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PubMed2005

Structure specific chromatographic selection in targeted proteomics.

The whole proteome of any organism is too complicated to be analyzed in a simple one-step process and direct attempts for the entire proteome analysis normally lead to considerable loss of information. A practical approach is the targeting of the specific structural feature of interest using chromatography. This approach simplifies the proteome while preserving most of the vital information necessary for analysis. Selection of peptides with specific amino acids (cysteine, histidine and methionine) or N- or C-terminal peptides is an accepted procedure for proteome simplification when general analysis is desired. While selection of enzymatically and non-enzymatically modified proteins and peptides is used when post-translational modifications are targeted. Protein interaction with small molecules as well as other proteins also has been studied using chromatographic selection methods.

Chromatography↗
PubMed2005

Combination of two-dimensional electrophoresis and shotgun peptide sequencing in comparative proteomics.

Two-dimensional electrophoresis (2-DE) and shotgun peptide sequencing are the two major technologies to compare the expression profile of proteins, which is also referred to as comparative proteomics or quantitative proteomics. Although the methodologies, such as difference gel electrophoresis for 2-DE and isotope-coded affinity tags for shotgun peptide sequencing, have made rapid progress, these two approaches have their own strengths and weaknesses. Therefore, the combination of the two methodologies is beneficial for the purpose of better comparative proteomics, especially in comprehensive coverage of the proteome and protein information such as post-translational modifications.

Animals↗
PubMed2006

Disease proteomics of high-molecular-mass proteins by two-dimensional gel electrophoresis with agarose gels in the first dimension (Agarose 2-DE).

Agarose gel is the preferred electrophoretic medium currently used for separating high molecular mass (HMM) proteins (MW>100 kDa). Agarose gels are widely used for both SDS-agarose gel electrophoresis and agarose isoelectric focusing (IEF). A two-dimensional gel electrophoresis method employing agarose gels in the first dimension (agarose 2-DE) that is sufficiently good at separating up to 1.5mg of HMM proteins with molecular masses as large as 500 kDa has been used to separate proteins from various diseased tissues and cells. Although resolution of the agarose 2-DE pattern always depends on the tissue being analyzed, sample preparation procedures including (i) protein extraction with an SDS sample buffer; (ii) ultracentrifugation of a tissue homogenate; and (iii) 1% SDS in both stacking and separation gels of the second-dimension SDS-PAGE gel, are generally effective for HMM protein detection. In a comprehensive prostate cancer proteome study using agarose 2-DE, the HMM region of the gel was rich in proteins of particular gene/protein expression groups (39.1% of the HMM proteins but only 28.4% of the LMM ones were classified as transcription/translation-related proteins). Examples include transcription factors, DNA or RNA binding proteins, and ribosomal proteins. To understand oxidative stress-induced cellular damage at the protein level, a novel proteomic method, in which protein carbonyls were derivatized with biotin hydrazide followed by agarose 2-DE, was useful for detecting HMM protein carbonyls in tissues of both a diabetes model Ostuka Long-Evans Tokushima Fatty (OLETF) rat and a control Long-Evans Tokushima Otsuka (LETO) rat. In this paper, we review the use of agarose gels for separation of HMM proteins and disease proteomics of HMM proteins in general, with particular attention paid to our proteome analyzes based on the use of agarose 2-DE for protein separation followed by the use of mass spectrometry for protein identification.

Animals↗
PubMed2004

Intracellular antibodies for proteomics.

The intracellular antibody technology has many applications for proteomics studies. The potential of intracellular antibodies for the systematic study of the proteome has been made possible by the development of new experimental strategies that allow the selection of antibodies under conditions of intracellular expression. The Intracellular Antibody Capture Technology (IACT) is an in vivo two-hybrid-based method originally developed for the selection of antibodies readily folded for ectopic expression. IACT has been used for the rapid and effective identification of novel antigen-antibody pairs in intracellular compartments and for the in vivo identification of epitopes recognized by selected intracellular antibodies. IACT opens the way to the use of intracellular antibody technology for large-scale applications in proteomics. In its present format, its use is however somewhat limited by the need of a preselection of the input phage antibody libraries on protein antigens or by the construction of an antibody library from mice immunized against the target protein(s), to provide an enriched input library to compensate for the suboptimal efficiency of transformation of the yeast cells. These enrichment steps require expressing the corresponding proteins, which represents a severe bottleneck for the scaling up of the technology. We describe here the construction of a single pot library of intracellular antibodies (SPLINT), a naïve library of scFv fragments expressed directly in the yeast cytoplasm in a format such that antigen-specific intrabodies can be isolated directly from gene sequences, with no manipulation whatsoever of the corresponding proteins. We describe also the isolation from SPLINT of a panel of intrabodies against a number of different proteins. The application of SPLINT on a genome-wide scale should help the systematic study of the functional organization of cell proteome.

