Functional characterization of two-dimensional gel-separated proteins using sequential staining

Quantitative proteomic strategies to study reproduction in farm animals: Female reproductive fluids

Reproductive fluids from the female reproductive tract are gaining attention for their potential to support and optimize reproductive processes, including gamete maturation and embryo culture in vitro. Quantitative proteomics is a powerful way to decipher the proteome of reproductive tract fluids and to identify biologically relevant proteins. The present review describes proteomic strategies for analysing female reproductive fluid proteins. In addition, it considers the strategies for the preparation of oviductal, uterine and follicular fluid samples. Finally, it highlights the main results of quantitative proteomic studies, providing insights into the biological processes related to reproductive biology in farm animals. SIGNIFICANCE: Assisted reproductive technologies (ARTs) have become vitally important for farm animal breeding and much effort is going into the optimization and refinement of the techniques. There are also attempts to imitate physiological conditions by adding reproductive fluids or individual fluid proteins to improve in vitro procedures. A detailed knowledge of the reproductive fluid proteomes is indispensable. The present review summarizes the most widely used quantitative proteomic approaches for the analysis of fluids from the female reproductive tract and highlights the potential of quantitative proteomics to delineate reproductive processes and identify candidate proteins for ARTs in farm animals.

Characterization of Contractile Proteins from Skeletal Muscle Using Gel-Based Top-Down Proteomics

The mass spectrometric analysis of skeletal muscle proteins has used both peptide-centric and protein-focused approaches. The term 'top-down proteomics' is often used in relation to studying purified proteoforms and their post-translational modifications. Two-dimensional gel electrophoresis, in combination with peptide generation for the identification and characterization of intact proteoforms being present in two-dimensional spots, plays a critical role in specific applications of top-down proteomics. A decisive bioanalytical advantage of gel-based and top-down approaches is the initial bioanalytical focus on intact proteins, which usually enables the swift identification and detailed characterisation of specific proteoforms. In this review, we describe the usage of two-dimensional gel electrophoretic top-down proteomics and related approaches for the systematic analysis of key components of the contractile apparatus, with a special focus on myosin heavy and light chains and their associated regulatory proteins. The detailed biochemical analysis of proteins belonging to the thick and thin skeletal muscle filaments has decisively improved our biochemical understanding of structure-function relationships within the contractile apparatus. Gel-based and top-down proteomics has clearly established a variety of slow and fast isoforms of myosin, troponin and tropomyosin as excellent markers of fibre type specification and dynamic muscle transition processes.

Subtractive Protein Profiling of Salmonella typhimurium Biofilm Treated with DMSO

Salmonella typhimurium is an important biofilm-forming bacteria. It is known to be resistant to a wide range of antimicrobials. The present study was carried out to evaluate the effects of dimethyl sulfoxide (DMSO) against S. typhimurium biofilm and investigate whole-cell protein expression by biofilm cells following treatment with DMSO. Antibiofilm activities were assessed using pellicle assay, crystal violet assay, colony-forming unit counting and extracellular polymeric substance (EPS) matrix assay whilst differential protein expression was investigated using a combination of one dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis, tandem mass spectrometry and bioinformatics. Treatment with 32% DMSO inhibited pellicle formation, biofilm viability, biofilm biomass and several important components of EPS matrix. Subtractive protein profiling identified two unique protein bands (25.4 and 51.2 kDa) which were present only in control biofilm and not in 32% DMSO-treated biofilm. In turn, 29 and 46 proteins were successfully identified from the protein bands of 25.4 and 51.2 kDa respectively. Protein interaction network analysis identified several biological pathways to be affected, including glycolysis, PhoP-PhoQ phosphorelay signalling and flagellar biosynthesis. The present study suggests that DMSO may inhibit multiple biological pathways to control biofilm formation.

Type 1 diabetes: entering the proteomic era

During the last decade, a major breakthrough in the field of proteomics has been achieved. This review describes available techniques for proteomic analyses, both gel and non-gel based, particularly concentrating on relative quantification techniques. The principle of the different techniques is discussed, highlighting the advantages and drawbacks of recently available visualization methods in gel-based assays. In addition, recent developments for quantitative analysis in non-gel-based approaches are summarized. This review focuses on applications in Type 1 diabetes. These mainly include proteomic studies on pancreatic islets in animal models and in the human situation. Also discussed are mass spectrometry-based studies on T-cells, and studies on the development of diagnostic markers for diabetic nephropathology by capillary electrophoresis coupled to mass spectrometry.

