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.     

Subtoxic and toxic concentrations of benzene and toluene induce Nrf2‐mediated antioxidative stress response and affect the central carbon metabolism in lung epithelial cells A549

Since people in industrialized countries spend most of their time indoors, the effects of indoor contaminants such as volatile organic compounds become more and more relevant. Benzene and toluene are among the most abundant compounds in the highly heterogeneous group of indoor volatile organic compounds. In order to understand their effects on lung epithelial cells (A549) representing lung's first line of defense, we chose a global proteome and a targeted metabolome approach in order to detect adverse outcome pathways caused by exposure to benzene and toluene. Using a DIGE approach, 93 of 469 detected protein spots were found to be differentially expressed after exposure to benzene, and 79 of these spots were identified by MS. Pathway analysis revealed an enrichment of proteins involved in Nrf2‐mediated and oxidative stress response glycolysis/gluconeogenesis. The occurrence of oxidative stress at nonacute toxic concentrations of benzene and toluene was confirmed by the upregulation of the stress related proteins NQO1 and SOD1. The changes in metabolism were validated by ion chromatography MS/MS analysis revealing significant changes of glucose‐6‐phosphate, fructose‐6‐phosphate, 3‐phosphoglycerate, and NADPH. The molecular alterations identified as a result of benzene and toluene exposure demonstrate the detrimental effect of nonacute toxic concentrations on lung epithelial cells. The data provided here will allow for a targeted validation in in vivo models.     

Proteomics of extreme freezing tolerance in Siberian spruce (Picea obovata)

Differential expression of proteins in needles of the extreme freeze tolerant conifer Picea obovata during September, October and November was analyzed using DIGE technology and multivariate analysis. More than 1200 spots were detected, and the abundance of 252 of these spots was significantly altered during the course of acclimation. The 252 spots were clustered into five distinct expression profiles. Among the protein spots showing differential expression, 43 were identified by MALDI-TOF/TOF and twelve of them matched proteins associated with various biotic and abiotic stress responses in other plants. Dehydrins, Hsp70s, AAA⁺ ATPases, lipocalin, cyclophilins, glycine-rich protein (GNP) and several reactive oxygen intermediate scavenging proteins showed increased accumulation levels from September to November. The expression profiles and putative role of the identified proteins during acclimation and freezing tolerance are discussed.     

Identification of NaCl stress-responsive apoplastic proteins in rice shoot stems by 2D-DIGE

Plants have evolved sophisticated systems to cope with adverse environmental conditions such as cold, drought, and salinity. Although a number of stress response networks have been proposed, the role of plant apoplast in plant stress response has been ignored. To investigate the role of apoplastic proteins in the salt stress response, 10-day old rice plants were treated with 200mM NaCl for 1, 6 or 12h, and the soluble apoplast proteins of rice shoot stems were extracted for differential analysis, compared with untreated controls, by 2-D DIGE saturation labeling techniques. One hundred twenty-two significantly changed spots were identified by LC-MS/MS, and 117 spots representing 69 proteins have been identified. Of these proteins, 37 are apoplastic proteins according to the bioinformatic analysis. These proteins are mainly involved in the processes of carbohydrate metabolism, oxido-reduction, and protein processing and degradation. According to their functional categories and cluster analysis, a stress response model of apoplastic proteins has been proposed. These data indicate that the apoplast is important in plant stress signal reception and response.     

