Concurrent Proteomic Fingerprinting and Molecular Analysis of Cyathostomins

Rapid, cost‐effective, efficient, and reliable helminth species identification is of considerable importance to understand host–parasite interactions, clinical disease, and drug resistance. Cyathostomins (Nematoda: Strongylidae) are considered to be the most important equine parasites, yet research on this group is hampered by the large number of 50 morphologically differentiated species, their occurrence in mixed infections with often more than 10 species and the difficulties associated with conventional identification methods. Here, MALDI‐TOF MS, previously successfully applied to identify numerous organisms, is evaluated and compared with conventional and molecular genetic approaches. A simple and robust protocol for protein extraction and subsequent DNA isolation allowing molecular confirmation of proteomic findings is developed, showing that MALDI‐TOF MS can discriminate adult stages of the two closely related cyathostomin species Cylicostephanus longibursatus and Cylicostephanus minutus. Intraspecific variability of proteomic profiles within morphospecies demonstrated an identification of morphospecies with an accuracy of close to 100%. In contrast, three genospecies within C. minutus and sex‐specific profiles within both morphospecies could not be reliably discriminated using MALDI‐TOF MS. In conclusion, MALDI‐TOF MS complemented by the molecular protocol is a reliable and efficient approach for cyathostomin species identification.     

Evaluation of sample preparation methods for the analysis of papaya leaf proteins through two‐dimensional gel electrophoresis

Introduction – A variety of sample preparation protocols for plant proteomic analysis using two‐dimensional gel electrophoresis (2‐DE) have been reported. However, they usually have to be adapted and further optimised for the analysis of plant species not previously studied. Objective – This work aimed to evaluate different sample preparation protocols for analysing Carica papaya L. leaf proteins through 2‐DE. Methodology – Four sample preparation methods were tested: (1) phenol extraction and methanol–ammonium acetate precipitation; (2) no precipitation fractionation; and the traditional trichloroacetic acid–acetone precipitation either (3) with or (4) without protein fractionation. The samples were analysed for their compatibility with SDS–PAGE (1‐DE) and 2‐DE. Fifteen selected protein spots were trypsinised and analysed by matrix‐assisted laser desorption/ionisation time‐of‐flight tandem mass spectrometry (MALDI‐TOF‐MS/MS), followed by a protein search using the NCBInr database to accurately identify all proteins. Results – Methods number 3 and 4 resulted in large quantities of protein with good 1‐DE separation and were chosen for 2‐DE analysis. However, only the TCA method without fractionation (no. 4) proved to be useful. Spot number and resolution advances were achieved, which included having an additional solubilisation step in the conventional TCA method. Moreover, most of the theoretical and experimental protein molecular weight and pI data had similar values, suggesting good focusing and, most importantly, limited protein degradation. Conclusion – The described sample preparation method allows the proteomic analysis of papaya leaves by 2‐DE and mass spectrometry (MALDI‐TOF‐MS/MS). The methods presented can be a starting point for the optimisation of sample preparation protocols for other plant species. Copyright © 2009 John Wiley & Sons, Ltd.     

Proteomics analysis in Caenorhabditis elegans to elucidate the response induced by tyrosol,an olive phenol that stimulates longevity and stress resistance

Tyrosol (TYR, 2‐(4‐hydroxyphenyl)ethanol), one of the main phenols in olive oil and olive fruit, significantly strengthens resistance to thermal and oxidative stress in the nematode Caenorhabditis elegans and extends its lifespan. To elucidate the cellular functions regulated by TYR, we have used a proteomic procedure based on 2DE coupled with MS with the aim to identify the proteins differentially expressed in nematodes grown in a medium containing 250 μM TYR. After the comparison of the protein profiles from 250 μM TYR and from control, 28 protein spots were found to be altered in abundance (≥twofold). Analysis by MALDI‐TOF/TOF and PMF allowed the unambiguous identification of 17 spots, corresponding to 13 different proteins. These proteins were as follows: vitellogenin‐5, vitellogenin‐2, bifunctional glyoxylate cycle protein, acyl CoA dehydrogenase‐3, alcohol dehydrogenase 1, adenosylhomocysteinase, elongation factor 2, GTP‐binding nuclear protein ran‐1, HSP‐4, protein ENPL‐1 isoform b, vacuolar H ATPase 12, vacuolar H ATPase 13, GST 4. Western‐blot analysis of yolk protein 170, ras‐related nuclear protein, elongation factor 2, and vacuolar H ATPase H subunit supported the proteome evidence.     

