Proteomics: capacity versus utility

SjHSP90 recombinant protein and its possible application in the diagnosis of schistosomiasis and treatment efficacy monitoring

PURPOSE

The fraction antigen of Schistosoma japonicum (107-121 kDa) eggs can be used for treatment efficacy monitoring, but the methods are laborious. This study analyzed the antigen and its feasibility for infection screening and treatment efficacy monitoring, which is the key to schistosomiasis control.

METHODS

The fraction antigens have been analyzed by shotgun mass spectrometry. The recombinant proteins of candidates from the fraction antigens have been prokaryotic expression and purification in large amounts with high purity. The sera have been collected from rabbits and mice models of schistosomiasis infection and treatment. ELISA evaluated the diagnostic value of the candidate proteins.

RESULTS

SJCHGC00820 and SJCHGC06900, with higher credibility, were identified through Shotgun mass spectrometry. ELISA results showed that rSj00820 has a diagnostic value for schistosomiasis (positive OD/negative OD P/N=3.6), while rSj06900 showed negative (P/N)<2. In rabbits, the specific serum antibodies for SjHSP90(rSj00820) in the infected animals peaked 6 weeks after infection and gradually decreased after treatment, reaching negative levels at 11 weeks. SjHSP90-ELISA was used to test serum samples from infected mice. The sensitivity and specificity reached >90%, similar to the diagnostic value obtained with soluble egg antigen (SEA) (SEA-ELISA). After treatment, the negative conversion rate reached >80%, significantly superior to SEA-ELISA.

CONCLUSIONS

The SjHSP90-ELISA can be used for the immunological diagnosis and treatment efficacy monitoring of schistosomiasis. The study lays a foundation for further developing screening and diagnostic kits.

Increasing Coverage of Proteome Identification of the Fruiting Body of Agaricus bisporus by Shotgun Proteomics

To increase coverage of protein identification of an Agaricus bisporus fruiting body, we analyzed the crude protein fraction of the fruiting body by using a shotgun proteomics approach where 7 MudPIT (Multi-Protein identification Technology) runs were conducted and the MS/MS spectra from the 7 MudPIT runs were merged. Overall, 3093 non-redundant proteins were identified to support the expression of those genes annotated in the genome database of Agaricus bisporus. The physicochemical properties of the identified proteins, i.e., wide pI value range and molecular mass range, were indicative of unbiased protein identification. The relative quantification of the identified proteins revealed that K5XI50 (Aldedh domain-containing protein) and K5XEW1 (Ubiquitin-like domain-containing protein) were highly abundant in the fruiting body. Based on the information in the Uniprot (Universal Protein Resource) database for A. bisporus, only approximately 53% of the 3093 identified proteins have been functionally described and approximately 47% of the proteins remain uncharacterized. Gene Ontology analysis revealed that the majority of proteins were annotated with a biological process, and proteins associated with coiled-coil (12.8%) and nucleotide binding (8.21%) categories were dominant. The Kyoto Encyclopedia of Genes and Genome analysis revealed that proteins involved in biosynthesis of secondary metabolites and tyrosine metabolism were enriched in a fruiting body of Agaricus bisporus, suggesting that the proteins are associated with antioxidant metabolites.

A Low-Density DNA Microarray for Analysis of Markers in Breast Cancer

Breast cancer remains a major cause of death in women from Western countries. In the near future, advances in both nucleic acids technology and tumor biology should be widely exploited to improve the diagnosis, prognosis, and outcome prediction of this disease. The DNA microarray, also called biochip, is a promising tool for performing massive, simultaneous, fast, and standardized analyses of multiple molecular markers in tumor samples. However, most currently available microarrays are expensive, which is mainly due to the amount (several thousands) of different DNA capture sequences that they carry. While these high-density microarrays are best suited for basic studies, their introduction into the clinical routine remains hypothetical. We describe here the principles of a low-density microarray, carrying only a few hundreds of capture sequences specific to markers whose importance in breast cancer is generally recognized or suggested by the current medical literature. We provide a list of about 250 of these markers. We also examine some potential difficulties (homologies between marker and/or variant sequences, size of sequences, etc.) associated with the production of such a low-cost microarray.

Organellar Omics-A Reviving Strategy to Untangle the Biomolecular Complexity of the Cell

A eukaryotic cell encompasses many membrane-enclosed organelles, each of these holding several types of biomolecules that exhibit tremendous diversity in terms of their localization and expression. Despite the development of increasingly sensitive analytical tools, the enormous biomolecular complexity that exists within a cell cannot yet be fully resolved as low abundant molecules often remain unrecognized. Moreover, a drawback of whole cell analysis is that it does not provide spatial information and therefore it is not capable of assigning distinct biomolecules to specific compartments or analyzing changes in the composition of these compartments. Reduction of the biomolecular complexity of a sample helps to identify low abundant molecules, but such a reductionist approach requires methods that enable proper isolation and purification of individual cellular organelles. Decades of research have led to the development of a plethora of isolation methods for a broad range of subcellular organelles; yet, in particular, intrinsically dynamic compartments belonging to the endocytic machinery, including the plasma membrane, remain difficult to isolate in a sufficiently pure fraction. In this review, we discuss various methods that are commonly used to isolate subcellular organelles from cells and evaluate their advantages and disadvantages.

Proteome Analysis of Oral Pathogens

The oral environment contains diverse communities of micro-organisms including bacteria, fungi, protozoa, and viruses. Studies of oral ecology have led to an appreciation of the complexity of the interactions that oral micro-organisms have with the host in both health and disease. Despite this, diseases such as dental caries and periodontal diseases are still worldwide human ailments, resulting in a high level of morbidity and an economic burden to society. Proteomics offers a new approach to the understanding of holistic changes occurring as oral micro-organisms adapt to environmental change within their habitats in the mouth.

