2-D DIGE analysis of UV-C radiation-responsive proteins in globe artichoke leaves

Plants respond to ultraviolet stress inducing a self-defence through the regulation of specific gene family members. The UV acclimation is the result of biochemical and physiological processes, such as enhancement of the antioxidant enzymatic system and accumulation of UV-absorbing phenolic compounds (e.g. flavonoids). Globe artichoke is an attractive species for studying the protein network involved in UV stress response, being characterized by remarkable levels of inducible antioxidants. Proteomic tools can assist the evaluation of the expression patterns of UV-responsive proteins and we applied the difference in-gel electrophoresis (DIGE) technology for monitoring the globe artichoke proteome variation at four time points following an acute UV-C exposure. A total of 145 UV-C-modulated proteins were observed and 119 were identified by LC-MS/MS using a ～144,000 customized Compositae protein database, which included about 19,000 globe artichoke unigenes. Proteins were Gene Ontology (GO) categorized, visualized on their pathways and their behaviour was discussed. A predicted protein interaction network was produced and highly connected hub-like proteins were highlighted. Most of the proteins differentially modulated were chloroplast located, involved in photosynthesis, sugar metabolisms, protein folding and abiotic stress. The identification of UV-C-responsive proteins may contribute to shed light on the molecular mechanisms underlying plant responses to UV stress.     

Identification of differentially expressed proteins in blood plasma of control and cigarette smoke-exposed mice by 2-D DIGE/MS

Cigarette smoke exposure is known to induce obstructive lung disease and several cardiovascular disease states in humans and also in animal models. Smoking leads to oxidative stress and inflammation that are important in triggering pulmonary and cardiovascular disease. The objective of the current study was to quantify differences in expression levels of plasma proteins of cigarette smoke -exposed and control mice, at the time of disease onset, and identify these proteins for use as potential biomarkers of the onset of smoking-induced disease. We utilized 2-D DIGE/MS to characterize these proteomic changes. 2-D DIGE of plasma samples identified 11 differentially expressed proteins in cigarette smoke -exposed mice. From these 11 proteins, 9 were downregulated and 2 were upregulated. The proteins identified are involved in vascular function, coagulation, metabolism and immune function. Among these, the alterations in fibrinogen (2.2-fold decrease), α-1-antitrypsin (1.8-fold increase) and arginase (4.5-fold decrease) are of particular interest since these have been directly linked to cardiovascular and lung pathology. Differences in expression levels of these proteins were also confirmed by immunoblotting. Thus, we observe that chronic cigarette smoke exposure in mice leads to prominent changes in the protein expression profile of blood plasma and these changes in turn can potentially serve as markers predictive of the onset and progression of cardiovascular and pulmonary disease.     

Identification by 2-D DIGE of apoplastic proteins regulated by oligogalacturonides in Arabidopsis thaliana

Oligogalacturonides (OGs) are elicitors of plant defence responses released from the homogalacturonan of the plant cell wall during the attack by pathogenic micro-organisms. The signalling pathway mediated by OGs remains poorly understood, and no proteins involved in their signal perception and transduction have yet been identified. In order to shed light into the molecular pathways regulated by OGs, a differential proteomic analysis has been carried out in Arabidopsis. Proteins from the apoplastic compartment were isolated and their expression compared between control and OG-treated seedlings. 2-D gels and difference in gel electrophoresis (DIGE) techniques were used to compare control and treated proteomes in the same gel. The analysis of subcellular proteomes from seedlings allowed the identification of novel and low abundance proteins that otherwise remain masked when total cellular extracts are investigated. The DIGE technique showed to be a powerful tool to overcome the high interexperiment variation of 2-D gels. Differentially expressed apoplastic proteins were identified by MS and included proteins putatively involved in recognition as well as proteins whose PTMs are regulated by OGs. Our findings underscore the importance of cell wall as a source of molecules playing a role in the perception of pathogens and provide candidate proteins involved in the response to OGs.     

