Evaluation of two-dimensional difference gel electrophoresis for protein profiling. Soluble proteins of the marine bacterium Pirellula sp. strain 1

Two-dimensional gel electrophoresis (2DE) is a central tool of proteome research, since it allows separation of complex protein mixtures at highest resolution. Quantification of gene expression at the protein level requires sensitive visualization of protein spots over a wide linear range. Two-dimensional difference gel electrophoresis (2D DIGE) is a new fluorescent technique for protein labeling in 2DE gels. Proteins are labeled prior to electrophoresis with fluorescent CyDyes trade mark and differently labeled samples are then co-separated on the same 2DE gel. We evaluated 2D DIGE for detection and quantification of proteins specific for glucose or N-acetylglucosamine metabolism in the marine bacterium Pirellula sp. strain 1. The experiment was based on 10 parallel 2DE gels. Detection and comparison of the protein spots were performed with the DeCyder trade mark software that uses an internal standard to quantify differences in protein abundance with high statistical confidence; 24 proteins differing in abundance by a factor of at least 1.5 (t test value <10(-9)) were identified. For comparison, another experiment was carried out with four SYPRO-Ruby-stained 2DE gels for each of the two growth conditions; image analysis was done with the ImageMaster trade mark 2D Elite software. Sensitivity of the CyDye fluors was evaluated by comparing Cy2, Cy3, Cy5, SYPRO Ruby, silver, and colloidal Coomassie staining. Three replicate gels, each loaded with 50 microg of protein, were run for each stain and the gels were analyzed with the ImageMaster software. Labeling with CyDyes allowed detection of almost as many protein spots as staining with silver or SYPRO Ruby.     

胃癌及癌旁组织定量比较蛋白质组学研究

为寻找胃癌特异的肿瘤标记物,用于胃癌临床诊断及药物治疗靶点的选择,本研究采用荧光差异显示凝胶电泳（DIGE）技术分离并筛选 Cy3、Cy5 及 Cy2 荧光素标记的胃癌及对应癌旁组织差异表达蛋白质,用基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）或串联质谱技术进行鉴定并分析。结果共筛选出 33 个差异表达蛋白质点,其中 9 个蛋白质点在胃癌组织中上调,24 个蛋白质点下调。对 22 个蛋白质点采用质谱技术成功鉴定,突变结蛋白、锰超氧化物歧化酶、热休克蛋白 60等在胃癌中高表达,热休克蛋白 27、前列腺素 F 合酶、硒结合蛋白 1、锌指蛋白 160、微管蛋白 α6、真核生物翻译延伸因子 1 α1 等在胃癌组织中低表达,并筛选出 5 个未知蛋白。这些差异表达蛋白可望成为胃癌诊断的特异标记物,并与胃癌的发生、发展及预后等有关,为胃癌的诊断、发生机制的研究提供了新的思路。     

Selective Labelling of Cell-surface Proteins using CyDye DIGE Fluor Minimal Dyes

Surface proteins are central to the cell''s ability to react to its environment and to interact with neighboring cells. They are known to be inducers of almost all intracellular signaling. Moreover, they play an important role in environmental adaptation and drug treatment, and are often involved in disease pathogenesis and pathology (1). Protein-protein interactions are intrinsic to signaling pathways, and to gain more insight in these complex biological processes, sensitive and reliable methods are needed for studying cell surface proteins. Two-dimensional (2-D) electrophoresis is used extensively for detection of biomarkers and other targets in complex protein samples to study differential changes. Cell surface proteins, partly due to their low abundance (1 2% of cellular proteins), are difficult to detect in a 2-D gel without fractionation or some other type of enrichment. They are also often poorly represented in 2-D gels due to their hydrophobic nature and high molecular weight (2). In this study, we present a new protocol for intact cells using CyDye DIGE Fluor minimal dyes for specific labeling and detection of this important group of proteins. The results showed specific labeling of a large number of cell surface proteins with minimal labeling of intracellular proteins. This protocol is rapid, simple to use, and all three CyDye DIGE Fluor minimal dyes (Cy 2, Cy 3 and Cy 5) can be used to label cell-surface proteins. These features allow for multiplexing using the 2-D Fluorescence Difference Gel Electrophoresis (2-D DIGE) with Ettan DIGE technology and analysis of protein expression changes using DeCyder 2-D Differential Analysis Software. The level of cell-surface proteins was followed during serum starvation of CHO cells for various lengths of time (see Table 1). Small changes in abundance were detected with high accuracy, and results are supported by defined statistical methods.Open in a separate windowClick here to view.^{(76M, flv)}     

