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Characterization of the human pancreatic islet proteome by two-dimensional LC/MS/MS.

The pancreatic beta-cell plays a central role in the maintenance of glucose homeostasis and in the pathogenesis of both type 1 and type 2 diabetes mellitus. Elucidation of the insulin secretory defects observed in diabetes first requires a better understanding of the complex mechanisms regulating insulin secretion, which are only partly understood. While there have been reports detailing proteomic analyses of islet cell lines or isolated rodent islets, the information gained is not always applicable to humans. Therefore, definition of the human islet proteome could contribute to a better understanding of islet biology and lead to more effective treatment strategies. We have applied a two-dimensional LC-MS/MS-based analysis to the characterization of the human islet proteome, resulting in the confident identification of 29,021 different tryptic peptides covering 3365 proteins (> or =2 unique peptide identifications per protein). As expected, the three major islet hormones (insulin, glucagon, and somatostatin) were detected, as well as various beta-cell enriched secretory products, ion channels, and transcription factors. In addition, significant proteome coverage of metabolic enzymes and cellular pathways was observed, including the integrin signaling cascade and the MAP kinase, NF-kappa beta, and JAK/STAT pathways. The resulting peptide reference library provides a resource for future higher throughput and quantitative studies of islet biology.

Chromatography, Liquid↗

Global profiling of surface plasma membrane proteome of oviductal epithelial cells.

In mammalian reproduction, many important events occur within the female reproductive tract, especially within the oviduct. These include transport and final maturation of the female and male gametes, fertilization, embryonic development, and transport of the embryo to the uterus. The plasma membrane molecules of oviductal epithelia that are in direct contact with gametes and embryo(s) and potentially mediate these processes are poorly characterized, and their function is poorly understood. Defining the oviductal cell surface proteome could provide a better understanding of the basis of reproductive processes taking place within the oviduct. We aimed to provide a detailed profile of the surface plasma membrane proteome of the oviductal epithelium by biotinylation of proteins at the cell surface, followed by highly specific purification of these proteins using avidin. This approach for enrichment of oviductal cell surface proteome was validated by immunohistochemistry, gel electrophoresis, and western blot analysis experiments. The enriched molecules were identified using two different technologies: (i) the combination of 2D gel electrophoresis with mass spectrometry and (ii) 1D gel electrophoresis with mass spectrometry (a modified multidimensional protein identification technology (MudPIT) technique). The number of proteins identified using the MudPIT approach was approximately 7 times the number of proteins identified by 2D gel electrophoresis using the same samples (40 versus 276, respectively). Some of the proteins found at the surface of oviductal cells had previously been reported as present in the oviduct and to have known functions in relation to reproductive processes. The other category of proteins that were highly represented in the oviductal surface proteome were various members of the family of heat-shock proteins. To the best of our knowledge, this is the first comprehensive study to identify and characterize proteins at the surface of the epithelium of the mammalian oviduct.

Animals↗

Proteomic characterization of metabolites, protein adducts, and biliary proteins in rats exposed to 1,1-dichloroethylene or diclofenac.

A proteome profiling approach was used to compare effects of two toxicants, 1,1-dicloroethylene (DCE) and diclofenac, which covalently adduct hepatic proteins. Bile was examined as a potential source of protein alterations since both toxicants target the hepatic biliary canaliculus. Bile was collected before and after toxicant treatment. Biliary proteins were separated by one-dimensional SDS-PAGE and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS-MS) with data-dependent scanning. Comprehensive analysis of biliary proteins was performed by using SEQUEST and BLAST database searching, in combination with de novo interpretation. Bile not subjected to tryptic digestion was analyzed for DCE metabolites. DCE treatment resulted in a marked increase in the overall number of biliary proteins, whereas few changes in the proteomic profile were apparent in bile after diclofenac treatment. This is consonant with prior observations of more profound effects of DCE on canalicular membrane integrity. LC-MS-MS analyses for DCE metabolites revealed the presence of S-carboxymethyl glutathione, S-(cysteinylacetyl)glutathione, and a product of the intramolecular rearrangement of the DCE metabolite, ClCH(2)COSG, not previously described in vivo. In addition, several S-carboxymethylated proteins were identified in bile from DCE-treated animals. This investigation has produced the first comprehensive baseline characterization of the content of the rat biliary proteome and the first documentation of alterations in the proteome of bile by toxicant treatment. In addition, the results provide direct in vivo evidence for DCE metabolic routes proposed in the formation of covalent adducts.

Animals↗

Proteomic approach for the elucidation of biological defects in autism.