Analysis of the HUPO Brain Proteome reference samples using 2-D DIGE and 2-D LC-MS/MS

Within the Human Proteome Organization (HUPO) Brain Proteome Project, a pilot study was launched with reference samples shipped to nine international laboratories (see Hamacher et al., this Special Issue) to evaluate different proteome approaches in neuroscience and to build up a first version of a brain protein database. One part of the study addresses quantitative proteome alterations between three developmental stages (embryonic day 16; postnatal day 7; 8 weeks) of mouse brains. Five brains per stage were differentially analyzed by 2-D DIGE using internal standardization and overlapping pH gradients (pH 4-7 and 6-9). In total, 214 protein spots showing stage-dependent intensity alterations (> two-fold) were detected, 56 of which were identified. Several of them, e.g. members of the dihydropyrimidinase family, are known to be associated with brain development. To feed the HUPO BPP brain protein database, a robust 2-D LC-MS/MS method was applied to murine postnatal day 7 and human post-mortem brain samples. Using MASCOT and the IPI database, 350 human and 481 mouse proteins could be identified by at least two different peptides. The data are accessible through the PRIDE database (http://www.ebi.ac.uk/pride/).     

Biological versus technical variability in 2-D DIGE experiments with environmental bacteria

Two-dimensional difference gel electrophoresis (2-D DIGE) allows for reliable quantification of global protein abundance changes. The threshold of significance for protein abundance changes depends on the experimental variation (biological and technical). This study estimates biological, technical and total variation inherent to 2-D DIGE analysis of environmental bacteria, using the model organisms "Aromatoleum aromaticum" EbN1 and Phaeobacter gallaeciensis DSM 17395. Of both bacteria the soluble proteomes were analyzed from replicate cultures. For strains EbN1 and DSM 17395, respectively, CV revealed a total variation of below 19 and 15%, an average technical variation of 12 and 7%, and an average biological variation of 18 and 17%. Multivariate analysis of variance confirmed domination of biological over technical variance to be significant in most cases. To visualize variances, the complex protein data have been plotted with a multidimensional scaling technique. Furthermore, comparison of different treatment groups (different substrate conditions) demonstrated that variability within groups is significantly smaller than differences caused by treatment.     

Application of 2-D DIGE to formalin-fixed, paraffin-embedded tissues

The ability to investigate the proteome of formalin-fixed, paraffin-embedded (FFPE) tissues can be considered a major recent achievement in the field of clinical proteomics. However, gel-based approaches to the investigation of FFPE tissue proteomes have lagged behind, mainly because of insufficient quality of full-length protein extracts. Here, the 2-D DIGE technology was investigated for applicability to FFPE proteins, for internal reproducibility among replicate FFPE extracts, and for comparability between FFPE and fresh-frozen tissue profiles. The 2-D DIGE patterns obtained upon labeling and electrophoresis of replicate FFPE tissue extracts were highly reproducible, with satisfactory resolution and complexity. Moreover, the implementation of DIGE enabled to highlight and characterize the consistent differences found in the FFPE profiles compared with fresh-frozen profiles, represented by an acidic shift, directly correlated to the protein pI value, and by a reduction in spot signal intensity, directly correlated to molecular weight and percentage of lysine residues. Being constantly and reproducibly present in all FFPE tissue extract replicates at similar extents, these modifications do not appear to hinder the comparative analysis of FFPE tissue extracts by 2-D DIGE, opening the way to its application for the differential proteomic investigation of archival tissue repositories.     

Application of 2-D DIGE to survey the quality of biological medicines

2-D DIGE was used to investigate 'fingerprint proteins' in biological medicines. A presumably non-originator human albumin was analysed, and the 2-D DIGE patterns of the non-genuine and the authentic product were compared. The products could be clearly distinguished based on the pattern of minor components, which represent plasma proteins and degradation products remaining in the final products after fractionation and purification. The approach demonstrated that 2-D DIGE is an excellent tool for the analysis of biologicals of different sources and for ensuring the identity and quality of blood products.     

