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PubMedDate not supplied

Proteomic analysis of differential protein expression in atherosclerosis.

Although recent studies have shown that several pro-inflammatory proteins can be used as biomarkers for atherosclerosis, the mechanism of atherogenesis is unclear and little information is available regarding proteins involved in development of the disease. Atherosclerotic tissue samples were collected from patients in order to identify the proteins involved in atherogenesis. The protein expression profile of atherosclerosis patients was analysed using two-dimensional electrophoresis-based proteomics. Thirty-nine proteins were detected that were differentially expressed in the atherosclerotic aorta compared with the normal aorta. Twenty-seven of these proteins were identified in the MS-FIT database. They are involved in a number of biological processes, including calcium-mediated processes, migration of vascular smooth muscle cells, matrix metalloproteinase activation and regulation of pro-inflammatory cytokines. Confirmation of differential protein expression was performed by Western blot analysis. Potential applications of the results include the identification and characterization of signalling pathways involved in atherogenesis, and further exploration of the role of selected identified proteins in atherosclerosis.

Aortic Diseases↗
PubMed2006

Material-enhanced laser desorption/ionization (MELDI)--a new protein profiling tool utilizing specific carrier materials for time of flight mass spectrometric analysis.

Over the past couple of years, proteomics pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian, breast, or prostate cancer, without identification of single biomarkers. MALDI-TOF MS, for example, offers a simple approach for fast and reliable protein profiling, especially by using carrier materials with various physical and chemical properties, in combination with a MALDI matrix. This approach is referred to as material-enhanced laser desorption/ionization (MELDI). In this paper, we report the development and application of derivatized carrier materials [cellulose, silica, poly(glycidyl methacrylate/divinylbenzene) (GMA/DVB) particles, and diamond powder] for fast and direct MALDI-TOF MS protein profiling. The applicability of MELDI for rapid protein profiling was evaluated with human serum samples. These carriers, having various hydrophobicities, resulted in characteristic mass fingerprints, even if all materials were derivatized with iminodiacetic acid (IDA) to yield an immobilized metal affinity chromatography (IMAC) functionality. Our study demonstrates that analyzing complex biological samples, such as human serum, by employing different MELDI carrier materials yielded type- and size-dependent performance variation.

Indicators and Reagents↗
PubMed2004

Application of the GA/KNN method to SELDI proteomics data.

SUMMARY: Proteomics technology has shown promise in identifying biomarkers for disease, toxicant exposure and stress. We show by example that the genetic algorithm/k-nearest neighbors method, developed for mining high-dimensional microarray gene expression data, is also capable of mining surface enhanced laser desorption/ionization-time-of-flight proteomics data. AVAILABILITY: The source code of the program and documentation on how to use it are freely available to non-commercial users at http://dir.niehs.nih.gov/dirbb/lifiles/softlic.htm

Algorithms↗
PubMed2003

A global analysis of protein expression profiles in Sinorhizobium meliloti: discovery of new genes for nodule occupancy and stress adaptation.

A proteomic examination of Sinorhizobium meliloti strain 1021 was undertaken using a combination of 2-D gel electrophoresis, peptide mass fingerprinting, and bioinformatics. Our goal was to identify (i) putative symbiosis- or nutrient-stress-specific proteins, (ii) the biochemical pathways active under different conditions, (iii) potential new genes, and (iv) the extent of posttranslational modifications of S. meliloti proteins. In total, we identified the protein products of 810 genes (13.1% of the genome's coding capacity). The 810 genes generated 1,180 gene products, with chromosomal genes accounting for 78% of the gene products identified (18.8% of the chromosome's coding capacity). The activity of 53 metabolic pathways was inferred from bioinformatic analysis of proteins with assigned Enzyme Commission numbers. Of the remaining proteins that did not encode enzymes, ABC-type transporters composed 12.7% and regulatory proteins 3.4% of the total. Proteins with up to seven transmembrane domains were identified in membrane preparations. A total of 27 putative nodule-specific proteins and 35 nutrient-stress-specific proteins were identified and used as a basis to define genes and describe processes occurring in S. meliloti cells in nodules and under stress. Several nodule proteins from the plant host were present in the nodule bacteria preparations. We also identified seven potentially novel proteins not predicted from the DNA sequence. Post-translational modifications such as N-terminal processing could be inferred from the data. The posttranslational addition of UMP to the key regulator of nitrogen metabolism, PII, was demonstrated. This work demonstrates the utility of combining mass spectrometry with protein arraying or separation techniques to identify candidate genes involved in important biological processes and niche occupations that may be intransigent to other methods of gene expression profiling.