Comparative proteomic profiling reveals aberrant cell proliferation in the brain of embryonic Ts1Cje, a mouse model of Down syndrome

To identify molecular candidates involved in brain disabilities of Ts1Cje, a mouse model of Down syndrome (DS), we performed comparative proteomic analyses. Proteins extracted from the brains of postnatal wild-type (WT) and Ts1Cje mice were analyzed by two-dimensional gel electrophoresis (2-DE). No differences were detected in the proteins expressed in the whole brain between WT and Ts1Cje mice at postnatal day 0 and 3months of age. Five spots with differential expression in the brains of Ts1Cje mice were detected by 2-DE of brain proteins from WT and Ts1Cje embryos at embryonic day 14.5 (E14.5). These differentially expressed proteins in Ts1Cje embryos were identified as calcyclin-binding protein (CACYBP), nucleoside diphosphate kinase-B (NDPK-B), transketolase (TK), pyruvate kinase (PK), and 60S acidic ribosomal protein P0 (RPLP0) by peptide mass fingerprinting. CACYBP and NDPK-B were involved in cell proliferation, whereas TK and PK were associated with energy metabolism. Experiments on cell proliferation, an in vivo bromodeoxyuridine (BrdU)-labeling experiment, and immunohistochemical analysis for phospho-histone H3 (an M-phase marker) demonstrated increased numbers of BrdU-positive and M-phase cells in the ganglionic eminence. Our findings suggest that the dysregulated expression of proteins demonstrated by comparative proteomic analysis could be a factor in increased cell proliferation, which may be associated with abnormalities in DS brain during embryonic life.

Antibody microarrays: the crucial impact of mass transport on assay kinetics and sensitivity

Although they are superficially similar to DNA microarrays, immunoassay microarrays represent a daunting technological challenge owing to the much wider diversity of proteins. Yet, as the leading edge of bioscience migrates from genomics to proteomics, the complexity and enormous dynamic range of proteins in a cell necessitate an analytic tool with exceptional specificity and sensitivity. In theory, microspot immunoassays could fulfill this need. However, antibody microarrays have had limited success to date, and have often required a highly sensitive detection system and/or sophisticated immobilization approach to be of any use for the profiling of complex specimens. There is a solid body of work on the theory of microspot reaction kinetics, yet much of the published experimental work on protein microarray development pays insufficient attention to the kinetic aspects of this interaction. This review explains that one of the main limitations for the sensitivity of current generation microspot immunoassays is the strong dependence of antibody microspot kinetics upon mass flux to the spot. This not only involves migration of analyte in solution, but also across the surface of the solid phase. Understanding of this effect will be discussed, along with several related effects and their significance to improving existing microarray designs. It is concluded that current efforts may be too focused on areas that cannot improve performance significantly, and that other critical areas of design should receive more attention. Finally, the review addresses the question of whether ambient analyte immunoassay is truly a separate category of microspot assay, with the conclusion that this may be a flawed concept.

A streamlined approach to high-throughput proteomics

Proteomics has rapidly become an important tool for life science research, allowing the integrated analysis of global protein expression from a single experiment. To accommodate the complexity and dynamic nature of any proteome, researchers must use a combination of disparate protein biochemistry techniques, often a highly involved and time-consuming process. Whilst highly sophisticated, individual technologies for each step in studying a proteome are available, true high-throughput proteomics that provides a high degree of reproducibility and sensitivity has been difficult to achieve. The development of high-throughput proteomic platforms, encompassing all aspects of proteome analysis and integrated with genomics and bioinformatics technology, therefore represents a crucial step for the advancement of proteomics research. ProteomIQ (Proteome Systems) is the first fully integrated, start-to-finish proteomics platform to enter the market. Sample preparation and tracking, centralized data acquisition and instrument control, and direct interfacing with genomics and bioinformatics databases are combined into a single suite of integrated hardware and software tools, facilitating high reproducibility and rapid turnaround times. This review will highlight some features of ProteomIQ, with particular emphasis on the analysis of proteins separated by 2D polyacrylamide gel electrophoresis.

Proteomics in hematologic malignancies

Basic science research in hematology has been determining the functions of gene products using classical approaches that typically involve studying one or a few genes at a time. Proteomics, defined as the study of protein properties on a large scale, provides tools to globally analyze malignant hematologic cells. A major challenge in cancer therapy is the identification of drugs that kill tumor cells while preserving normal cells. Differential display via proteomics enables analysis of direct as well as side-effects of drugs at a molecular level. Proteomics also allows a better understanding of cell signaling pathways involved during apoptosis in hematologic cells. Storing the information in a 2D electrophoresis database enhances the efficiency of proteome research on malignant cells. Finally, the work needed to be carried out on proteomic analysis prior to routine clinical adoption is discussed, and the necessity for multi-institutional collaborations is emphasized.