Proteomic-based approaches, which examine expressed proteins in tissues or cells, have great potential in the elucidation of biological defects in heterogeneous neurodevelopmental disorders such as autism. In this approach, tissue or cellular proteins from control and affected subjects are separated on two-dimensional (2-D) polyacrylamide gel electrophoresis, and those proteins that show marked changes in the concentration between control and affected subjects are identified by mass spectroscopy. This method has been successfully applied in the elucidation of the molecular biological defect in classic late-infantile neuronal ceroid lipofuscinosis (Sleat et al., 1997). Unlike the classical methods of genome-wide screening for chromosomal localization followed by positional cloning, the proteomic approach requires limited number of tissue samples and the study can be completed in a relatively short time. Currently, these methods are available for relatively abundant proteins and generally are not applicable for hydrophobic proteins because 2-D gel electrophoresis is not very effective in the analysis of hydrophobic proteins. The genetic defect results in either total loss of proteins or changes in molecular weight and/or isoelectric point will be detectable by the proteomic method. Because autism is a neurogenetic disorder, brain is the tissue of choice for proteomic study. For an oligogenic disorder such as autism, at least some of the aberrant (genes) proteins may be identified by this technology.

Autistic Disorder↗

Proteomics in studies of signal transduction in epithelial cells.

An understanding of the complexity of cancer is important for correct diagnostics and efficient treatment of this disease. Recent developments of proteomics technologies allow us to address the complexity of tumorigenesis at a level of global protein profiling. This review discusses recent studies of signaling processes in cells of epithelial origin undertaken with the use of global protein profiling. Tumors of epithelial origin comprise about 90% of human breast cancers, and it is believed that transformation of breast epithelial cells shares common features of transformation with other mammalian cells: destabilization of the genome followed by acquisition of immortalization, unrestricted growth, evasion of death-inducing signals, and acquisition of invasive and tumor promoting characteristics. Functional proteomics of growth-promoting, growth-inhibiting, and pro-apoptotic signaling pathways, in combination with proteomics studies of breast epithelial cell differentiation and profiling of breast tumorigenesis, revealed groups of regulated proteins: structural components, stress-regulated proteins, regulators of transcription, translation and RNA processing, and regulators of posttranslational modifications, e.g., kinases, phosphatases, and proteases. The first lesson of proteomics studies is the discovery of significant number of new targets, as compared to total number of affected proteins. The second lesson is the poor correlation between expressions of proteins and their mRNAs. The third lesson is the low amplitude of protein changes compared to that observed for mRNA. These observations also recommend the analysis of signaling patterns rather than separate signaling pathways.

Animals↗

The application of 2D gel-based proteomics methods to the study of breast cancer.

The protein complement of breast cells consists of many thousands of proteins. Recent developments in 2D gel electrophoresis technology have made studies requiring the quantitative analysis of a differential proteome, such as comparison between normal and malignant cells or investigation of drug effects on cells, truly feasible. Computer software plays a central part in the comparisons between multiple gels required for such experiments. In addition, software tools allow patterns of coexpression of proteins to be studied, offering potential insights into protein regulation, interactions, and functions, especially when combined with complementary data on gene expression. In this paper, the technology and limitations of 2D gel-based proteomics are reviewed. Techniques for comparing sets of gels at a global level as well as identifying specific protein features that differentiate gels are discussed. Our own experience of studying the breast cell proteome is used to illustrate the difficulties and achievements of differential proteomics.

Breast Neoplasms↗

Proteomics approaches to uncover the repertoire of circulating biomarkers for breast cancer.

There is substantial interest in applying proteomics to cancer biomarker discovery. Proteomics is particularly suited for profiling biological fluids and uncovering circulating markers and is currently being applied to the identification of novel biomarkers for breast cancer. Novel proteomic approaches include direct profiling of serum using mass spectrometry, application of a variety of strategies to harness immunity for cancer diagnosis, protein tagging to capture subproteomes rich in diagnostic markers, the use of protein microarrays, and the use of multi-dimensional liquid protein separation technologies for comprehensive profiling of serum and other biological fluids. It is likely that the application of a wide range of proteomics tools to breast cancer will yield a panel of markers that have utility for breast cancer diagnosis.

Autoantibodies↗

Proteomics: a link between genomics, genetics and physiology.

Thanks to spectacular advances in the techniques for identifying proteins separated by two-dimensional electrophoresis and in methods for large-scale analysis of proteome variations, proteomics is becoming an essential methodology in various fields of plant biology. In the study of pleiotropic effects of mutants and in the analysis of responses to hormones and to environmental changes, the identification of involved metabolic pathways can be deduced from the function of affected proteins. In molecular quantitative genetics, proteomics can be used to map translated genes and loci controlling their expression, which can be used to identify proteins accounting for the variation of complex phenotypic traits. Linking gene expression to cell metabolism on the one hand and to genetic maps on the other, proteomics is a central tool for functional genomics.