Adaptation, Physiological↗
PubMed2006

Proteome analysis of human liver carcinoma Huh7 cells harboring hepatitis C virus subgenomic replicon.

Chronic infection by hepatitis C virus (HCV) is closely correlated with serious liver diseases. Although considerable progress has been made during recent years, the mechanism of replication and pathogenesis of HCV infection are still elusive. We have applied proteomic techniques in this work to globally analyze the protein expression profiles of a human liver cell lines Huh7 in absence and presence of HCV replication, aiming at elucidating the components of HCV replication and the cellular responses to HCV replication. The protein mixtures of three subcellular fractions from Huh7 and Huh7-HCV were separated by 2-DE under various pH gradients. Differentially expressed spots were identified by MALDI-TOF MS, followed by database searching. A total of 179 comparative proteins were identified unambiguously, including proteins associated with host cytoskeleton, intracellular traffic, oxidative and ER stress, proteasome degradation, translation, apoptosis, proliferation, etc. Host proteins known to interact with HCV proteins, such as HSP27, alpha-actinin, nucleolin and eukaryotic initiation factor 4A-I, were elevated in Huh7-HCV cells. Our study provides the global information of proteomic alteration of Huh7 cells in the presence of HCV replication and the clues for further understanding of the mechanism of HCV replication and pathogenesis.

Carcinoma, Hepatocellular↗
PubMed2003

Proteomic analysis of differential protein expression induced by ultraviolet light radiation in HeLa cells.

Cells treated with ultraviolet (UV) radiation undergo cell cycle arrest at the S-phase and G1/S boundary, allowing DNA repair to occur. Several proteins such as replication protein A and DNA-dependent protein kinase have been suggested to be involved in UV-induced inhibition of DNA replication. However, the role of these proteins in inhibiting DNA replication remains unknown. Other proteins may play important roles in modulating functions of these proteins in response to UV-irradiation. To understand the broad range of proteins involved in this inhibition, we carried out a systematic study to identify specific proteins involved in UV-induced replication arrest using two-dimensional gel electrophoresis and mass spectrometry. Unique changes in protein expression level for 31 proteins were observed over a 24-hour time course, including calgizzarin, cyclophilin A, and macrophage migration inhibitory factor. The expression level changes of these proteins are dynamically correlated to DNA replication activity, suggesting involvement of these proteins in modulating DNA replication and repair activities. This proteomic approach provides opportunities to gain insights into the mechanism by which DNA replication is inhibited.

DNA Repair↗
PubMed2003

In vivo proteomic analysis of cytokine expression in laser capture-microdissected urothelial cells of obstructed ureteropelvic junction procured by laparoscopic dismembered pyeloplasty.