Delineating the synovial fluid proteome: recent advancements and ongoing challenges in biomarker research

There is an urgent need for identifying novel serum biomarkers that can be used to improve diagnosis, predict disease progression or response to therapy, or serve as therapeutic targets for rheumatic diseases. Synovial fluid (SF) is secreted by and remains in direct contact with the synovial membrane, and can reflect the biochemical state of the joint under different physiological and pathological conditions. Therefore, SF is regarded as an excellent source for identifying biomarkers of rheumatologic diseases. The use of high-throughput and/or quantitative proteomics and sophisticated computational software applied to analyze the protein content of SF has been well-adopted as an approach to finding novel arthritis biomarkers. This review will focus on some of the potential pitfalls of biomarker studies using SF, summarize the status of the field of SF proteomics in general, as well as discuss some of the most promising biomarker study approaches using proteomics. A brief status of the biomarker discovery efforts in rheumatoid arthritis, osteoarthritis and juvenile idiopathic arthritis is also provided.

Comparison of Listeria monocytogenes Exoproteomes from biofilm and planktonic state: Lmo2504, a protein associated with biofilms

The food-borne pathogen Listeria monocytogenes is the causative agent of the severe human and animal disease listeriosis. The persistence of this bacterium in food processing environments is mainly attributed to its ability to form biofilms. The search for proteins associated with biofilm formation is an issue of great interest, with most studies targeting the whole bacterial proteome. Nevertheless, exoproteins constitute an important class of molecules participating in various physiological processes, such as cell signaling, pathogenesis, and matrix remodeling. The aim of this work was to quantify differences in protein abundance between exoproteomes from a biofilm and from the planktonic state. For this, two field strains previously evaluated to be good biofilm producers (3119 and J311) were used, and a procedure for the recovery of biofilm exoproteins was optimized. Proteins were resolved by two-dimensional difference gel electrophoresis and identified by electrospray ionization-tandem mass spectrometry. One of the proteins identified in higher abundance in the biofilm exoproteomes of both strains was the putative cell wall binding protein Lmo2504. A mutant strain with deletion of the gene for Lmo2504 was produced (3119Δlmo2504), and its biofilm-forming ability was compared to that of the wild type using the crystal violet and the ruthenium red assays as well as scanning electron microscopy. The results confirmed the involvement of Lmo2504 in biofilm formation, as strain 3119Δlmo2504 showed a significantly (P < 0.05) lower biofilm-forming ability than the wild type. The identification of additional exoproteins associated with biofilm formation may lead to new strategies for controlling this pathogen in food processing facilities.

Proteomics analysis of the Flp regulon in Lactococcus lactis subsp. cremoris

Lactococcus lactis subsp. cremoris MG1363 genome sequence was completed and encodes two flp genes flpA and flpB. Research carried out has suggested that the flpB proteins are transcriptional regulators that respond to the environmental oxygen level. A variety of flp deletion mutant strains with single and double mutation were created. Wild-type (MG1363) and its flp(-) derivatives were compared by 2DE to identify changes in protein intensity under different aerobic/anaerobic growth conditions. In total, 416 ± 20 and 444 ± 32 protein spots were quantified from anaerobic and aerobic cells, respectively, on pH 4-7 gels. Forty-five protein spots that changed were excised from 2DE gel, digested with trypsin and identified from their MALDI-TOF MS Peptide Mass Fingerprint. A variety of proteins were affected by the flp mutations and oxygen level. Some proteins were controlled by FlpA and FlpB independently and some required both FlpA and B for regulation. The identified proteins that are regulated by the Flp proteins can be grouped by biochemical function. These groups are oxidative stress, electron transfer, sugars, cell wall, ABC transporters, arginine metabolism, and pyrimidine biosynthesis pathway.

Combined application of targeted and untargeted proteomics identifies distinct metabolic alterations in the tetraacetylphytosphingosine (TAPS) producing yeast Wickerhamomyces ciferrii

The Wickerhamomyces ciferrii strain NRRL Y-1031 F-60-10A is a well-known producer of tetraacetylphytosphingosine (TAPS) and used for the biotechnological production of sphingolipids and ceramides. It was our aim to gain new biological insights into the sphingolipid metabolism by employing a dual platform mass spectrometry strategy. The first step comprised metabolic (15)N-labeling in combination with label-free proteomics using high resolution LTQ Orbitrap mass spectrometry. Then selected reaction monitoring tandem mass spectrometry served for the targeted quantification of sphingoid base biosynthesis enzymes. The non-producer strain NRRL Y-1031-27 served as a reference strain. In total, 1697 proteins were identified, and 123 enzymes of main metabolic pathways were observed as differentially expressed. Major findings were: 1) the likely presence of higher carbon flux in NRRL Y-1031 F-60-10A, resulting in higher availability of pyruvate and acetyl-CoA; 2) indications of oleaginous yeast-like behavior in NRRL Y-1031 F-60-10A; and 3) approx. 2-fold higher abundance of eight sphingolipid biosynthesis enzymes in NRRL Y-1031 F-60-10A. Taken together, in NRRL Y-1031 F-60-10A, the levels of glycolytic enzymes apparently gear carbon flux towards higher acetyl-CoA synthesis rates, while simultaneously reducing protein biosynthesis in the process. Thereby, C2 building blocks for acyl-moieties and downstream sphingoid base acetylation are provided to maintain TAPS production.

BIOLOGICAL SIGNIFICANCE

First quantitative proteome study for a phytosphingosine-producing yeast.

