Double-beam flying spot scanner for two-dimensional polyacrylamide gel electrophoresis

The construction of a double-beam photometer in which the light source is a cathode ray oscilloscope is described. The light spot from the oscilloscope was focused and reduced in size at the gel plane to give a diameter of less than 0.15 mm and make it possible to scan over a 50 X 59-mm rectangle; using reduced spatial resolution (spot less than 0.2 mm) the area scanned becomes 70 X 90 mm. The light from the CRT was divided into two beams; one was directed through the transparent object to a photomultiplier and the other to a reference photomultiplier. The signals from these two detectors were converted to the logarithm of the ratio by a logging amplifier to give a direct measure of absorbance. Positioning of the spot, control of light intensity, and measurement of absorbance were carried out through an interface to a 16-bit computer. The relationship between measured and actual absorbance was linear over the range of absorbance 0 to 2, which could be raised to 1 to 3 by placing a neutral filter in the reference beam. The system generated an image containing 256 X 256 pixels in about 5 min, the scanning speed was determined by the persistence time of the P4 phosphor on the cathode ray tube, and faster scans can be made using A6 phosphor.     

Multiplex proteomic analysis by two-dimensional differential in-gel electrophoresis

This paper describes the use of fluorescence two-dimensional differential in-gel electrophoresis in a multiplex analysis of two distinct proteomes. As a model system, cerebral cortex tissues were analyzed from neurokinin1 receptor knockout (NK(1)R-/-) and wild type (NK(1)R+/+) mice in an attempt to identify molecular pathways involved in the function of this protein. Paired NK(1)R-/- and NK(1)R+/+ samples were labeled with fluorescent Cy3 and Cy5 dyes and electrophoresed on the same two-dimensional gels. Scanning the gels at wavelengths specific for each dye revealed the two different proteomes which were overlaid and the differences in abundance of specific protein spots were determined by the Amersham Biosciences DeCyder Differential In-gel Analysis software. A Cy2-labeled sample pool was co-electrophoresed with all Cy3- and Cy5-labeled sample pairs as an internal standard providing a link for inter-gel comparisons and for more robust statistical analysis of the data. Eight spots were found to be upregulated and two downregulated in the NK(1)R-/- mice compared to NK(1)R+/+ controls. Matrix assisted laser desorption/ionisation-time of flight (MALDI-TOF) mass fingerprinting was used to identify the proteins. The results illustrate the power of this multiplex proteomics technology and illustrate how proteomics can be used to understand gene function.     

"Two-in-one" gel for spot matching after two-dimensional electrophoresis

Two-dimensional electrophoresis (2-DE) is one of the most commonly used techniques in proteomic investigations. However, due to the complex interplay of incidence including significant biological sample variations, lengthy steps involved in performing 2-DE as well as exposure time with silver staining, it is sometimes difficult to differentiate authentic differences caused by drug treatment with those artifacts caused by sample variations, running conditions of 2-DE as well as treatment time in silver staining etc. If we can compare pooled samples of control and treatment groups run in a single gel and stained together, we would be more comfortable with our findings. We propose here a low cost and highly effective method for locating differentially expressed proteins before and after drug treatment. This "two-in-one gel" technique might partially solve the problems mentioned above.     

Evaluation of two-dimensional differential gel electrophoresis for proteomic expression analysis of a model breast cancer cell system

The technique of fluorescent two-dimensional (2D) difference gel electrophoresis for differential protein expression analysis has been evaluated using a model breast cancer cell system of ErbB-2 overexpression. Labeling of paired cell lysate samples with N-hydroxy succinimidyl ester-derivatives of fluorescent Cy3 and Cy5 dyes for separation on the same 2D gel enabled quantitative, sensitive, and reproducible differential expression analysis of the cell lines. SyproRuby staining was shown to be a highly sensitive and 2D difference gel electrophoresis-compatible method for post-electrophoretic visualization of proteins, which could then be picked and identified by matrix-assisted laser-desorption ionization mass spectroscopy. Indeed, from these experiments, we have identified multiple proteins that are likely to be involved in ErbB-2-mediated transformation. A triple dye labeling methodology was used to identify proteins differentially expressed in the cell system over a time course of growth factor stimulation. A Cy2-labeled pool of samples was used as a standard with all Cy3- and Cy5-labeled sample pairs to facilitate cross-gel quantitative analysis. DeCyder (Amersham Biosciences, Inc.) software was used to distinguish clear statistical differences in protein expression over time and between the cell lines.     

