Determining a significant change in protein expression with DeCyder during a pair-wise comparison using two-dimensional difference gel electrophoresis

Two-dimensional difference gel electrophoresis (DIGE) is a tool for measuring changes in protein expression between samples involving pre-electrophoretic labeling with cyanine dyes. Here we assess a common method to analyze DIGE data using the DeCyder software system. Experimental error was studied by a series of same sample comparisons. Aliquots of sample were labeled with N-hydroxyl succinimidyl ester-derivatives of Cy2, Cy3, and Cy5 dyes and run together on one gel. This allowed assessment of how experimental error influenced differential expression analysis. Bias in the log volume ratios was observed, which could be explained by differences in dye background. Further complications are caused by significant gel-to-gel variation in the spot volume ratio distributions. Using DeCyder alone results in an inability to define ratio thresholds for 90 or 95% confidence. An alternative normalization method was thus applied which resulted in improved data distribution and allowed greater sensitivity in analysis. When combined with a standardizing function, this allowed gel-independent thresholds for 90% confidence. The new approach, detailed here, represents a method to greatly improve the success of DIGE data analysis.     

Hierarchical analysis of large-scale two-dimensional gel electrophoresis experiments

Large-scale two-dimensional gel experiments have the potential to identify proteins that play an important role in elucidating cell mechanisms and in various stages of drug discovery. Such experiments, typically including hundreds or even thousands of related gels, are notoriously difficult to perform, and analysis of the gel images has until recently been virtually impossible. In this paper we describe a scalable computational model that permits the organization and analysis of a large gel collection. The model is implemented in Compugen's Z4000 system. Gels are organized in a hierarchical, multidimensional data structure that allow the user to view a large-scale experiment as a tree of numerous simpler experiments, and carry out the analysis one step at a time. Analyzed sets of gels form processing units that can be combined into higher level units in an iterative framework. The different conditions at the core of the experiment design, termed the dimensions of the experiment, are transformed from a multidimensional structure to a single hierarchy. The higher level comparison is performed with the aid of a synthetic "adaptor" gel image, called a Raw Master Gel (RMG). The RMG allows the inclusion of data from an entire set of gels to be presented as a gel image, thereby enabling the iterative process. Our model includes a flexible experimental design approach that allows the researcher to choose the condition to be analyzed a posteriori. It also enables data reuse, the performing of several different analysis designs on the same experimental data. The stability and reproducibility of a protein can be analyzed by tracking it up or down the hierarchical dimensions of the experiment.     

Statistical analysis of the experimental variation in the proteomic characterization of human plasma by two-dimensional difference gel electrophoresis

The complexity of human plasma presents a number of challenges to the efficient and reproducible proteomic analysis of differential expression in response to disease. Before individual variation and disease-specific protein biomarkers can be identified from human plasma, the experimental variability inherent in the protein separation and detection techniques must be quantified. We report on the variation found in two-dimensional difference gel electrophoresis (2-D DIGE) analysis of human plasma. Eight aliquots of a human plasma sample were subjected to top-6 highest abundant protein depletion and were subsequently analyzed in triplicate for a total of 24 DIGE samples on 12 gels. Spot-wise standard deviation estimates indicated that fold changes greater than 2 can be detected with a manageable number of replicates in simple ANOVA experiments with human plasma. Mixed-effects statistical modeling quantified the effect of the dyes, and segregated the spot-wise variance into components of sample preparation, gel-to-gel differences, and random error. The gel-to-gel component was found to be the largest source of variation, followed by the sample preparation step. An improved protocol for the depletion of the top-6 high-abundance proteins is suggested, which, along with the use of statistical modeling and future improvements in gel quality and image processing, can further reduce the variation and increase the efficiency of 2-D DIGE proteomic analysis of human plasma.     