Genetic Vectors↗
PubMed2006

A multiplexed proteomics approach to differentiate neurite outgrowth patterns.

We report here a method for proteomics pattern discovery by utilizing a self-organizing map approach to analyze data obtained from a novel multiplex iTRAQ proteomics method. Through the application of this technique, we were able to delineate the early molecular events preceding dorsal root ganglia neurite outgrowth induced by either nerve growth factor (NGF) or an immunophilin ligand, JNJ460. Following pattern analysis we discovered that each neurotrophic agent promoted mostly distinct increases in protein expression with few overlapping patterns. In the NGF-treated group, proteins possessing "biosynthesis function" (p < 0.002) and "ribosome localization" (p < 0.0003) were increased, while proteins promoting "organogenesis" (p < 0.004) and related "signal transduction" (p < 0.008) functions were notably increased in the JNJ460-treated group. This study suggests that the properties of neurite outgrowth triggered by NGF and JNJ460 can be distinguished at the proteome level. Multiplexed proteomics analysis, along with pattern discovery bioinformatics tools, has the capability to differentiate subtle neuroproteomics patterns.

Animals↗
PubMed2006

Simultaneous proteomic profiling of four different growth states of human fibroblasts, using amine-reactive isobaric tagging reagents and tandem mass spectrometry.

In general, permanent growth arrest due to exhaustive cell replication can be induced prematurely by either stress or overexpression of selected oncogenes. In an attempt to examine key proteins involved in achieving premature senescence, and how they differ from those in serially passaged, replicatively exhausted cells, we used a novel proteomic profiling approach, isobaric tagging for relative and absolute quantitation (iTRAQ), to perform simultaneous four-way comparison of replicatively senescent fibroblasts, oxidatively stressed prematurely senescent fibroblasts, and their young replicating and quiescent counterparts. Two hundred and forty proteins were identified and quantified simultaneously; data analysis reveals: (1) groups of proteins whose expressions are uniformly either up- or down-regulated in all three growth arrest states; (2) signature proteins which may serve as candidate proteomic markers to differentiate the quiescent state from permanent growth arrest by either exhaustive replication or stress induction and (3) that while oxidative stress-induced, prematurely senescent fibroblasts morphologically resemble their replicatively exhausted counterparts, they exhibit different protein expression patterns. Results from simultaneous proteomic profiling were validated by Western blotting for selected proteins: collagen type I, HSP90 and vimentin. In conclusion, this report shows that iTRAQ proteomic profiling is a powerful technique for globally mapping protein signatures for different culture growth states.

Amino Acid Sequence↗
PubMed2004

Quantitative proteome analysis in benign thyroid nodular disease using the fluorescent ruthenium II tris(bathophenanthroline disulfonate) stain.

Thyroid tumorigenesis involves qualitative and quantitative changes in protein expression, which can be comprehensively studied by proteome analysis. However, one of the technical bottlenecks of proteomics remains a reliable, sensitive and inexpensive method for quantification of differentially expressed proteins. This is due to the limited linear range of most available protein stains, i.e. silver and Coomassie blue, and high costs of commercially available fluorescent stains. In this paper we describe our experience with a lab-made ruthenium based fluorescent stain (ruthenium II tris(bathophenanthroline disulfonate) (RuBPs)) to perform proteome analysis of nodular thyroid disease. We first compared the properties of RuBPs with two highly sensitive protein stains: (1) silver staining and (2) the commercially available fluorescent dye Sypro Ruby. We show that in addition to its highly sensitive staining capabilities similar to Sypro Ruby and silver (2 ng), RuBPs offers several advantages such as a broad dynamic range (similar to Sypro Ruby and 500 times broader than the dynamic range of silver stain), low costs ( 0.03 per gel) and excellent compatibility with mass spectrometry. We then applied the inexpensive RuBPs stain to 2D gels (pH 4-7) of four benign thyroid nodules and normal thyroid tissue. We were able to detect approximately 1800 protein spots/gel in our thyroid samples. Quantitative changes in protein expression levels of at least 20-42 proteins were noted in the benign nodules compared with the normal thyroid tissue of the same patient. Differentially expressed spots were further characterised by nano-LC-FTICR and MALDI-TOF mass spectrometry. In summary we demonstrate, that the novel fluorescent ruthenium II tris(bathophenanthroline disulfonate) stain is a highly sensitive, reliable and inexpensive tool for quantitative proteome analysis in thyroid nodular disease.