Genomics↗

Proteomics for protein expression profiling in neuroscience.

As the technology of proteomics moves from a theoretical approach to a practical reality, neuroscientists will have to determine the most appropriate applications for this technology. Neuroscientists will have to surmount difficulties particular to their research, such as limited sample amounts, heterogeneous cellular compositions in samples, and the fact that many proteins of interest are rare, hydrophobic proteins. This review examines protein isolation and protein fractionation and separation using two-dimensional electrophoresis (2-DE) and mass spectrometry proteomic methods. Methods for quantifying relative protein expression between samples (e.g., 2-DIGE, and ICAT) are also described. The coverage of the proteome, ability to detect membrane proteins, resource requirements, and quantitative reliability of different approaches is also discussed. Although there are many challenges in proteomic neuroscience, this field promises many rewards in the future.

Animals↗

Proteomics in pathology research.

Proteomics is a multifaceted approach to study various aspects of protein expression, post-translational modification, interactions, organization and function at a global level. While DNA constitutes the 'information archive of the genome', it is the proteins that actually serve as the functional effectors of cellular processes. Thus, analysis of protein derangements on a proteome-wide scale will reveal insights into deregulated pathways and networks involved in the pathogenesis of disease. Although the field of proteomics has advanced tremendously in recent years, there are significant technical challenges that pose limitations to the routine application of mass spectrometry to clinical research. Despite these challenges, proteomic studies have yielded unparalleled information and understanding of the cellular biology of diseased states. The application of mass spectrometry to the study of diseases will ultimately lead to identification of biomarkers that are critical for the detection, diagnosis, prognosis and treatment of specific disease entities.

Biomedical Research↗

Biomedical informatics for proteomics.

Success in proteomics depends upon careful study design and high-quality biological samples. Advanced information technologies, and also an ability to use existing knowledge to the full, will be crucial in making sense of the data. Despite its genome-scale potential, proteome analysis is at a much earlier stage of development than genomics and gene expression (microarray) studies. Fundamental issues involving biological variability, pre-analytic factors and analytical reproducibility remain to be resolved. Consequently, the analysis of proteomics data is currently informal and relies heavily on expert opinion. Databases and software tools developed for the analysis of molecular sequences and microarrays are helpful, but are limited owing to the unique attributes of proteomics data and differing research goals.

Biomedical Research↗

Is proteomics heading in the wrong direction?

Proteomics is now considered to be one of the most important 'post-genome' approaches to help us understand gene function. In fact, several genomics companies have launched large-scale proteomics projects, and have started to annotate the entire human proteome. The 'holistic view' painted by a human proteome project is seductive, but is it realistic?

Animals↗

Comparative proteome analysis of the hippocampus implicates chromosome 6q in schizophrenia.

Comparative brain proteome analysis is a new strategy to discover proteins and therefore genes whose altered expression may underlie schizophrenia. This strategy does not require an a priori theory of the pathogenesis or the mode of inheritance of schizophrenia. Using proteome analysis we previously compared the hippocampal proteome, that is, those proteins expressed by the hippocampal genome, of seven schizophrenic individuals with the hippocampal proteome of seven control individuals, matched for age and post mortem delay.1 We found 18 proteins that were significantly altered in concentration in the schizophrenic hippocampus (P < 0.05), when compared to control tissue. One of these proteins was characterised, by N-terminal sequencing, as diazepam binding inhibitor whose gene maps to 6q12-q21. Here we characterise a further three of the 18 proteins as: manganese superoxide dismutase, 6q25.3, T-complex protein 1, 6q25.3-q26 and collapsin response mediator protein 2, 8p21. That three of these four characterised proteins should map to the long arm of the same chromosome is significant (P < 0.002) and suggests the importance of chromosome 6q in schizophrenia. These results indicate that antioxidant defence is altered in the schizophrenic hippocampus and suggest that segregation distortion, of schizophrenia susceptibility genes, may be a possible causative factor in the high incidence of schizophrenia. Molecular Psychiatry (2000) 5, 85-90.

Carrier Proteins↗

Gene expression signatures and biomarkers of noninvasive and invasive breast cancer cells: comprehensive profiles by representational difference analysis, microarrays and proteomics.

