Protein fragment domains identified using 2D gel electrophoresis/MALDI-TOF.

We previously reported a protein expression profiling experiment conducted on human pancreatic tissues using 2D gel electrophoresis and mass spectrometry. Here, 18 spots that were identified in the gel at molecular weights more than 10 kDa lower than database values are characterized. The matrix-assisted laser desorption/ionization mass spectrometry coverage is sufficient to identify the protein region present in each spot. Most of the fragments correspond to processed chains and known structural or functional domains, which may result from limited proteolysis.     

Protein profiling of human lung telocytes and microvascular endothelial cells using iTRAQ quantitative proteomics

Telocytes (TCs) are described as a particular type of cells of the interstitial space ( www.telocytes.com ). Their main characteristics are the very long telopodes with alternating podoms and podomers. Recently, we performed a comparative proteomic analysis of human lung TCs with fibroblasts, demonstrating that TCs are clearly a distinct cell type. Therefore, the present study aims to reinforce this idea by comparing lung TCs with endothelial cells (ECs), since TCs and ECs share immunopositivity for CD34. We applied isobaric tag for relative and absolute quantification (iTRAQ) combined with automated 2‐D nano‐ESI LC‐MS/MS to analyse proteins extracted from TCs and ECs in primary cell cultures. In total, 1609 proteins were identified in cell cultures. 98 proteins (the 5th day), and 82 proteins (10th day) were confidently quantified (screened by two‐sample t‐test, P < 0.05) as up‐ or down‐regulated (fold change >2). We found that in TCs there are 38 up‐regulated proteins at the 5th day and 26 up‐regulated proteins at the 10th day. Bioinformatics analysis using Panther revealed that the 38 proteins associated with TCs represented cellular functions such as intercellular communication (via vesicle mediated transport) and structure morphogenesis, being mainly cytoskeletal proteins and oxidoreductases. In addition, we found 60 up‐regulated proteins in ECs e.g.: cell surface glycoprotein MUC18 (15.54‐fold) and von Willebrand factor (5.74‐fold). The 26 up‐regulated proteins in TCs at 10th day, were also analysed and confirmed the same major cellular functions, while the 56 down‐regulated proteins confirmed again their specificity for ECs. In conclusion, we report here the first extensive comparison of proteins from TCs and ECs using a quantitative proteomics approach. Our data show that TCs are completely different from ECs. Protein expression profile showed that TCs play specific roles in intercellular communication and intercellular signalling. Moreover, they might inhibit the oxidative stress and cellular ageing and may have pro‐proliferative effects through the inhibition of apoptosis. The group of proteins identified in this study needs to be explored further for the role in pathogenesis of lung disease.     

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

Motivation: The quest for high-throughput proteomics has revealeda number of challenges in recent years. Whilst substantial improvementsin automated protein separation with liquid chromatography andmass spectrometry (LC/MS), aka ‘shotgun’ proteomics,have been achieved, large-scale open initiatives such as theHuman Proteome Organization (HUPO) Brain Proteome Project haveshown that maximal proteome coverage is only possible when LC/MSis complemented by 2D gel electrophoresis (2-DE) studies. Moreover,both separation methods require automated alignment and differentialanalysis to relieve the bioinformatics bottleneck and so makehigh-throughput protein biomarker discovery a reality. The purposeof this article is to describe a fully automatic image alignmentframework for the integration of 2-DE into a high-throughputdifferential expression proteomics pipeline. Results: The proposed method is based on robust automated imagenormalization (RAIN) to circumvent the drawbacks of traditionalapproaches. These use symbolic representation at the very earlystages of the analysis, which introduces persistent errors dueto inaccuracies in modelling and alignment. In RAIN, a third-ordervolume-invariant B-spline model is incorporated into a multi-resolutionschema to correct for geometric and expression inhomogeneityat multiple scales. The normalized images can then be compareddirectly in the image domain for quantitative differential analysis.Through evaluation against an existing state-of-the-art methodon real and synthetically warped 2D gels, the proposed analysisframework demonstrates substantial improvements in matchingaccuracy and differential sensitivity. High-throughput analysisis established through an accelerated GPGPU (general purposecomputation on graphics cards) implementation. Availability: Supplementary material, software and images usedin the validation are available at http://www.proteomegrid.org/rain/ Contact: g.z.yang{at}imperial.ac.uk Supplementary information: Supplementary data are availableat Bioinformatics online. Associate Editor: David Rocke     

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.     

