A proteomic approach to analyze salt-responsive proteins in rice leaf sheath

To examine the response of rice to salt stress, changes in protein expression were analyzed using a proteomic approach. To investigate dose- and time-dependent responses, rice seedlings were exposed to 50, 100 and 150 mM NaCl for 6 to 48 h. Proteins were extracted from leaf sheath and separated by two-dimensional polyacrylamide gel electrophoresis. Eight proteins showed 1- to 3-fold up-regulation in leaf sheath, in response to 50 mM NaCl for 24 h. Among these, three proteins were unidentified (LSY081, LSY262 and LSY363) while five proteins were identified as fructose bisphosphate aldolases, photosystem II (PSII) oxygen evolving complex protein, oxygen evolving enhancer protein 2 (OEE2) and superoxide dismutase (SOD). The maximum expression levels of seven proteins were at 24 h. Their expression declined after 48 h of 50 mM NaCl treatment. In contrast, SOD maintained its elevated expression throughout these conditions. The increased expression of proteins seen in the 50 mM NaCl treatment group was less pronounced in the groups receiving 100 or 150 mM NaCl for 24 h. The expression of SOD was a common response to cold, drought, salt and abscisic acid (ABA) stresses while the expression of LSY081, LSY363 and OEE2 was enhanced by salt and ABA stresses. LSY262 was expressed in leaf sheath and root, while fructose bisphosphate aldolases, PSII oxygen evolving complex protein and OEE2 were expressed in leaf sheath and leaf blade. LSY363 was expressed in leaf sheath but was below the level of detection in leaf blade and root. These results indicate that specific proteins expressed in specific regions of rice show a coordinated response to salt stress.     

A proteomic approach to analyze nitrogen- and cytokinin-responsive proteins in rice roots

Nitrogen plays a central role in rice growth and development because it modulates a wide variety of processes, including cytokinin (CK) metabolism. CK-mediated signaling is also related to nitrogen metabolism. The functional relation between nitrogen and CK are extremely complex and unclear. In this study, a comparative proteomic analysis was carried out to analyze proteins regulated by nitrogen and CK in rice roots. Proteins extracted from rice roots are separated by two-dimensional polyacrylamide gel electrophoresis. Thirty-two protein spots that expressed similarly by nitrogen and CK treatments are selected for identification by mass spectrometry. Of these spots, 28 are successfully identified. These proteins were categorized into classes related to energy, metabolism, disease/defense, protein degradation, signal transduction, transposons, and unclear classification. Energy gives the largest functional category, suggesting that the glycolysis (two enzymes detected) and tricarboxylic acid cycle (six enzymes detected) are accurately regulated by nitrogen and CK, thus promoting the synthesis of amino acid. The identification of novel proteins provides new insights into the coordination of nitrogen and CK in rice. The possible role of these proteins is discussed.     

A proteomic approach to characterize protein shedding

Shedding (i.e. proteolysis of ectodomains of membrane proteins) plays an important pathophysiological role. In order to study the feasibility of identifying shed proteins, we analyzed serum-free media of human mammary epithelial cells by mass spectrometry following induction of shedding by the phorbol ester, 4 beta-phorbol 12-myristate 13-acetate (PMA). Different means of sample preparation, including biotinylation of cell surface proteins, isolation of glycosylated proteins, and preparation of crude protein fractions, were carried out to develop the optimal method of sample processing. The collected proteins were digested with trypsin and analyzed by reversed-phase capillary liquid chromatography interfaced to an ion-trap mass spectrometer. The resulting peptide spectra were interpreted using the program SEQUEST. Analyzing the sample containing the crude protein mixture without chemical modification or separation resulted in the greatest number of identifications, including putatively shed proteins. Overall, 45 membrane-associated proteins were identified including 22 that contain at least one transmembrane domain and 23 that indirectly associate with the extracellular surface of the plasma membrane. Of the 22 transmembrane proteins, 18 were identified by extracellular peptides providing strong evidence they originate from regulated proteolysis or shedding processes. We combined results from the different experiments and used a peptide count method to estimate changes in protein abundance. Using this approach, we identified two proteins, syndecan-4 and hepatoma-derived growth factor, whose abundances increased in media of cells treated with PMA. We also detected proteins whose abundances decreased after PMA treatment such as 78 kDa glucose-regulated protein and lactate dehydrogenase A. Further analysis using immunoblotting validated the abundance changes for syndecan-4 and 78 kDa glucose-regulated protein as a result of PMA treatment. These results demonstrate that tandem mass spectrometry can be used to identify shed proteins and to estimate changes in protein abundance.     