Dextrans↗
PubMed2005

First analysis of the proteome in two nematomorph species, Paragordius tricuspidatus (Chordodidae) and Spinochordodes tellinii (Spinochordodidae).

The proteome of most parasite species is currently unknown. Hairworms (Nematomorpha), 300 species distributed around the world, are parasitic in arthropods (mainly terrestrial species) when juveniles, but they are free-living in aquatic environments when adult. Most aspects of their systematics and biology are currently unknown. The aim of this paper was (i) to report a novel and reproducible protocol for the analysis of the proteome of hairworms using two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (matrix laser desorption ionization-time of flight mass spectrometry (MALDI-TOF)) and (ii) to determine the level of proteomic divergence between two sympatric but taxonomically unrelated nematomorph species in the adult stage, Paragordius tricuspidatus Dufour (Nematomorpha, Gordiidae) and Spinochordodes tellinii Camerano (Nematomorpha, Gordiidae). In total, 689 protein spots were observed for P. tricuspidatus, 575 for S. tellinii. Only 36.2% spots were shared between the two species. Quantitative analysis of the proteins which are common to both parasite species reveals substantial differences in the pattern of protein expression. These results suggest a rapid evolutionary divergence between these two nematomorph families. Also, to test the value of our MALDI-TOF protocol, we used Actin-2 (Act-2), a protein highly conserved in the course of evolution. Peptide mass fingerprint (PMF) data obtained for Act-2 of P. tricuspidatus and S. tellinii suggest a very high homology with Act-2 of different worms species belonging to the Bilateria phylum (Annelida and Nematoda) and more specifically to Lumbricus terrestris (Annelida, Lumbricidae) and Caenorhabditis elegans (Nematoda, Rhabditidae). We discuss our results in relationship with current ideas concerning the use of proteomics in systematics.

Animals↗
PubMed2006

Proteomic analyses of murine macrophages treated with Bacillus anthracis lethal toxin.

Bacillus anthracis is the etiological agent of anthrax and the bacterium produces a tripartite anthrax toxin composed of protective antigen (PA), lethal factor (LF) and edema factor (EF). PA represents the binding domain of the toxin and acts in concert with either LF, a metalloprotease, or EF, an adenylate cyclase, to form lethal toxin (LeTx) or edema toxin (EdTx), respectively. We analyzed the proteomics response of two murine macrophage cell lines (J774.1A and RAW264.7) following B. anthracis LeTx treatment to detect unique host proteins involved in anthrax infection using difference in-gel electrophoresis (DIGE) followed by nanoLC-MS for identification of the proteins. The comparative proteomics approach identified a set of proteins in each cell line that was consistently upregulated when the two macrophage cell lines were treated with LeTx. The upregulated proteins include those involved in energy metabolism, cytoskeleton structure and stress response. A subset of five proteins (ATP synthase beta subunit, beta-actin, Hsp70, vimentin, and Hsp60 homolog) was identified that were commonly upregulated in both cell lines. The proteomic data suggest the involvement of reactive oxygen species (ROS) in cell lysis as seen by the upregulation of proteins that lead to the production of ROS in both the cell lines used in our study. However, proteins that afford protection against ROS may play an important role in the survival of the macrophage to LeTx infection as shown by the differences in proteomic responses of the two cell lines to the action of LeTx. These identified proteins may have the potential to be used as biomarkers for diagnostics and therapeutics.

Animals↗
PubMed2005

Correlation of proteomic and transcriptomic profiles of Staphylococcus aureus during the post-exponential phase of growth.