Proteomic Approach to Evaluate Mechanisms That Contribute to Food Allergenicity: Comparative 2D-DIGE Analysis of Radioallergosorbent Test Positive and Negative Patients

Proteomic profiles of RAST⁺ subjects with severe food allergies and RAST⁻ subjects were compared using 2D-DIGE analysis to obtain candidate biomarkers specific to food allergies. Our analysis highlighted 52 proteins that were differentially expressed between the RAST⁺ and RAST⁻ groups of which 37 were successfully identified that include chondroitin sulfates, zinc finger proteins, C-type lectins, retinoic acid binding proteins, heat shock proteins, myosin, cytokines, mast cell expressed proteins, and MAP kinases. Biological network analysis tool Metacore revealed that most of these regulated proteins play a role in immune tolerance, hypersensitivity and modulate cytokine patterns inducing a Th2 response that typically results in IgE-mediated allergic response which has a direct or indirect biological link to food allergy. Identifying unique biomarkers associated with certain allergic phenotypes and potentially cross-reactive proteins through bioinformatics analyses will provide enormous insight into the mechanisms that underlie allergic response in patients with food allergies.

A solid-phase bioreactor with continuous sample deposition for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

We report the development of a solid-phase proteolytic digestion and continuous deposition microfluidic chip platform for low volume fraction collection and off-line matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. Tryptic peptides were formed in an on-chip bioreactor and continuously deposited onto a MALDI target plate using a motor-driven xyz stage. The bioreactor consisted of a 4 cm × 200 µm × 50 µm microfluidic channel with covalently immobilized trypsin on an array of 50 µm diameter micropost structures with a 50 µm edge-to-edge inter-post spacing. A 50 µm i.d. capillary tube was directly attached to the end of the bioreactor for continuous sample deposition. The MALDI target plate was modified by spin-coating a nitrocellulose solution containing a MALDI matrix on the surface prior to effluent deposition. Protein molecular weight standards were used for evaluating the performance of the digestion and continuous deposition system. Serpentine sample traces 200 µm wide were obtained with a 30 fmol/mm quantity deposition rate and a 3.3 nL/mm volumetric deposition rate.

Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling

Background

Molecularly targeted drugs inhibit aberrant signaling within oncogenic pathways. Identifying the predominant pathways at work within a tumor is a key step towards tailoring therapies to the patient. Clinical samples pose significant challenges for proteomic profiling, an attractive approach for identifying predominant pathways. The objective of this study was to determine if information obtained from a limited sample (i.e., a single gel replicate) can provide insight into the predominant pathways in two well-characterized breast cancer models.

Methods

A comparative proteomic analysis of total cell lysates was obtained from two cellular models of breast cancer, BT474 (HER2+/ER+) and SKBR3 (HER2+/ER-), using two-dimensional electrophoresis and MALDI-TOF mass spectrometry. Protein interaction networks and canonical pathways were extracted from the Ingenuity Pathway Knowledgebase (IPK) based on association with the observed pattern of differentially expressed proteins.

Results

Of the 304 spots that were picked, 167 protein spots were identified. A threshold of 1.5-fold was used to select 62 proteins used in the analysis. IPK analysis suggested that metabolic pathways were highly associated with protein expression in SKBR3 cells while cell motility pathways were highly associated with BT474 cells. Inferred protein networks were confirmed by observing an up-regulation of IGF-1R and profilin in BT474 and up-regulation of Ras and enolase in SKBR3 using western blot.

Conclusion

When interpreted in the context of prior information, our results suggest that the overall patterns of differential protein expression obtained from limited samples can still aid in clinical decision making by providing an estimate of the predominant pathways that underpin cellular phenotype.

Combined usage of cascade affinity fractionation and LC-MS/MS for the proteomics of adult mouse testis

In this report, the proteomics of adult mouse testis were analyzed by the combined usage of cascade affinity fractionation and LC-MS/MS. The differences between the selected affinity ligands in size, shape, structure, and biochemical characteristics, result in each ligand exhibiting a specific affinity to some protein groups. Therefore, a cascade composition of different ligands can be applied to the fractionation of complex tissue proteins. Ultimately, the fractions collected from cascade affinity fractionation were analyzed by LC-MS/MS, which resulted in high confidence identification of a total of 1378 non-redundant mouse testis protein groups, over 2.6 times as many proteins as were detected in the un-fractionated sample (526). All detected proteins were bioinformatically categorized according to their physicochemical characteristics (such as relative molecular mass, pI, grand average hydrophobicity value, and transmembrane helices), subcellular location, and function annotation. This approach highlighted the sensitivity of this method to a wide variety of protein classes. Utilizing a combination of cascade affinity fractionation and LC-MS/MS, we have established the largest proteomic database for adult mouse testis at the present time.

Pre-fractionation of rat liver cytosol proteins prior to mass spectrometry-based proteomic analysis using tandem biomimetic affinity chromatography

Efficient and high resolution separation of the protein mixture prior to trypsin digestion and mass spectrometry (MS) analysis is generally used to reduce the complexity of samples, an approach that highly increases the probability of detecting low-copy-number proteins. Our laboratory has constructed an affinity ligand library composed of thousands of ligands with different protein absorbance effects. Structural differences between these ligands result in different non-bonded protein-ligand interactions, thus each ligand exhibits a specific affinity to some protein groups. In this work, we first selected out several synthetic affinity ligands showing large band distribution differences in proteins absorbance profiles, and a tandem composition of these affinity ligands was used to distribute complex rat liver cytosol into simple subgroups. Ultimately, all the fractions collected from tandem affinity pre-fractionation were digested and then analyzed by LC-MS/MS, which resulted in high confidence identification of 665 unique rat protein groups, 1.8 times as many proteins as were detected in the un-fractionated sample (371 protein groups). Of these, 375 new proteins were identified in tandem fractions, and most of the proteins identified in un-fractionated sample (290, 80%) also emerged in tandem fractions. Most importantly, 430 unique proteins (64.7%) only characterized in specific fractions, indicating that the crude tissue extract was well distributed by tandem affinity fractionation. All detected proteins were bioinformatically annotated according to their physicochemical characteristics (such as MW, pI, GRAVY value, TM Helices). This approach highlighted the sensitivity of this method to a wide variety of protein classes. Combined usage of tandem affinity pre-fractionation with MS-based proteomic analysis is simple, low-cost, and effective, providing the prospect of broad application in proteomics.