New proteomic developments to analyze protein isomerization and their biological significance in plants

Spontaneous isoaspartyl formation from aspartyl dehydration or asparaginyl deamidation is a major source of modifications in protein structures. In cells, these conformational changes could be reverted by the protein L-isoaspartyl methyltransferase (PIMT) repair enzyme that converts the isoaspartyl residues into aspartyl. The physiological importance of this metabolism has been recently illustrated in plants. Recent developments allowing peptide isomer identification and quantification at the proteome scale are portrayed. The relevance of these new proteomic approaches based on 2-D electrophoresis or electron capture dissociation analysis methods was initially documented in mammals. Extended use to Arabidopsis model systems is promising for the discovery of controlling mechanisms induced by these particular post-translational modifications and their biological role in plants.     

A new computational approach to analyze human protein complexes and predict novel protein interactions

We propose a new approach to identify interacting proteins based on gene expression data. By using hypergeometric distribution and extensive Monte-Carlo simulations, we demonstrate that looking at synchronous expression peaks in a single time interval is a high sensitivity approach to detect co-regulation among interacting proteins. Combining gene expression and Gene Ontology similarity analyses enabled the extraction of novel interactions from microarray datasets. Applying this approach to p21-activated kinase 1, we validated α-tubulin and early endosome antigen 1 as its novel interactors.     

A proteomic approach to the identification and characterisation of protein composition in wheat germ

Proteome analyses were carried out on commercial wheat germ of mature grain from the biscuit-making wheat cultivar, Rosella. Wheat germ protein extracts were fractionated by two-dimensional gel electrophoresis across two different immobilised pH gradients: pH 4.0–7.0 and 6.0–9.0. A total of 612 individual protein spots were excised from the gels and characterised by peptide mass fingerprinting. From these analyses, 347 individual proteins were identified from protein sequence database interrogation, and 301 different types of protein were catalogued according to protein function. The remaining 265 protein spots gave poor or no matches to proteins in the databases and were not identified in this study. Six different classes of enzymes were identified in the germ, many of them having roles in the mobilisation of energy reserves for germination. Abundantly expressed enzyme classes include the oxidoreductases, transferases and hydrolases. A comparison was also made between the major protein classes expressed in the germ and protein classes expressed in the endosperm from previous proteomic work. This study contributes significantly to our knowledge of protein expression and heterogeneity in the germ of wheat grain and forms the basis for future studies in regard to the characterisation of proteins during the initial stages of germination.     

Solution thermodynamic approach to analyze protein stability in aqueous solutions

Protein thermal stability was analyzed by a solution thermodynamic approach. The small energetic differences in hydrogen-bonds (HB) among amino acid resdues and water molecules were proved to be amplified by the large number of HB involved to bring about the equilibrium shift from folding to unfolding of proteins. In aqueous solutions, water activity (A_w) plays a key role in protein stability. Therefore, A_w was precisely determined for various solutions and its relationship with solution structure was discussed. Wyman-Tanford analysis based on A_w showed linear regressions, without exception, between protein unfolding-ratio and A_w for lysozyme, ribonuclease A, and α-chymotrypsinogen A in various solutions with sugars, osmolytes, alcohols, and protein denaturant. From this linear regression, the free energy difference, ΔΔG, for a protein in a solution and in pure water, was easily obtained. Protein stability in a solution was proved to be determined by a balance between hydration and solute-binding effects to the protein and also by solution structure, which indirectly affects the hydrophobic interaction in a protein molecule. Temperature dependence of HB on protein stability suggested its interrelationship with hydrophobic interaction.     