A combined proteomic and transcriptomic analysis of Staphylococcus aureus strain N315 was performed to study a sequenced strain at the system level. Total protein and membrane protein extracts were prepared and analyzed using various proteomic workflows including: 2-DE, SDS-PAGE combined with microcapillary LC-MALDI-MS/MS, and multidimensional liquid chromatography. The presence of a protein was then correlated with its respective transcript level from S. aureus cells grown under the same conditions. Gene-expression data revealed that 97% of the 2'596 ORFs were detected during the post-exponential phase. At the protein level, 23% of these ORFs (591 proteins) were identified. Correlation of the two datasets revealed that 42% of the identified proteins (248 proteins) were amongst the top 25% of genes with highest mRNA signal intensities, and 69% of the identified proteins (406 proteins) were amongst the top 50% with the highest mRNA signal intensities. The fact that the remaining 31% of proteins were not strongly expressed at the RNA level indicates either that some low-abundance proteins were identified or that some transcripts or proteins showed extended half-lives. The most abundant classes identified with the combined proteomic and transcriptomic approach involved energy production, translational activities and nucleotide transport, reflecting an active metabolism. The simultaneous large-scale analysis of transcriptomes and proteomes enables a global and holistic view of the S. aureus biology, allowing the parallel study of multiple active events in an organism.

Bacterial Proteins↗
PubMed2004

Proteomic approaches in cancer risk and response assessment.

Proteomics is more than just a list-generating exercise where increases or decreases in protein expression are identified. Proteomic technologies will ultimately characterize information-flow through the protein circuitry that interconnects the extracellular microenvironment to the serum or plasma macroenvironment through intracellular signaling systems and their control of gene transcription. The nature of this information can be a cause or a consequence of disease processes and how patients respond to therapy. Analysis of human cancer as a model for how proteomics can have an impact at the bedside can take advantage of several promising new proteomic technologies. These technologies are being developed for early detection and risk assessment, therapeutic targeting and patient-tailored therapy.

Biomarkers, Tumor↗
PubMed2006

Redox proteomics in some age-related neurodegenerative disorders or models thereof.

Neurodegenerative diseases cause memory loss and cognitive impairment. Results from basic and clinical scientific research suggest a complex network of mechanisms involved in the process of neurodegeneration. Progress in treatment of such disorders requires researchers to better understand the functions of proteins involved in neurodegenerative diseases, to characterize their role in pathogenic disease mechanisms, and to explore their roles in the diagnosis, treatment, and prevention of neurodegenerative diseases. A variety of conditions of neurodegenerative diseases often lead to post-translational modifications of proteins, including oxidation and nitration, which might be involved in the pathogenesis of neurodegenerative diseases. Redox proteomics, a subset of proteomics, has made possible the identification of specifically oxidized proteins in neurodegenerative disorders, providing insight into a multitude of pathways that govern behavior and cognition and the response of the nervous system to injury and disease. Proteomic analyses are particularly suitable to elucidate post-translational modifications, expression levels, and protein-protein interactions of thousands of proteins at a time. Complementing the valuable information generated through the integrative knowledge of protein expression and function should enable the development of more efficient diagnostic tools and therapeutic modalities. Here we review redox proteomic studies of some neurodegenerative diseases.

Aged↗
PubMed2006

Translational proteomics: developing a predictive capacity -- a review.

Over the past decade, proteomics has undergone a rapid development and radiation, diversifying across the biochemical landscape. While no single technique yet delivers complete proteomic coverage, application-specific adaptations afford significant opportunity for discovery and the development of predictive capacity (e.g. surrogate biomarker and clinical diagnostics). Targeted proteomic approaches, protein profiling strategies using affinity capture mass spectrometry and solution array represent realistic opportunities to deliver predictive capacity. The aim of this review is to provide an overview of proteomic technologies and how the outcomes delivered by such platforms may be translated into applications of predictive utility in clinical and basic science. In particular, recent applications in protein/peptide profiling (solid-phase affinity capture mass spectrometry and the targeted approach of antibody arrays) and the opportunities they afford researchers within the discipline of reproductive biology to develop new diagnostic and prognostic tests and surrogate biomarkers to improve the delivery of women's health care are considered.

Animals↗
PubMed2004

Proteomics in cancer cell research: an analysis of therapy resistance.

Proteomics, the global analysis of expressed cellular proteins, provides powerful tools for the detailed comparison of proteins from normal and neoplastic tissue. In particular, cancer cell culture models are suited for applying proteomics techniques, such as two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry, to identify specific protein expression profiles and/or proteins that may be associated with a defined phenotype of the cancer cells. As an instance of such an application of proteomics techniques, the detailed proteome analyses of different drug-resistant and thermoresistant cancer cell lines will be discussed. Finally, the potential roles of newly identified factors in a distinct biological mechanism have to be proven by functional studies. This experimental validation strategy will be discussed for two different factors identified by 2D-PAGE analyses of drug-resistant carcinoma cell lines, the "transporter associated with antigen presentation 1" (TAP1) and 14-3-3sigma.