Proteomic analysis of rat heart in ischemia and ischemia-reperfusion using fluorescence two-dimensional difference gel electrophoresis

Ischemia-reperfusion injury is a major complication occurring in acute myocardial infarction, cardiopulmonary bypass surgery, and heart transplantation. The aim of this study was to identify proteins that were involved in ischemia-reperfusion injury using fluorescence two-dimensional difference gel electrophoresis. We compared the 100,000 x g precipitate fractions of normal, ischemic and ischemia-reperfused rat hearts and detected six spots which changed more than two-fold in expression level and two additional spots related to these spots. Using peptide mass fingerprinting by matrix-assisted laser desorption/ionization-time of flight mass spectrometry, we identified five of these spots as protein disulfide isomerase A3 (PDA3), one as 60 kDa heat shock protein (HSP60) and two as elongation factor Tu (EF-Tu). HSP60 was increased during ischemia and decreased to normal expression level after reperfusion. EF-Tu was increased in ischemia but not decreased by reperfusion. We also found that several protein spots of PDA3 shifted towards a higher isoelectric point in ischemia and ischemia-reperfusion. Our data strongly suggested that PDA3 underwent dephosphorylation during ischemia and reperfusion and serine 343 of PDA3 was one of the phosphorylation sites.     

Proteomic analysis of protein expression profiles during Caenorhabditis elegans development using two-dimensional difference gel electrophoresis

Coordinated protein expression is critical for the normal execution of animal development. To obtain overall proteome profiles during animal development, a small free-living soil nematode, Caenorhabditis elegans, was used as a model and the developmental changes of protein expressions were analyzed using two-dimensional difference gel electrophoresis. Protein samples from six developmental stages were prelabeled with fluorescent cyanine dyes and separated on two-dimensional electrophoresis gels. Image-to-image analysis of protein abundances together with protein identification by peptide mass fingerprinting yielded the developmental expression profiles of 231 spots representing 165 proteins. About a quarter of the identified proteins were expressed in multiple spots with different isoelectric points, suggesting a certain proportion of proteins were variously modified. This notion was supported by the observation that about a third of the multispot proteins were stained positive for a phosphoprotein specific dye. While a fairly large number of the proteins showed little alteration in their expression profiles during development, about 40 proteins were found to be significantly either up- or down-regulated between the embryos and newly hatched L1 larvae. Down-regulated proteins included those related to the cell cycle such as MCM-7, PCN-1, and the mitotic checkpoint protein, while up-regulated proteins included structural proteins such as actins, LEV-11, DIM-1, VAB-21, metabolic enzymes such as ATP synthase, ALH-12, fluctose-1,6-bisphosphate aldolase and GPD-3, and galectins. A standard proteome map was obtained where the defects in the mutations of developmental genes and the effects of reagents on the development in C. elegans were analyzed.     

Subpicogram analysis of sweat proteins using two-dimensional polyacrylamide gel electrophoresis

Sweat collected from six normal volunteers was analyzed to determine if reproducible protein patterns could be obtained using two-dimensional polyacrylamide gel electrophoresis of ¹²⁵I-labeled sweat proteins. This method has the capability of easily detecting picogram quantities of protein. Once the methods of collection of the sweat had been standardized, reproducible patterns were obtained from these volunteers. Over 100 discrete spots were revealed by a combination of fluorography and rare earth screen radioautography of dried two-dimensional gels. This method will allow analysis of sweat for qualitative and quantitative variations in protein content in pathologic conditions such as cystic fibrosis, renal failure, and diabetes.     

Statistical models of shape for the analysis of protein spots in two-dimensional electrophoresis gel images

In image analysis of two-dimensional electrophoresis gels, individual spots need to be identified and quantified. Two classes of algorithms are commonly applied to this task. Parametric methods rely on a model, making strong assumptions about spot appearance, but are often insufficiently flexible to adequately represent all spots that may be present in a gel. Nonparametric methods make no assumptions about spot appearance and consequently impose few constraints on spot detection, allowing more flexibility but reducing robustness when image data is complex. We describe a parametric representation of spot shape that is both general enough to represent unusual spots, and specific enough to introduce constraints on the interpretation of complex images. Our method uses a model of shape based on the statistics of an annotated training set. The model allows new spot shapes, belonging to the same statistical distribution as the training set, to be generated. To represent spot appearance we use the statistically derived shape convolved with a Gaussian kernel, simulating the diffusion process in spot formation. We show that the statistical model of spot appearance and shape is able to fit to image data more closely than the commonly used spot parameterizations based solely on Gaussian and diffusion models. We show that improvements in model fitting are gained without degrading the specificity of the representation.     

