Proteomic analysis in clear cell renal cell carcinoma: identification of differentially expressed protein by 2-D DIGE

Renal cell carcinoma (RCC), the most common neoplasm affecting the adult kidney, is characterised by heterogeneity of histological subtypes, drug resistance, and absence of molecular markers. Two-dimensional difference gel electrophoresis (2-D DIGE) technology in combination with mass spectrometry (MS) was applied to detect differentially expressed proteins in 20 pairs of RCC tissues and matched adjacent normal kidney cortex (ANK), in order to search for RCC markers. After gel analysis by DeCyder 6.5 and EDA software, differentially expressed protein spots were excised from Deep Purple stained preparative 2DE gel. A total of 100 proteins were identified by MS out of 2500 spots, 23 and 77 of these were, respectively, over- and down-expressed in RCC. The Principal Component Analysis applied to gels and protein spots exactly separated the two sample classes in two groups: RCC and ANK. Moreover, some spots, including ANXA2, PPIA, FABP7 and LEG1, resulted highly differential. The DIGE data were also confirmed by immunoblotting analysis for these proteins. In conclusion, we suggest that applying 2-D DIGE to RCC may provide the basis for a better molecular characterization and for the discovery of candidate biomarkers.     

Differentially expressed cytosolic proteins in human leukemia and lymphoma cell lines correlate with lineages and functions

Identification of cytosolic proteins differentially expressed between types of leukemia and lymphoma may provide a molecular basis for classification and understanding their cellular properties. Two-dimensional fluorescence difference gel electrophoresis (DIGE) and mass spectrometry have been used to identify proteins that are differentially expressed in cytosolic extracts from four human leukemia and lymphoma cell lines: HL-60 (acute promyelocytic leukemia), MEC1 (B-cell chronic lymphocytic leukemia), CCRF-CEM (T-cell acute lymphoblastic leukemia) and Raji (B-cell Burkitt's lymphoma). A total of 247 differentially expressed proteins were identified between the four cell lines. Analysis of the data by principal component analysis identified 22 protein spots (17 different protein species) differentially expressed at more than a 95% variance level between these cell lines. Several of these proteins were differentially expressed in only one cell line: HL-60 (myeloperoxidase, phosphoprotein 32 family member A, ras related protein Rab-11B, protein disulfide-isomerase, ran-specific GTPase-activating protein, nucleophosmin and S-100 calcium binding protein A4), and Raji (ezrin). Several of these proteins were differentially expressed in two cell lines: Raji and MEC1 (C-1-tetrahydrofolate synthase, elongation factor 2, alpha- and beta-tubulin, transgelin-2 and stathmin). MEC1 and CCRF-CEM (gamma-enolase), HL-60 and CCRF-CEM (ubiquitin-conjugating enzyme E2 N). The differentially expressed proteins identified in these four cell lines correlate with cellular properties and provide insights into the molecular basis of these malignancies.     

Toward a comprehensive quantitative proteome database: protein expression map of lymphoid neoplasms by 2-D DIGE and MS

Using 2-D DIGE, we constructed a quantitative 2-D database including 309 proteins corresponding to 389 protein spots across 42 lymphoid neoplasm cell lines. The proteins separated by 2-D PAGE were identified by MS and assigned to the expression data obtained by 2-D DIGE. The cell lines were categorized into four groups: those from Hodgkin's lymphoma (HL) (4 cell lines), B cell malignancies (19 cell lines), T cell malignancies (16 cell lines), and natural killer (NK) cell malignancies (3 cell lines). We characterized the proteins in the database by classifying them according to their expression level. We found 28 proteins with more than a 2-fold difference between the cell line groups. We also noted the proteins that allowed multidimensional separation to be achieved (1) between HL cells and other cells, (2) between the cells derived from B cells, T cells and NK cells, and (3) between HL cells and anaplastic large cell lymphoma cells. Decision tree classification identified five proteins that could be used to classify the 42 cell lines according to differentiation. These results suggest that the quantitative 2-D database using 2-D DIGE will be a useful resource for studying the mechanisms underlying the differentiation phenotypes of lymphoid neoplasms.     

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.     