Biomarkers, Tumor↗
PubMed2004

Proteomics in myocardial diseases.

Recently, proteome analysis has been introduced to analyze differential protein expression and cellular protein composition in cardiovascular medicine. Proteins expressed by diseased hearts (myocardial proteomics) were first investigated over a decade ago using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). However, while 2D-PAGE is very successful for the abundant and moderately expressed proteins, it struggles to identify proteins expressed at low levels. However, the sensitivity of mass spectrometry has increased considerably during recent years, and technical progress widens the detection limits of mass-spectrometric analysis. Proteomics now allows us to examine global alterations in protein expression in the diseased hearts, and will provide new insights into the cellular mechanisms involved in cardiac dysfunction. This review will summarize the present knowledge about the use of proteome analysis in myocardial diseases.

Cardiomyopathies↗
PubMed2004

Array technology and proteomics in autoimmune diseases.

Two new technologies (tissue microarrays (TMAs) and proteomics) have generated a great amount of data in life science. High-density TMAs allow for the simultaneous analysis of proteins and RNA by various methods (immunohistochemistry, in situ hybridization, FISH) on a large scale and under highly standardized conditions. Proteomics includes a variety of techniques that are partly high throughput. These techniques aim at the innovation of proteins, the description of the domain structure, the determination of protein sequences and epitope characterization, and ultimately the definition of protein function and protein reactivities in immunologic processes. Proteins that have been characterized accordingly require validation mostly at the morphologic level of defined tissue, linking proteomics to TMAs. In autoimmune diseases, array-based antigenic fingerprinting of autoantibodies will drive the development and the selection of antigen-specific diagnostic tools and therapies. The powerful combination of genomics and proteomics formed in tissue arrays has the potential to change the way the biology of autoimmunity is studied. Novel targets of drug discovery, based on antigen-specific therapies to induce anergy, or regulatory T-cells using the targeted autoantigens of individual patients could be developed in the coming decades.

Autoimmune Diseases↗
PubMed2005

Proteomics in rheumatology: a new direction for old diseases.

OBJECTIVES: Completion of the human genome project has stimulated scientists to begin looking for the next step in unraveling normal and abnormal functions within biological systems. Consequently, there is new focus on the role of proteins in these processes. Proteomics is a rapidly growing field that may provide a valuable approach to evaluate the field of rheumatology. The objectives of this article is to provide an overview of biophysical techniques, as "re-invented" research tools, as applied to the investigation of rheumatoid arthritis and osteoarthritis. METHODS: MEDLINE search of articles in English-language journals from 1966 to 2004. The index words "Rheumatoid/osteoarthritis/connective tissue disorders" and the following co-indexing terms were used: "mass spec," "NMR," "SPR" and "Proteomics." Papers identified were reviewed, abstracted, and summarized. The authors' own work in the field is also presented. RESULTS: As we move into the postgenomics era, new and exciting tools are being developed to study protein expression and protein interactions and identify new biomarkers for disease diagnosis and prognosis. Proteomics is an emerging field with widespread potential applications to rheumatic disease. CONCLUSIONS: In this review the biophysical techniques of nuclear magnetic resonance, mass spectroscopy, and surface plasmon resonance as proteomic tools in the study of rheumatoid and osteoarthritis were reviewed. What is emerging is the identification of new biomarkers with clinical and therapeutic relevance.

Arthritis, Rheumatoid↗
PubMed2006

Proteomics: applications relevant to transfusion medicine.

With the completion of the human genome sequence, it is now possible to analyze the many individual components that comprise complex biologic systems. Despite this sequence data, understanding the biologic relationships of all proteins of a given cell or biologic sample (the proteome) is still an exceedingly difficult task. However, new technology developments mean that proteomics research can be used to investigate a variety of biologic systems. Already, these studies have given valuable insight for the development of improved diagnostic and therapeutic products. The present review aims to provide a basic understanding of proteomics research by discussing the methods used to study large numbers of proteins and by reviewing the application of proteomics methods to transfusion medicine.

Blood Proteins↗