Statistical exploration of variation in quantitative two-dimensional gel electrophoresis data

Two-dimensional gel electrophoresis is a major technique in global analysis at the protein level. This paper presents an examination of spot volume data from three gel sets with radioactively labeled yeast Saccharomyces cerevisiae proteins. A strong variance versus mean dependence in data was found to be stabilized by applying a shifted logarithmic transformation. However, transformed data showed a remaining substantial variance heterogeneity for different proteins. Furthermore, examination of studentized residuals revealed that transformed data were approximately normally distributed and that there were spatial correlations among the measurement errors in the gel.     

Proteomic analysis of human saliva from lung cancer patients using two-dimensional difference gel electrophoresis and mass spectrometry

Lung cancer is often asymptomatic or causes only nonspecific symptoms in its early stages. Early detection represents one of the most promising approaches to reduce the growing lung cancer burden. Human saliva is an attractive diagnostic fluid because its collection is less invasive than that of tissue or blood. Profiling of proteins in saliva over the course of disease progression could reveal potential biomarkers indicative of oral or systematic diseases, which may be used extensively in future medical diagnostics. There were 72 subjects enrolled in this study for saliva sample collection according to the approved protocol. Two-dimensional difference gel electrophoresis combined with MS was the platform for salivary proteome separation, quantification, and identification from two pooled samples. Candidate proteomic biomarkers were verified and prevalidated by using immunoassay methods. There were 16 candidate protein biomarkers discovered by two-dimensional difference gel electrophoresis and MS. Three proteins were further verified in the discovery sample set, prevalidation sample set, and lung cancer cell lines. The discriminatory power of these candidate biomarkers in lung cancer patients and healthy control subjects can reach 88.5% sensitivity and 92.3% specificity with AUC = 0.90. This preliminary data report demonstrates that proteomic biomarkers are present in human saliva when people develop lung cancer. The discriminatory power of these candidate biomarkers indicate that a simple saliva test might be established for lung cancer clinical screening and detection.     

Quantitative analysis of mitochondrial protein expression in methylmalonic acidemia by two-dimensional difference gel electrophoresis

Isolated methylmalonic acidemia (MMA) is a rare metabolic disease due to the deficient activity of L-methylmalonyl-CoA mutase (MCM). This mitochondrial enzyme converts L-methylmalonyl-CoA to succinyl-CoA using adenosylcobalamin (Adocbl) as cofactor. Isolated MMA is subdivided into five forms: mut MMA associated with MCM deficiency, three different defects related to mitochondrial Adocbl formation (cblA, cblB, and cblH), and cblD variant 2. We performed proteomic analysis on mitochondria from an individual with cblH/cblD disorder using 2-D DIGE to identify differentially expressed proteins in this disease. Comparative analysis of control/patient mitochondrial proteome allowed us to identify differential expression of 10 proteins. The most notable groups included proteins involved in apoptosis (cytochrome c), oxidative stress (manganese superoxide dismutase) and cell metabolism (succinyl-CoA ligase (GDP forming) and mitochondrial glycerophosphate dehydrogenase). Immunoblot analysis further validated 2-D DIGE results of two of these proteins in multiple MMA patients, suggesting that the differences in expression are a general effect in this disorder. It is feasible that the differential proteins identified in this study have a biological significance and might be related to the pathophysiology of MMA.     

A novel experimental design for comparative two-dimensional gel analysis: two-dimensional difference gel electrophoresis incorporating a pooled internal standard

The comparison of two-dimensional (2-D) gel images from different samples is an established method used to study differences in protein expression. Conventional methods rely on comparing images from at least 2 different gels. Due to the high variation between gels, detection and quantification of protein differences can be problematic. Two-dimensional difference gel electrophoresis (Ettan trade mark DIGE) is an emerging technique for comparative proteomics, which improves the reproducibility and reliability of differential protein expression analysis between samples. In the application of DIGE different samples are labelled with mass and charge matched spectrally resolvable fluorescent dyes and are then separated on the same 2-D gel. Using an Escherichia coli lysate "spiked" with varying amounts of four different known proteins, we have tested a novel experimental design that exploits the sample multiplexing capabilities of DIGE, by including a standard sample in each gel. The standard sample comprises equal amounts of each sample to be compared and was found to improve the accuracy of protein quantification between samples from different gels allowing accurate detection of small differences in protein levels between samples.     