Global proteomic pattern of Tropheryma whipplei: A Whipple's disease bacterium

The proteome of Tropheryma whipplei, the intracellular bacterium responsible for Whipple's disease (WD), was analyzed using two complementary approaches: 2‐DE coupled with MALDI‐TOF and SDS‐PAGE with nanoLC‐MS/MS. This strategy led to the identification of 206 proteins of 808 predicted ORFs, resolving some questions raised by the genomic sequence of this bacterium. We successfully identified antibiotic targets and proteins with predicted N‐terminal signal sequences. Additionally, we identified a family of surface proteins (known as T. whipplei surface proteins (WiSPs)), which are encoded by a unique group of species‐specific genes and serve as both coding regions and DNA repeats that promote genomic recombination. Comparison of the protein expression profiles of the intracellular facultative host‐associated WD bacterium with other host‐associated, intracellular obligate, and environmental bacteria revealed that T. whipplei shares a proteomic expression profile with other host‐associated facultative intracellular bacteria. In summary, this study describes the global protein expression pattern of T. whipplei and reveals some specific features of the T. whipplei proteome.     

Maize (Zea mays L.) seedling leaf nuclear proteome and differentially expressed proteins between a hybrid and its parental lines

To better understand the underlying molecular basis of leaf development in maize, a reference map of nuclear proteins in basal region of seedling leaf was established using a combination of 2DE and MALDI‐TOF‐MS. In total, 441 reproducible protein spots in nuclear proteome of maize leaf basal region were detected with silver staining in a pH range of 3–10, among which 203 spots corresponding to 163 different proteins were identified. As expected, proteins implicated in RNA and protein‐associated functions were overrepresented in nuclear proteome. Remarkably, a high percentage (10%) of proteins was identified to be involved in cell division and growth. In addition, comparative nuclear proteomic analysis in leaf basal region of highly heterotic hybrid Mo17/B73 and its parental lines was also performed and 52 of 445 (11.69%) detected protein spots were differentially expressed between the hybrid and its parental lines, among which 16 protein spots displayed nonadditively expressed pattern. These results indicated that hybridization between two parental lines can cause changes in the expression of a variety of nuclear proteins, which may be responsible for the observed leaf size heterosis.     

A proteomic approach for identifying cellular proteins interacting with erythropoietin in recombinant Chinese hamster ovary cells

Identification of the cellular proteins interacting with incompletely folded and unfolded forms of erythropoietin (EPO) in recombinant CHO (rCHO) cells leads to better insight into the possible genetic manipulation approaches for increasing EPO production. To do so, a pull‐down assay was performed with dual‐tagged (N‐terminal GST‐ and C‐terminal hexahistidine‐tagged) EPO expressed in E. coli as bait proteins and cell lysates of rCHO cells (DG44) as prey proteins. Cellular proteins interacting with dual‐tagged EPO were then resolved by two‐dimensional gel electrophoresis (2DE) and identified by MALDI‐TOF MS/MS. A total of 27 protein spots including glucose‐regulated protein 78 (GRP78) were successfully identified. Western blot analysis of GRP78 confirmed the results of the MS analyses. Taken together, a pull‐down assay followed by a proteomic approach is found to be an efficient means to identify cellular proteins interacting with foreign protein in rCHO cells. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Analysis of Human Plasma Proteome by 2DE‐ and 2D nanoLC‐Based Mass Spectrometry

Abstract

We compared the 2DE coupled to MALDI‐TOF‐MS and ESI‐MS/MS analysis (2DE‐MS) and the on‐line 2D nanoLC, followed by nanoESI‐MS/MS analysis (2DLC‐MS), for the separation and identification of proteins in high abundance protein‐depleted human plasma. Identification of proteins in the plasma by the two methods demonstrated that the majority of the identified protein set was unique to each method. Therefore, if a comprehensive coverage of the proteome identification is desired, it is ideal to apply both methods. The 2DE‐MS method is amenable to protein spot‐based quantitation, whereas the 2DLC‐MS method may provide an advantage of the high throughput application.     