Proteomic analysis of papaya (Carica papaya L.) displaying typical sticky disease symptoms

Papaya (Carica papaya L.) hosts the only described laticifer-infecting virus (Papaya meleira virus, PMeV), which is the causal agent of papaya sticky disease. To understand the systemic effects of PMeV in papaya, we conducted a comprehensive proteomic analysis of leaf samples from healthy and diseased plants grown under field conditions. First, a reference 2-DE map was established for proteins from healthy samples. A total of 486 reproducible spots were identified, and MALDI-TOF-MS/MS data identified 275 proteins accounting for 159 distinct proteins from 231 spots that were annotated. Second, the differential expression of proteins from healthy and diseased leaves was determined through parallel experiments, using 2-DE and DIGE followed by MALDI-TOF-MS/MS and LC-IonTrap-MS/MS, respectively. Conventional 2-DE analysis revealed 75 differentially expressed proteins. Of those, 48 proteins were identified, with 26 being upregulated (U) and 22 downregulated (D). In general, metabolism-related proteins were downregulated, and stress-responsive proteins were upregulated. This expression pattern was corroborated by the results of the DIGE analysis, which identified 79 differentially expressed proteins, with 23 identified (17 U and 6 D). Calreticulin and the proteasome subunits 20S and RPT5a were shown to be upregulated during infection by both 2-DE and DIGE analyses. These data may help shed light on plant responses against stresses and viral infections.     

采用定量蛋白质组学技术筛选小鼠肝癌淋巴道转移相关蛋白

淋巴道转移是上皮来源恶性肿瘤转移的早期阶段,其发生机制不清,一直是肿瘤学研究面临的难题,为寻找淋巴道转移相关蛋白,以一对来源于同一亲本细胞,且淋巴道转移潜能显著不同的小鼠肝癌腹水型细胞株为研究对象,其中Hca-F为高淋巴道转移力细胞株,Hca-P为低淋巴道转移力细胞株,采用定量蛋白质组学技术——荧光差异双向凝胶电泳,建立了高低淋巴道转移力小鼠肝癌细胞荧光差异蛋白表达图谱,高通量筛选与肿瘤淋巴道转移相关的蛋白质.经DeCyde软件分析,共得到163个有统计学差异的蛋白质点,选择2倍以上的差异性蛋白质点23个,经质谱鉴定得到17个蛋白质,在Hca-F中高表达的蛋白质有7个:转羟乙醛酶、波形蛋白、肌酸激酶(脑)、膜联蛋白7、膜联蛋白5、烯酰辅酶A水合酶1(过氧化物酶体)、核内异质核糖核蛋白A2/B1异构体1.而在Hca-F中低表达的蛋白质有10个:真核翻译延长因子2、Ero1样蛋白、乙醛脱氢酶2(线粒体)、苹果酸盐脱氢酶2(NAD)、β-内酰胺酶2、谷胱甘肽S转移酶"1、泛素C末端水解酶同工酶L3、内质网蛋白29(前体)、溶血磷脂酶1、微管不稳定蛋白.这些差异性蛋白质的功能涉及到代谢、蛋白质分泌、蛋白质结合、核苷酸结合,钙离子结合、凋亡和调节生长等过程.对这些蛋白质功能的进一步验证,将有助于解析肿瘤淋巴道转移的分子机制.     

胃癌及癌旁组织定量比较蛋白质组学研究

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

Proteomic analysis of infiltrating ductal carcinoma tissues by coupled 2-D DIGE/MS/MS analysis

There is a growing interest in protein expression profiling aiming to identify novel diagnostic markers in breast cancer. Proteomic approaches such as two-dimensional differential gel electrophoresis coupled with tandem mass spectrometry analysis (2-D DIGE/MS/MS) have been used successfully for the identification of candidate biomarkers for screening, diagnosis, prognosis and monitoring of treatment response in various types of cancer. Identifying previously unknown proteins of potential clinical relevance will ultimately help in reaching effective ways to manage the disease. We analyzed breast cancer tissues from five tumor and five normal tissue samples from ten breast cancer subjects with infiltrating ductal carcinoma (IDC) by 2-D DIGE using two types of immobilized pH gradient (IPG) strips: pH 3-10 and pH 4-7. From all the spots detected, differentially expressed (p < 0.05 and ratio > 2) were 50 spots. Of these, 39 proteins were successfully identified by MS, representing 29 different proteins. Ten proteins were overexpressed in the tumor samples. The 2-D DIGE/MS/MS analysis revealed an increase in the expression levels in tumor samples of several proteins not previously associated with breast cancer, such as: macrophage-capping protein (CAPG), phosphomannomutase 2 (PMM2), ATPase ASN1, methylthioribose-1-phosphate isomerase (MRI1), peptidyl-prolyl cis-trans isomerase FKBP4, cellular retinoic acid-binding protein 2 (CRABP2), lamin B1 and keratin, type II cytoskeletal 8 (KRT8). Ingenuity Pathway Analysis (IPA) revealed highly significant (p = 10(-26)) interactions between the identified proteins and their association with cancer. These proteins are involved in many diverse pathways and have established roles in cellular metabolism. It remains the goal of future work to test the suitability of the identified proteins in samples of larger and independent patient groups.     