Comparison of DIGE and post-stained gel electrophoresis with both traditional and SameSpots analysis for quantitative proteomics

2-DE is an important tool in quantitative proteomics. Here, we compare the deep purple (DP) system with DIGE using both a traditional and the SameSpots approach to gel analysis. Missing values in the traditional approach were found to be a significant issue for both systems. SameSpots attempts to address the missing value problem. SameSpots was found to increase the proportion of low volume data for DP but not for DIGE. For all the analysis methods applied in this study, the assumptions of parametric tests were met. Analysis of the same images gave significantly lower noise with SameSpots (over traditional) for DP, but no difference for DIGE. We propose that SameSpots gave lower noise with DP due to the stabilisation of the spot area by the common spot outline, but this was not seen with DIGE due to the co-detection process which stabilises the area selected. For studies where measurement of small abundance changes is required, a cost-benefit analysis highlights that DIGE was significantly cheaper regardless of the analysis methods. For studies analysing large changes, DP with SameSpots could be an effective alternative to DIGE but this will be dependent on the biological noise of the system under investigation.     

Improvements in allelic discrimination of microsatellite markers using denaturing polyacrylamide gel electrophoresis

Poor resolution, retarded progress of DNA through gels, and variable sizing of DNA fragments between and within gels hinder accurate genotyping of some simple sequence length polymorphism (SSLP) markers with the Perkin Elmer Applied Biosystems 377 Sequenator. These problems are similar to renaturation related problems observed in DNA sequencing gels. PCR products especially susceptible to these problems are shown to have higher melting temperatures (T_m) than others. Gels containing increased concentrations of denaturants allow greater accuracy in allelic discrimination. This is especially beneficial where quantification is necessary. Received: 7 February 2000 / Accepted: 16 March 2000     

Sample size and replication in 2D gel electrophoresis studies

Two-dimensional gel electrophoresis can be an expensive technology, and many studies are based on a modest number of replicates. It is important that the statistical power is sufficient to detect protein expression differences of interest. This paper reviews the application of power calculations and considers how other issues affect the choice of sample size. The important distinction between biological and technical replication is made, and the superiority of the former is emphasized.     

Study of early leaf senescence in Arabidopsis thaliana by quantitative proteomics using reciprocal 14N/15N labeling and difference gel electrophoresis

Leaf senescence represents the final stage of leaf development and is associated with fundamental changes on the level of the proteome. For the quantitative analysis of changes in protein abundance related to early leaf senescence, we designed an elaborate double and reverse labeling strategy simultaneously employing fluorescent two-dimensional DIGE as well as metabolic (15)N labeling followed by MS. Reciprocal (14)N/(15)N labeling of entire Arabidopsis thaliana plants showed that full incorporation of (15)N into the proteins of the plant did not cause any adverse effects on development and protein expression. A direct comparison of DIGE and (15)N labeling combined with MS showed that results obtained by both quantification methods correlated well for proteins showing low to moderate regulation factors. Nano HPLC/ESI-MS/MS analysis of 21 protein spots that consistently exhibited abundance differences in nine biological replicates based on both DIGE and MS resulted in the identification of 13 distinct proteins and protein subunits that showed significant regulation in Arabidopsis mutant plants displaying advanced leaf senescence. Ribulose 1,5-bisphosphate carboxylase/oxygenase large and three of its four small subunits were found to be down-regulated, which reflects the degradation of the photosynthetic machinery during leaf senescence. Among the proteins showing higher abundance in mutant plants were several members of the glutathione S-transferase family class phi and quinone reductase. Up-regulation of these proteins fits well into the context of leaf senescence since they are generally involved in the protection of plant cells against reactive oxygen species which are increasingly generated by lipid degradation during leaf senescence. With the exception of one glutathione S-transferase isoform, none of these proteins has been linked to leaf senescence before.     