Proteomics of rice and Cochliobolus miyabeanus fungal interaction: Insight into proteins at intracellular and extracellular spaces

Necrotrophic fungal pathogen Cochliobolus miyabeanus causes brown spot disease in rice leaves upon infection, resulting in critical rice yield loss. To better understand the rice–C. miyabeanus interaction, we employed proteomic approaches to establish differential proteomes of total and secreted proteins from the inoculated leaves. The 2DE approach after PEG‐fractionation of total proteins coupled with MS (MALDI‐TOF/TOF and nESI‐LC‐MS/MS) analyses led to identification of 49 unique proteins out of 63 differential spots. SDS‐PAGE in combination with nESI‐LC‐MS/MS shotgun approach was applied to identify secreted proteins in the leaf apoplast upon infection and resulted in cataloging of 501 unique proteins, of which 470 and 31 proteins were secreted from rice and C. miyabeanus, respectively. Proteins mapped onto metabolic pathways implied their reprogramming upon infection. The enzymes involved in Calvin cycle and glycolysis decreased in their protein abundance, whereas enzymes in the TCA cycle, amino acids, and ethylene biosynthesis increased. Differential proteomes also generated distribution of identified proteins in the intracellular and extracellular spaces, providing a better insight into defense responses of proteins in rice against C. miyabeanus. Established proteome of the rice–C. miyabeanus interaction serves not only as a good resource for the scientific community but also highlights its significance from biological aspects.     

DeepQuanTR: MALDI‐MS‐based label‐free quantification of proteins in complex biological samples

The quantification of changes in protein abundance in complex biological specimens is essential for proteomic studies in basic and applied research. Here we report on the development and validation of the DeepQuanTR software for identification and quantification of differentially expressed proteins using LC‐MALDI‐MS. Following enzymatic digestion, HPLC peptide separation and normalization of MALDI‐MS signal intensities to the ones of internal standards, the software extracts peptide features, adjusts differences in HPLC retention times and performs a relative quantification of features. The annotation of multiple peptides to the corresponding parent protein allows the definition of a Protein Quant Value, which is related to protein abundance and which allows inter‐sample comparisons. The performance of DeepQuanTR was evaluated by analyzing 24 samples deriving from human serum spiked with different amounts of four proteins and eight complex samples of vascular proteins, derived from surgically resected human kidneys with cancer following ex vivo perfusion with a reactive ester biotin derivative. The identification and experimental validation of proteins, which were differentially regulated in cancerous lesions as compared with normal kidney, was used to demonstrate the power of DeepQuanTR. This software, which can easily be used with established proteomic methodologies, facilitates the relative quantification of proteins derived from a wide variety of different samples.     

A comprehensive proteome map of bovine cerebrospinal fluid

Cerebrospinal fluid (CSF) is considered as the most promising body fluid target for the discovery of biomarkers for early diagnosis of neurodegenerative diseases such as Creutzfeldt–Jakob disease in humans and bovine spongiform encephalopathy in cattle. For the recognition of disease‐associated changes in bovine CSF protein patterns, a detailed knowledge of this proteome is a prerequisite. The absence of a high‐resolution CSF proteome map prompted us to determine all bovine CSF protein spots that can be visualised on 2‐D protein gels. Using state‐of‐the‐art 2‐DE technology for proteome mapping of bovine ante mortem CSF combined with sensitive fluorescent protein staining and MALDI‐TOF/TOF MS for protein identification, a highly detailed 2‐DE map of the bovine CSF proteome was established. Besides the proteins mapped by earlier studies, this map contains 66 different proteins, including 58 which were not annotated in bovine 2‐DE CSF maps before.     