We have characterized comprehensive transcript and proteomic profiles of cell lines corresponding to normal breast (MCF10A), noninvasive breast cancer (MCF7) and invasive breast cancer (MDA-MB-231). The transcript profiles were first analysed by a modified protocol for representational difference analysis (RDA) of cDNAs between MCF7 and MDA-MB-231 cells. The majority of genes identified by RDA showed nearly complete concordance with microarray results, and also led to the identification of some differentially expressed genes such as lysyl oxidase, copper transporter ATP7A, EphB6, RUNX2 and a variant of RUNX2. The altered transcripts identified by microarray analysis were involved in cell-cell or cell-matrix interaction, Rho signaling, calcium homeostasis and copper-binding/sensitive activities. A set of nine genes that included GPCR11, cadherin 11, annexin A1, vimentin, lactate dehydrogenase B (upregulated in MDA-MB-231) and GREB1, S100A8, amyloid beta precursor protein, claudin 3 and cadherin 1 (downregulated in MDA-MB-231) were sufficient to distinguish MDA-MB-231 from MCF7 cells. The downregulation of a set of transcripts for proteins involved in cell-cell interaction indicated these transcripts as potential markers for invasiveness that can be detected by methylation-specific PCR. The proteomic profiles indicated altered abundance of fewer proteins as compared to transcript profiles. Antisense knockdown of selected transcripts led to inhibition of cell proliferation that was accompanied by altered proteomic profiles. The proteomic profiles of antisense transfectants suggest the involvement of peptidyl-prolyl isomerase, Raf kinase inhibitor and 80 kDa protein kinase C substrate in mediating the inhibition of cell proliferation.

Biomarkers, Tumor↗

Proteomics for the early detection and treatment of hepatocellular carcinoma.

The prognosis for hepatocellular carcinoma (HCC) is poor and has not improved in recent years, largely owing to lack of early diagnosis, frequent recurrence after surgery and resistance to chemotherapy. Proteomics holds the promise of improving our understanding of HCC carcinogenesis and progression as well as of discovering novel diagnostics and therapeutics. Proteomic analyses of HCC cell lines, animal models and serum and tumor tissue from patients with HCC have been performed to date. Proteomic technologies have greatly improved in the past few years as reviewed here. It is anticipated that with the recent development of protein tagging, protein separation methods and mass spectrometry sensitivity, proteomic studies of HCC will allow the identification of diagnostic and prognostic biomarkers as well as therapeutic targets, which could greatly improve the clinical management of HCC patients.

Animals↗

Proteome analysis of prostate cancer.

In this paper, we briefly review cancer proteomics in general, with particular attention to our proteome analyses of prostate cancer. Our efforts include development of new tools and novel approaches to discovering proteins potentially useful as cancer diagnostic and/or prognostic biomarkers or as therapeutic targets. To this end, we analyzed prostate cancer proteomes using two-dimensional gel electrophoresis employing agarose gels for the initial isoelectric focusing step (agarose 2-DE), with mass spectrometry used for protein identification. Agarose 2-DE offers advantages over the more widely used immobilized pH gradient 2-DE for separating high molecular mass proteins (15-500 kDa), thereby increasing its power to detect changes in the cancer's high-molecular mass proteomes.

Biomarkers, Tumor↗

An integrated digital microfluidic chip for multiplexed proteomic sample preparation and analysis by MALDI-MS.

To realize multiplexed sample preparation on a digital microfluidic chip for high-throughput Matrix Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS), several fluidic functions need to be integrated. These include the generation of multiple droplets from a reservoir and parallel in-line sample purification. In this paper, we develop two critical new functions in handling protein solutions and standard proteomic reagents with electrowetting-on-dielectric (EWOD) actuation, leading to an integrated chip for multiplexed sample preparation for MALDI-MS. The first is a voltage sequence designed to generate a series of droplets from each of the three reservoirs--proteomic sample, rinsing fluid, and MALDI reagents. It is the first time that proteomic reagents have been dispensed using EWOD in an air (as opposed to oil) environment. The second is a box-in-box electrode pattern developed to allow droplet passing over dried sample spots, making the process of in-line sample purification robust for parallel processing. As a result, parallel processing of multiple sample droplets is demonstrated on the integrated EWOD-MALDI-MS chip, an important step towards high-throughput MALDI-MS. The MS results, collected directly from the integrated devices, are of good quality, suggesting that the tedious process of sample preparation can be automated on-chip for MALDI-MS applications as well as other high-throughput proteomics applications.

Angiotensin II↗

The synapse proteome and phosphoproteome: a new paradigm for synapse biology.

Synapse proteomics has recently resulted in a quantum leap in knowledge of the protein composition of brain synapses and its phosphorylation. We now have the first draft picture of the synapse, comprising approximately 1000 proteins. This is not matched by available methods of functional analysis either in reduced systems or in whole animals. Fewer than 20% of synapse proteome proteins have a known function in the nervous system. A concerted effort is required to establish new technical approaches before we can understand the diversity of functions conferred by the synapse proteome on the synapse, the neuron and the animal. This review will highlight this change in knowledge and discuss current technical and interpretative limitations challenged by synapse proteomics.

Animals↗