Sample preparation for two-dimensional gel electrophoresis

The choice of sample preparation protocol is a critical influential factor for isoelectric focusing which in turn affects the two-dimensional gel result in terms of quality and protein species distribution. The optimal protocol varies depending on the nature of the sample for analysis and the properties of the constituent protein species (hydrophobicity, tendency to form aggregates, copy number) intended for resolution. This review explains the standard sample buffer constituents and illustrates a series of protocols for processing diverse samples for two-dimensional gel electrophoresis, including hydrophobic membrane proteins. Current methods for concentrating lower abundance proteins, by removal of high abundance proteins, are also outlined. Finally, since protein staining is becoming increasingly incorporated into the sample preparation procedure, we describe the principles and applications of current (and future) pre-electrophoretic labelling methods.     

Steatosis-induced proteomic changes in liver mitochondria evidenced by two-dimensional differential in-gel electrophoresis

Steatosis encompasses the accumulation of droplets of fats into hepatocytes. In this work, we performed a comparative analysis of mitochondrial protein patterns found in wild-type and steatosis-affected liver using the novel technique two-dimensional differential in-gel electrophoresis (2D-DIGE). A total of 56 proteins exhibiting significant difference in their abundances were unambiguously identified. Interestingly, major proteins that regulate generation and consumption of the acetyl-CoA pool were dramatically changed during steatosis. Many proteins involved in the response to oxidative stress were also affected.     

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.     

Normalization and analysis of residual variation in two-dimensional gel electrophoresis for quantitative differential proteomics

Although two-dimensional gel electrophoresis (2-DE) has long been a favorite experimental method to screen proteomes, its reproducibility is seldom analyzed with the assistance of quantitative error models. The lack of models of residual distributions that can be used to assign likelihood to differential expression reflects the difficulty in tackling the combined effect of variability in spot intensity and uncertain recognition of the same spot in different gels. In this report we have analyzed a series of four triplicate two-dimensional gels of chicken embryo heart samples at two distinct development stages to produce such a model of residual distribution. In order to achieve this reference error model, a nonparametric procedure for consistent spot intensity normalization had to be established, and is also reported here. In addition to variability in normalized intensity due to various sources, the residual variation between replicates was observed to be compounded by failure to identify the spot itself (gel alignment). The mixed effect is reflected by variably skewed bimodal density distributions of residuals. The extraction of a global error model that accommodated such distribution was achieved empirically by machine learning, specifically by bootstrapped artificial neural networks. The model described is being used to assign confidence values to observed variations in arbitrary 2-DE gels in order to quantify the degree of over-expression and under-expression of protein spots.     

Semiquantitative proteomic analysis of the human spliceosome via a novel two-dimensional gel electrophoresis method

More than 200 proteins associate with human spliceosomes, but little is known about their relative abundances in a given spliceosomal complex. Here we describe a novel two-dimensional (2D) electrophoresis method that allows separation of high-molecular-mass proteins without in-gel precipitation and thus without loss of protein. Using this system coupled with mass spectrometry, we identified 171 proteins altogether on 2D maps of stage-specific spliceosomal complexes. By staining with a fluorescent dye with a wide linear intensity range, we could quantitate and categorize proteins as present in high, moderate, or low abundance. Affinity-purified human B, B(act), and C complexes contained 69, 63, and 72 highly/moderately abundant proteins, respectively. The recruitment and release of spliceosomal proteins were followed based on their abundances in A, B, B(act), and C spliceosomal complexes. Staining with a phospho-specific dye revealed that approximately one-third of the proteins detected in human spliceosomal complexes by 2D gel analyses are phosphorylated. The 2D gel electrophoresis system described here allows for the first time an objective view of the relative abundances of proteins present in a particular spliceosomal complex and also sheds additional light on the spliceosome's compositional dynamics and the phosphorylation status of spliceosomal proteins at specific stages of splicing.     