Multiplexed Detection of O-GlcNAcome, Phosphoproteome, and Whole Proteome within the Same Gel

The cellular diversity of proteins results in part from their post-translational modifications. Among all of them, the O-GlcNAcylation is an atypical glycosylation, more similar to phosphorylation than classical glycosylations. Highly dynamic, reversible, and exclusively localized on cytosolic, nuclear, and mitochondrial proteins, O-GlcNAcylation is known to regulate almost all if not all cellular processes. Fundamental for the cell life, O-GlcNAcylation abnormalities are involved in the etiology of several inherited diseases. Assessing to O-GlcNAcylation pattern will permit to get relevant data about the role of O-GlcNAcylation in cell physiology. To get understanding about the role of O-GlcNAcylation, as also considering its interplay with phosphorylation, the O-GlcNAc profiling remains a real challenge for the community of proteomists/glycoproteomists. The development of multiplexed proteomics based on fluorescent detection of proteins permits to go further in the understanding of the proteome complexity. We propose herein a multiplexed proteomic strategy to detect O-GlcNAcylated proteins, phosphoproteins, and the whole proteome within the same bidimensional gel. In particular, we investigated the phosphoproteome through the ProQ Diamond staining, while the whole proteome was visualized through Sypro Ruby staining, or after the labeling of proteins with a T-Dye fluorophore. The O-GlcNAcome was revealed by the way of the Click chemistry and the azide-alkyne cycloaddition of a fluorophore on GlcNAc moieties. This method permits, after sequential image acquisition, the direct in-gel detection of O-GlcNAcome, phosphoproteome, and whole proteome.

Comparative gel-based phosphoproteomics in response to signaling molecules

The gel-based proteomics approach is a valuable technique for studying the characteristics of proteins. This technique has diverse applications ranging from analysis of a single protein to the study of the total cellular proteins. Further, protein quality and to some extent distribution can be first assessed by means of one-dimensional gel electrophoresis and then more informatively, for comparative analysis, using the two-dimensional gel electrophoresis technique. Here, we describe how to take advantage of the availability of fluorescent dyes to stain for a selective class of proteins on the same gel for the detection of both phospho- and total proteomes. This enables the co-detection of phosphoproteins as well as total proteins from the same gel and is accomplished by utilizing two different fluorescent stains, the ProQ-Diamond, which stains only phosphorylated proteins, and Sypro Ruby, which stains the entire subset of proteins. This workflow can be applied to gain insights into the regulatory mechanisms induced by signaling molecules such as cyclic nucleotides through the quantification and subsequent identification of responsive phospho- and total proteins.

A proteomics view of the molecular mechanisms and biomarkers of glaucomatous neurodegeneration

Despite improving understanding of glaucoma, key molecular players of neurodegeneration that can be targeted for treatment of glaucoma, or molecular biomarkers that can be useful for clinical testing, remain unclear. Proteomics technology offers a powerful toolbox to accomplish these important goals of the glaucoma research and is increasingly being applied to identify molecular mechanisms and biomarkers of glaucoma. Recent studies of glaucoma using proteomics analysis techniques have resulted in the lists of differentially expressed proteins in human glaucoma and animal models. The global analysis of protein expression in glaucoma has been followed by cell-specific proteome analysis of retinal ganglion cells and astrocytes. The proteomics data have also guided targeted studies to identify post-translational modifications and protein-protein interactions during glaucomatous neurodegeneration. In addition, recent applications of proteomics have provided a number of potential biomarker candidates. Proteomics technology holds great promise to move glaucoma research forward toward new treatment strategies and biomarker discovery. By reviewing the major proteomics approaches and their applications in the field of glaucoma, this article highlights the power of proteomics in translational and clinical research related to glaucoma and also provides a framework for future research to functionally test the importance of specific molecular pathways and validate candidate biomarkers.

Molecular phenotyping of immune cells from young NOD mice reveals abnormal metabolic pathways in the early induction phase of autoimmune diabetes

Islet leukocytic infiltration (insulitis) is first obvious at around 4 weeks of age in the NOD mouse – a model for human type 1 diabetes (T1D). The molecular events that lead to insulitis and initiate autoimmune diabetes are poorly understood. Since TID is caused by numerous genes, we hypothesized that multiple molecular pathways are altered and interact to initiate this disease. We evaluated the molecular phenotype (mRNA and protein expression) and molecular networks of ex vivo unfractionated spleen leukocytes from 2 and 4 week-old NOD mice in comparison to two control strains. Analysis of the global gene expression profiles and hierarchical clustering revealed that the majority (∼90%) of the differentially expressed genes in NOD mice were repressed. Furthermore, analysis using a modern suite of multiple bioinformatics approaches identified abnormal molecular pathways that can be divided broadly into 2 categories: metabolic pathways, which were predominant at 2 weeks, and immune response pathways, which were predominant at 4 weeks. Network analysis by Ingenuity pathway analysis identified key genes/molecules that may play a role in regulating these pathways. These included five that were common to both ages (TNF, HNF4A, IL15, Progesterone, and YWHAZ), and others that were unique to 2 weeks (e.g. MYC/MYCN, TGFB1, and IL2) and to 4 weeks (e.g. IFNG, beta-estradiol, p53, NFKB, AKT, PRKCA, IL12, and HLA-C). Based on the literature, genes that may play a role in regulating metabolic pathways at 2 weeks include Myc and HNF4A, and at 4 weeks, beta-estradiol, p53, Akt, HNF4A and AR. Our data suggest that abnormalities in regulation of metabolic pathways in the immune cells of young NOD mice lead to abnormalities in the immune response pathways and as such may play a role in the initiation of autoimmune diabetes. Thus, targeting metabolism may provide novel approaches to preventing and/or treating autoimmune diabetes.

