Improved consistency in 2D gel electrophoresis: Sheep plasma as a test case

Two‐dimensional (2D) gel electrophoresis is a well‐proven proteomic technique; however, sample‐specific optimisation can often be necessary in order to get consistent quantitation. In particular, plasma samples are often smeared on 2D gels making spot matching difficult. A variety of different sample preparation and 2D methods were tested by using sheep plasma, and it was found that lowering sample pH prior to precipitation, using a long voltage gradient for isoelectric focusing and the inclusion of carrier ampholytes in the electrode wicks, improved both the quality and consistency of spot resolution. Analysis of the internal standards from two different DIGE experiments, one with conventional methodology and one with the improved method, showed that along with substantially improving the number of spots resolved, the average CV (coefficient of variation) of matched standards was lower with the new method. 428 matched spots were found using the improved method compared to 208 matched spots using conventional methodology. For the 174 spots that were matched between the two DIGE experiments, the average CV's of spot volumes were also significantly lower, at 0.20 for the new method compared to 0.24 for the conventional method (p < 0.001).     

A competent extraction method of plant proteins for 2-D gel electrophoresis

The efficient extraction of high‐quality proteins is a key factor for a successful proteomic analysis approach. In the method suggested here, absolute ethanol containing 10 mM DTT was used to precipitate the proteins in plant tissue homogenates followed by their resuspension in a urea‐/thiourea‐ and NP‐40‐containing solution. Protein profiles were examined on pH 3–11 non‐linear IEF strips and SDS‐PAGE and compared with extracts using the established method of acetone‐10% TCA/0.07% 2‐mercaptoethanol precipitation (V. Méchin et al., Methods Mol. Biol. 2006, 355, 1–8). In addition to protein profile similarity for the two extracts, the acidic part of the acetone containing 10% TCA/0.07% 2‐mercaptoethanol extraction showed protein spots with high molecular weight in the range of 250–150 kDa, while the ethanol containing 10 mM DTT extracts indicated extra proteins spots at the basic part of the gels with molecular weights in the range of 25–15 kDa. The MALDI‐TOF‐MS of differential spots from acetone containing 10% TCA/0.07% 2‐mercaptoethanol precipitation method and absolute ethanol containing 10mM DTT indicated no similarity, ruling out the possibility that the two clusters shown represent identical proteins. The described method is easy in implementation, chemicals used are less toxic and proteins are easier to resuspend therefore presents an additional choice to implement towards finding the optimum method for extraction.     

Polyacrylamide gel plugs enabling 2-D microfluidic protein separations via isoelectric focusing and multiplexed sodium dodecyl sulfate gel electrophoresis

In situ photopolymerized polyacrylamide (PAAm) gel plugs are used as hydrodynamic flow control elements in a multidimensional microfluidic system combining IEF and parallel SDS gel electrophoresis for protein separations. The PAAm gel plugs offer a simple method to reduce undesirable bulk flow and limit reagent/sample crosstalk without placing unwanted constraints on the selection of separation media, and without hindering electrokinetic ion migration in the complex microchannel network. In addition to improving separation reproducibility, the discrete gel plugs integrated into critical regions of the chip enable the use of a simple pressure-driven sample injection method which avoids electrokinetic injection bias. The gel plugs also serve to greatly simplify operation of the spatially multiplexed system by eliminating the need for complex external fluidic interfaces. Using an FITC-labeled Escherichia coli cell lysate as a model system, the use of gel plugs is shown to significantly enhance separation reproducibility in a chip containing five parallel CGE channels, with an average variance in peak elution time of only 4.1%.     

Comparative two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE) of human milk to identify dysregulated proteins in breast cancer

Breast cancer (BC) remains a major cause of mortality, and early detection is considered important for reducing BC‐associated deaths. Early detection of BC is challenging in young women, due to the limitations of mammography on the dense breast tissue of young women. We recently reported results of a pilot proteomics study, using one‐dimensional polyacrylamide gel electrophoresis (1D‐PAGE) and mass spectrometry (MS) to investigate differences in milk proteins from women with and without BC. Here, we applied two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE) and MS to compare the protein pattern in milk from the breasts of a single woman who was diagnosed with BC in one breast 24 months after donating her milk. Statistically different gel spots were picked for protein digestion followed by nanoliquid chromatography tandem MS (nanoLC‐MS/MS) analysis. The upregulated proteins in BC versus control are alpha‐amylase, gelsolin isoform a precursor, alpha‐2‐glycoprotein 1 zinc isoform CRA_b partial, apoptosis‐inducing factor 2 and vitronectin. Several proteins were downregulated in the milk of the breast later diagnosed with cancer as compared to the milk from the healthy breast, including different isoforms of albumin, cholesterol esterase, different isoforms of lactoferrin, different proteins from the casein family and different isoforms of lysozyme. Results warrant further studies to determine the usefulness of these milk proteins for assessing risk and detecting occult disease. MS data is available via ProteomeXchange with identifier PXD009860.     