Modification of commerical and custom-built slab gel electrophoresis units for two-dimensional polyacrylamide gel electrophoresis

Many commercial and custom-built slab gel electrophoresis units can be modified to function as two-dimensional polyacrylamide gel electrophoresis units with the insertion of Plexiglas adapters. These adapters can be made for about $50 a pair and can be used for either temporary or permanent modification of the slab gel units. The physical dimensions of the adapters can be varied to permit great flexibility in the diameter of cylinder gels and the thickness of slab gels that can be run together. For example, proteins from 6-mm cylinder gels can be easily separated on 1-mm slab gels, which can then be dried for autoradiography.     

Multiresolution image registration for two-dimensional gel electrophoresis

In proteomic research, two-dimensional electrophoresis (2-D) is an important tool for investigating differential patterns of qualitative and quantitative protein expression. The strength of the technique is due to its unrivalled power of being able to separate simultaneously thousands of proteins. The key to the comparison of 2-D protein profiles, however, lies in the use of a fast and robust image matching process which is essential to the subsequent quantification procedure. To satisfy the growing demand for a robust and fully automatic method of matching 2-D gel protein separation profiles, we describe in this paper a novel registration technique based on image intensity distribution rather than selected features. The method uses a multiresolution representation of the gel profiles and exploits the fact that coarse approximations to the optimal matching can be extracted efficiently from low-resolution images. This permits the removal of misalignments at different scales in a systematic manner and the strength of the new method has been confirmed by a double blind trial of 111 2-D gel pairs. The proposed method requires neither landmarks nor an a priori image alignment, and takes about five seconds for processing a typical gel pair on a standard personal computer.     

Analytical and biological variances associated with proteomic studies of Medicago truncatula by two-dimensional polyacrylamide gel electrophoresis

Two-dimensional polyacrylamide gel electrophoresis (2-DE) and mass spectrometry are being used as proteomic tools in an integrated functional genomics program focused on the model legume Medicago truncatula. Due to the perceived high levels of indeterminate error associated with 2-DE we deemed it necessary to quantify the coefficient of variance (or relative standard deviation) for both analytical and biological sources associated with 2-DE of Medicago truncatula leaf protein extracts. Leaf protein extracts were chosen because of their biological significance and due to the more challenging nature of green tissues. Analytical variance was calculated for fifty proteins from ten replicate 2-DE gels of the same protein extract. Biological variance was calculated for the same fifty proteins from ten independent 2-DE gel analyses of ten independent but similar plants grown under identical conditions. Average analytical and biological variances were calculated for both data sets and represent the average variance of approximately 500 independent measurements of protein concentration. Analytical variance was determined to be 16.2% and biological variance was determined to be 24.2%. These average variances provide a quantified and statistical basis for evaluation of protein expression changes in future comparative proteomic investigations. It is proposed that 2-DE measured protein expression levels should differ by a minimum of 3.92sigma (i.e. /+/-2sigma/ and sigma = standard deviation), or 94.7% based on our measured variances, for the difference to be significant at the 95% confidence level.     

Human blood plasma preparation for two-dimensional gel electrophoresis

Human plasma consists of mainly large proteins, which vary in terms of both composition and concentration with the physiological state of the individual. Alterations in protein concentrations reflect the current state of the individual's health and thus may be utilized as valuable biomarkers for a specific biological process or disease. Two-dimensional gel electrophoresis (2-DE) has proven to be a valuable method for the separation and comparison of complex protein mixtures, for example, from disease and healthy states, as this method provides information regarding the variation, relative quantities, and structures of the intact proteins. The procedures utilized for the preparation of samples for 2-DE are critical to the acquisition of high-quality results for the discovery of biomarkers. The objective of this study was to review the preparation methods of plasma for 2-DE, particularly those designed to improve the detection of proteins in low abundance in plasma on 2-DE. The use of anticoagulants and protease inhibitors during the collection of blood, the removal of abundant proteins using multicomponent immunodepletion system, and desalting procedure allow us to compile profiles of proteins occurring in low concentrations in the plasma and to improve the pattern generated during 2-DE.     