Proteome map of the normal murine ventricular myocardium

Cardiovascular disease is the leading cause of morbidity and mortality in developed countries. The underlying mechanisms involved in cardiac dysfunction and heart failure are poorly understood. In this study, 2-DE was utilised to map, for the first time, proteins of normal, nonfailing mouse ventricular tissues to form a basis for future comparative analysis of mouse models with cardiovascular disorders. Proteins were obtained from ventricles of C57BL6 mice, aged 18 wk, and separated by 2-DE. A total of 150 protein spots, corresponding to 77 distinct proteins, were identified by MALDI-TOF MS. The proteins identified in mouse ventricles covered a wide range of biological processes (e.g. cell cycle, muscle contraction and signal transduction), with the majority of proteins contributing to cardiomyocyte energetics and cell structure. This 2-D gel map of mouse myocardial proteins will be an invaluable tool in proteomic research for the detection of protein changes and identifying cardiac biomarkers of cardiovascular disease.     

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

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

Two-dimensional fluorescence difference gel electrophoresis analysis of spermatogenesis in the rat

The molecular mechanisms underlying normal and pathological spermatogenesis remain poorly understood. We compared protein concentrations in different germ cell types to identify those proteins specifically or preferentially expressed at each stage of rat spermatogenesis. Crude cytosolic protein extracts and reversed-phase HPLC prefractionated cytosolic extracts from spermatogonia, pachytene spermatocytes, and early spermatids were subjected to two-dimensional difference gel electrophoresis (2-D DIGE). By comparing gels and carrying out statistical analyses, we were able to identify 1274 protein spots with relative abundances differing significantly between the three cell types. We found that 265 of these spots displaying highly differential expression (ratio > or = 2.5 between two cell types), identified by mass fingerprinting, corresponded to 123 nonredundant proteins. The proteins clustered into three clades, corresponding to mitotic, meiotic, and post-meiotic cell types. The differentially expressed proteins identified by 2-D DIGE were confirmed and validated by western blotting and immunohistochemistry, in the few cases in which antibodies were available. 2-D DIGE appears a relevant proteomics approach for studying rat germ cell differentiation, allowing the establishment of the precise expression profiles for a relatively large number of proteins during normal spermatogenesis.     

Proteome‐wide search for PP2A substrates in fission yeast

PP2A (protein phosphatase 2A) is a major phosphatase in eukaryotic cells that plays an essential role in many processes. PP2A mutations in Schizosaccharomyces pombe result in defects of cell cycle control, cytokinesis and morphogenesis. Which PP2A substrates are responsible for these changes is not known. In this work, we searched for PP2A substrates in S. pombe using two approaches, 2D‐DIGE analysis of PP2A complex mutants and identification of PP2A interacting proteins. In both cases, we used MS to identify proteins of interest. In the DIGE experiment, we compared proteomes of wild‐type S. pombe, deletion of pta2, the phosphoactivator of the PP2A catalytic subunit, and pab1–4, a mutant of B‐type PP2A regulatory subunit. A total of 1742 protein spots were reproducibly resolved by 2D‐DIGE and 51 spots demonstrated significant changes between PP2A mutants and the wild‐type control. MS analysis of these spots identified 27 proteins that include key regulators of glycerol synthesis, carbon metabolism, amino acid biosyntesis, vitamin production, and protein folding. Importantly, we independently identified a subset of these proteins as PP2A binding partners by affinity precipitation, suggesting they may be direct targets of PP2A. We have validated our approach by demonstrating that phosphorylation of Gpd1, a key enzyme in glycerol biogenesis, is regulated by PP2A and that ability of cells to respond to osmotic stress by synthesizing glycerol is compromised in the PP2A mutants. Our work contributes to a better understanding of PP2A function and identifies potential PP2A substrates.     