Analysis of DIGE data using a linear mixed model allowing for protein-specific dye effects

Differential in-gel electrophoresis (DIGE) experiments allow three protein samples to be run per gel. The three samples are labeled with the spectrally resolvable fluorescent dyes, Cy2, Cy3, and Cy5, respectively. Here, we show that protein-specific dye effects exist, and we present a linear mixed model for analysis of DIGE data which takes dye effects into account. A Java implementation of the model, called DIGEanalyzer, is freely available at http://bioinfo.thep.lu.se/digeanalyzer.html. Three DIGE experiments from our laboratory, with 173, 64, and 24 gels, respectively, were used to quantify and verify the dye effects. DeCyder 5.0 and 6.5 were used for spot detection and matching. The fractions of proteins with a statistically significant (0.001 level) dye effect were 19, 34, and 23%, respectively. The fractions of proteins with a dye effect above 1.4-fold change were 1, 4, and 6%, respectively. The median magnitude of the dye effect was 1.07-fold change for Cy5 versus Cy3 and 1.16-fold change for Cy3 versus Cy2. The maximal dye effect was a seven-fold change. The dye effects of spots corresponding to the same protein tend to be similar within each of the three experiments, and to a smaller degree across experiments.     

Detection of tyrosine phosphorylated proteins by combination of immunoaffinity enrichment, two-dimensional difference gel electrophoresis and fluorescent Western blotting

We describe fluorescence-based 2-D gel electrophoresis methods for visualization of low abundant, cancer relevant tyrosine phosphorylated (pTyr) proteins. The methods investigated were fluorescent Western blotting and two-dimensional difference gel electrophoresis (2-D DIGE) for detection of non-enriched and immunoaffinity enriched pTyr protein patterns. The same anti-phosphotyrosine specific antibody, 4G10, was used for both approaches. The results from fluorescent Western blotting of total proteins and from enriched CyDye DIGE pre-labeled pTyr proteins showed similar down regulation of phosphorylation upon treating of cells from a cancer model system (K562 chronic myeloid leukemia cells) with imatinib. This treatment introduced a known perturbation of phosphorylation that enabled testing of these new approaches to analyze variations in tyrosine phosphorylation levels. Enrichment of pTyr proteins was found highly advantageous for the outcome. Out of a simplified 2-D DIGE experiment of immunoaffinity enriched control and treated pTyr proteins, differential analysis as well as protein identification by mass spectrometry (MS) was possible.     

Comparison of two combinations of cyanine dyes for prelabelling and gel electrophoresis

We report the use of IC‐OSu ethyl‐Cy3 and ethyl‐Cy5 N‐hydroxysuccinimide ester (NHS) cyanine dyes, which have similar chemical properties as the CyDye? DIGE fluor minimal dyes for pre‐electrophoresis labelling. Multiple sample analyses in different laboratories indicate that the use of IC‐OSu ethyl‐Cy3 and ethyl‐Cy5 NHS ester cyanine dyes produces equivalent results to those obtained with DIGE CyDyes, and allows sample multiplexing and accurate quantitation for differential proteome analysis.     