The use of proteomics to identify novel therapeutic targets for the treatment of disease

The completion of the Human Genome Project has revealed a multitude of potential avenues for the identification of therapeutic targets. Extensive sequence information enables the identification of novel genes but does not facilitate a thorough understanding of how changes in gene expression control the molecular mechanisms underlying the development and regulation of a cell or the progression of disease. Proteomics encompasses the study of proteins expressed by a population of cells, and evaluates changes in protein expression, post-translational modifications, protein interactions, protein structure and splice variants, all of which are imperative for a complete understanding of protein function within the cell. From the outset, proteomics has been used to compare the protein profiles of cells in healthy and diseased states and as such can be used to identify proteins associated with disease development and progression. These candidate proteins might provide novel targets for new therapeutic agents or aid the development of assays for disease biomarkers. This review provides an overview of the current proteomic techniques available and focuses on their application in the search for novel therapeutic targets for the treatment of disease.

Development of an efficient on-chip digestion system for protein analysis using MALDI-TOF MS

A solid-phase trypsin microreactor was constructed and operated with electrokinetically-driven flow for the digestion of proteins and coupled off-line with MALDI-TOF MS. The bioreactor was fabricated from poly(methyl methacrylate), PMMA, by hot embossing using a mold master prepared by micro-milling. The solid-phase bioreactor consisted of a 4 cm long, 200 microm wide, and 50 microm deep microfluidic channel that was populated with an array of 50 microm diameter micropost structures with a 50 microm inter-post spacing. The bioreactor was prepared by covalently attaching the proteolytic enzyme, trypsin, to the UV-modified surface of the PMMA microstructures using the appropriate coupling reagents. The performance of the system was evaluated using a set of proteins. The bioreactor provided efficient digestion of cytochrome c at a field strength of 375 V/cm, producing a reaction time of approximately 20 s to produce 97% sequence coverage for protein identification. Bovine serum albumin (BSA), phosphorylase b, and beta-casein were also assessed and the sequence coverages were 46, 63, and 79%, respectively, using the same reactor residence time. Furthermore, Escherichia coli was used as a model to demonstrate the feasibility of fingerprint analysis for intact cells using this solid-phase bioreactor.

Microfluidics with MALDI analysis for proteomics--a review

Various microfluidic devices have been developed for proteomic analyses and many of these have been designed specifically for mass spectrometry detection. In this review, we present an overview of chip fabrication, microfluidic components, and the interfacing of these devices to matrix-assisted laser desorption ionization (MALDI) mass spectrometry. These devices can be directly coupled to the mass spectrometer for on-line analysis in real-time, or samples can be analyzed on-chip or deposited onto targets for off-line readout. Several approaches for combining microfluidic devices with analytical functions such as sample cleanup, digestion, and separations with MALDI mass spectrometry are discussed.

Subcellular protein extraction from human pancreatic cancer tissues

Proteins are the major class of effector molecules in cellular systems. For the identification of functional differences between normal and diseased tissues, a reliable analysis of their protein content is essential. Reproducible isolation and fractionation of intact proteins are important in this respect, but their complexity in structure and concentration, their close interaction, and their instability represent major challenges. For protein isolation in tissues, the breakdown of cell-cell and cell-matrix connections within a tissue without affecting protein quality is a critical factor. We compared different processes for a compartmental protein preparation from pancreatic tissue, one of the most challenging tissues for protein isolation because of its high protease content. Success of the different procedures varied greatly. Based on a scheme of tissue-slicing and subsequent cell isolation, we established a reliable workflow for the fractional extraction of cytosolic proteins, membrane and organelle proteins, nuclear proteins, and cytoskeletal filaments. The tissue slices also allow for a representative confirmation of individual samples' cellular status by histochemical processes, and a proper separation or mixing of cellular material from across a tumor if required.

Proteomic profiling of the effect of prostate-specific antigen on prostate cancer cells

BACKGROUND

Prostate-specific antigen (PSA) is a well-known biomarker for diagnosis and management of prostate cancer. PSA has been shown to have anti-angiogenic activity. We used the emerging proteomic research technology to identify proteins in prostate cancer cells whose expression is regulated by enzymatically active PSA.

METHODS

Differentially expressed proteins in PC-3M cells treated with PSA were analyzed by 2D-DIGE analysis and identified by HPLC-MS/MS and SEQUEST data mining. Biological network analysis was carried out using MetaCore integrated software designed for functional analysis of experimental data. Gene expression data for several regulated proteins were confirmed by real-time, quantitative PCR.

RESULTS

A total of 41 proteins were significantly (P < 0.05) changed in abundance in PC-3M cells in response to PSA treatment. Proteins from 26 gel-spots were identified. Many of the down-regulated proteins including N8 gene product long isoform, laminin receptor, vimentin, DJ-1 and Hsp60 are known to be involved in tumor progression.

DISCUSSION

The relevance of the level of PSA in prostate tissue microenvironment and its relation to tumor progression has not been elucidated. PSA has been shown to down-regulate several proteins that are known to have involvement in tumor progression. This suggests that normal physiological levels of PSA in prostate tissue microenvironment may be promoting non-angiogenic environment and its down-regulation may promote tumor growth.