Proteomics reveals new insights into the role of light in cadmium response in Arabidopsis cell suspension cultures

Light plays an important role in plant growth, development, and response to environmental stresses. To investigate the effects of light on the plant responses to cadmium (Cd) stress, we performed a comparative physiological and proteomic analysis of light‐ and dark‐grown Arabidopsis cells after exposure to Cd. Treatment with different concentrations of Cd resulted in stress‐related phenotypes such as cell growth inhibition and decline of cell viability. Notably, light‐grown cells were more sensitive to heavy metal toxicity than dark‐grown cells, and the basis for this appears to be the elevated Cd accumulation, which is twice as much under light than dark growth conditions. Protein profiles analyzed by 2D DIGE revealed a total of 162 protein spots significantly changing in abundance in response to Cd under at least one of these two growing conditions. One hundred and ten of these differentially expressed protein spots were positively identified by MS/MS and they are involved in multiple cellular responses and metabolic pathways. Sulfur metabolism‐related proteins increased in relative abundance both in light‐ and dark‐grown cells after exposure to Cd. Proteins involved in carbohydrate metabolism, redox homeostasis, and anti‐oxidative processes were decreased both in light‐ and dark‐grown cells, with the decrease being lower in the latter case. Remarkably, proteins associated with cell wall biosynthesis, protein folding, and degradation showed a light‐dependent response to Cd stress, with the expression level increased in darkness but suppressed in light. The possible biological importance of these changes is discussed.     

Proteomic analysis reveals perturbed energy metabolism and elevated oxidative stress in hearts of rats with inborn low aerobic capacity

Selection on running capacity has created rat phenotypes of high-capacity runners (HCRs) that have enhanced cardiac function and low-capacity runners (LCRs) that exhibit risk factors of metabolic syndrome. We analysed hearts of HCRs and LCRs from generation 22 of selection using DIGE and identified proteins from MS database searches. The running capacity of HCRs was six-fold greater than LCRs. DIGE resolved 957 spots and proteins were unambiguously identified in 369 spots. Protein expression profiling detected 67 statistically significant (p<0.05; false discovery rate <10%, calculated using q-values) differences between HCRs and LCRs. Hearts of HCR rats exhibited robust increases in the abundance of each enzyme of the β-oxidation pathway. In contrast, LCR hearts were characterised by the modulation of enzymes associated with ketone body or amino acid metabolism. LCRs also exhibited enhanced expression of antioxidant enzymes such as catalase and greater phosphorylation of α B-crystallin at serine 59, which is a common point of convergence in cardiac stress signalling. Thus, proteomic analysis revealed selection on low running capacity is associated with perturbations in cardiac energy metabolism and provided the first evidence that the LCR cardiac proteome is exposed to greater oxidative stress.     

Proteomic analysis of the response of Arabidopsis chloroplast proteins to high light stress

Light is an essential environmental factor in the progression of plant growth and development but prolonged exposure to high levels of light stress can cause cellular damage and ultimately result in the death of the plant. Plants can respond defensively to this stress for a limited period and this involves changes to their gene expression profiles. Proteomic approaches were therefore applied to the study of the response to high light stress in the Arabidopsis thaliana plant species. Wild-type Arabidopsis was grown under normal light (100 micromol photons.m(-2).s(-1)) conditions and then subjected to high light (1000 micromol photons.m(-2).s(-1)) stress. Chloroplasts were then isolated from these plants and both soluble and insoluble proteins were extracted and subjected to two-dimensional (2-D) gel electrophoresis. The resolved proteins were subsequently identified by matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) and comparative database analysis. 64 protein spots, which were identified as candidate factors that responded to high light stress, were then selected for analysis and 52 of these were successfully identified using MALDI-TOF-MS analysis. 35 of the 52 identified proteins were found to decrease their expression levels during high light stress and a further 14 of the candidate proteins had upregulated expression levels under these conditions. Most of the proteins that were downregulated during high light stress are involved in photosynthesis pathways. However, many of the 14 upregulated proteins were identified as previously well-known high light stress-related proteins, such as heat shock proteins (HSPs), dehydroascorbate reductase (DHAR), and superoxide dismutase (SOD). Three novel proteins that were more highly expressed during periods of high light stress but had no clear functional relationship to these conditions, were also identified in this study.     