Proteomics to study the diversity and dynamics of proteasome complexes: from fundamentals to the clinic

This article covers the latest contributions of proteomics to the structural and functional characterization of proteasomes and their associated proteins, but also to the detection of proteasomes as clinical biomarkers in diseases. Proteasomes are highly heterogenous supramolecular complexes and constitute important cellular proteases controlling the pool of proteins involved in key cellular functions. The comprehension of the structure/function relationship of proteasomes is therefore of major interest in biology. Numerous biochemical methods have been employed to purify proteasomes, and have led to the identification of complexes of various compositions - depending on the experimental conditions and the type of strategy used. In association with protein separation and enrichment techniques, modern mass spectrometry instruments and mass spectrometry-based quantitative methods, they have led to unprecedented breakthroughs in the in-depth analysis of the diversity and dynamics of proteasome composition and localization under various stimuli or pathological contexts. Proteasome inhibitors are now used in clinics for the treatment of cancer, and recent studies propose that the proteasome should be considered as a predictive biomarker for various pathologies.

Response of larval barnacle proteome to CO(2)-driven seawater acidification

The majority of benthic marine invertebrates have a complex life cycle, during which the pelagic larvae select a suitable substrate, attach to it, and then metamorphose into benthic adults. Anthropogenic ocean acidification (OA) is postulated to affect larval metamorphic success through an altered protein expression pattern (proteome structure) and post-translational modifications. To test this hypothesis, larvae of an economically and ecologically important barnacle species Balanus amphitrite, were cultured from nauplius to the cyprid stage in the present (control) and in the projected elevated concentrations of CO(2) for the year 2100 (the OA treatment). Cyprid response to OA was analyzed at the total proteome level as well as two protein post-translational modification (phosphorylation and glycosylation) levels using a 2-DE based proteomic approach. The cyprid proteome showed OA-driven changes. Proteins that were differentially up or down regulated by OA come from three major groups, namely those related to energy-metabolism, respiration, and molecular chaperones, illustrating a potential strategy that the barnacle larvae may employ to tolerate OA stress. The differentially expressed proteins were tentatively identified as OA-responsive, effectively creating unique protein expression signatures for OA scenario of 2100. This study showed the promise of using a sentinel and non-model species to examine the impact of OA at the proteome level.

Protein expression and fucosylated glycans of the serum haptoglobin-{beta} subunit in hepatitis B virus-based liver diseases

Glycosylation, which regulates the configuration and function of glycoproteins, is the most important post-translational modification. The aim of this study was to observe the differential patterns in glycan and protein parts of the serum haptoglobin-β subunit (Hp-β) purified from patients with hepatitis B virus (HBV) infection, liver cirrhosis (LC), or hepatocellular carcinoma (HCC). 2-D gel electrophoresis and multiplexed proteomics staining technique were employed to investigate whether the Hp-β glycan level was proportional to the protein level. Multi-lectin blot, high-performance liquid chromatography (HPLC), and western blot analysis were carried out to identify the glycoform of Hp-β quantitatively. Our experiments showed that the ratio of total serum Hp-β to the glycosylated form of Hp-β varied among the patients with different liver diseases. The total Hp-β protein expression level was much higher in HCC than LC, while an incremental proportion of fucosylated Hp-β was also observed in LC and HCC patients compared with that in HBV and healthy controls. Differential fucosylation was further identified as a Lewis X structure by HPLC and anti-human Sialyl-Lewis X antibody. In conclusion, the aberrant alternation of Hp-β glycan and total protein expression may be a promising biomarker for early hepatocarcinogenesis.

DSA affinity glycoproteome of human liver tissue

Due to the critical roles of glycoproteins in the activities of cells to tissues, mapping of liver glycoproteome may provide valuable basic information for finding disease marker proteins. In this study, Datura Stramonium Agglutinin (DSA) was chosen to enrich N-linked glycoproteins for its broader specificity with tri- or tetra-antennary complex type. DSA affinity glycoproteins' profiles of human liver tissue were generated by two-dimensional electrophoresis (2-DE) followed by glycoprotein staining based on multiplexed proteomics (MP) technology. 64+/-3 (n=3) protein spots were detected and 41 of glycoproteins were identified via peptide mass fingerprinting (PMF) using MALDI-TOF-MS/MS and annotated to IPI databases. Identified glycoproteins definitely take part in the regulation of cell cycle and metabolic processes. The detailed carbohydrate moiety of some glycoproteins might be concluded according to the literatures. The construction of DSA affinity glycoprotein database would contribute to the subsequent research.

