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.     

Alterations of stress related proteins in genetically altered mice revealed by two-dimensional differential in-gel electrophoresis analysis

Transgenic, knockout and knockin mice are useful tools for linking specific genes with behaviour and other complex biological processes. However, complications arising due to compensatory changes, genetic background differences and other factors could lead to difficulty in interpreting the resulting changes in phenotype. We have used fluorescence two-dimensional differential in-gel electrophoresis in combination with matrix-assisted laser desorption/ionization-time of flight mass fingerprinting to investigate the possibility that distinct genetic alterations can lead to common protein expression changes in genetically modified mice. Brain proteomes were compared from two transgenic mouse strains (Tg2576 x TgPS1 and Tg2576), two knockout mouse strains (5-HT(7)R -/- and GABA(A)Ralpha5 -/-) and one knockin mouse strain (GABA(A)Ralpha1-H101R). Both of the transgenic models showed an isoform change in the heat shock 70 related protein, mortalin. The knockout and knockin models showed similar changes in mortalin expression along with an alteration of the anti-oxidant protein 2. The observed proteomic alterations indicate that stress-responsive protein pathways may be altered artefactually in all of the mouse models used in this study and highlights an area where caution is needed in interpreting proteomic changes in genetically modified mice.     

An integrated proteomic workflow for two-dimensional differential gel electrophoresis and robotic spot picking

New technologies have advanced the field of proteomics, and a number of companies have developed innovative platforms to drive this research. However, significant challenges are often encountered when trying to integrate complementary technologies from multiple manufacturers. We have developed a software and hardware solution to integrate the Ettan two-dimensional difference gel electrophoresis (2-D DIGE) system (GE Healthcare) with the Investigator ProPic spot picking robot (Genomic Solutions). We have analyzed protein sample preparations from bacterial and mammalian sources to demonstrate a new workflow with increased throughput for gel-based proteomics.     

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.     

Assessment of the red cell proteome of young patients with unexplained hemolytic anemia by two-dimensional differential in-gel electrophoresis (DIGE)

Erythrocyte cytosolic protein expression profiles of children with unexplained hemolytic anemia were compared with profiles of close relatives and controls by two-dimensional differential in-gel electrophoresis (2D-DIGE). The severity of anemia in the patients varied from compensated (i.e., no medical intervention required) to chronic transfusion dependence. Common characteristics of all patients included chronic elevation of reticulocyte count and a negative workup for anemia focusing on hemoglobinopathies, morphologic abnormalities that would suggest a membrane defect, immune-mediated red cell destruction, and evaluation of the most common red cell enzyme defects, glucose-6-phosphate dehydrogenase and pyruvate kinase deficiency. Based upon this initial workup and presentation during infancy or early childhood, four patients classified as hereditary nonspherocytic hemolytic anemia (HNSHA) of unknown etiology were selected for proteomic analysis. DIGE analysis of red cell cytosolic proteins clearly discriminated each anemic patient from both familial and unrelated controls, revealing both patient-specific and shared patterns of differential protein expression. Changes in expression pattern shared among the four patients were identified in several protein classes including chaperons, cytoskeletal and proteasome proteins. Elevated expression in patient samples of some proteins correlated with high reticulocyte count, likely identifying a subset of proteins that are normally lost during erythroid maturation, including proteins involved in mitochondrial metabolism and protein synthesis. Proteins identified with patient-specific decreased expression included components of the glutathione synthetic pathway, antioxidant pathways, and proteins involved in signal transduction and nucleotide metabolism. Among the more than 200 proteins identified in this study are 21 proteins not previously described as part of the erythrocyte proteome. These results demonstrate the feasibility of applying a global proteomic approach to aid characterization of red cells from patients with hereditary anemia of unknown cause, including the identification of differentially expressed proteins as potential candidates with a role in disease pathogenesis.     

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.     

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.     

Novel invadopodia components revealed by differential proteomic analysis

When highly invasive cancer cells are cultured on an extracellular matrix substrate, they extend proteolytically active membrane protrusions, termed invadopodia, from their ventral surface into the underlying matrix. Our understanding of the molecular composition of invadopodia has rapidly advanced in the last few years, but is far from complete.To accelerate component discovery, we resorted to a proteomics approach by applying DIfference Gel Electrophoresis (DIGE) to compare invadopodia-enriched sub-cellular fractions with cytosol and cell body membrane fractions and the whole cell lysate. The fractionation procedure was validated through step-by-step monitoring of the enrichment in typical actin-related invadopodia-associated proteins. After statistical analysis, 129 protein spots were selected for peptide mass fingerprinting analysis; of these 76 were successfully identified and found to correspond to 58 proteins belonging to different functional classes including aerobic glycolysis and other metabolic pathways, protein synthesis, degradation and folding, cytoskeletal components and membrane-associated proteins.Finally, validation of a number of identified proteins was carried out by a combination of immuno-blotting on cell fractions and immunofluorescence localization at invadopodia. These results reveal newly identified components of invadopodia and open further avenues to the molecular study of invasive growth behavior of cancer cells.     

Proteomic analysis of human serum by two-dimensional differential gel electrophoresis after depletion of high-abundant proteins

Two-dimensional differential gel electrophoresis (2-D DIGE) was used to analyze human serum following the removal of albumin and five other high-abundant serum proteins. After protein removal, serum was analyzed by SDS-PAGE as a preliminary screen, and significant differences between four high-abundant protein removal methods were observed. Antibody-based albumin removal and high-abundant protein removal methods were found to be efficient and specific. To further characterize serum after protein removal, 2-D DIGE was employed, enabling multiplexed analysis of serum through the use of three fluorescent protein dyes. Comparison between crude serum and serum after removal of high-abundant proteins clearly illustrates an increase in the number of lower abundant protein spots observed. Approximately 850 protein spots were detected in crude serum whereas over 1500 protein spots were exposed following removal of six high-abundant proteins, representing a 76% increase in protein spot detection. Several proteins that showed a 2-fold increase in intensity after depletion of high-abundant proteins, as well as proteins that were depleted during abundant protein removal methods, were further characterized by mass spectrometry. This series of experiments demonstrates that high-abundant protein removal, combined with 2-D DIGE, is a practical approach for enriching and characterizing lower abundant proteins in human serum. Consequently, this methodology offers advances in proteomic characterization, and therefore, in the identification of biomarkers from human serum.     