Database of two-dimensional polyacrylamide gel electrophoresis of proteins labeled with CyDye DIGE Fluor saturation dye

CyDye DIGE Fluor saturation dye (saturation dye, GE Healthcare Amersham Biosciences) enables highly sensitive 2-D PAGE. As the dye reacts with all reduced cysteine thiols, 2-D PAGE can be performed with a lower amount of protein, compared with CyDye DIGE Fluor minimal dye (GE Healthcare Amersham Biosciences), the sensitivity of which is equivalent to that of silver staining. We constructed a 2-D map of the saturation dye-labeled proteins of a liver cancer cell line (HepG2) and identified by MS 92 proteins corresponding to 123 protein spots. Functional classification revealed that the identified proteins had chaperone, protein binding, nucleotide binding, metal ion binding, isomerase activity, and motor activity. The functional distribution and the cysteine contents of the proteins were similar to those in the most comprehensive 2-D database of hepatoma cells (Seow et al.., Electrophoresis 2000, 21, 1787-1813), where silver staining was used for protein visualization. Hierarchical clustering on the basis of the quantitative expression profiles of the 123 characterized spots labeled with two charge- and mass-matched saturation dyes (Cy3 and Cy5) discriminated between nine hepatocellular carcinoma cell lines and primary cultured hepatocytes from five individuals, suggesting the utility of saturation dye and our database for proteomic studies of liver cancer.     

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.     

Data variance and statistical significance in 2D-gel electrophoresis and DIGE experiments: comparison of the effects of normalization methods

Identifying changes in the relative abundance of proteins between different biological samples is often confounded by technical noise. In this work, we compared eight normalization methods commonly used in two-dimensional gel electrophoresis and difference gel electrophoresis (DIGE) experiments for their ability to reduce noise and for their influence on the list of proteins whose difference in abundance between two samples is determined to be statistically significant. With respect to reducing noise we find that, while all methods improve upon unnormalized data, cyclic linear normalization is the least well suited to gel-based proteomics and the performances of the other methods are similar. We also find in DIGE data that the choice of normalization method has less of an impact on the noise than does the decision to use an internal reference in the experimental design and that both normalization and standardization using the internal reference are required to maximally reduce variance. Despite the similar noise reduction achieved by most normalization methods, the list of proteins whose abundance was determined to differ significantly between biological groups differed depending on the choice of normalization method. This work provides a direct comparison of the impact of normalization methods in the context of common experimental designs.     

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.     

DIGE compatible labelling of surface proteins on vital cells in vitro and in vivo

Efficient methods for profiling of the cell surface proteome are desirable to get a deeper insight in basic biological processes, to localise proteins and to uncover proteins differentially expressed in diseases. Here we present a strategy to target cell surface exposed proteins via fluorescence labelling using CyDye DIGE fluors. This method has been applied to human cell lines in vitro as well as to a complex biological system in vivo. It allows detection of fluorophore-tagged cell surface proteins and visualisation of the accessible proteome within a single 2-D gel, simplifying subsequent UV MALDI-MS analysis.     

A proteomics approach to the study of absorption, distribution, metabolism, excretion, and toxicity.

A proteomics approach was used to identify liver proteins that displayed altered levels in mice following treatment with a candidate drug. Samples from livers of mice treated with candidate drug or untreated were prepared, quantified, labeled with CyDye DIGE Fluors, and subjected to two-dimensional electrophoresis. Following scanning and imaging of gels from three different isoelectric focusing intervals (3-10, 7-11, 6.2-7.5), automated spot handling was performed on a large number of gel spots including those found to differ more than 20% between the treated and untreated condition. Subsequently, differentially regulated proteins were subjected to a three-step approach of mass spectrometry using (a) matrix-assisted laser desorption/ionization time-of-flight mass spectrometry peptide mass fingerprinting, (b) post-source decay utilizing chemically assisted fragmentation, and (c) liquid chromatography-tandem mass spectrometry. Using this approach we have so far resolved 121 differentially regulated proteins following treatment of mice with the candidate drug and identified 110 of these using mass spectrometry. Such data can potentially give improved molecular insight into the metabolism of drugs as well as the proteins involved in potential toxicity following the treatment. The differentially regulated proteins could be used as targets for metabolic studies or as markers for toxicity.     