Double standards in quantitative proteomics: direct comparative assessment of difference in gel electrophoresis and metabolic stable isotope labeling

Quantitative protein expression profiling is a crucial part of proteomics and requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. In this report we evaluate in a direct comparative assessment two state-of-the-art quantitative proteomic approaches, namely difference in gel electrophoresis (DiGE) and metabolic stable isotope labeling. Therefore, Saccharomyces cerevisiae was grown under well defined experimental conditions in chemostats under two single nutrient-limited growth conditions using (14)N- or (15)N-labeled ammonium sulfate as the single nitrogen source. Following lysis and protein extraction from the two yeast samples, the proteins were fluorescently labeled using different fluorescent CyDyes. Subsequently, the yeast samples were mixed, and the proteins were separated by two-dimensional gel electrophoresis. Following in-gel digestion, the resulting peptides were analyzed by mass spectrometry using a MALDI-TOF mass spectrometer. Relative ratios in protein expression between these two yeast samples were determined using both DiGE and metabolic stable isotope labeling. Focusing on a small, albeit representative, set of proteins covering the whole gel range, including some protein isoforms and ranging from low to high abundance, we observe that the correlation between these two methods of quantification is good with the differential ratios determined following the equation R(Met.Lab.) = 0.98R(DiGE) with r(2) = 0.89. Although the correlation between DiGE and metabolic stable isotope labeling is exceptionally good, we do observe and discuss (dis)advantages of both methods as well as in relation to other (quantitative) approaches.     

Measurement of cytochrome f in thylakoids of higher plants using quantitative gel electrophoresis

A quantitative method was developed to estimate the concentration of cytochrome (cyt) f in isolated thylakoids, using sodium dodecyl sulfate-polyacrylamide gel electrophoresis followed by staining with a heme-specific reagent containing 3,3',5,5'-tetramethylbenzidine and hydrogen peroxide. This densitometric technique was at least as sensitive as difference spectroscopy. Analysis of thylakoid preparations by densitometry of stained bands using cyt c as standard gave molar ratios of cyt/chlorophyll which were identical to ratios obtained by difference spectroscopy. Densitometric assays demonstrated that the molar ratio of cyt f/chlorophyll decreased during leaf aging in seven higher plants; however, there was a marked difference in the rate at which cyt f was lost from the leaves of different species.     

An evaluation of the use of two-dimensional gel electrophoresis in proteomics

With whole genomes being sequenced almost routinely, the next logical step towards a better understanding of cellular mechanisms lies in studying the functional units of gene expression-proteins. One of the fundamental approaches in proteomics is the use of two-dimensional gel electrophoresis as a mode of separation and visualization of complex protein mixtures. Despite several limitations of the method, its ability to separate large numbers of proteins, including their post-translationally modified forms, ensures that it will continue to be popular in several well-defined areas of proteomics. In this article, we discuss the merits and drawbacks of two-dimensional gels and compare them with alternative systems such as one-dimensional gels and liquid chromatography-based separation methods. In the wake of recent advances in mass spectrometry and related areas, we outline areas where two-dimensional gels can best be utilized as the preferred separation method in proteomic strategies.     

Studies on catechol-O-methyltransferase in rat brain using two-dimensional gel electrophoresis

The presence of catechol-O-methyltransferase (COMT) in the rat brain was studied using a combination of two-dimensional gel electrophoresis (2-DE), protein blotting and a specific antiserum. Two major immunoreactive proteins were identified—one with mol. wt 23 kdalton and an isoelectric point of 5.2, the other of mol. wt 25 kdalton and an isoelectric point of 5.1. In addition, multiple lower molecular weight immunoreactive proteins, possibly corresponding to breakdown products of the enzyme, were also detected. The 23 kdalton form of COMT, which is probably the soluble form of the enzyme, is a major protein visible on silver-stained 2-D gels of rat brain. In contrast, the other proteins recognized by the antiserum were not detected by the silver stain. These results demonstrate, using 2-DE, that at least two distinct forms of catechol-O-methyltransferase are present in rat brain. In addition, since one of these proteins is stained by silver, these results also serve to identify another protein visible on 2-D electrophoretograms of rat brain.     