BACKGROUND AND PURPOSE: Ureteropelvic junction obstruction (UPJO) is defined as an impediment to urinary flow from the renal pelvis into the ureter. The exact cause remains an enigma despite investigations along embryologic, anatomic, and histologic lines. Our goal was to investigate in vivo the expression profile of cytokines in hyperplastic urothelial cells as a means of determining the source of UPJO. MATERIALS AND METHODS: Cellular proteomes of matched normal and hyperplastic urothelial cells were analyzed by laser capture microdissection (LCM) and tissue microdissection and human cytokine proteomic chips. All specimens (N = 9) were surgically obtained from patients undergoing laparoscopic dismembered pyeloplasty and were immediately embedded in O.C.T. solution and flash-frozen in liquid nitrogen. Tissue sections (6 microm) were mounted on uncoated glass slides using a cryostat, fixed in 70% ethanol, stained with hematoxylin and eosin, and sequentially dehydrated in ethanol and xylene. Typically, paired samples of normal and hyperplastic urothelial cells were procured on separate caps from serial sections of each specimen by the Arcturus PixCell II LCM system using 3000 laser pulses and a spot diameter of 30 microm. Total proteins were harvested and quantitated. Differential expression profile analysis of 43 cytokines in normal and hyperplastic cells were performed using human protein chips. Briefly, the membranes were initially probed with protein (150 ng) from normal or hyperplastic cells and sequentially reacted with a cocktail of biotinylated cytokine antibodies and horseradish peroxidase-conjugated streptavidin. The membranes were developed using enhanced chemiluminescence and analyzed by densitometry. RESULTS: Comparative densitometric analysis revealed twofold to fourfold upregulation of growth-related oncogene alpha (GRO-alpha), interleukin (IL)-1alpha, interferon (INF)-gamma, IL-8, tumor necrosis factor (TNF)-alpha, RANTES, and macrophage inflammatory protein-1beta (MIP-1beta) and twofold to fourfold downregulation of transforming growth factor (TGF)-beta and IL-10 in hyperplastic urothelial cells compared with paired control cells. CONCLUSIONS: We here report the efficient application of LCM and proteomic array chips for expression profile analysis of cytokines in vivo. Because the etiology and pathogenesis of UPJO are still fragmentary, the marked heterogeneity of the observed cytokine alterations reported here may be of significance. Further studies are required to elucidate the functional significance of the differentially expressed cytokines in the pathogenesis of the disease.

Adult↗
PubMed2005

From proteomics to biomarker discovery in Alzheimer's disease.

Alzheimer's disease (AD) is the most common form of dementia in the elderly. AD is an invariably fatal neurodegenerative disorder with no effective treatment or definitive antemortem diagnostic test. Little is known about the changes in the brain preceding or accompanying initiation of the disease. Understanding the biological processes, which occur during AD onset and/or progression, will improve the diagnosis and treatment of the disease. As we will discuss in this review article, using high-throughput cDNA microarray we identified candidate genes whose expression is altered in the brain of cases at risk for AD dementia. However, it is possible that the use of the cDNA microarray technology alone may underestimate post-transcriptional modifications and therefore provides only a partial view of the biological problem of interest. As such, the combination of cDNA and protein arrays may provide a more global picture of the biological processes being studied. Based on this hypothesis, we initiated a series of high-throughput proteomic studies and found that the expressions of proteins involved in synaptic plasticity are selectively altered in the brain of cases at high risk to develop AD dementia (mild cognitive impairment; MCI). This is consistent with our cDNA microarray evidence showing that the expression of a-type synapsins is selectively altered in the brain of MCI cases. Collectively, these studies support the feasibility and usefulness of high-throughput cDNA microarray and proteomics techniques to study the sequential changes of distinctive gene expression patterns in the brain as a function of the progression of AD dementia.

Alzheimer Disease↗
PubMed2002

Monitoring of gene expression by functional proteomics: response of human lung fibroblast cells to stimulation by endothelin-1.

Proteomic methods have been used to monitor changes in protein synthesis in the first 4 h following stimulation of human lung fibroblasts with endothelin-1. Using pulsed [(35)S]methionine labeling, about 70 proteins with altered protein synthesis could be detected, and the 35 proteins showing the largest changes were identified by mass spectrometry. The observed proteins included unexpected proteins such as Sox5, two isoforms of Rab14, Rab3A, translationally controlled tumor protein, and one protein of previously unknown function. There was a wide range of different kinetic behavior, and groups of functionally linked proteins such as Rab14, nucleophosmin,and cyclin-dependent kinase inhibitor 1B could be detected from similar kinetics. We propose that the functional proteomic methods are competitive with and have some advantages compared to expression profiling methods for monitoring gene expression.

Autoradiography↗
PubMed2005

Genetics and proteomics of pituitary tumors.