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

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

湖南烙铁头蛇毒蛋白组分的双向电泳分析

烙铁头蛇是世界上剧毒的蛇种之一,其所携带的毒素能够导致严重的机体损伤。应用蛋白质双向电泳技术,对湖南烙铁头蛇蛇毒蛋白的蛋白质组分进行分析。通过等电聚焦和SDS-PAGE凝胶电泳分析获得完整的烙铁头蛇毒全蛋白质的图谱,经胶体考马斯亮蓝染色后,应用PDQuest软件对蛋白表达谱进行分析。通过等电聚焦和SDS-PAGE凝胶电泳有83个蛋白质组分被检测出来。其中大约90.00%的蛋白质的相对分子质量(Mr)分布在15～45 kDa之间,大约72.29%的蛋白质等电点(pI)在4.0～7.0之间。通过对烙铁头蛇毒的蛋白组学研究,获得其蛇毒蛋白质组分的表征特点,为后续进一步研究各组分的身份和潜在功能奠定基础,既可以提出新的治疗方案又可以为新的药理应用提供宝贵资源。     

On-chip microextraction for proteomic sample preparation of in-gel digests

Despite the high sensitivity and relatively high tolerance for contaminants of matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) there is often a need to purify and concentrate the sample solution, especially after in-gel digestion of proteins separated by two-dimensional gel electrophoresis (2-DE). A silicon microextraction chip (SMEC) for sample clean-up and trace enrichment of peptides was manufactured and investigated. The microchip structure was used to trap reversed-phase chromatography media (POROS R2 beads) that facilitates sample purification/enrichment of contaminated and dilute samples prior to the MALDI-TOF MS analysis. The validity of the SMEC sample preparation technique was successfully investigated by performing analysis on a 10 nM peptide mixture containing 2 m urea in 0.1 m phosphate-buffered saline with MALDI-TOF MS. It is demonstrated that the microchip sample clean-up and enrichment of peptides can facilitate identification of proteins from 2-DE separations. The microchip structure was also used to trap beads immobilized with trypsin, thereby effectively becoming a microreactor for enzymatic digestion of proteins. This microreactor was used to generate a peptide map from a 100 nM bovine serum albumin sample.     

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.     

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.     

Experimental and statistical considerations to avoid false conclusions in proteomics studies using differential in-gel electrophoresis

In quantitative proteomics, the false discovery rate (FDR) can be defined as the number of false positives within statistically significant changes in expression. False positives accumulate during the simultaneous testing of expression changes across hundreds or thousands of protein or peptide species when univariate tests such as the Student's t test are used. Currently most researchers rely solely on the estimation of p values and a significance threshold, but this approach may result in false positives because it does not account for the multiple testing effect. For each species, a measure of significance in terms of the FDR can be calculated, producing individual q values. The q value maintains power by allowing the investigator to achieve an acceptable level of true or false positives within the calls of significance. The q value approach relies on the use of the correct statistical test for the experimental design. In this situation, a uniform p value frequency distribution when there are no differences in expression between two samples should be obtained. Here we report a bias in p value distribution in the case of a three-dye DIGE experiment where no changes in expression are occurring. The bias was shown to arise from correlation in the data from the use of a common internal standard. With a two-dye schema, where each sample has its own internal standard, such bias was removed, enabling the application of the q value to two different proteomics studies. In the case of the first study, we demonstrate that 80% of calls of significance by the more traditional method are false positives. In the second, we show that calculating the q value gives the user control over the FDR. These studies demonstrate the power and ease of use of the q value in correcting for multiple testing. This work also highlights the need for robust experimental design that includes the appropriate application of statistical procedures.     

乙型肝炎病毒疫苗免疫不应答群体中蛋白质组表达差异性的初步研究

以往研究显示,人群中约有10%无法通过接种乙型肝炎病毒(HBV)疫苗而产生保护性水平的应答。为研究HBV疫苗免疫后不应答发生的机制,本研究对108例经正常免疫程序(大连汉信产HBV疫苗,10μg/支,共接种3针)后不同应答水平人群的血浆蛋白质组差异进行分析,将其分为无应答(抗体效价检测结果为阴性)组和高应答(抗体效价约1 000mIU/ml)组。用多重亲和去除系统(MARS)亲和柱去除14种高丰度蛋白后,采用双向荧光差异电泳(2D-DIGE)与基质辅助激光解析电离串联飞行时间质谱(MALDI-TOFMS)相结合的方法,鉴定获得11种差异表达蛋白质。在这些差异表达蛋白质中,α1微球蛋白、激肽原1的表达在无应答人群中较高应答人群上调,而α1抗胰凝乳蛋白酶、维生素D结合蛋白、afamin、抗凝血酶Ⅲ和玻连蛋白表达下调。其中,α1抗胰凝乳蛋白酶、激肽原1和α1微球蛋白的差异性表达进一步得到酶联免疫吸附试验(ELISA)或蛋白免疫印迹法验证。以上蛋白质的表达情况与HBV疫苗免疫应答状况相关,可能成为检测HBV疫苗免疫应答水平的分子标记,为进一步研究免疫不应答机制奠定基础。     

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.