Detection of circular telomeric DNA without 2D gel electrophoresis

The end of linear chromosomes forms a lasso-like structure called the t-loop. Such t-loops resemble a DNA recombination intermediate, where the single-stranded 3' overhang is arrested in a stretch of duplex DNA. Presumably, such a t-loop can also be deleted via a recombination process. This would result in the occurrence of circular extrachromosomal telomeric DNA (t-circles), which are known to be abundantly present in immortal cells engaging the recombination-based alternative lengthening of telomeres pathway (ALT pathway). Little is known about the basic mechanism of telomeric recombination in these cells and what ultimately causes the generation of such t-circles. Current standard procedures for detecting these molecules involve 2D gel electrophoresis or electron microscopy. However, both methods are labor intense and sophisticated to perform. Here, we present a simpler, faster, and equally sensitive method for detecting t-circles. Our approach is a telomere restriction fragment assay that involves the enzymatic preservation of circular DNA with Klenow enzyme followed by Bal31 degradation of the remaining linear DNA molecules. We show that with this approach t-circles can be detected in ALT cell lines, whereas no t-circles are present in telomerase-positive cell lines. We consider our approach a valid method in which t-circle generation is the experimental readout.     

Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility

The Pine Wood Nematode (PWN) Bursaphelenchus xylophilus is a severe forest pathogen in countries where it has been introduced and is considered a worldwide quarantine organism. In this study, protein markers for differentiating populations of this nematode were identified by studying differences among four selected Iberian and one American population. These populations were compared by quantitative proteomics (iTRAQ). From a total of 2860 proteins identified using the public database from the B. xylophilus genome project, 216 were unambiguous and significantly differentially regulated in the studied populations. Comparisons of their pairwise ratio were statistically treated and supported in order to convert them into discrete character states, suggesting that 141 proteins were not informative as population specific markers. Application of the Character Compatibility methodology on the remaining 75 proteins (belonging to families with different biological functions) excludes 27 which are incompatible among them. Considering only the compatible proteins, the method selects a subset of 30 specific unique protein markers which allowed the compared classification of the Iberian isolates. This approach makes it easier search for diagnostic tools and phylogenetic inference within species and populations of a pathogen exhibiting a high level of genetic diversity.     

Evaluation of benzo(a)pyrene-induced DNA damage in human endothelial cells using alkaline single cell gel electrophoresis

The alkaline version of the 'comet assay' was used to evaluate DNA damage in human umbilical vein endothelial cells (HUVEC) exposed to 0.1, 1.0, or 10 microM benzo(a)pyrene for 90min. The genotoxicity was monitored in HUVEC pretreated with the Ah-receptor agonist beta-naphthoflavone (BNF), previously shown to induce cytochrome P4501A1 (CYP1A1) activity in these cells, and in vehicle-treated HUVEC with only constitutive levels of this enzyme. Increased DNA damage was observed only in cells that had been exposed to 10 microM benzo(a)pyrene, cells exposed to BNF being subjected to the most extensive damage. The CYP1A/B-inhibitor alpha-naphthoflavone (ANF) reduced the benzo(a)pyrene-induced DNA-damage in the BNF-treated HUVEC to the same level as in the uninduced cells. The fact that benzo(a)pyrene induced DNA damage in vehicle-treated HUVEC suggests that there may be at least one alternative route of bioactivation for benzo(a)pyrene in these cells. Consequently, judging from the present results it seems as if tobacco-related polycyclic aromatic hydrocarbons (PAHs) may disrupt the function of the endothelial lining in blood vessels with low monooxygenase activity. It is proposed that exposure to Ah receptor agonists via, for example, tobacco smoke, may enhance the DNA-damaging effects of smoke-related genotoxic PAHs in human endothelial cells. The role of PAHs in endothelial dysfunction of tobacco smokers should therefore be further studied.