Proteomic profiling of phosphoproteins and glycoproteins responsive to wild-type alpha-synuclein accumulation and aggregation

A tetracycline inducible transfectant cell line (3D5) capable of producing soluble and sarkosyl-insoluble assemblies of wild-type human alpha-synuclein (alpha-Syn) upon differentiation with retinoic acid was used to study the impact of alpha-Syn accumulation on protein phosphorylation and glycosylation. Soluble proteins from 3D5 cells, with or without the induced alpha-Syn expression were analyzed by two-dimensional gel electrophoresis and staining of gels with dyes that bind to proteins (Sypro ruby), phosphoproteins (Pro-Q diamond) and glycoproteins (Pro-Q emerald). Phosphoproteins were further confirmed by binding to immobilized metal ion affinity column. alpha-Syn accumulation caused differential phosphorylation and glycosylation of 16 and 12, proteins, respectively, whose identity was revealed by mass spectrometry. These proteins, including HSP90, have diverse biological functions including protein folding, signal transduction, protein degradation and cytoskeletal regulation. Importantly, cells accumulating alpha-Syn assemblies with different abilities to bind thioflavin S displayed different changes in phosphorylation and glycosylation. Consistent with the cell-based studies, we demonstrated a reduced level of phosphorylated HSP90 alpha/beta in the substantia nigra of subjects with Parkinson's disease as compared to normal controls. Together, the results indicate that alpha-Syn accumulation causes complex cellular responses, which if persist may compromise cell viability.

Approaches to reduce false positives and false negatives in the analysis of microarray data: applications in type 1 diabetes research

Background

As studies of molecular biology system attempt to achieve a comprehensive understanding of a particular system, Type 1 errors may be a significant problem. However, few investigators are inclined to accept the increase in Type 2 errors (false positives) that may result when less stringent statistical cut-off values are used. To address this dilemma, we developed an analysis strategy that used a stringent statistical analysis to create a list of differentially expressed genes that served as "bait" to "fish out" other genes with similar patterns of expression.

Results

Comparing two strains of mice (NOD and C57Bl/6), we identified 93 genes with statistically significant differences in their patterns of expression. Hierarchical clustering identified an additional 39 genes with similar patterns of expression differences between the two strains. Pathway analysis was then employed: 1) identify the central genes and define biological processes that may be regulated by the genes identified, and 2) identify genes on the lists that could not be connected to each other in pathways (potential false positives). For networks created by both gene lists, the most connected (central) genes were interferon gamma (IFN-γ) and tumor necrosis factor alpha (TNF-α). These two cytokines are relevant to the biological differences between the two strains of mice. Furthermore, the network created by the list of 39 genes also suggested other biological differences between the strains.

Conclusion

Taken together, these data demonstrate how stringent statistical analysis, combined with hierarchical clustering and pathway analysis may offer deeper insight into the biological processes reflected from a set of expression array data. This approach allows us to 'recapture" false negative genes that otherwise would have been missed by the statistical analysis.

Application of proteomic technology in eye research: a mini review

Proteomics is a rapidly growing research area for the study of the protein cognate of genomic data. This review gives a brief overview of the modern proteomic technology. In addition to general applications of proteomics, we highlight its contribution to studying the physiology of different ocular tissues. We also summarise the published proteomic literature in the broad context of ophthalmic diseases, such as cataract, age-related maculopathy, diabetic retinopathy, glaucoma and myopia. The proteomic technology is a useful research tool and it will continue to advance our understanding of a variety of molecular processes in ocular tissues and diseases.

Evaluation of the SELDI-TOF MS technique for protein profiling of pancreatic islets exposed to glucose and oleate

The aim of the study was to evaluate the SELDI-TOF MS technique for pancreatic islet research. Mouse islets were cultured at low or high glucose levels in the absence or presence of oleate and characterized by measuring insulin secretion and oxygen tension. Subsequently, the islets were protein profiled. Up to 200 different peaks could be detected in a single experiment with the majority of peaks corresponding to proteins with masses below 30 kDa. By combining different protein arrays, the number of detected peaks could be increased further. The optimal binding of islet proteins was achieved using the anionic exchange array and phosphate buffer (pH 6) when the binding of insulin was low, which allowed other less abundant proteins to be captured. When islets from different culture conditions were profiled and analyzed, in total 25 proteins were found to be oleate/glucose-regulated. An oleate-regulated protein was chosen for identification work, which was conducted by passive elution from SDS-PAGE gels and subsequent in-gel trypsin digestion and MALDI-TOF MS. The protein was identified as peptidyl-prolyl isomerase B (PPI-B). In conclusion, the study demonstrates that SELDI-technique can be used not only to obtain islet protein patterns but is also helpful in the subsequent identification of differentially expressed proteins.