Reproducibility,sensitivity and compatibility of the ProteoExtract® subcellular fractionation kit with saturation labeling of laser microdissected tissues

Laser microdissection (LMD), a method of isolating specific microscopic regions of interest from a tissue that has been sectioned, is increasingly being applied to study proteomics. LMD generally requires tissues to be fixed and histologically stained, which can interfere with protein recovery and subsequent analysis. We evaluated the compatibility and reproducibility of protein extractions from laser microdissected human colon mucosa using a subcellular fractionation kit (ProteoExtract^®, Calbiochem). Four protein fractions corresponding to cytosol (fraction 1), membrane/organelle (fraction 2), nucleus (fraction 3) and cytoskeleton (fraction 4) were extracted, saturation labeled with Cy5 and 5 μg separated by both acidic (pH 4–7) and basic (pH 6–11) 2‐DE. The histological stains and fixation required for LMD did not interfere with the accurate subcellular fractionation of proteins into their predicted fraction. The combination of subcellular fractionation and saturation CyDye labeling produced very well resolved, distinct protein spot maps by 2‐DE for each of the subcellular fractions, and the total number of protein spots consistently resolved between three independent extractions for each fraction was 893, 1128, 1245 and 1577 for fractions 1, 2, 3 and 4, respectively. Although significant carryover of protein did occur between fractions, this carryover was consistent between experiments, and very low inter‐experimental variation was observed. In summary, subcellular fractionation kits are very compatible with saturation labeling DIGE of LMD tissues and provide greater coverage of proteins from very small amounts of microdissected material.     

双向凝胶电泳中三种蛋白质检测方法的比较

高通量双向电泳是蛋白质组学的核心 ,双向电泳凝胶上蛋白质点的检测方法应具有灵敏度高、线性范围宽和兼容质谱鉴定等优点 .采用差异凝胶电泳 (differencegelelectrophoresis ,DIGE)技术以Cy3(1 (5 carboxypentyl) 1′ propylindocarbocyaninehalideN hydroxysuccinimidylester)和Cy5 (1 (5 carboxypentyl) 1′ methylindodicarbocyaninehalideN hydroxysuccinimidylester)荧光分别标记正常和TNF α处理细胞的蛋白质 ,用Cy2 (3 (4 carboxymethyl)phenylmethyl) 3′ ethyloxacarbocyaninehalideN hydroxysuccinimidylester)荧光标记正常和TNF α处理细胞蛋白质的等量混合样品作为内标 ,混合 3种荧光标记的蛋白质后 ,在同一等电聚焦胶条进行聚焦 ,然后在聚丙烯酰胺凝胶上进行第二向电泳 ,用 3种波长的激光激发扫描得到凝胶图象 ,DIGE中多个样品在同一条件下电泳 ,因而匹配率高 ,且引入内标使蛋白质点的检测与定量更为准确 .DIGE技术与质谱相结合 ,实现了高通量和相对准确定量 .与硝酸银和考马斯亮蓝染色结果相比较 ,DIGE技术具有灵敏度高、线性范围宽和不影响后续质谱鉴定等优点     

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.     

Two-dimensional difference gel electrophoresis

Two-dimensional difference gel electrophoresis (2D DIGE) is a modified form of 2D electrophoresis (2DE) that allows one to compare two or three protein samples simultaneously on the same gel. The proteins in each sample are covalently tagged with different color fluorescent dyes that are designed to have no effect on the relative migration of proteins during electrophoresis. Proteins that are common to the samples appear as 'spots' with a fixed ratio of fluorescent signals, whereas proteins that differ between the samples have different fluorescence ratios. With the appropriate imaging system, DIGE is capable of reliably detecting as little as 0.5 fmol of protein, and protein differences down to +/- 15%, over a >10,000-fold protein concentration range. DIGE combined with digital image analysis therefore greatly improves the statistical assessment of proteome variation. Here we describe a protocol for conducting DIGE experiments, which takes 2-3 d to complete.     

Comparative proteomics and difference gel electrophoresis

The goal of comparative proteomics is to analyze proteome changes in response to development, disease, or environment. This is a two-step process in which proteins within cellular extracts are first fractionated to reduce sample complexity, and then the proteins are identified by mass spectrometry. Two-dimensional electrophoresis (2DE) is the long-time standard for protein separation, but it has suffered from poor reproducibility and limited sensitivity. Difference gel electrophoresis (DIGE), in which two protein samples are separately labeled with different fluorescent dyes and then co-electrophoresed on the same 2DE gel, was developed to overcome the reproducibility and sensitivity limitations. In this essay, I discuss the principles of comparative proteomics and the development of DIGE.     