Genetics and proteomics determine structure and function of normal tissues, and the molecular alterations that underlie tumorigenesis result in changes in these aspects of tissue biology in neoplasms. We review the known genetic alterations in pituitary tumors. These include the oncogenic Gsalpha protein (GSP)-activating mutations, and pituitary tumor-derived fibroblast growth factor receptor-4 (ptd-FGFR4), as well as tumor suppressor gene mutations associated with multiple endocrine neoplasia type 1 (MEN1). Other candidates identified from expression profiling include pituitary tumor-transforming gene (PTTG), GADD45, and bone morphogenic protein (BMP)4. Proteomic changes in pituitary tumors include classical alterations identified by immunohistochemistry as well as epigenetic reductions in p27. The underlying mechanisms for dysregulated cell adhesive molecules including cadherins and FGFRs are reviewed. The combined use of genetic and proteomic approaches will enhance novel drug therapeutic development.

Adenoma↗
PubMed2006

An integrated approach to mapping the proteome of the human bone marrow stromal cell.

Bone marrow stromal cells, also known as mesenchymal stem or progenitor cells, are thought to play a critical role in hematopoiesis. Because hematopoiesis is dysregulated in leukemic individuals, expression profiling in leukemic stromal cells might yield valuable insights into mechanisms of normal and dysregulated hematopoiesis. Here, proteomics was used to identify expressed proteins in normal and leukemic bone marrow stromal cells. Isobaric tags for relative and absolute quantification (iTRAQ) technology and MS/MS were used to identify and quantify proteins in bone marrow stromal cells from two normal and two leukemic individuals. Approximately 900 distinct proteins were identified with >95% confidence, 73 of which were differentially expressed in leukemic stromal cells. cDNA microarray analysis on Affymetrix oligonucleotide gene chips showed that transcripts correlated with approximately 90% of the expressed proteins. A novel integrated approach for mining and visualization of iTRAQ data is presented. The results provide an initial assessment of the proteome in human bone marrow stromal cells, laying the groundwork for comprehensive analysis of the proteome in these cells, and ultimately, for improved understanding of normal and dysregulated hematopoiesis.

Adult↗
PubMed2005

Rapid and stable buffer exchange system using InSitu Chip suitable for multicolor and large-scale whole-mount analyses.

Whole-mount in situ hybridization (WISH) and whole-mount immunohistochemistry (WIHC) are informative methods commonly used to analyze the spatiotemporal and quantitative distribution of mRNAs and proteins. However, these methods require multiple buffer changes and the imposition of time- and nerve-consuming efforts. To facilitate the whole-mount analyses, we innovated an easy and one-step buffer exchange system named "InSitu Chip" based on a single column containing two attached filters. This system improves the speed and stabilizes the different steps of the currently available protocols, providing fast and uniform operations. The InSitu Chip system is especially appropriate for multicolor whole-mount analyses using fluorescent detection. Furthermore, the InSitu Chip system is also suitable for large-scale whole-mount experiments associated with genome, transcriptome, and/or proteome analyses requiring high-throughput, high-quality, and reproducible results. Using the InSitu Chip, about 1,500 gene expression patterns were stably surveyed in ascidian Ciona intestinalis juveniles.

Animals↗
PubMed2004

Subtractive proteomic mapping of the endothelial surface in lung and solid tumours for tissue-specific therapy.

The molecular complexity of tissues and the inaccessibility of most cells within a tissue limit the discovery of key targets for tissue-specific delivery of therapeutic and imaging agents in vivo. Here, we describe a hypothesis-driven, systems biology approach to identifying a small subset of proteins induced at the tissue-blood interface that are inherently accessible to antibodies injected intravenously. We use subcellular fractionation, subtractive proteomics and bioinformatics to identify endothelial cell surface proteins exhibiting restricted tissue distribution and apparent tissue modulation. Expression profiling and gamma-scintigraphic imaging with antibodies establishes two of these proteins, aminopeptidase-P and annexin A1, as selective in vivo targets for antibodies in lungs and solid tumours, respectively. Radio-immunotherapy to annexin A1 destroys tumours and increases animal survival. This analytical strategy can map tissue- and disease-specific expression of endothelial cell surface proteins to uncover novel accessible targets useful for imaging and therapy.