Proteomic analysis of Arabidopsis thaliana (L.) Heynh responses to a generalist sucking pest (Myzus persicae Sulzer)

Herbivorous insects can cause severe cellular changes to plant foliage following infestations, depending on feeding behaviour. Here, a proteomic study was conducted to investigate the influence of green peach aphid (Myzus persicae Sulzer) as a polyphagous pest on the defence response of Arabidopsis thaliana (L.) Heynh after aphid colony establishment on the host plant (3 days). Analysis of about 574 protein spots on 2‐DE gels revealed 31 differentially expressed protein spots. Twenty out of these 31 differential proteins were selected for analysis by mass spectrometry. In 12 of the 20 analysed spots, we identified seven and nine proteins using MALDI‐TOF‐MS and LC‐ESI‐MS/MS, respectively. Of the analysed spots, 25% contain two proteins. Different metabolic pathways were modulated in Arabidopsis leaves according to aphid feeding: most corresponded to carbohydrate, amino acid and energy metabolism, photosynthesis, defence response and translation. This paper has established a survey of early alterations induced in the proteome of Arabidopsis by M. persicae aphids. It provides valuable insights into the complex responses of plants to biological stress, particularly for herbivorous insects with sucking feeding behaviour.     

Protein reference mapping of dihydrofolate reductase‐deficient CHO DG44 cell lines using 2‐dimensional electrophoresis

Chinese hamster ovary (CHO) cells are the major mammalian host for producing various therapeutic proteins. Among CHO cells, the dihydrofolate reductase‐deficient CHO DG44 cell line has been used as a popular mammalian host because of the availability of a well‐characterized genetic selection and amplification system. However, this cell line has not been studied at the proteome level. Here, the first detailed proteome analysis of the CHO DG44 cell line is described. A protein reference map of the CHO DG44 cell line was established by analyzing whole cellular proteins using 2‐DE with various immobilized pH gradients (pHs 3–10, 5–8, and 3–6) in the first dimension and a 12% acrylamide gel in the second dimension. The map is composed of over 1400 silver‐stained protein spots. Among them, 179 protein spots, which represent proteins associated with various biological processes and cellular compartments, were identified based on MALDI‐TOF‐MS and MS/MS. This proteome database should be valuable for better understanding of CHO cell physiology and protein expression patterns which may lead to efficient therapeutic protein production.     

Evaluation of sample preparation methods for MALDI-TOF MS identification of highly dangerous bacteria

Aims: To propose a universal workflow of sample preparation method for the identification of highly pathogenic bacteria by MALDI‐TOF MS. Methods and Results: Fifteen bacterial species, including highly virulent Gram‐positive (Bacillus anthracis and Clostridium botulinum) and Gram‐negative bacteria (Brucella melitensis, Burkholderia mallei, Francisella tularensis, Shigella dysenteriae, Vibrio cholerae, Yersinia pestis and Legionella pneumophila), were employed in the comparative study of four sample preparation methods compatible with MALDI‐TOF MS. The yield of bacterial proteins was determined by spectrophotometry, and the quality of the mass spectra, recorded in linear mode in the range of 2000–20 000 Da, was evaluated with respect to the information content (number of signals) and quality (S/N ratio). Conclusions: Based on the values of protein concentration and spectral quality, the method using combination of ethanol treatment followed by extraction with formic acid and acetonitrile was the most efficient sample preparation method for the identification of highly pathogenic bacteria using MALDI‐TOF MS. Significance and Impact of the Study: The method using ethanol/formic acid generally shows the highest extraction efficacy and the spectral quality with no detrimental effect caused by storage. Thus, this can be considered as a universal sample preparation method for the identification of highly virulent micro‐organisms by MALDI‐TOF mass spectrometry.     

Protein extraction from the earthworm Eisenia fetida for 2‐DE

We identified an efficient protocol for extracting proteins from whole earthworm, Eisenia fetida, for 2‐DE. Sample preparation is a critical step in a 2‐DE proteome approach and is absolutely essential for obtaining good results. Six protein extraction protocols based on different protein precipitation agents were tested and evaluated using 2‐DE. The methods generated remarkably different 2‐DE protein spot patterns. We conclude that trichloroacetic acid (TCA)‐A eliminates interfering compounds, thus allowing for the efficient resolubilization of proteins. TCA‐A gives good distinction, more bands in 1‐DE gels, and the most number of protein spots in 2‐DE gels. It is also rapid, provides the higher protein yield, and has the less number of steps. To demonstrate the quality of the extracted proteins, we cut several protein spots that were common to four methods from 2‐DE gels, analyzed them using MALDI‐TOF/TOF MS, and tentatively identified them. The classic TCA‐A method proved to be most useful as a standard method of extracting proteins from E. fetida.     