Proteome Profiling of Vitreoretinal Diseases by Cluster Analysis

Vitreous samples collected in retinopathic surgeries have diverse properties, making proteomics analysis difficult. We report a cluster analysis to evade this difficulty. Vitreous and subretinal fluid samples were collected from 60 patients during surgical operation of non-proliferative diabetic retinopathy, proliferative diabetic retinopathy, proliferative vitreoretinopathy, and rhegmatogenous retinal detachment. For controls we collected vitreous fluid from patients of idiopathic macular hole, epiretinal, and from a healthy postmortem donor. Proteins from these samples were subjected to quantitative proteomics using two-dimensional gel electrophoresis. We selected 105 proteins robustly expressed among ca 400 protein spots and subjected them to permutation test. By using permutation test analysis we observed unique variations in the expression of some of these proteins in vitreoretinal diseases when compared to the control and to each other: 1) the levels of inflammation-associate proteins such as AAT, APOA4, ALB, and TF were significantly higher in all four types of vitreoretinal diseases, and 2) each vitreoretinal disease elevates a unique set of proteins which can be interpreted based on the pathology of retinopathy. Our protocol will be effective for the study of protein expression in other types of clinical samples of diverse property.

Experimental setups and considerations to study microbial interactions

Within ecosystems microorganisms coexist and interact. Knowledge of these interactions is of great importance in the fields of ecology, food production, and medicine. Such interactions often involve the synthesis of antibiotic secondary metabolites. Different kinds of s molecules or direct contacts are other forms of microbial interactions. Recently, modern molecular methods such as microarrays and proteomics have been employed to investigate such interactions. In this chapter, the use of proteomics for studies of microbial interactions is discussed. The choice of experimental setup is dependent on the aims of the specific study. One aspect of competition between microbes can be simulated by treatment of one microbe with antibiotics produced by a competing microbe. A more complicated approach involves cocultivation of the competitors, but in order to reveal species-specific protein patterns it is advisable to keep the organisms separated. Alternative techniques are to monitor alterations in the proteomes between the wild-type and mutant strains. The mutant can be either natural or created using random or targeted mutagenesis. Generally, a proteomic study will reveal proteins with both expected and surprising changes in abundance upon competition, but also previously unknown proteins are likely to be identified. A proteomic approach is usually insufficient to obtain a complete data set describing microbial interactions. Therefore, it is essential to follow up identification of proteins with changed abundance by, e.g., the creation of knockout strains for phenotypic analyses. Despite the limitations, proteomics is a useful method, and an important complement to other approaches for studies of microbial interactions.

Biomarkers of lupus nephritis determined by serial urine proteomics

Lupus nephritis is a frequent and serious complication of systemic lupus erythematosus (SLE), the treatment of which often requires the use of immunosuppressives that can have severe side effects. Here we determined the low-molecular weight proteome of serial lupus urine samples to uncover novel and predictive biomarkers of SLE renal flare. Urine from 25 flare cycles of 19 patients with WHO Class III, IV, and V SLE nephritis were obtained at baseline, pre-flare, flare and post-flare. Each sample was first fractionated to remove proteins larger than 30 kDa, then applied onto weak cation exchanger protein chips for analysis by SELDI-TOF mass spectrometry. We found 176 protein ions of which 27 were differentially expressed between specific flare intervals. On-chip peptide sequencing by integrated tandem mass spectrometry positively identified the 20 and 25 amino-acid isoforms of hepcidin, as well as fragments of alpha1-antitrypsin and albumin among the selected differentially expressed protein ions. Hepcidin 20 increased 4 months before renal flare and returned to baseline at renal flare, whereas hepcidin 25 decreased at renal flare and returned to baseline 4 months after the flare. These studies provide a beginning proteomic analysis aimed at predicting impending renal relapse, relapse severity, and the potential for recovery after SLE nephritis flare.

Overview of proteome analysis

This unit reviews the new discipline of proteomics, which includes any large-scale protein-based systematic analysis of the proteome or defined sub-proteome from a cell, tissue, or entire organism. Proteomics originated in the mid-1990 s due to two key enabling advances, availability of complete genome sequences, and mass spectrometry advances that allowed high sensitivity identifications of proteins. Proteome analyses can be broadly categorized into three types of studies: quantitative protein profile comparisons, analysis of protein-protein interactions, and compositional analysis of simple proteomes or subproteomes such as organelles or large protein complexes. The complexity of different types of proteomes, the merits of targeted versus global proteome studies, and the advantages of alternative separation and analysis technologies are discussed.

Recent development of multi-dimensional chromatography strategies in proteome research

As a complementary approach to two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), multi-dimensional chromatography separation methods have been widely applied in all kinds of biological sample investigations. Multi-dimensional liquid chromatography (MDLC) coupled with bio-mass spectrometry (MS) is playing important roles in proteome research due to its high speed, high resolution and high sensitivity. Proteome analysis strategies mainly include bottom-up and top-down approaches which carry out biological sample separation based on peptide and protein levels, respectively. Electrophoretic methods combined with liquid chromatography like IEF-HPLC and HPLC-SDS-PAGE have been successful applied for protein separations. As for MDLC strategy, ion-exchange chromatography (IEX) together with reversed phase liquid chromatography (RPLC) is still a most widely used chromatography in proteome analysis, other chromatographic methods are also frequently used in protein pre-fractionations, while affinity chromatography is usually adopted for specific functional protein analysis. Recent MDLC technologies and applications to variety of proteome analysis have been achieved great development. A digest peptide-based approach as so-called “bottom-up” and intact protein-based approach “top-down” analysis of proteome samples were briefly reviewed in this paper. The diversity of combinations of different chromatography modes to set up MDLC systems was demonstrated and discussed. Novel developments of MDLC techniques such as high-abundance protein depletion and chromatography array were also included in this review.