Breast cancer proteomics: clinical perspectives

Breast cancer is the one of leading causes of cancer-related deaths in women within economically developed regions of the world. A major focus of present research into this malignancy is the identification of new biomarkers and drug targets to improve detection and treatment. Proteomics represents one of the latest technological developments in this context. It aims to analyse the complex circuitry of the breast cancer proteome. Here, the authors review how breast cancer proteomics has progressed so far, with emphasis on its potential application to clinically relevant scenarios.

Protein profiling of pancreatic islets

The insulin-producing beta cell in the islet of Langerhans is central in glucose homeostasis. Its dysfunction is part of the pathogenesis of both Type 1 and 2 diabetes mellitus. In both forms of the disease, there is a cytotoxic component either induced by cytokines, as in Type 1 diabetes, or by elevated levels of glucose and fatty acids, as in Type 2 diabetes. To find the mechanisms responsible for the cytotoxic effects of these compounds proteomic approaches with 2D gel electrophoresis and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry have been undertaken. In this article, we describe these methods, and other methodological aspects of protein profiling of pancreatic islets, and summarize the results obtained with these methods.

A glycoproteome database of normal human liver tissue

PURPOSE

To extensively investigate the glycoproteins of normal human liver tissue, constructing the glycoprotein profile and database of the normal human liver tissue.

METHODS

The total proteins were extracted from the normal human liver tissue and then subjected to two-dimensional electrophoresis (2-DE). Finally, 2-DE gels were stained according to the methods of multiplexed proteomics (MP) technology. Glycoprotein spots were excised from 2-DE gel and then characterized by matrix assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS).

RESULTS

The PDQuest software detected 1,011 glycoprotein spots and 1,923 total protein spots in the 2-DE gels of sample from the normal human liver tissue. Furthermore, 116 species of glycoproteins were successfully identified via peptide mass profiling using MALDI-TOF-MS/MS and annotated to our databases. In addition, we also applied bioinformatics softwares to predict N- or O-glycosylation sites of identified glycoproteins.

CONCLUSION

This study demonstrates the feasibility of a novel technological platform to contruct glycoprotein databases. These results lay the foundation for future physiological and pathological studies of the human liver.

Identification and analysis of altered alpha1,6-fucosylated glycoproteins associated with hepatocellular carcinoma metastasis

Tumor metastasis might be associated with the expression levels of cellular glycoproteins and the alteration of their glycan parts. In order to screen the aberrantly alpha1,6-fucosylated glycoproteins related to hepatocellular carcinoma (HCC) metastasis, a high-throughput glycomic approach which consisted of 2-DE, electronic transfer of proteins, lectin affinity blot and precipitation, and MALDI-TOF-MS/MS, was established. Lens culinaris agglutinin (LCA) affinity glycoprotein profiles of higher and lower metastatic HCC cell lines were compared and analyzed. Seven out of 34 identified glycoproteins were differentially displayed; they were cytokeratin 8 (CK8), annexin I, annexin II, heterogeneous nuclear ribonucleoprotein A/B, PDZ and LIM domain 1, RNA-binding motif protein 4, and poly(rC)-binding protein 1. On comparison with Hep3B, CK8 showed a higher affinity to Ricinus communis agglutinin 1 (RCA-I) and LCA, and annexin I presented a higher affinity to LCA and Con A by the lectin-binding assay. Furthermore, the up-regulation of CK8, annexin I, and annexin II were found by Western blot and immunofluorescence analysis in higher metastatic HCC cell lines. This implied that the alteration of CK8, annexin I, and annexin II both in their expression levels and their glycan parts might be related to metastatic ability, and play a critical role in the process of HCC metastasis.

Effect of staining reagent on peptide mass fingerprinting from in-gel trypsin digestions: a comparison of SyproRuby and DeepPurple

As the new fluorescent stains such as SyproRuby and DeepPurple are getting widespread recognition for proteome analyses by the traditional 2-D gel method, it becomes important to test the feasibility of these stains with respect to staining reproducibility, protein quantitation, and compatibility of the stain with downstream MS. The binding of epicocconone, active ingredient of DeepPurple, to one of the primary cleavage sites of trypsin (lysine residue) raises the possibility of incomplete cleavage and interference with PMF. However, the current study tests and concludes that the DeepPurple stain can result in increased peptide recovery compared to SyproRuby stain and can improve MS-based identification of lower intensity proteins spots.