Comparative proteomic analysis of the Arabidopsis cbl1 mutant in response to salt stress

Many environmental stimuli, including light, biotic and abiotic stress factors, induce changes in cellular Ca(2+) concentrations in plants. Such Ca(2+) signatures are perceived by sensor molecules such as calcineurin B-like (CBL) proteins. AtCBL1, a member of the CBL family which is highly inducible by multiple stress signals, is known to function in the salt stress signal transduction pathway and to positively regulate the plant tolerance to salt. To shed light into the molecular mechanisms of the salt stress response mediated by AtCBL1, a two-dimensional DIGE proteomic approach was applied to identify the differentially expressed proteins in Arabidopsis wild-type and cbl1 null mutant plants in response to salt stress. Seventy-three spots were found altered in expression by least 1.2-fold and 50 proteins were identified by MALDI-TOF/TOF-MS, including some well-known and novel salt-responsive proteins. These proteins function in various processes, such as signal transduction, ROS scavenging, energy production, carbon fixation, metabolism, mRNA processing, protein processing and structural stability. Receptor for activated C kinase 1C (RACK1C, spot 715), a WD40 repeat protein, was up-regulated in the cbl1 null mutant, and two rack1c mutant lines showed decreased tolerance to salt stress, suggesting that RACK1C plays a role in salt stress resistance. In conclusion, our work demonstrated the advantages of the proteomic approach in studies of plant biology and identified candidate proteins in CBL1-mediated salt stress signaling network.     

Proteomic analysis of seed development in Chinese fir (<Emphasis Type="Italic">Cunninghamia lanceolata</Emphasis>)

Seed development is a complex process governed by highly coordinated changes in the expression of a large protein set. DIGE (Difference Gel Electrophoresis)-based proteomics was used to study developing Chinese fir seeds. 153 spots were obtained by using the analysis of DeCyder software (v. 6.5). Cluster analysis showed that they could be joined into three main groups. Eleven spots, more actively expressed at early cotyledonary stage of developing seeds, were identified by LC/MS/MS (tandem MS). Ten spots were identified by searching NCBInr or EST databases. They included two legumin-like storage proteins, LEA protein, small heat-shock protein, PR10-1.13, a protein similar to eukaryotic translation initiation factor, a protein similar to maternal effect embryo arrest 51, ORF115, a protein similar to monodehydroascorbate reductase, and unknown proteins. The potential function of these proteins during the precotyledonary stage of seed development was discussed.     

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.     

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.     

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.     

Proteomic characterization of Phragmites communis in ecotypes of swamp and desert dune

Phragmites communis Trin. (common reed) is a recognized model plant for studying its adaptation to contrasting and harsh environments. To understand the inherent molecular basis for its remarkable resistance to combined stresses, we performed a comprehensive proteomic analysis of the leaf proteins from two ecotypes, i.e. swamp and desert dune, naturally growing in the desert region of northwestern China. First, a proteome reference map of Phragmites was established based on the swamp ecotype. Proteins were resolved by 2‐D/SDS‐PAGE and identified by MALDI‐TOF/TOF MS. In total, 177 spots were identified corresponding to 51 proteins. The major proteins identified are proteins involved in photosynthesis, glutathione and ascorbic acid metabolism as well as protein synthesis and quality control. Second, the 2‐DE profiles of the two ecotypes were compared quantitatively via DIGE analysis. Compared with swamp ecotype, 51 proteins spots are higher‐expressed and 58 protein spots are lower‐expressed by twofold or more in desert dune ecotype. Major differences were found for the proteins involved in light reaction of photosynthesis, protein biosynthesis and quality control and antioxidative reactions. The physiological significance of such differences is discussed in the context of a flow of complex events in relation to plant adaptation to combined environmental stresses.     