Sample sonication after trichloroacetic acid precipitation increases protein recovery from cultured hippocampal neurons, and improves resolution and reproducibility in two-dimensional gel electrophoresis

Protein precipitation with TCA followed by acetone washing is frequently used to clean samples before 2-DE. However, the difficulty in solubilizing TCA-precipitated proteins causes some variability in 2-D gels and makes it difficult to detect some proteins. In this work we show that sonication of the samples, after TCA precipitation followed by elution in sample buffer, increases total protein recovery, and improves reproducibility and matching ratios between gels when analyzed by specialized software.     

Identification of new regional marker proteins to map mouse brain by 2-D difference gel electrophoresis screening

To screen for new region-specific protein markers we compared the proteome maps of the primary visual and somatosensory areas V1 and S1 in mouse brain using 2-D difference gel electrophoresis (2-D DIGE). Twenty-three protein spots showed a statistically significant difference in expression level between V1 and S1, with 52% appearing more abundantly in V1. Twenty-six proteins were mass spectrometrically identified in 22 spots. To assess the validity of this list of potential areal markers generated by 2-D DIGE, the effective area-specific distribution profile of creatine kinase brain subtype (CKB), a protein with a clearly higher expression level in S1, was monitored with in situ hybridization. The mRNA expression profile of CKB displayed a clear area-specific distribution, which allowed demarcation of S1 and its topographical borders with neighboring neocortical areas. This proteomic study demonstrates the innovative application of 2-D DIGE and MS to select new regional markers for neuroscience research.     

Software-induced variance in two-dimensional gel electrophoresis image analysis

Experimental variability in 2-DE is well documented, but little attention has been paid to variability arising from postexperimental quantitative analyses using various 2-DE software packages. The performance of two 2-DE analysis software programs, Phoretix 2D Expression v2004 (Expression) and PDQuest 7.2 (PDQuest), was evaluated in this study. All available background subtraction and smoothing algorithms were tested using both data generated from one single 2-DE gel image, thus excluding experimental variance, and with authentic sets of replicate gels (n = 5). A slight shift of the image boundaries (the "cropping area") caused both programs to induce variance in protein spot quantification of otherwise identical gel images. The resulting variance for PDQuest (CV(mean) = 8%) was approximately twice that for Expression (CV(mean) = 4%). In authentic sets of replicate 2-DE gels (n = 5), the experimental variance confounded the software-induced variance to some extent. However, Expression still outperformed PDQuest, which exhibited software-induced variance as high as 25% of the total observed variance. Surprisingly, the complete omission of background subtraction algorithms resulted in the least amount of software-based variance. These data indicate that 2-DE gel analysis software constitutes a significant source of the variance observed in quantitative proteomics, and that the use of background subtraction algorithms can further increase the variance.     

Micro-high-performance liquid chromatography platform for the depletion of high-abundance proteins and subsequent on-line concentration/capturing of medium and low-abundance proteins from serum. Application to profiling of protein expression in healthy and osteoarthritis sera by 2-D gel electrophoresis

In this investigation, an integrated microcolumn-based fluidic platform for the simultaneous depletion of high-abundance proteins and the subsequent on-line concentration/capturing of medium- and low-abundance proteins from human serum has been introduced. The platform consists of on-line coupling of tandem affinity micorcolumns to an RP microcolumn to achieve first the depletion of high-abundance proteins by the tandem affinity microcolumns followed by the concentration and capturing of medium- and low-abundance proteins by the RP microcolumn. The tandem affinity microcolumns are based on macroporous monoliths characterized by their relatively high permeability in pressure-driven flow while the RP microcolumn is packed with polymeric particles with an average particle diameter of 20 microm giving rise to a very little back pressure, thus allowing fast flow velocity across the coupled columns format and consequently short processing time of serum samples prior to analysis by 2-DE. The microcolumn-based fluidic platform was applied to serum samples from osteoarthritis (OA) donors before and after soy protein (SP) supplementation, and from healthy donors, and the resulting depleted serum samples from high-abundance proteins were profiled for protein expression by 2-DE. In general, the protein expression was lower in serum of the same OA patient after soy treatment than before soy treatment. Several proteins were down-regulated after soy treatment with transthyretin being the most affected by the SP supplementation. In addition, with respect to serum from healthy donors, the sera from OA patients showed difference in proteins expression.     