Molecular Analysis of Maturation Processes by Protein and Phosphoprotein Profiling during In Vitro Maturation of Bovine Oocytes: A Proteomic Approach

Cellular maturation and differentiation processes are accompanied by the expression of specific proteins. Especially in oocytes, there is no reliable strict linear correlation between mRNA levels and the abundance of proteins. Furthermore, the activity of proteins is modulated by specific kinases and phosphatases which control cellular processes like cellular growth, differentiation, cell cycle and meiosis. During the meiotic maturation of oocytes, the activation of protein kinases, namely of the MPF and MAPK play a predominant role. Therefore, the present study was performed to analyze meiotic maturation at a molecular level, concerning alterations of the proteom and phosphoproteom during IVM. Using a proteomic approach by combining two-dimensional gel electrophoresis followed by selective protein and phosphoprotein staining and mass spectrometry, we identified proteins which were differentially expressed and/or phosphorylated during IVM. Furthermore, we used the MPF inhibitor butyrolactone I, to reveal new molecular effects which are potentially essential for successful maturation. The results show that approximately 550 protein spots could be visualized by the fluorescent dye Sypro ruby at any maturation stage (GV, M I, M II) investigated. From GV stage to M II, ProQ diamond staining indicate in GV 30%, in M I 50%, and in M II 45% of the spots were phosphorylated. The Identity of 40 spots could be established. These proteins belong to different families, for example, cytoskeleton, molecular chaperons, redox, energy and metabolism related proteins, nucleic acid binding proteins, cell cycle regulators, and protein kinases. Four of them were differentially expressed (alteration higher than factor 2) during IVM, namely tubulin beta-chain, cyclin E(2), protein disulfide isomerase and one of two different forms of peroxiredoxin 2. Seven proteins were differentially stained by ProQ diamond, indicating a differential phosphorylation. These are tubulin beta-chain, beta-actin, cyclin E(2), aldose reductase and UMP-synthase, protein disulfide isomerase 2, and peroxiredoxin 2. Furthermore, the results indicate that the phosphorylation of at least peroxiredoxin 2 respond to BL I treatment. This indicates that its phosphorylation is under the control of MPF or MAPK. In summary these results indicates that the reduction of cyclin Eexpression and the (partially) inactivation of peroxiredoxin 2 by phosphorylation, hence alterations in the peroxide levels which can mediate signal transduction are essential components for successful maturation.

Enhanced detectability in proteome studies

The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.

Proteomics identification of differentially expressed proteins associated with pollen germination and tube growth reveals characteristics of germinated Oryza sativa pollen

Mature pollen from most plant species is metabolically quiescent; however, after pollination, it germinates quickly and gives rise to a pollen tube to transport sperms into the embryo sac. Because methods for collecting a large amount of in vitro germinated pollen grains for transcriptomics and proteomics studies from model plants of Arabidopsis and rice are not available, molecular information about the germination developmental process is lacking. Here we describe a method for obtaining a large quantity of in vitro germinating rice pollen for proteomics study. Two-dimensional electrophoresis of approximately 2300 protein spots revealed 186 that were differentially expressed in mature and germinated pollen. Most showed a changed level of expression, and only 66 appeared to be specific to developmental stages. Furthermore 160 differentially expressed protein spots were identified on mass spectrometry to match 120 diverse protein species. These proteins involve different cellular and metabolic processes with obvious functional skew toward wall metabolism, protein synthesis and degradation, cytoskeleton dynamics, and carbohydrate/energy metabolism. Wall metabolism-related proteins are prominently featured in the differentially expressed proteins and the pollen proteome as compared with rice sporophytic proteomes. Our study also revealed multiple isoforms and differential expression patterns between isoforms of a protein. These results provide novel insights into pollen function specialization.

Investigation on glycosylation patterns of proteins from human liver cancer cell lines based on the multiplexed proteomics technology

Glycosylation, a very important post-translational modification of proteins, is increasingly coming into notice. However, large-scale, throughput investigations on glycosylated proteins are few. We applied a sensitive and fast fluorescence-based multiplexed proteomics (MP) technology which included two-dimensional gel electrophoresis (2-DE) followed by the fluorescence staining of glycoprotein and mass spectrometry identification for the purpose of constructing glycoprotein databases of the typical human hepatocellular carcinoma cell lines including Hep3B cell line without metastasis and MHCC97H with highly metastatic potential as well as the control non-tumor Chang liver cell. 74+/-2 (n=3), 78+/-3 (n=3) and 72+/-5 (n=3) glycoprotein spots were detected on 2-DE gels from Chang liver, Hep3B and MHCC97H cell sample using this MP technique, respectively. In all, 80 glycoproteins from three cell lines were successfully identified via peptide mass profiling using MALDI-TOF-MS/MS and the identified glycoproteins were annotated to our databases. In addition, we also found the glycosylation pattern differences among these three cell lines. The protein glycosylation alteration would be have great significance for the diagnosis of HCC and prediction of its metastasis. This study described the construction of glycosylation patterns of proteins and glycoproteome databases of human liver cells by the novel technological platform. The glycoproteome databases also provide essential basis for following study.