2D differential in-gel electrophoresis for the identification of esophageal scans cell cancer-specific protein markers

The reproducibility of conventional two-dimensional (2D) gel electrophoresis can be improved using differential in-gel electrophoresis (DIGE), a new emerging technology for proteomic analysis. In DIGE, two pools of proteins are labeled with 1-(5-carboxypentyl)-1'-propylindocarbocyanine halide (Cy3) N-hydroxy-succinimidyl ester and 1-(5-carboxypentyl)-1'-methylindodi-carbocyanine halide (Cy5) N-hydroxysuccinimidyl ester fluorescent dyes, respectively. The labeled proteins are mixed and separated in the same 2D gel. 2D DIGE was applied to quantify the differences in protein expression between laser capture microdissection-procured esophageal carcinoma cells and normal epithelial cells and to define cancer-specific and normal-specific protein markers. Analysis of the 2D images from protein lysates of approximately 250,000 cancer cells and normal cells identified 1038 protein spots in cancer cell lysates and 1088 protein spots in normal cell lysates. Of the detected proteins, 58 spots were up-regulated by >3-fold and 107 were down-regulated by >3-fold in cancer cells. In addition to previously identified down-regulated protein annexin I, tumor rejection antigen (gp96) was found up-regulated in esophageal squamous cell cancer. Global quantification of protein expression between laser capture-microdissected patient-matched cancer cells and normal cells using 2D DIGE in combination with mass spectrometry is a powerful tool for the molecular characterization of cancer progression and identification of cancer-specific protein markers.     

Phenotypic and gene expression analyses of a ploidy series of maize inbred Oh43

Polyploidization has repeatedly occurred during plant evolution. Although autopolyploidy is the best model to characterize the polyploidization effects in a highly controlled manner, there are limited studies on autopolyploids compared to allopolyploids. To improve our understanding of autopolyploidy effects in maize, we developed an inbred Oh43 ploidy series consisting of the diploid (2X), tetraploid (4X) and hexaploid (6X) lines and compared their phenotypes and gene expression in the mature adult leaf tissue. Our phenotypic study showed that plants of higher ploidy exhibit increased cell size but slower growth rate, later flowering, fewer tassel branches, reduced stature and fertility. Two-dimensional difference gel electrophoresis (2D DIGE) and gel electrophoresis followed by liquid chromatography and mass spectrometry (GeLC-MS) assays of the leaf proteomes revealed ~40 and 26% quantitative differentially expressed (DE) proteins, respectively, at the per genome level. A small number of qualitative DE proteins were also identified in the GeLC-MS assay. The majority of the quantitative DE proteins found in the 2D DIGE assay were present in either the 4X versus 6X or the 2X versus 6X comparison but not the 2X versus 4X comparison. Aneuploidy in some 6X plants might contribute to the more extensive changes of gene expression per genome in the 6X. Most changes of the protein expression per genome are less than twofold. Less than 5% of the DE genes exhibit a positive or negative continuous correlation through the ploidy series between their protein expression per genome, and the genome copy number. Hence, in the Oh43 ploidy series, expression for most proteins in a cell increases linearly with ploidy.     

乳腺增生组织蛋白质组的凝胶内差异显示电泳分析 `

目的：建立具有高分辨率和稳定性的乳腺增生组织蛋白质组的双向电泳图谱,并对其进行差异蛋白质组分析。方法：取乳腺增生病患者增生部位及正常部位乳腺组织,匀浆提取乳腺组织总蛋白,分别用Cy3或Cy5标记,每一对Cy3和Cy5标记样品都与一个Cy2标记的内标等量混合,上样于同一胶中进行电泳分离,经不同光激发下扫描得到不同样品的蛋白质组图谱。所获得的图谱经DeCyder软件进行分析。结果：在乳腺增生病增生的组织中,有12个蛋白质表达水平显著增加,另外3个蛋白质表达水平显著下降。结论：利用DIGE技术可以作胶内时比分析,也可以根据内标消除胶与胶之间的差异,提高统计的可信度;分析所得的15个差异蛋白质可能与乳腺增生疾病的发生与发展有关。