Lights, Camera, Action! systematic variation in 2-D difference gel electrophoresis images

2-D Difference gel electrophoresis (DIGE) circumvents many of the problems associated with gel comparison via the traditional 2-DE approach. DIGE's accuracy and precision, however, is compromised by the existence of other significant sources of systematic variation, including that caused by the apparatus used for imaging proteins (location of the camera and lighting units, background material, imperfections within that material, etc.). Through a series of experiments, we estimate some of these factors, and account for their effect on the DIGE experimental data, thus providing improved estimates of the true relative protein intensities. The model presented here includes 2-DE images as a special case.     

Mass spectrometric characterization of the zein protein composition in maize flour extracts upon protein separation by SDS‐PAGE and 2D gel electrophoresis

Highly homogenous α zein protein was isolated from maize kernels in an environment‐friendly process using 95% ethanol as solvent. Due to the polyploidy and genetic polymorphism of the plant source, the application of high resolution separation methods in conjunction with precise analytical methods, such as MALDI‐TOF‐MS, is required to accurately estimate homogeneity of products that contain natural zein protein. The α zein protein product revealed two main bands in SDS‐PAGE analysis, one at 25 kDa and other at 20 kDa apparent molecular mass. Yet, high resolution 2DE revealed approximately five protein spot groups in each row, the first at ca. 25 kDa and the second at ca. 20 kDa. Peptide mass fingerprinting data of the proteins in the two dominant SDS‐PAGE bands matched to 30 amino acid sequence entries out of 102 non‐redundant data base entries. MALDI‐TOF‐MS peptide mapping of the proteins from all spots indicated the presence of only α zein proteins. The most prominent ion signals in the MALDI mass spectra of the protein mixture of the 25 kDa SDS gel band after in‐gel digestion were found at m/z 1272.6 and m/z 2009.1, and the most prominent ion signals of the protein mixture of the 20 kDa band after in‐gel digestion were recorded at m/z 1083.5 and m/z 1691.8. These ion signals have been found typical for α zein proteins and may serve as marker ion signals which upon chymotryptic digestion reliably indicate the presence of α zein protein in two hybrid corn products.     

Searching for serum tumor markers for colorectal cancer using a 2‐D DIGE approach

Identification of specific protein markers for colorectal cancer (CRC) could provide a basis for its early diagnosis and detection, as well as clues to the molecular mechanisms governing cancer progression. In the present study, 2‐D DIGE coupled with MS was used to screen for biomarker candidates in the serum proteome of ten human CRC samples and ten healthy control samples. After pooling identical amounts of serum proteins (based on total protein concentration), albumin/IgG was depleted under partially denaturing conditions. Subsequently, the serum samples were labeled with three different CyDyes, and separated by 2‐D DIGE. After analysis with the biological variation analysis module of the DeCyder software, only three spots were found to be significantly elevated in all patient groups (with ratios from 1.52 to 9.08), whereas five spots were significantly down‐regulated in patients (with ratios from ?1.23 to ?10.21) (t‐test; p<0.05). Finally, two potential biomarkers, Transaldolase 1 and thyroid receptor interactor, were chosen for validation and analysis by ELISA with the serum of 30 CRC patients and 30 healthy controls. The serum levels of the two proteins correlated well with the 2‐D DIGE results. Thus, 2‐D DIGE approaches show great promise for biomarker discovery in CRC.     

Limitation of predictive 2-D liquid chromatography in reducing the database search space in shotgun proteomics: in silico studies

A two-dimensional (2-D) liquid chromatography (LC) separation of complex peptide mixtures that combines a normal phase utilizing hydrophilic interactions and a reversed phase offers reportedly the highest level of 2-D LC orthogonality by providing an even spread of peptides across multiple LC fractions. Matching experimental peptide retention times to those predicted by empirical models describing chromatographic separation in each LC dimension leads to a significant reduction in a database search space. In this work, we calculated the retention times of tryptic peptides separated in the C18 reversed phase at different separation conditions (pH 2 and pH 10) and in TSK gel Amide-80 normal phase. We show that retention times calculated for different 2-D LC separation schemes utilizing these phases start to correlate once the mass range of peptides under analysis becomes progressively narrow. This effect is explained by high degree of correlation between retention coefficients in the considered phases.     