Fluorescent two-dimensional difference gel electrophoresis unveils the potential of gel-based proteomics

Comparing different proteomes by classical two-dimensional electrophoresis is challenging and often complicated by substantial gel-to-gel variation. Separating two or more protein samples labelled with different fluorescent dyes in one single gel, as in two-dimensional difference gel electrophoresis, reduces this variability considerably. Recent technological innovations, specifically the introduction of a pooled internal standard, even further improve the quantification accuracy and statistical confidence of this method. In addition, decreasing the sample complexity by one of several protein or organelle fractionation procedures increases the number of spots investigated by this protein differential display methodology.     

Comparative proteomic analysis for hCTLA4Ig production in transgenic rice suspension cultures using two-dimensional difference gel electrophoresis

The new technology, two-dimensional difference gel electrophoresis (2D DIGE), uses fluorescent dyes to simplify the process of detecting and matching proteins between multiple gels by allowing for the separation of up to three separate protein samples within the same gel. In this study, recombinant human cytotoxic T lymphocyte-associated antigen 4-immunoglobulin (hCTLA4lg) was produced in transgenic rice suspension cell cultures and the intracellular proteins were analyzed by 2D DIGE. The highest level of hCTLA4Ig (25.4 mg/L) was obtained five days after induction. The intracellular proteins expressed at both the growth and induction culture stages were separated and analyzed using DeCyder software. At least 2,218 spots were detected with two-fold thresholds and 95% confidence. We found that 29 spots increased and 20 spots decreased in their intensities during the production of recombinant hCTLA4Ig. In addition, the 2D Western blot of hCTLA4Ig revealed that this fusion protein was expressed in a variety of isoforms.     

Identification of post-translational modifications that occur during sperm maturation using difference in two-dimensional gel electrophoresis

Difference in two-dimensional (2-D) gel electrophoresis (DIGE) is a novel method for analyzing up to three samples in one 2-D gel and using the information gained to study post-translational modifications of proteins. We describe the use of DIGE to isolate and characterize those proteins that undergo processing in spermatozoa as they transit the epididymal tract. We find up to 60 protein spots are significantly modified as sperm traverse the epididymis. In this article, we report eight unambiguous protein identifications and demonstrate that one protein, the beta-subunit of the mitochondrial F1-ATPase, is serine-phosphorylated as sperm undergo epididymal maturation. We suggest that phosphorylation of this particular protein in a cAMP-dependent manner may contribute to the mechanisms by which motility is conferred upon spermatozoa.     

Evaluation of saturation labelling two-dimensional difference gel electrophoresis fluorescent dyes

Two-dimensional difference gel electrophoresis (2-D DIGE) enables an increased confidence in detection of protein differences. However, due to the nature of the minimal labelling where only approximately 5% of a given protein is labelled, spots cannot be directly excised for mass spectrometry (MS) analysis and detection sensitivity could be further enhanced. Amersham Biosciences have developed a second set of CyDye DIGE Cy 3 and Cy5 dyes, which aim to overcome these limitations through saturation-labelling of cysteine residues. The dyes were evaluated in relation to their sensitivity and dynamic range, their useability as multiplexing reagents and the possibility of direct spot picking from saturation-labelled gels for MS analysis. The saturation-labelling dyes were superior in sensitivity to their minimal-labelling counterparts, silver stain and Sypro Ruby, however, the resulting 2-D spot pattern was significantly altered from that of unlabelled or minimal-labelled protein. The dyes were found to be useful as multiplexing reagents although preferential labelling of proteins with one dye over another was observed but was controlled for through experimental design. Protein identities were successfully obtained from material directly excised from saturation-labelled gels eliminating the need for post-stained preparative gels.     