Alterations of the podocyte proteome in response to high glucose concentrations

Diabetic nephropathy is one of the most common complications of diabetes mellitus and the leading cause of end‐stage renal disease. A reduction in podocyte number has been documented in the kidneys of these patients. To identify the molecular changes in podocytes that are primarily caused by high glucose (HG) concentrations and not by secondary alterations (e.g. glomerular hypertension), we investigated the protein expression profiles in a podocyte cell line under long‐term HG exposure (30 versus 10 mM for 2 wk). Proteins were separated by 2‐DE, and we identified 39 different proteins in 48 spots that were differentially regulated by more than twofold in response to HG concentrations using MALDI‐TOF MS and MASCOT software. These proteins belong to several protein classes, including cytoskeletal proteins and specific annexins (annexins III and VI). Downregulation of annexins III and VI by HG concentrations was confirmed by qRT‐PCR, Western blot, and immunostaining, and was also observed in glomeruli of kidney biopsies from patients with diabetic nephropathy. Our data demonstrate that HG concentrations per se are sufficient to strongly modify the protein expression profile of podocytes, the analysis of which contributes to the identification of novel targets involved in diabetic nephropathy.     

Identification of proteins associated with ion homeostasis and salt tolerance in barley

Identification and characterization of proteins involved in salt tolerance are imperative for revealing its genetic mechanisms. In this study, ionic and proteomic responses of a Tibetan wild barley XZ16 and a well‐known salt‐tolerant barley cv. CM72 were analyzed using inductively coupled plasma‐optical emission spectrometer, 2DE, and MALDI‐TOF/TOF MS techniques to determine salt‐induced differences in element and protein profiles between the two genotypes. In total, 41 differentially expressed proteins were identified in roots and leaves, and they were associated with ion homeostasis, cell redox homeostasis, metabolic process, and photosynthesis. Under salinity stress, calmodulin, Na/K transporters, and H⁺‐ATPases were involved in establishment of ion homeostasis for barley plants. Moreover, ribulose‐1,5‐bisphosphate carboxylase/oxygenase activase and oxygen‐evolving enhancer proteins were significantly upregulated under salinity stress, indicating the great impact of salinity on photosynthesis. In comparison with CM72, XZ16 had greater relative dry weight and lower Na accumulation in the shoots under salinity stress. A higher expression of HvNHX1 in the roots, and some specific proteins responsible for ion homeostasis and cell redox homeostasis, was also found in XZ16 exposed to salt stress. The current results showed that Tibetan wild barley XZ16 and cultivated barley cultivar CM72 differ in the mechanism of salt tolerance.     

Investigation of serum proteome alterations in human glioblastoma multiforme

Glioblastoma multiforme (GBM) or grade IV astrocytoma is the most common and lethal adult malignant brain tumor. The present study was conducted to investigate the alterations in the serum proteome in GBM patients compared to healthy controls. Comparative proteomic analysis was performed employing classical 2DE and 2D‐DIGE combined with MALDI TOF/TOF MS and results were further validated through Western blotting and immunoturbidimetric assay. Comparison of the serum proteome of GBM and healthy subjects revealed 55 differentially expressed and statistically significant (p <0.05) protein spots. Among the identified proteins, haptoglobin, plasminogen precursor, apolipoprotein A‐1 and M, and transthyretin are very significant due to their functional consequences in glioma tumor growth and migration, and could further be studied as glioma biomarkers and grade‐specific protein signatures. Analysis of the lipoprotein pattern indicated elevated serum levels of cholesterol, triacylglycerol, and low‐density lipoproteins in GBM patients. Functional pathway analysis was performed using multiple software including ingenuity pathway analysis (IPA), protein analysis through evolutionary relationships (PANTHER), database for annotation, visualization and integrated discovery (DAVID), and GeneSpring to investigate the biological context of the identified proteins, which revealed the association of candidate proteins in a few essential physiological pathways such as intrinsic prothrombin activation pathway, plasminogen activating cascade, coagulation system, glioma invasiveness signaling, and PI3K signaling in B lymphocytes. A subset of the differentially expressed proteins was applied to build statistical sample class prediction models for discrimination of GBM patients and healthy controls employing partial least squares discriminant analysis (PLS‐DA) and other machine learning methods such as support vector machine (SVM), Decision Tree and Naïve Bayes, and excellent discrimination between GBM and control groups was accomplished.