2-D DIGE analysis of the budding yeast pH 6-11 proteome in meiosis

Meiosis is the cell division that generates haploid gametes from diploid precursors. To provide insight into the functional proteome of budding yeast during meiosis, a 2-D DIGE kinetic approach was used to study proteins in the pH 6-11 range. Nearly 600 protein spots were visualised and 79 spots exhibited statistically significant changes in abundance as cells progressed through meiosis. Expression changes of up to 41-fold were detected and protein sequence information was obtained for 48 spots. Single protein identifications were obtained for 21 spots including different gel mobility forms of 5 proteins. A large number of post-translational events are suggested for these proteins, including processing, modification and import. The data are incorporated into an online 2-DE map of meiotic proteins in budding yeast, which extends our initial DIGE investigation of proteins in the pH 4-7 range. Together, the analyses provide peptide sequence data for 84 protein spots, including 50 single-protein identifications and gel mobility isoforms of 8 proteins. The largest classes of identified proteins include carbon metabolism, protein catabolism, protein folding, protein synthesis and the oxidative stress response. A number of the corresponding genes are required for yeast meiosis and recent studies have identified similar classes of proteins expressed during mammalian meiosis. This proteomic investigation and the resulting protein reference map make an important contribution towards a more detailed molecular view of yeast meiosis.     

Comparative proteomic analysis reveals differentially expressed proteins in Caenorhabditis elegans pgl-1 mutants grown at 20°C and 25°C

PGL-1 is an RNA-binding protein component of germ granules and essential for fertility in Caenorhabditis elegans. To clarify the molecular function of PGL-1, we performed comparative proteomic analysis using 2-D DIGE and LC-MS/MS. Five groups of synchronized adult hermaphrodites were analyzed: (1) wild-type N2 grown at 20°C, (2) pgl-1(bn101) mutants grown at 20°C, (3) pgl-1(bn101) mutants grown at 20°C then upshifted to 25°C after the L1 stage, (4) pgl-1(ct131) mutants grown at 20°C, and (5) pgl-1(ct131) mutants grown at 20°C then upshifted to 25°C after the L1 stage. The five groups were divided into two experimental sets for 2-D DIGE: set A included N2 and pgl-1(bn101) mutants, and set B included N2 and pgl-1(ct131) mutants. Dunnett's test indicated 90 and 100 specific spots, respectively, with significantly different expression levels from the rest of the experimental set (q≤0.1). Among them, 69 and 58 spots, respectively, were analyzed by LC-MS/MS. Finally, we identified 19 proteins from 24 specific spots common to both the experimental sets. RNAi analysis indicated that decreased eef-1G expression is strongly associated with the temperature-sensitive sterile phenotype of pgl-1. Our results suggest that PGL-1 is closely involved in translational processes during C. elegans germline development.     

Variation in the monocyte proteome

We have determined the variability of the monocyte proteome and identified those proteins that demonstrate the greatest variation in the general control population. Monocytes were isolated from 18 healthy (9 male and 9 female) donors ages 18-50 and with no known genetic or blood disorder. A combination of Ficoll-Paque PLUS density centrifugation of cells found in the buffy coat and positive selection with monoclonal antibodies against CD14, coupled to magnetic beads, led to >98% purity of monocytes. A 100,000 g microsomal membrane fraction or 100,000 g supernatant fraction from a control subject was compared to the equivalent fractions from a distinct control subject by two-dimensional differential gel electrophoresis (2D DIGE). Those protein spots that demonstrated Cy3-/Cy5- ratios greater than 2.5-fold in at least one experiment were selected for further statistical analysis. We determined variability for 31 cytosolic and 12 membrane protein spots. Proteins have been identified for 27 of the cytosolic protein spots and 9 of the microsomal membrane protein spots by in-gel digestion with trypsin followed by reverse-phase high-performance liquid chromatography in line with tandem mass spectrometry. We identified 24 distinct monocyte proteins that demonstrated the greatest variability in this general control population. The proteins demonstrating the greatest variance in the cytosolic fraction were enolase-1 and WD (tryptophan-aspartate) repeat-containing protein 1, and in the membrane fraction they were lamin B1 and L-plastin. This study demonstrates the importance of considering variance in the control population when performing future protein profiling comparisons of monocytes derived from disease versus control populations.