2-D DIGE uterine endothelial proteomic profile for maternal chronic binge-like alcohol exposure

Little is known about alcohol effects on the utero-placental compartment during pregnancy. For the first time, we utilized 2-D DIGE quantitative proteomics to evaluate the role of the uterus in Fetal Alcohol Spectrum Disorders (FASD) pathogenesis. Uterine artery endothelial cells were isolated from pregnant ewes, FAC sorted, validated, and maintained in culture. To mimic maternal binge drinking patterns, cells were cultured in the absence or presence of alcohol (300 mg/dl) in a compensating sealed humidified chamber system equilibrated with aqueous alcohol for 3 h on 3 consecutive days for two weeks. CyDye switch combined with 2-D DIGE followed by MALDI-TOF and tandem MS/MS were utilized. Validation was performed using Western immunoblot analysis. Chronic binge-like alcohol significantly (P<0.05) decreased 30 proteins and increased 19 others. Gene-enrichment and functional annotation cluster analysis revealed significant enrichment (P<0.05) in three categories: glutathione S transferase, thioredoxin, and vesicle transport-related. Furthermore, alcohol differentially altered proteins with certain isoforms being downregulated while others were upregulated. In summary, binge alcohol has specific effects on the maternal uterine proteome, especially those related to oxidative stress. The current study also demonstrates a great need to utilize proteomic approaches for diagnostic, mechanistic and therapeutic aspects of FASD.     

All about DIGE: quantification technology for differential-display 2D-gel proteomics

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.     

All about DIGE: quantification technology for differential-display 2D-gel proteomics

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.     

2-D DIGE analysis of butyrate-treated HCT-116 cells after enrichment with heparin affinity chromatography

Butyrate, a 4-carbon short chain fatty acid, is responsible for the protective effects of fiber in colorectal cancer prevention. To better understand the 'blueprint' of butyrate's chemopreventive role in this disease, we performed 2-dimensional difference gel electrophoresis (2-D DIGE) of butyrate-treated HCT-116 colorectal cancer cells after pre-fractionation using heparin affinity chromatography. A combination of this enrichment step with overlapping narrow range IPGs (pH 4-7 and pH 6-11) in 2-D DIGE resulted in the detection of 46 differentially expressed spots. Twenty-four of these were identified by MS analyses, and 5 spots were found to be heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1). Three isoforms of 38 kDa were down-regulated while two with Mr approximately 26 kDa were up-regulated. These represent phosphorylated isoforms of hnRNP A1 as verified by immunoblotting with anti-phosphotyrosine and anti-phosphoserine antibodies. Using 2-DE, subcellular fractionation and western blot analysis, we further showed that full-length hnRNP A1 underwent down-regulation, cleavage and cytoplasmic retention upon butyrate treatment. These indicate that modulations of hnRNP A1 may play a significant role in the mediation of growth arrest and apoptosis by butyrate.     

Characterization of Phleum pratense pollen extracts by 2-D DIGE and allergen immunoreactivity

The allergen content of standardized pollen material is crucial for an effective diagnosis and treatment. However, variations in IgE reactivities of allergic patients to different preparations of Phleum pratense pollen have been reported. In order to define and directly compare the allergen composition of pollen preparations provided by different suppliers, a comprehensive proteome analysis of three different timothy grass pollen extracts was performed. More than 140 proteins were annotated comprising the pollen proteome/allergome in a global 2-D map. With regard to the individual pollen preparations, several major differences in the overall protein composition were detected that also affected known Phleum allergens and their isoforms. Importantly, these differences were also reflected at the level of antibody reactivities in 1-D and 2-D immunoblots. As a consequence, it is suggested that the observed differences should be taken into consideration aiming for a standardized diagnosis and therapy of grass pollen allergies as recommended by international medical agencies.     

2-D DIGE as a quantitative tool for investigating the HUPO Brain Proteome Project mouse series

Brain development and aging is a complex process involving proliferation, differentiation and apoptosis. Elucidating proteome changes in these processes can help to understand the mechanisms of brain development and maintenance as well as neurodegenerative diseases. The research reported here is a contribution to the HUPO Brain Proteome Project mouse pilot study. Whole, frozen C57BL/6J mouse brain comprising three different developmental stages (embryonic day 16, postnatal day 7, and postnatal days 54-58) were processed by using 2-D DIGE. A total of 1999 spots were matched between all gels. Of these, 206 spots were differentially expressed between the different stages: 122 spots were highest in intensity in embryonic stage E16, 26 highest in the juvenile group P7 and 58 spots highest in P56, the adult stage. The results show a pattern of temporal expression. Based on the expression patterns we tentatively suggest that proteins involved in the establishment of primary structures in the brain are expressed highest in the embryonic mouse. Proteins involved in the development of the brain are expressed highest in the juvenile phase and proteins that make utilization of the brain possible by delivering energy are expressed highest in the adult mice.     