Fluorescence two-dimensional difference gel electrophoresis and mass spectrometry based proteomic analysis of Escherichia coli

Separation and relative quantitation of complex protein mixtures remain two of the most challenging aspects of proteomics. Here an advanced technique called fluorescence difference 2-D gel electrophoresis technology (2D-DIGE) has been applied to a model system study of the Escherichia coli proteome after benzoic acid treatment. The molecular weight and charge matched cyanine dyes enable pre-electrophoretic labelling of control and treated samples which are then mixed and run in the same gel. Pooled control and treated samples labelled with Cy trade mark 3 were used as an internal standard for both Cy5 labelled control and treated E. coli samples. Together with DeCyder trade mark imaging analysis software, more accurate quantitative analysis than conventional two-dimensional polyacrylamide gel electrophoresis was achieved. Using matrix-assisted laser desorption/ionization-time of flight and quadrupole-time of flight mass spectrometry a total of 179 differentially expressed protein spots were identified. These included enzymes, stress related and substrate (e.g. amino acids, maltose, ribose and TRP repressor) binding proteins. Of the spots analysed, 77% contained only one protein species per spot, hence the change in protein expression measured was solely attributed to the identified protein. Many membrane proteins and protein isoforms were identified indicating both adequate solubilization of E. coli samples and potential post-translational modification. The results indicate that the regulatory mechanisms following benzoic acid treatment of E. coli are far more complicated than hitherto expected.     

Proteome analysis of human colon cancer by two-dimensional difference gel electrophoresis and mass spectrometry

Two-dimensional difference gel electrophoresis (2-D DIGE) coupled with mass spectrometry (MS) was used to investigate tumor-specific changes in the proteome of human colorectal cancers and adjacent normal mucosa. For each of six patients with different stages of colon cancer, Cy5-labeled proteins isolated from tumor tissue were combined with Cy3-labeled proteins isolated from neighboring normal mucosa and separated on the same 2-D gel along with a Cy2-labeled mixture of all 12 normal/tumor samples as an internal standard. Over 1500 protein spot-features were analyzed in each paired normal/tumor comparison, and using DIGE technology with the mixed-sample internal standard, statistically significant quantitative comparisons of each protein abundance change could be made across multiple samples simultaneously without interference due to gel-to-gel variation. Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) and tandem (TOF/TOF) MS provided sensitive and accurate mass spectral data for database interrogation, resulting in the identification of 52 unique proteins (including redundancies due to proteolysis and post-translationally modified isoforms) that were changing in abundance across the cohort. Without the benefit of the Cy2-labeled 12 sample mixture internal standard, 42 of these proteins would have been overlooked due to the large degree of variation inherent between normal and tumor samples.     

Proteomic study of human hepatocellular carcinoma using two-dimensional difference gel electrophoresis with saturation cysteine dye

To identify the proteomic alterations associated with carcinogenesis of hepatocellular carcinoma (HCC), we compared the protein expression profiles of nine HCC cell lines with those of primary cultured hepatocytes established from five individuals. A differential proteomic study was performed by two-dimensional difference gel electrophoresis, in which protein samples are labeled with different fluorescent dyes and separated according to their isoelectric point and molecular weight. To label the protein samples, we used a newly developed and highly sensitive fluorescent dye, which reacts with all reduced cysteine residues of proteins. Principal component analysis based on the intensity of 1238 protein spots indicated that the HCC cells and the normal hepatocytes had distinct proteomic profiles. The Wilcoxon test was used to determine the protein spots whose intensity was differentially regulated in the HCC cells compared with the normal hepatocytes, and mass spectrometric analysis was used to identify the proteins corresponding to the spots. The proteins identified are involved in cell cycle regulation, binding to a tumor-suppressor gene product, fatty acid binding, and regulation of translation. Western blotting with specific antibodies revealed the overexpression of PCNA, EB1 and E-FABP in HCC tissues compared with noncancerous tissues. Aberrant regulation of EB1 and E-FABP has not previously been implicated in the development of HCC.     

Minimizing variability in two-dimensional electrophoresis gel image analysis

For reliable protein identification and quantitation, it is important to minimize the variability associated with two-dimensional electrophoresis (2-DE) analysis. Since experimental factors contribute largely to the variability observed in 2-DE, most studies have focused on reducing this variability with modest concern to the variability associated with post-experimental analyses. Although often ignored, software analyses of 2-DE gel images present a considerable source of variability in the analysis of proteins. In particular, cropping of gel images prior to quantitative 2-DE analysis has been shown to contribute a significant amount of variability in image analysis. To address this problem, we propose a simple, reliable, and objective method of cropping 2-DE gel images to consequently minimize the variability in 2-DE analysis.