Proteomic Analysis of Rat Liver Phosphoproteins after Treatment with Protein Kinase Inhibitor H89 (N-(2-[p-Bromocinnamylamino-]ethyl)-5-isoquinolinesulfonamide)

Therapeutic strategies focused on kinase inhibition rely heavily on surrogate measures of kinase inhibition obtained from in vitro assay systems. There is a need to develop methodology that will facilitate measurement of kinase inhibitor activity or specificity in tissue samples from whole animals treated with these compounds. Many of the current methods are limited by the use of antibodies, many of which do not cross-react between several species. The proteomics approach described herein has the potential to reveal novel tissue substrates, potential new pathway interconnections, and inhibitor specificity by monitoring differences in protein phosphorylation. We used the protein kinase inhibitor H89 (N-(2-[p-bromocinnamylamino]-ethyl)-5-isoquinolinesulfonamide) as a tool to determine whether differential profiling of tissue phosphoproteins can be used to detect treatment-related effects of a protein kinase A (PKA) inhibitor in vivo. With a combination of phosphoprotein column enrichment, high-throughput two-dimensional gel electrophoresis, differential gel staining with Pro-Q Diamond/SYPRO Ruby, statistical analysis, and matrix-assisted laser desorption ionization/time of flight mass spectrometry analysis, we were able to show clear differences between the phosphoprotein profiles of rat liver protein extract from control and treated animals. Moreover, several proteins that show a potential change in phosphorylation were previously identified as PKA substrates or have putative PKA phosphorylation sites. The data presented support the use of differential proteomic methods to measure effects of kinase inhibitor treatment on protein phosphorylation in vivo.

Insulin Dynamically Regulates Calmodulin Gene Expression by Sequential O-Glycosylation and Phosphorylation of Sp1 and Its Subcellular Compartmentalization in Liver Cells

O-glycosylation and phosphorylation of Sp1 are thought to modulate the expression of a number of genes in normal and diabetic state. Sp1 is an obligatory transcription factor for constitutive and insulin-responsive expression of the calmodulin gene (Majumdar, G., Harmon, A., Candelaria, R., Martinez-Hernandez, A., Raghow, R., and Solomon, S. S. (2003) Am. J. Physiol. 285, E584-E591). Here we report the temporal dynamics of accumulation of total, O-GlcNAc-modified, and phosphorylated Sp1 in H-411E hepatoma cells by immunohistochemistry with monospecific antibodies, confocal microscopy, and matrix-assisted laser desorption and ionization-time of flight mass spectrometry. Insulin elicited sequential and reciprocal post-translational modifications of Sp1. The O-glycosylation of Sp1 and its nuclear accumulation induced by insulin peaked early (approximately 30 min), followed by a steady decline of O-GlcNAc-modified Sp1 to negligible levels by 240 min. The accumulation of phosphorylated Sp1 in the nuclei of insulin-treated cells showed an opposite pattern, increasing steadily until reaching a maximum around 240 min after treatment. Analyses of the total, O-GlcNAc-modified, or phosphorylated Sp1 by Western blot and mass spectrometry corroborated the sequential and reciprocal control of post-translational modifications of Sp1 in response to insulin. Treatment of cells with streptozotocin (a potent inhibitor of O-GlcNAcase) led to hyperglycosylation of Sp1 that failed to be significantly phosphorylated. The mass spectrometry data indicated that a number of common serine residues of Sp1 undergo time-dependent, reciprocal O-glycosylation and phosphorylation, paralleling its rapid translocation from cytoplasm to the nucleus. Later, changes in the steady state levels of phosphorylated Sp1 mimicked the enhanced steady state levels of calmodulin mRNA seen after insulin treatment. Thus, O-glycosylation of Sp1 appears to be critical for its localization into the nucleus, where it undergoes obligatory phosphorylation that is needed for Sp1 to activate calmodulin gene expression.

New Data Analysis and Mining Approaches Identify Unique Proteome and Transcriptome Markers of Susceptibility to Autoimmune Diabetes

Non-obese diabetic (NOD) mice spontaneously develop autoimmunity to the insulin producing beta cells leading to insulin-dependent diabetes. In this study we developed and used new data analysis and mining approaches on combined proteome and transcriptome (molecular phenotype) data to define pathways affected by abnormalities in peripheral leukocytes of young NOD female mice. Cells were collected before mice show signs of autoimmunity (age, 2-4 weeks). We extracted both protein and RNA from NOD and C57BL/6 control mice to conduct both proteome analysis by two-dimensional gel electrophoresis and transcriptome analysis on Affymetrix expression arrays. We developed a new approach to analyze the two-dimensional gel proteome data that included two-way analysis of variance, cluster analysis, and principal component analysis. Lists of differentially expressed proteins and transcripts were subjected to pathway analysis using a commercial service. From the list of 24 proteins differentially expressed between strains we identified two highly significant and interconnected networks centered around oncogenes (Myc and Mycn) and apoptosis-related genes (Bcl2 and Casp3). The 273 genes with significant strain differences in RNA expression levels created six interconnected networks with a significant over-representation of genes related to cancer, cell cycle, and cell death. They contained many of the same genes found in the proteome networks (including Myc and Mycn). The combination of the eight, highly significant networks created one large network of 272 genes of which 82 had differential expression between strains either at the protein or the RNA level. We conclude that new proteome data analysis strategies and combined information from proteome and transcriptome can enhance the insights gained from either type of data alone. The overall systems biology of prediabetic NOD mice points toward abnormalities in regulation of the opposing processes of cell renewal and cell death even before there are any clear signatures of immune system activation.