Genomic and proteomic analysis of the effects of cannabinoids on normal human astrocytes

Delta-9-tetrahydrocannabinol (Delta(9)-THC), the main psychoactive component of marijuana, is known to dysregulate various immune responses. Cannabinoid (CB)-1 and -2 receptors are expressed mainly on cells of the central nervous system (CNS) and the immune system. The CNS is the primary target of cannabinoids and astrocytes are known to play a role in various immune responses. Thus we undertook this investigation to determine the global molecular effects of cannabinoids on normal human astrocytes (NHA) using genomic and proteomic analyses. NHA were treated with Delta(9)-THC and assayed using gene microarrays and two-dimensional (2D) difference gel electrophoresis (DIGE) coupled with mass spectrometry (MS) to elucidate their genomic and proteomic profiles respectively. Our results show that the expression of more than 20 translated protein gene products from NHA was differentially dysregulated by treatment with Delta(9)-THC compared to untreated, control NHA.

Modulation of the host cell proteome by the intracellular apicomplexan parasite Toxoplasma gondii

To investigate how intracellular parasites manipulate their host cell environment at the molecular level, we undertook a quantitative proteomic study of cells following infection with the apicomplexan parasite Toxoplasma gondii. Using conventional two-dimensional electrophoresis, difference gel electrophoresis (DIGE), and mass spectrometry, we identified host proteins that were consistently modulated in expression following infection. We detected modification of protein expression in key metabolic pathways, including glycolysis, lipid and sterol metabolism, mitosis, apoptosis, and structural-protein expression, suggestive of global reprogramming of cell metabolism by the parasite. Many of the differentially expressed proteins had not been previously implicated in the response to the parasite, while others provide important corroborative protein evidence for previously proposed hypotheses of pathogen-cell interactions. Significantly, over one-third of all modulated proteins were mitochondrial, and this was further investigated by DIGE analysis of a mitochondrion-enriched preparation from infected cells. Comparison of our proteomic data with previous transcriptional studies suggested that a complex relationship exits between transcription and protein expression that may be partly explained by posttranslational modifications of proteins and revealed the importance of investigating protein changes when interpreting transcriptional data. To investigate this further, we used phosphatase treatment and DIGE to demonstrate changes in the phosphorylation states of several key proteins following infection. Overall, our findings indicate that the host cell proteome responds in a dramatic way to T. gondii invasion, in terms of both protein expression changes and protein modifications, and reveal a complex and intimate molecular relationship between host and parasite.

Free PSA forms in prostatic tissue and sera of prostate cancer patients: Analysis by 2-DE and western blotting of immunopurified samples

OBJECTIVE

The isoform pattern of free prostate-specific antigen (fPSA) from sera of patients with prostate cancer (PCa) and no evidence of prostate cancer (NPCa), cancerous and non-cancerous tissues and seminal plasma, have been compared, above all regarding the degree of sialylation, with the aim to show a better discrimination of PCa and NPCa.

DESIGN AND METHODS

The samples have been immunopurified and analyzed by two dimensional gel electrophoresis and western blotting. It was investigated which patterns were obtained when looking for the fPSA and the (-5/-7)proPSA (precursor form) before and after desialylation.

RESULTS

The fPSA sialylation and the proPSA pattern in cancerous and non-cancerous prostate tissues were similar to each other and only slightly different from PCa and NPCa sera. The different fPSA isoforms observed could not be due solely to differences in the degree of sialylation, because different fPSA and (-5/-7)proPSA precursor isoforms were still present after complete desialylation.

CONCLUSIONS

Although slight differences in the fPSA and (-5/-7) proPSA glycosylation and isoform pattern were observed, they were not large enough to be considered to improve PCa diagnosis.

Two dimensional liquid phase separations of proteins using online fractionation and concentration between chromatographic dimensions

Multi-dimensional liquid chromatography is often presented as an alternative to two-dimensional (2-D) gel electrophoresis for separating complex protein mixtures. The vast majority of analytical-scale 2-D LC systems have employed either off-line fractionation or stepped gradients in the first dimension separation. The latter severely restrict flexibility in setting up the first dimension gradient. We propose a novel two-dimensional LC system that employs online fractionation of proteins into a series of small reversed phase trapping columns. These traps effectively decouple the two separation dimensions and avoid problems associated with off-line fraction collection. Flexibility in determining the gradient programs for the two separations is thus enhanced. The reduced diameter of the trapping columns concentrates analyte between chromatographic dimensions. The apparatus is coupled with online electrospray time-of-flight mass spectrometry to characterize ribosomal proteins of Caulobacter crescentus.