Isotachophoresis of proteins in a networked microfluidic chip: experiment and 2-D simulation

This paper reports both the experimental application and 2-D simulation of ITP of proteins in a networked microfluidic chip. Experiments demonstrate that a mixture of three fluorescent proteins can be concentrated and stacked into adjacent zones of pure protein under a constant voltage of 100 V over a 2 cm long microchannel. Measurements of the isotachophoretic velocity of the moving zones demonstrates that, during ITP under a constant voltage, the zone velocity decreases as more of the channel is occupied by the terminating electrolyte. A 2-D ITP model based on the Nernst-Planck equations illustrates the stacking and separation features of ITP using simulations of three virtual proteins. The self-sharpening behavior of ITP zones dispersed by a T-junction is clearly demonstrated both by experiment and by simulation. Comparison of 2-D simulations of ITP and zone electrophoresis (ZE) confirms that ZE lacks the ability to resharpen protein zones after they pass through a T-junction.     

Detection of recombinant growth hormone in human plasma by a 2‐D PAGE method

Human growth hormone (GH) has several central metabolic functions including bone growth in childhood, and its anabolic and lipolytic effects in particular are assumed reasons for the abuse of GH by athletes. Human endogenous GH consists of a main 22 kDa variant and several isoforms. In contrast, recombinant GH consists of only one variant being identical to the main endogenous isoform. The method presented here separates different isoforms by 2‐D PAGE after isolation of GH from plasma using an immunoaffinity purification system. While samples containing endogenous GH yield up to four isoforms, samples with recombinant GH contain the main 22 kDa spot only. Normalized spot volumes (NSV) are calculated after addition of an internal standard and a discrimination limit was determined at 0.52 for the NSV of the main 22 kDa spot. Above this value, samples containing endogenous GH show at least the main 22 kDa isoform and the 20 kDa splice variant. In contrast, samples with a NSV >0.52 and only one spot are suspicious to contain recombinant GH. This method detects discrete isoforms of GH from plasma and discriminates endogenous GH from its recombinant analog, which makes it useful for doping control purposes.     

DIESEL-MP2: a new program to perform large-scale multireference-MP2 computations

This article presents a new MR‐MP2 code (Multi‐Reference Møller–Plesset 2nd order) suitable for the computation MR‐MP2 energies of extended systems with strong near degeneracy effects (e.g., open shell systems). It is based on the DIESEL program package developed by Hanrath and Engels. Due to improved algorithms the new code is able to handle systems with 400–500 basis functions and more than 100 electrons. The code is made for parallel computers with distributed memory, but can also be run on local machines. It possesses two integral interfaces (MOLCAS, TURBOMOLE). The algorithms are briefly introduced and timings for the Neocarzinostatin chromophore are presented. The efficiencies of the codes obtained with Intel or GNU compilers are compared. © 2006 Wiley Periodicals, Inc. J Comput Chem 27: 1055–1062, 2006     

2-D native-PAGE/SDS-PAGE visualization of an oligomer's subunits: application to the analysis of IgG

A 2-D native-PAGE/SDS-PAGE method for detecting the subunit components of protein oligomers at low picomole sensitivity is presented. IgG was electrophoresed in a native acidic polyacrylamide gel in amounts ranging from 51 pmol to 60 fmol. Silver-staining (native fast silver stain, ammoniacal silver stain, permanganate silver stain), Coomassie-staining (R-250, G-250), metal ion-reverse-staining (zinc, copper), and fluorescent chromophore-staining (SYPRO Ruby) methods were used to visualize the IgG oligomers. The protein zones were then excised, separated by SDS-PAGE, and subunits visualized with a permanganate silver stain. The Coomassie R-250/permanganate silver-staining combination detected IgG subunits using 2 pmol of sample. Coomassie G-250 and native fast silver staining in the first-dimensional gel produced detectable subunits in the second-dimensional separation at 3 and 13 pmol, respectively. Staining with silver (ammoniacal, permanganate), copper, zinc, or SYPRO Ruby in the first-dimensional gel did not produce discernible subunits in the second-dimensional gels due to protein streaking or protein immobilization in the native gel. When using a 2-D native-PAGE/SDS-PAGE system, Coomassie staining of the first-dimensional native gel combined with permanganate silver staining of the second-dimensional denaturing gel provides the most sensitive method (2-3 pmol) for visualizing constituent subunits from their oligomeric assemblies.     