Methods for proteomics in neuroscience

Proteomics reveals complex protein expression, function, interactions and localization in different phenotypes of neuron. As proteomics, regarded as a highly complex screening technology, moves from a theoretical approach to practical reality, neuroscientists have to determine the most-appropriate applications for this technology. Even though proteomics compliments genomics, it is in sheer contrast to the basically constant genome due to its dynamic nature. Neuroscientists have to surmount difficulties particular to the research in neuroscience; such as limited sample amounts, heterogeneous cellular compositions in samples and the fact that many proteins of interest are hydrophobic proteins. The necessity of exclusive technology, sophisticated software and skilled manpower tops the challenge. This review examines subcellular organelle isolation, protein fractionation and separation using two-dimensional gel electrophoresis (2-DGE) as well as multi-dimensional liquid chromatography (LC) followed by mass spectrometry (MS). The methods for quantifying relative gene product expression between samples (e.g., two-dimensional difference in gel electrophoresis (2D-DIGE), isotope-coded affinity tag (ICAT) and iTRAQ) are elaborated. An overview of the techniques used currently to assign post-translational modification status on a proteomics scale is also evaluated. The feasible coverage of the proteome, ability to detect unique cell components such as post-synaptic densities and membrane proteins, resource requirements and quantitative as well as qualitative reliability of different approaches is also discussed. While there are many challenges in neuroproteomics, this field promises many returns in the future.

The role of proteomics in the assessment of premature rupture of fetal membranes

The presence and integrity of amniotic fluid is fundamental for the normal development of the human fetus during pregnancy. Its production rate changes throughout pregnancy and is mainly related to the functions of the different fetal, placental and amniotic compartments. Premature rupture of the membranes (PROM) occurs in about 5% of deliveries, with complications such as infection and preterm birth. The management of patients with PROM, regardless of gestational age, remains controversial, and it is therefore important to develop new biological tests in order to achieve accurate diagnoses by identifying the presence of specific amniotic fluid markers in vaginal environment. We recently showed the usefulness of amniotic fluid proteomics in identifying a series of peptides that were absent from the corresponding maternal plasma. Several peptides corresponded to fragments of plasma proteins. Two peptides, absent from plasma samples of pregnant women, were identified in amniotic fluid. They corresponded to the COOH-terminal parts of perlecan (SwissProt: P98160) and of agrin (SwissProt: O00468) protein cores, two major heparan sulfate proteoglycans of basement membranes. In this review we will discuss modern proteomic strategies that may improve the laboratory assessment of PROM, and will focus on some of the biochemical characteristics of agrin and perlecan fragments identified in amniotic fluid.

Proteome of H-411E (liver) cells exposed to insulin and tumor necrosis factor-alpha: analysis of proteins involved in insulin resistance

Insulin resistance may be modeled in H-411E liver cells in tissue culture with the use of the cytokine tumor necrosis factor-alpha (TNF-alpha) and insulin. This tissue-culture model nicely mimics IR in human type 2 diabetes mellitus. After incubation of liver cells in tissue culture with INS alone, TNF-alpha alone, and TNF-alpha plus insulin, as well as a control sample, liver-cell extracts were separated on 2D polyacrylamide-gel electrophoresis on the basis of isoelectric point and molecular weight. We analyzed the gel images with the use of PD Quest software (Bio-Rad Laboratories, Hercules, Calif) to identify differentially expressed protein spots (ie, up or down with insulin vs down or up with TNF-alpha plus insulin). In separate experiments, phosphorus-32 incorporation/autoradiography and phosphoprotein staining were used to characterize treatment-induced phosphorylations. Affected protein spots were identified with the use of peptide fingerprinting and matrix-assisted laser desorption ionization time of flight mass spectrometry. The first series of experiments identified 6 differentially expressed proteins: eukaryotic translation initiation factor-3, subunit 2, regulator of G-protein signaling-5, superoxide dismutase, protein disulfide isomerase A6, proteasome subunit-alpha type 3, and regucalcin. In addition, we observed changes in the phosphorylation of protein disulfide isomerase A6. A second series of experiments identified 7 additional proteins with significantly altered differential expression: cell-division protein kinase-4, kinogen heavy chain, carbonic anhydrase-7, E 3 ubiquitin protein ligase, URE-B1; Rab GDP dissociation inhibitor-beta, Rab GDP dissociation inhibitor-beta2, and MAWDBP. It can be seen that differentially expressed proteins, affected by treatment with insulin or with TNF-alpha plus insulin, include regulators of translation, protein degradation, cellular Ca ++ , G-proteins, and free-radical production. Although one cannot detail the mechanism or mechanisms of TNF-alpha induced IR from this data alone, it is easy to relate all of these proteins to a role in insulin signal transduction and, hence, insulin resistance.