Quantitative Proteome Analysis of Barley Seeds Using Ruthenium(II)-tris-(bathophenanthroline-disulphonate) Staining

This paper describes the application of the recently introduced fluorescence stain Ruthenium(II)-tris-(bathophenanthroline-disulphonate) (RuBP) on a comparative proteome analysis of two phenotypically different barley lines. We carried out an analysis of protein patterns from 2-D gels of the parental lines of the Oregon Wolfe Barley mapping population DOM and REC and stained with either the conventional colloidal Coomassie Brilliant Blue (cCBB) or with the novel RuBP solution. We wished to experimentally verify the usefulness of such a stain in evaluating the complex pattern of a seed proteome, in comparison to the previously used cCBB staining technique. To validate the efficiency of visualization by both stains, we first compared the overall number of detected protein spots. On average, 790 spots were visible by cCBB staining and 1200 spots by RuBP staining. Then, the intensity of a set of spots was assessed, and changes in relative abundance were determined using image analysis software. As expected, staining with RuBP performed better in quantitation in terms of sensitivity and dynamic range. Furthermore, spots from a cultivar-specific region in the protein map were chosen for identification to asses the gain of biological information due to the staining procedure. From this particular region, eight spots were visualized exclusively by RuBP and identification was successful for all spots, proving the ability to identify even very low abundant proteins. Performance in MS analysis was comparable for both protein stains. Proteins were identified by MALDI-TOF MS peptide mass fingerprinting. This approach was not successful for all spots, due to the restricted entry number for barley in the database. Therefore, we subsequently used LC-ESI-Q-TOF MS/MS and de novo sequencing for identification. Because only an insufficient number of proteins from barley is annotated, an EST-based identification strategy was chosen for our experiment. We wished to test whether under these limitations the application of a more sensitive stain would lead to a more advanced proteome approach. In summary, we demonstrate here that the application of RuBP as an economical but reliable and sensitive fluorescence stain is highly suitable for quantitative proteome analysis of plant seeds.

Comprehensive two-dimensional separation in coupling of reversed-phase chromatography with capillary isoelectric focusing followed by MALDI-MS identification using on-target digestion for intact protein analysis

A coupling of capillary RP LC as the first dimension with CIEF as the second dimension followed by MALDI-MS identification was demonstrated. Based on 2-D separation system developed by our group (Electrophoresis 2003, 24, 3289-3295), this paper focused on incorporating tryptic digestion into the top-down proteomics methodology, retaining the benefits of the top-down method. Hydrophobic layer of packing-material C18 coated with SE-30 on the MALDI-target surface was used to permit the CIEF fractions to be easily concentrated and free of ampholytes using on-target washing. Following the removal of ampholytes, on-target tryptic digestion was performed to generate PMF for protein identification. Using the proteome analytical strategy, we could obtain not only intact protein pI value but also PMF for accurate protein identification. The feasibility of the strategy was first tested with a mixture of model proteins with different pIs and molecular masses. Proteome of rat liver tissue extracts was further analyzed using the system for verification. The results have shown that the system is effective for complex proteomic analysis.

Biotechnology offers revolution to fish health management

Biotechnology has many applications in fish health management. The application of monoclonal antibodies (mAbs) provides a rapid means of pathogen identification; antibodies to immunoglobulins from different fish species can be used to monitor the host response following vaccination; and mAbs also have the potential for screening broodstock for previous exposure to pathogens. Luminex technology exemplifies a novel antibody-based method that can be applied to both pathogen detection and vaccine development. Molecular technologies, such as the polymerase chain reaction (PCR), real time PCR and nucleic acid sequence-based amplification (NASBA), have enabled detection, identification and quantification of extremely low levels of aquatic pathogens, and microarray technologies offer a new dimension to multiplex screening for pathogens and host response. Recombinant DNA technology permits large-scale, low-cost vaccine production, moreover DNA vaccination, proteomics, adjuvant design and oral vaccine delivery will undoubtedly foster the development of effective fish vaccines in the future.

Interfacing capillary gel microfluidic chips with infrared laser desorption mass spectrometry

We report on the fabrication and performance of a gel microfluidic chip interfaced to laser desorption/ionization (LDI) mass spectrometry with a time-of-flight mass analyzer. The chip was fabricated from poly(methylmethacrylate) with a poly(dimethyl siloxane) cover. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis was performed in the channel of the microfluidic chip. After electrophoresis, the cover was removed and either the PDMS chip or the PMMA cover was mounted in a modified MALDI ion source for analysis. Ions were formed by irradiating the channel with 2.95 microm radiation from a pulsed optical parametric oscillator (OPO), which is coincident with IR absorption by N-H and O-H stretch of the gel components. No matrix was added. The microfluidic chip design allowed a decrease in the volume of material required for analysis over conventional gel slabs, thus enabling improvement in the detection limit to a pmol level, a three orders of magnitude improvement over previous studies in which desorption was achieved from an excised section of a conventional gel.

An impulse-driven liquid-droplet deposition interface for combining LC with MALDI MS and MS/MS

A simple and robust impulse-driven droplet deposition system was developed for off-line liquid chromatography matrix-assisted laser desorption ionization mass spectrometry (LC-MALDI MS). The system uses a solenoid operated with a pulsed voltage power supply to generate impulses that dislodge the hanging droplets from the LC outlet directly to a MALDI plate via a momentum transfer process. There is no contact between the LC outlet and the collection surface. The system is compatible with solvents of varying polarity and viscosity, and accommodates the use of hydrophobic and hydrophilic MALDI matrices. MALDI spots are produced on-line with the separation, and do not require further processing before MS analysis. It is shown that high quality MALDI spectra from 5 fmol of pyro-Glu-fibrinopeptide deposition after LC separation could be obtained using the device, indicating that there was no sample loss in the interface. To demonstrate the analytical performance of the system as a proteome analysis tool, a range of BSA digest concentrations covering about 3 orders of magnitude, from 5 fmol to 1 pmol, were analyzed by LC-MALDI quadrupole time-of-flight MS, yielding 6 and 57% amino acid sequence coverage, respectively. In addition, a complex protein mixture of an E. coli cell extract was tryptically digested and analyzed by LC-MALDI MS, resulting in the detection of a total of 409 unique peptides from 100 fractions of 15-s intervals.