A proteomic approach to neuropeptide function elucidation

Many of the diverse functions of neuropeptides are still elusive. As they are ideally suited to modulate traditional signaling, their added actions are not always detectable under standard laboratory conditions. The search for function assignment to peptide encoding genes can therefore greatly benefit from molecular information. Specific molecular changes resulting from neuropeptide signaling may direct researchers to yet unknown processes or conditions, for which studying these signaling systems may eventually lead to phenotypic confirmation. Here, we applied gel-based proteomics after pdf-1 neuropeptide gene knockout in the model organism Caenorhabditis elegans. It has previously been described that pdf-1 null mutants display a locomotion defect, being slower and making more turns and reversals than wild type worms. The vertebrate functional homolog of PDF-1, vasocative intestinal peptide (VIP), is known to influence a plethora of processes, which have so far not been investigated for pdf-1. Because proteins represent the actual effectors inside an organism, proteomic analysis can guide our view to novel pdf-1 actions in the nematode worm. Our data show that knocking out pdf-1 results in alteration of levels of proteins involved in fat metabolism, stress resistance and development. This indicates a possible conservation of VIP-like actions for pdf-1 in C. elegans.     

Glyphosate-induced oxidative stress in rice leaves revealed by proteomic approach

Glyphosate is one of the most widely used herbicides in cereal-growing regions worldwide. In the present work, the protein expression profile of rice leaves exposed to glyphosate was analyzed in order to investigate the alternative effects of glyphosate on plants. Two-week-old rice leaves were subjected to glyphosate or a reactive oxygen species (ROS) inducing herbicide paraquat, and total soluble proteins were extracted and analyzed by two-dimensional gel electrophoresis (2-DE) coupled with matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry (MS) analysis. A total of 25 differentially expressed proteins were identified from the glyphosate treated sample, wherein 18 proteins were up-regulated and 7 proteins were down-regulated. These proteins had shown a parallel expression pattern in response to paraquat. Results from the 2-DE analysis, combined with immunoblotting, clearly revealed that ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) large subunit was significantly decreased by the treatment of both herbicides. An increased accumulation of antioxidant enzymes including ascorbate peroxidase, glutathione S-transferase, thioredoxin h-type, nucleoside diphosphate kinase 1, peroxiredoxin and a superoxide dismutase [Cu–Zn] chloroplast precursor in the glyphosate-treated sample suggests that a glyphosate treatment possibly generates oxidative stress in plants. Moreover, a gene expression analysis of five antioxidant enzymes by Northern blot confirmed their mRNA levels in the rice leaves. A histo-cytochemical investigation with DAB (3,3-diaminobenzidine) to localize H₂O₂ and increases of the thiobarbituric acid reactive substances (TBARS) concentration revealed that the glyphosate application generates ROS, which resulted in the peroxidation and destruction of lipids in the rice leaves.     

A proteomic approach to study parathyroid glands

Parathyroid tumours are heterogeneous and in some cases the diagnosis may be difficult using histological features. In this study we used a two-dimensional electrophoresis (2D)/mass spectrometry (MS)-based approach to examine the global changes of parathyroid adenoma tissues protein profile compared to the parathyroid normal tissues. Validation of protein expression was performed by immunoblotting using specific antibodies. Ingenuity software was used to identify the biological processes to which these proteins belong and to construct a potential network. A total of 30 proteins were found to be differentially expressed, of which 22 resulted in being over-expressed. Proteins identified by 2D/MS/MS proteomics were classified into functional categories and a major change (≥ 2-fold) in terms of expression was found in proteins involved in response to biotic stimuli, cell organization and signal transduction. After Ingenuity analysis, 14-3-3 ζ/δ appears to be a key protein in the network of parathyroid adenoma, where it is linked to other proteins such as annexin A2, B box and SPRY domain-containing protein (BSPRY), p53 and epidermal growth factor receptor (EGFR). Our results suggest that the proteomic approach was able to differentiate the protein profiles of normal parathyroid and parathyroid adenoma and identify a panel of proteins which are differentially expressed. The functional role of these proteins in the network of intracellular pathways is discussed.     