2-D DIGE analysis of the budding yeast pH 6-11 proteome in meiosis

Meiosis is the cell division that generates haploid gametes from diploid precursors. To provide insight into the functional proteome of budding yeast during meiosis, a 2-D DIGE kinetic approach was used to study proteins in the pH 6-11 range. Nearly 600 protein spots were visualised and 79 spots exhibited statistically significant changes in abundance as cells progressed through meiosis. Expression changes of up to 41-fold were detected and protein sequence information was obtained for 48 spots. Single protein identifications were obtained for 21 spots including different gel mobility forms of 5 proteins. A large number of post-translational events are suggested for these proteins, including processing, modification and import. The data are incorporated into an online 2-DE map of meiotic proteins in budding yeast, which extends our initial DIGE investigation of proteins in the pH 4-7 range. Together, the analyses provide peptide sequence data for 84 protein spots, including 50 single-protein identifications and gel mobility isoforms of 8 proteins. The largest classes of identified proteins include carbon metabolism, protein catabolism, protein folding, protein synthesis and the oxidative stress response. A number of the corresponding genes are required for yeast meiosis and recent studies have identified similar classes of proteins expressed during mammalian meiosis. This proteomic investigation and the resulting protein reference map make an important contribution towards a more detailed molecular view of yeast meiosis.     

2-D DIGE analyses of enriched secretory lysosomes reveal heterogeneous profiles of functionally relevant proteins in leukemic and activated human NK cells

As part of the innate immune system, natural killer (NK) cells detect and lyse tumor and virus-infected cells without prior antigen-dependent recognition and expansion. To this end, they utilize dual-function organelles that combine properties of conventional lysosomes and exocytotic vesicles. Upon stimulation, these secretory lysosomes (SLs) release their cytotoxic molecules into the immunological synapse. In addition, several molecules associated with secretory vesicles become exposed on the plasma membrane. Recent studies often took advantage of the few established NK cell lines, for instance to analyze the exocytotic machinery associated with NK cell vesicles. NK cell lines and primary NK cells differ, however, substantially in the expression of "typical" surface receptors and their requirements to induce target cell lysis. Here, we directly compared the lysosomal compartments of different NK cell populations. We enriched SLs of two leukemic cell lines (YTS and NKL) and IL-2-expanded NK cells by subcellular fractionation and characterized their proteome by 2-D difference gel electrophoresis and MS. Although the overall protein composition of the lysosomal preparations was very similar and more than 90% of the proteins were present at comparable levels, we define a cell line-specific setup of functionally relevant proteins involved in antigen presentation and cytotoxic effector function.     

Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data

This study assesses the ability of a novel family of machine learning algorithms to identify changes in relative protein expression levels, measured using 2-D DIGE data, which support accurate class prediction. The analysis was done using a training set of 36 total cellular lysates comprised of six normal and three cancer biological replicates (the remaining are technical replicates) and a validation set of four normal and two cancer samples. Protein samples were separated by 2-D DIGE and expression was quantified using DeCyder-2D Differential Analysis Software. The relative expression reversal (RER) classifier correctly classified 9/9 training biological samples (p<0.022) as estimated using a modified version of leave one out cross validation and 6/6 validation samples. The classification rule involved comparison of expression levels for a single pair of protein spots, tropomyosin isoforms and alpha-enolase, both of which have prior association as potential biomarkers in cancer. The data was also analyzed using algorithms similar to those found in the extended data analysis package of DeCyder software. We propose that by accounting for sources of within- and between-gel variation, RER classifiers applied to 2-D DIGE data provide a useful approach for identifying biomarkers that discriminate among protein samples of interest.     

