mitochondria in diabetes. Tyrosine nitration of mitochondrial proteins was observed under conditions of oxidative stress. We hypothesize that nitration of mitochondrial proteins is a common mechanism by which oxidative stress causes dysfunctional mitochondria. The putative mechanism of nitration in a diabetic model of oxidative stress and functional changes of nitrated proteins were studied in this work. As a source of mitochondria, alloxan-susceptible and alloxan-resistant mice were used. These inbred strains are distinguished by the differential ability to detoxify free radicals. A proteomic approach revealed significant similarity between patterns of tyrosine-nitrated proteins generated in the heart mitochondria under different in vitro and in vivo conditions of oxidative stress. This observation points to a common nitrating species, which may derive from different nitrating pathways in vivo and may be responsible for the majority of nitrotyrosine formed. Functional studies show that protein nitration has an adverse effect on protein function and that protection against nitration protects functional properties of proteins. Because proteins that undergo nitration are involved in major mitochondrial functions, such as energy production, antioxidant defense, and apoptosis, we concluded that tyrosine nitration of mitochondrial proteins may lead to dysfunctional mitochondria in diabetes.

Probing of arginine residues in peptides and proteins using selective tagging and electrospray ionization mass spectrometry

A general labelling method is presented which allows the determination of the number of guanidine groups (related to arginine and homoarginine in peptides and proteins) by means of mass spectrometry. It implies a guanidine-selective derivatization step with 2,3-butanedione and an arylboronic acid under aqueous, alkaline conditions (pH 8-10). The reaction mixture is then directly analysed by electrospray ionization mass spectrometry without further sample pretreatment. Other amino acids are not affected by this reaction although it is demonstrated that lysine side-chains may be unambiguously identified when they are converted to homoarginine prior to derivatization. Guanidine functionalities, as e.g. in the amino acid arginine, are easily identified by the characteristic mass shift between underivatized and derivatized analyte. The tagging procedure is straightforward and selective for guanidine groups. The influence of several experimental parameters, especially the pH of the solution and the choice of reagents, is examined and the method is applied to various arginine-containing peptides and to lysozyme as a representative protein. Possible applications of this technique and its limitations are discussed.

Combinatorial peptidomics: a generic approach for protein expression profiling

Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip.

Proteomic tools for quantitation by mass spectrometry

Techniques for the quantitation of proteins and peptides by mass spectrometry (MS) are reviewed. A range of labeling processes is discussed, including metabolic, enzymatic, and chemical labeling, and techniques that can be employed for comparative and absolute quantitation are presented. Advantages and drawbacks of the techniques are discussed, and suggestions for the appropriate uses of the methodologies are explained. Overall, the metabolic incorporation of isotopic labels provides the most accurate labeling strategy, and is most useful when an internal standard for comparative quantitation is needed. However, that technique is limited to research that uses cultured cells.

The proteome: anno Domini 2002

We present some current definitions related to functional and structural proteomics and the human proteome, and we review the following aspects of proteome analysis: Classical 2-D map analysis (isoelectric focusing (IEF) followed by SDS-PAGE); Quantitative proteomics (isotope-coded affinity tag (ICAT), fluorescent stains) and their use in e.g., tumor analysis and identification of new target proteins for drug development; Electrophoretic pre-fractionation (how to see the hidden proteome!); Multidimensional separations, such as: (a) coupled size-exclusion and reverse-phase (RP)-HPLC; (b) coupled ion-exchange and RP-HPLC; (c) coupled RP-HPLC and RP-HPLC at 25/60 degrees C; (d) coupled RP-HPLC and capillary electrophoresis (CE); (e) metal affinity chromatography coupled with CE; Protein chips. Some general conclusions are drawn on proteome analysis and we end this review by trying to decode the glass ball of the aruspex and answer the question: "Quo vadis, proteome"?

Quantitative proteomics using mass spectrometry

The use of stable isotopes as internal standards in mass spectrometry has opened a new era for quantitative proteomics. Depending on the point at which the label is introduced, most procedures can be classified as in vivo labeling, in vitro pre-digestion labeling or in vitro post-digestion labeling. In vivo labeling has been used for cells that can be grown in culture and has the advantage of being more accurate. The pre-digestion and post-digestion labeling procedures are suitable for all types of sample including human body fluids and biopsies. Several new mass spectrometric strategies mark significant achievements in determining relative protein concentrations and in quantifying post-translational modifications. However, further technology developments are needed for understanding the complexity of a dynamic system like the proteome.