A new HPLC–MS/MS method for the simultaneous quantification of SGLT2 inhibitors and metformin in plasma and its application to a pharmacokinetic study in healthy volunteers

Monitoring the plasma concentrations of metformin and sodium‐glucose cotransporter‐2 inhibitors (canagliflozin, dapagliflozin and empagliflozin) is essential for pharmacokinetic and bioequivalence studies and therapeutic monitoring. The present work therefore aimed to develop and validate a high‐performance liquid chromatography coupled to tandem mass spectrometry (HPLC–MS/MS) method for the simultaneous quantification of these drugs in human plasma. The analyses were performed using an Agilent 1200 HPLC system coupled to an Applied Biosystems API 3200 triple quadrupole MS/MS with electrospray ionization in positive ion mode. After one‐step protein precipitation of plasma with acetonitrile containing 0.1% formic acid, chromatographic separation was achieved on an Xbridge C₁₈ column, with a mobile phase consisting of a gradient of water and acetonitrile, both containing 1 mm ammonium formate and 0.1% formic acid. Quantification was performed in multiple reaction monitoring mode using m/z 130.1 → 71.1 for metformin, m/z 462.0 → 191.2 for canagliflozin, m/z 426.1 → 167.1 for dapagliflozin and m/z 468.0 → 354.9 for empagliflozin. The proposed method was validated and demonstrated to be adequate for the quantification of metformin, canagliflozin, dapagliflozin and empagliflozin for clinical monitoring, pharmacokinetics and bioequivalence studies.     

2-D solid-state assay platform: a tool for screening aldehyde-releasing enzyme activity in colonies

A micro colony chip-based platform for high-throughput screening of proton releasing or oxygen consuming enzyme reactions was introduced recently. Here we present a new assay platform which allows screening for the release of aromatic and aliphatic aldehydes by enzymatic activity. The assay platform consists of 4-hydrazino-7-nitrobenzofurazane (NBD-H) as an indicator embedded in a soft, hydrophobic polymer matrix. NBD-H forms highly fluorescent products with aldehydes via hydrazone formation. The assay was characterized for various aliphatic and aromatic aldehydes and tested with two enzymatic reactions to show its potential. A transesterification reaction under water-free conditions with two esterase mutants and vinyl acetate as acyl donor leads to acetaldehyde as detectable product and a reaction under aqueous conditions with threonine aldolases. The substrates used are phenylserine, which forms benzaldehyde, and threonine, which forms acetaldehyde.     

Sugarcane proteomics: Establishment of a protein extraction method for 2‐DE in stalk tissues and initiation of sugarcane proteome reference map

Sugarcane is an important commercial crop cultivated for its stalks and sugar is a prized commodity essential in human nutrition. Proteomics of sugarcane is in its infancy, especially when dealing with the stalk tissues, where there is no study to date. A systematic proteome analysis of stalk tissue yet remains to be investigated in sugarcane, wherein the stalk tissue is well known for its rigidity, fibrous nature, and the presence of oxidative enzymes, phenolic compounds and extreme levels of carbohydrates, thus making the protein extraction complicated. Here, we evaluated five different protein extraction methods in sugarcane stalk tissues. These methods are as follows: direct extraction using lysis buffer (LB), TCA/acetone precipitation followed by solubilization in LB, LB containing thiourea (LBT), and LBT containing tris, and phenol extraction. Both quantitative and qualitative protein analyses were performed for each method. 2‐DE analysis of extracted total proteins revealed distinct differences in protein patterns among the methods, which might be due to their physicochemical limitations. Based on the 2‐D gel protein profiles, TCA/acetone precipitation‐LBT and phenol extraction methods showed good results. The phenol method showed a shift in pI values of proteins on 2‐D gel, which was mostly overcome by the use of 2‐D cleanup kit after protein extraction. Among all the methods tested, 2‐D cleanup‐phenol method was found to be the most suitable for producing high number of good‐quality spots and reproducibility. In total, 30 and 12 protein spots commonly present in LB, LBT and phenol methods, and LBT method were selected and subjected to eLD‐IT‐TOF‐MS/MS and nESI‐LC‐MS/MS analyses, respectively, and a reference map has been established for sugarcane stalk tissue proteome. A total of 36 nonredundant proteins were identified. This is a very first basic study on sugarcane stalk proteome analysis and will promote the unexplored areas of sugarcane proteome research.