In search of secreted protein biomarkers for the anti-inflammatory effect of beta2-adrenergic receptor agonists: application of DIGE technology in combination with multivariate and univariate data analysis tools

Two-dimensional difference gel electrophoresis (DIGE) in combination with univariate (Student's t-test) and multivariate data analysis, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to study the anti-inflammatory effects of the beta(2)-adrenergic receptor (beta(2)-AR) agonist zilpaterol. U937 macrophages were exposed to the endotoxin lipopolysaccharide (LPS) to induce an inflammatory reaction, which was inhibited by the addition of zilpaterol (LZ). This inhibition was counteracted by addition of the beta(2)-AR antagonist propranolol (LZP). The extracellular proteome of the U937 cells induced by the three treatments were examined by DIGE. PCA was used as an explorative tool to investigate the clustering of the proteome dataset. Using this tool, the dataset obtained from cells treated with LPS and LZP were separated from those obtained from LZ treated cells. PLS-DA, a multivariate data analysis tool that also takes correlations between protein spots and class assignment into account, correctly classified the different extracellular proteomes and showed that many proteins were differentially expressed between the proteome of inflamed cells (LPS and LZP) and cells in which the inflammatory response was inhibited (LZ). The Student's t-test revealed 8 potential protein biomarkers, each of which was expressed at a similar level in the LPS and LZP treated cells, but differently expressed in the LZ treated cells. Two of the identified proteins, macrophage inflammatory protein-1beta (MIP-1beta) and macrophage inflammatory protein-1alpha (MIP-1alpha) are known secreted proteins. The inhibition of MIP-1beta by zilpaterol and the involvement of the beta(2)-AR and cAMP were confirmed using a specific immunoassay.     

2-D DIGE analysis of liver and red blood cells provides further evidence for oxidative stress in schizophrenia

The molecular disease mechanisms associated with schizophrenia remain largely unknown. Although primarily considered a disorder of the brain, there is evidence of a peripheral component to schizophrenia. In this study, we investigated liver tissue and red blood cells (RBC) from schizophrenia patients and controls using 2-D DIGE proteomic analysis. Fourteen proteins were significantly altered in liver samples from schizophrenia patients (n = 15) compared to healthy controls (n = 15). Analysis of the schizophrenia RBC proteome revealed 8 proteins significantly altered in samples from schizophrenia patients (13 antipsychotic-treated and 7 drug-na?ve) compared to controls (n = 20). Six of the altered proteins in the liver and four of the altered RBC proteins are related to oxidative stress. These results corroborate our earlier findings obtained from post-mortem brain studies and substantiate our hypothesis that metabolic alterations leading to oxidative stress are linked to the schizophrenia disease process. Our results also suggest that at least some of the pathological processes associated with the schizophrenia disease process can be traced in peripheral tissue. If peripheral cells can be used as a disease surrogate, promising new investigative avenues could be explored.     

Analysis of Leishmania chagasi by 2-D difference gel electrophoresis (2-D DIGE) and immunoproteomic: identification of novel candidate antigens for diagnostic tests and vaccine

Identification of novel antigens is essential for developing new diagnostic tests and vaccines. We used DIGE to compare protein expression in amastigote and promastigote forms of Leishmania chagasi. Nine hundred amastigote and promastigote spots were visualized. Five amastigote-specific, 25 promastigote-specific, and 10 proteins shared by the two parasite stages were identified. Furthermore, 41 proteins were identified in the Western blot employing 2-DE and sera from infected dogs. From these proteins, 3 and 38 were reactive with IgM and total IgG, respectively. The proteins recognized by total IgG presented different patterns in terms of their recognition by IgG1 and/or IgG2 isotypes. All the proteins selected by Western blot were mapped for B-cell epitopes. One hundred and eighty peptides were submitted to SPOT synthesis and immunoassay. A total of 25 peptides were shown of interest for serodiagnosis to visceral leishmaniasis. In addition, all proteins identified in this study were mapped for T cell epitopes by using the NetCTL software, and candidates for vaccine development were selected. Therefore, a large-scale screening of L. chagasi proteome was performed to identify new B and T cell epitopes with potential use for developing diagnostic tests and vaccines.