A proteomic approach to obesity and type 2 diabetes

The incidence of obesity and type diabetes 2 has increased dramatically resulting in an increased interest in its biomedical relevance. However, the mechanisms that trigger the development of diabetes type 2 in obese patients remain largely unknown. Scientific, clinical and pharmaceutical communities are dedicating vast resources to unravel this issue by applying different omics tools. During the last decade, the advances in proteomic approaches and the Human Proteome Organization have opened and are opening a new door that may be helpful in the identification of patients at risk and to improve current therapies. Here, we briefly review some of the advances in our understanding of type 2 diabetes that have occurred through the application of proteomics. We also review, in detail, the current improvements in proteomic methodologies and new strategies that could be employed to further advance our understanding of this pathology. By applying these new proteomic advances, novel therapeutic and/or diagnostic protein targets will be discovered in the obesity/Type 2 diabetes area.     

A multidimensional proteomic approach to identify hypertrophy-associated proteins

Left ventricular hypertrophy (LVH) is a leading cause of congestive heart failure. The exact mechanisms that control cardiac growth and regulate the transition to failure are not fully understood, in part due to the lack of a complete inventory of proteins associated with LVH. We investigated the proteomic basis of LVH using the transverse aortic constriction model of pressure overload in mice coupled with a multidimensional approach to identify known and novel proteins that may be relevant to the development and maintenance of LVH. We identified 123 proteins that were differentially expressed during LVH, including LIM proteins, thioredoxin, myoglobin, fatty acid binding protein 3, the abnormal spindle-like microcephaly protein (ASPM), and cytoskeletal proteins such as actin and myosin. In addition, proteins with unknown functions were identified, providing new directions for future research in this area. We also discuss common pitfalls and strategies to overcome the limitations of current proteomic technologies. Together, the multidimensional approach provides insight into the proteomic changes that occur in the LV during hypertrophy.     

A proteomic approach to iron and copper homeostasis in cyanobacteria.

Cyanobacteria, which are considered to be the chloroplast precursors, are significant contributors to global photosynthetic productivity. The ample variety of membrane and soluble proteins containing different metals (mainly, iron and copper) has made these organisms develop a complex homeostasis with different mechanisms and tight regulation processes to fulfil their metal requirements in a changing environment. Cell metabolism is so adapted as to synthesize alternative proteins depending on the relative metal availabilities. In particular, plastocyanin, a copper protein, and cytochrome c(6), a haem protein, can replace each other to play the same physiological role as electron carriers in photosynthesis and respiration, with the synthesis of one protein or another being regulated by copper concentration in the medium. The unicellular cyanobacterium Synechocystis sp. PCC 6803 has been widely used as a model system because of completion of its genome sequence and the ease of its genetic manipulation, with a lot of proteomic work being done. In this review article, we focus on the functional characterization of knockout Synechocystis mutants for plastocyanin and cytochrome c(6), and discuss the ongoing proteomic analyses performed at varying copper concentrations to investigate the cyanobacterial metal homeostasis and cell response to changing environmental conditions.     

A universal thermodynamic approach to analyze biomolecular binding experiments

Binding processes of any kind can be characterized as an association of a given ligand with some binding factor. This includes macromolecules as well as supramolecular aggregates such as micelles or membranes. The underlying molecular binding mechanism may be more or less complicated due to various intermediate steps (involving for instance conformational changes, aggregation, cooperativity, etc.). A sensible discussion of possible binding models naturally calls for a model-independent access to basic thermodynamic properties. The present contribution will demonstrate how this can quite generally be accomplished by a pertinent processing of properly selected experimental data. The method requires a series of titration measurements comprising the use of variable amounts of both the ligand and the binding factor. It leads to a linear mass conservation plot (i.e. amount of the ligand vs. a matching amount of the binding factor) whose slope and ordinate intercept are equal to the binding ratio (i.e. bound ligand per binding factor) and the free ligand concentration, respectively. This establishes the specific binding isotherm. The approach also reveals latent structurally determined features of the applied physical measuring signal. A number of examples including specific binding, unspecific adsorption and insertion in two-dimensional molecular films will illustrate the methodology.