An integrated workflow for phenazine-modifying enzyme characterization

Increasing availability of new genomes and putative biosynthetic gene clusters (BGCs) has extended the opportunity to access novel chemical diversity for agriculture, medicine, environmental and industrial purposes. However, functional characterization of BGCs through heterologous expression is limited because expression may require complex regulatory mechanisms, specific folding or activation. We developed an integrated workflow for BGC characterization that integrates pathway identification, modular design, DNA synthesis, assembly and characterization. This workflow was applied to characterize multiple phenazine-modifying enzymes. Phenazine pathways are useful for this workflow because all phenazines are derived from a core scaffold for modification by diverse modifying enzymes (PhzM, PhzS, PhzH, and PhzO) that produce characterized compounds. We expressed refactored synthetic modules of previously uncharacterized phenazine BGCs heterologously in Escherichia coli and were able to identify metabolic intermediates they produced, including a previously unidentified metabolite. These results demonstrate how this approach can accelerate functional characterization of BGCs.     

Preprocessing of two-dimensional gel electrophoresis images

Proteomics produces a huge amount of two-dimensional gel electrophoresis images. Their analysis can yield a lot of information concerning proteins responsible for different diseases or new unidentified proteins. However, an automatic analysis of such images requires an efficient tool for reducing noise in images. This allows proper detection of the spots' borders, which is important in protein quantification (as the spots' areas are used to determine the amounts of protein present in an analyzed mixture). Also in the feature-based matching methods the detected features (spots) can be described by additional attributes, such as area or shape. In our study, a comparison of different methods of noise reduction is performed in order to find out a method best suited for reducing noise in gel images. Among the compared methods there are the classical methods of linear filtering, e.g., the mean and Gaussian filtering, the nonlinear method, i.e., median filtering, and also the methods better suited for processing of nonstationary signals, such as spatially adaptive linear filtering and filtering in the wavelet domain. The best results are obtained by filtering of gel images in the wavelet domain, using the BayesThresh method of threshold value determination.     

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.     

The proteomic analysis of an adipocyte differentiated from human mesenchymal stem cells using two-dimensional gel electrophoresis

Adipose tissues play a crucial endocrine role in the control of whole body glucose homeostasis and insulin sensitivity. Considering the current substantial rise in obesity and obesity-related diseases, including diabetes, it is important to understand the molecular basis of adipocyte differentiation and its control. In this study, we have analyzed the protein expression inherent to adipogenic differentiation, by 2-DE, MALDI-TOF, and RT-PCR. This study focused on proteins that were differentially expressed by the differentiation of human mesenchymal stem cells (hMSCs) to adipocytes. We conducted 2-DE for each set of proteins in the cytosol of adipocytes that had differentiated from hMSC, in a pH range from 3-10. Thirty-two protein spots were shown to have different expression levels. Among these, eight up-regulated proteins were identified by MALDI-TOF/MS, as the following: syntaxin binding protein 3, OSBP-related protein 3, phosphodiesterase, glycophorin, immunoglobulin kappa chain variable region, peroxisome proliferative activated receptor gamma (PPAR-gamma), bA528A10.3.1 (novel protein similar to KIAA01616, isoform 1), and T cell receptor V-beta 4. Four proteins: syntaxin-3, OSBP-related protein 3, PPAR-gamma and glycophorin were associated with adipogenesis.     

An integrated proteome database for two-dimensional electrophoresis data analysis and laboratory information management system

We describe an integrated proteome database, termed Yonsei Proteome Research Center Proteome Database (YPRC-PDB) which can store, retrieve and analyze various information including two-dimensional electrophoresis (2-DE) images and associated spot information that were obtained during studies of hepatocellular carcinoma (HCC). YPRC-PDB is also designed to perform as a laboratory information management system that manages sample information, clinical background, conditions of both sample preparation and 2-DE, and entire sets of experimental results. It also features query system and data-mining applications, which are amenable to automatically analyze expression level changes of a specific protein and directly link to clinical information. The user interface is web-based, so that the results from other laboratories can be shared effectively. In particular, the master gel image query is equipped with a graphic tool that can easily identify the relationship between the specific pathological stage of HCC and expression levels of a potential marker protein on the master gel image. Thus, YPRC-PDB is a versatile integrated database suitable for subsequent analyses. The information in YPRC-PDB is updated easily and it is available to authorized users on the World Wide Web (http://yprcpdb.proteomix.org/ approximately damduck/).