Proteomic signatures for histological types of lung cancer

We performed proteomic studies on lung cancer cells to elucidate the mechanisms that determine histological phenotype. Thirty lung cancer cell lines with three different histological backgrounds (squamous cell carcinoma, small cell lung carcinoma and adenocarcinoma) were subjected to two-dimensional difference gel electrophoresis (2-D DIGE) and grouped by multivariate analyses on the basis of their protein expression profiles. 2-D DIGE achieves more accurate quantification of protein expression by using highly sensitive fluorescence dyes to label the cysteine residues of proteins prior to two-dimensional polyacrylamide gel electrophoresis. We found that hierarchical clustering analysis and principal component analysis divided the cell lines according to their original histology. Spot ranking analysis using a support vector machine algorithm and unsupervised classification methods identified 32 protein spots essential for the classification. The proteins corresponding to the spots were identified by mass spectrometry. Next, lung cancer cells isolated from tumor tissue by laser microdissection were classified on the basis of the expression pattern of these 32 protein spots. Based on the expression profile of the 32 spots, the isolated cancer cells were categorized into three histological groups: the squamous cell carcinoma group, the adenocarcinoma group, and a group of carcinomas with other histological types. In conclusion, our results demonstrate the utility of quantitative proteomic analysis for molecular diagnosis and classification of lung cancer cells.     

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.     

Embryo-specific Proteins in <Emphasis Type="Italic">Cyclamen persicum</Emphasis> Analyzed with 2-D DIGE

Somatic embryogenesis can be used to produce artificial seeds of Cyclamen persicum, one of the most important ornamental plants for the European market, both as a potted plant in northern Europe and a bedding plant in the cool winters in southern Europe. The aim of this study was to obtain new insights into the molecular biology of somatic embryogenesis, which in turn can be useful for the improvement of tissue culture methodology. Total proteins were characterized from two isogenic cell lines of Cyclamen persicum, one that was embryogenic and one that never has shown any embryogenic capacity. The extracted proteins were separated by two-dimensional differential gel electrophoresis (2-D DIGE) and selected proteins were treated using the ETTAN Dalt Spot Handling Workstation. Protein identification was performed using MALDI-TOF-MS. More than 1200 Cyclamen proteins were detected; 943 proteins were common to both lines. The different protein patterns of the embryogenic and non-embryogenic cell lines were obvious: One hundred eight proteins were more abundant in the embryogenic cells, and 97 proteins in the non-embryogenic cells. Among the differentially expressed proteins, 128 were identified. MALDI-TOF-MS analysis enabled 27 spots to be proposed as candidates for embryo-specific proteins, as they were unique to the embryogenic cell line. The proteins identified are involved in a variety of cellular processes, including cell proliferation, protein processing, signal transduction, stress response, metabolism, and energy state, but the majority are involved in protein processing and metabolism. The main functions of the putative embryo-specific proteins have been discussed in proportion to their role in the somatic embryogenesis process. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. R. Lyngved and J. Renaut contributed equally to this work.     

2‐D DIGE analysis implicates cytoskeletal abnormalities in psychiatric disease

The mechanisms underlying white matter changes in psychiatric disease are not known. We aimed to characterise the differential protein expression in deep white matter from the dorsolateral prefrontal cortex from 35 schizophrenia, 35 bipolar disorder, and 35 control subjects, from the Stanley Array Collection. We used 2‐D DIGE to profile for protein expression changes in the brain. We found 70 protein spots to be significantly differentially expressed between disease and control subjects (ANCOVA, p<0.05), 46 of which were subsequently identified by LC‐MS/MS. The proteins identified included novel disease candidates as well as proteins that have previously been reported as abnormal in schizophrenia, thus reinforcing their association with the disease. Furthermore, we confirmed the direction of change for three proteins using ELISA, namely neurofilament‐light, amphiphysin II, and Rab‐GDP‐α, in a subset of the Stanley Array Collection. In addition, altered expression of neurofilament‐light, amphiphysin II, and Rab‐GDP‐α was not observed in the cortex of mice chronically treated with haloperidol, making it less likely that these alterations are a consequence of neuroleptic medication. The data presented here strongly suggest disruption of the cytoskeleton and its associated signal transduction proteins in schizophrenia, and to a lesser extent in bipolar disorder.