Analysis of relative isotopologue abundances for quantitative profiling of complex protein mixtures labelled with the acrylamide/D3-acrylamide alkylation tag system

The new method of analysis of relative isotopologue abundances (ARIA) applied here is based on the evaluation of total isotope patterns of tryptic protein fragments measured by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOFMS) to calculate the mixing ratios of composites consisting of stable isotope labelled and isotopically natural (unlabelled) proteins, as described in an accompanying paper in this issue. Recently, Sechi (Rapid Commun. Mass Spectrom. 2002; 16: 1416-1424) and Gehanne et al. (Rapid Commun. Mass Spectrom. 2002; 16: 1692-1698) introduced the use of differential quantitative mass analysis by MALDI-TOFMS using mixtures of standard proteins alkylated prior to two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) with either acrylamide (AA) or deuterium-labelled [2,3,3'-D(3)]-acrylamide (D3AA). In the present study we validate the AA/D3AA system, firstly by measuring the yield of proteins alkylated with AA, and secondly by using differential radioactive labels ((125)I and (131)I) to quantitatively establish that non-comigration in 2D-PAGE is negligible. ARIA is then applied to quantitatively estimate the relative proportions of peptides labelled with AA or D3AA in the validated system, using typical silver-stained 2D-PAGE protein spots from 2D gels loaded with 150 microg of total liver protein. The precision and limitations of ARIA quantification of peptides differentially alkylated with isotopomeric reagents are discussed.

A new deuterated alkylating agent for quantitative proteomics

Weakly basic molecules containing a double bond, such as 2- and 4-vinylpyridine, are able to react and selectively alkylate -SH groups in proteins, thus preventing their re-oxidation to disulphide bridges. In contrast to conventional alkylating agents such as iodoacetamide and non-charged acrylamide derivatives, such molecules achieve 100% alkylation of all -SH residues, even in complex proteins, without reacting with other functional groups. Their use is particularly effective in proteome analysis and more generally for analyzing proteins in which the -SH groups should be blocked. Additionally, the use of vinylpyridines, partially or totally deuterated and thus with a mass difference compared with their non-deuterated counterparts of 4-7 Da, allows studies of induction/repression of protein synthesis (quantitative proteomics).

The human plasma proteome: history, character, and diagnostic prospects

The human plasma proteome holds the promise of a revolution in disease diagnosis and therapeutic monitoring provided that major challenges in proteomics and related disciplines can be addressed. Plasma is not only the primary clinical specimen but also represents the largest and deepest version of the human proteome present in any sample: in addition to the classical "plasma proteins," it contains all tissue proteins (as leakage markers) plus very numerous distinct immunoglobulin sequences, and it has an extraordinary dynamic range in that more than 10 orders of magnitude in concentration separate albumin and the rarest proteins now measured clinically. Although the restricted dynamic range of conventional proteomic technology (two-dimensional gels and mass spectrometry) has limited its contribution to the list of 289 proteins (tabulated here) that have been reported in plasma to date, very recent advances in multidimensional survey techniques promise at least double this number in the near future. Abundant scientific evidence, from proteomics and other disciplines, suggests that among these are proteins whose abundances and structures change in ways indicative of many, if not most, human diseases. Nevertheless, only a handful of proteins are currently used in routine clinical diagnosis, and the rate of introduction of new protein tests approved by the United States Food and Drug Administration (FDA) has paradoxically declined over the last decade to less than one new protein diagnostic marker per year. We speculate on the reasons behind this large discrepancy between the expectations arising from proteomics and the realities of clinical diagnostics and suggest approaches by which protein-disease associations may be more effectively translated into diagnostic tools in the future.

Modern strategies for protein quantification in proteome analysis: advantages and limitations

Over the last 3 years, a number of mass spectrometry-based methods for the simultaneous identification and quantification of individual proteins within complex mixtures have been reported. Most, if not all, of such strategies apply a two-step approach: the first for the separation of proteins or peptides, and the second uses mass spectrometry to identify and quantify the individual components. To simplify the outcome of both steps, certain chemicals and heavy-isotope-labeling are commonly used in the early stages of sample preparation (except in differential fluorescence labeling protocols). The ultimate goal of these strategies is to be able to identify every protein expressed in a cell or tissue, and to determine each protein's abundance, state of modification, and possible involvement in multi-protein complexes. In this review, an attempt is made to highlight the salient characteristics of the existing strategies with particular attention to their strengths and weaknesses.