Aminopeptidases↗
PubMed2005

Sub-proteome analysis of novel IgE-binding proteins from Bermuda grass pollen.

Bermuda grass (Cynodon dactylon) pollen (BGP) is one of the most common causes of airway allergic disease, and has been shown to contain over 12 allergenic proteins on 1-D immunoglobulin E (IgE) immunoblots. However, only a few allergens have been identified and characterized. Cyn d 1 is a major allergen and the most abundant protein in BGP, representing 15% of the whole-pollen extract. To investigate variability in the IgE-reactive patterns of BGP-sensitized patients and to identify other prevalent allergens, a BGP extract was passed through an affinity column to remove Cyn d 1, and the non-bound material was collected and analyzed by 2-DE. IgE-reactive proteins were subsequently characterized by immunoblotting using serum samples from ten BGP-allergic patients. The prevalent IgE-reactive proteins were identified by MALDI-TOF MS, N-terminal sequence similarity, and LC-MS/MS. Here, we present a sub-proteome approach for allergen investigation and its use for determining BGP 2-DE profiles and identifying six novel allergens.

Blotting, Western↗
PubMed2006

Expressed proteome analysis of human hepatocellular carcinoma in nude mice (LCI-D20) with high metastasis potential.

We report for the first time an expressed proteome for human hepatocellular carcinoma (HCC) in nude mice model. Most cases of human liver cancer are HCC with highly metastatic ability. Therefore, the early prediction or diagnosis and effective treatment are the key points of research. We have previously successfully established a human HCC nude mice model (LCI-D20) with high metastasis potential. To understand better the tumor biology of HCC it is worth to explore the relativity of all expressed protein profiles in the LCI-D20 HCC nude mice model. With advanced proteomics technologies, we have carried out a proteomic analysis with following stages: protein sample preparation of cancer tissue, including total cellular extraction and sequential fractionation, 2-DE and 2-D LC separation, ESI/MALDI-MS/MS identification, as well as data-dependent bioinformatics. The identified proteins were classified bioinformatically respective to their function, biological process and intracellular localization. Some important proteins found in HCC, e.g. metabolism enzymes, proteins regulating cell motility, signaling proteins, and heat shock proteins, are discussed in terms of their metastasis.

Animals↗
PubMed2006

Comparative proteomics of pulmonary tumors with neuroendocrine differentiation.

We aimed to evaluate neuroendocrine pulmonary tumors (NEPT) by a novel method involving map tree construction by comparing all of the protein spots. We performed a proteomics analysis to assess the similarities in protein expression between neuroendocrine pulmonary tumors (NEPT), including typical carcinoids (TC), atypical carcinoids (AC), large cell neuroendocrine carcinomas (LCNEC) and small cell carcinomas (SCLC). Total protein lysates were obtained from seven histologically confirmed frozen NEPT tissues, including 1TC, 2 SCLC, and 4 cases ranging from AC to LCNEC. 2-DE demonstrated that TC was similar to normal lung. AC, LCNEC, and SCLC were similar to each other, forming a group separate from TC, however, SCLC at an early stage showed a similarity to TC. MALDI analysis detected 9 surrogate endpoint biomarkers, including eIF5A1, GST M3, cytokeratin 18 (CK 18), FK506-binding protein p59, p63, MAGE-D2, mitochondrial short-chain enoyl-coenzyme A hydratase 1, tranferrin and poly (rC) binding protein 1. Immunohistochemical staining revealed a gradual decrease in expression rate of p63 and CK 18 with poor differentiation of NEPT. Our results demonstrate that (1) the comparative proteomics of NEPT match the WHO classification except for AC and LCNEC; (2) SCLC show differences in their proteomics according to tumor stage; and (3) CK 18 and p63 may be useful as diagnostically and prognostically available markers.

Carcinoma, Large Cell↗
PubMedDate not supplied

The role of proteomics in toxicology: identification of biomarkers of toxicity by protein expression analysis.

Proteomics, i.e. the high throughput separation, display and identification of proteins, has the potential to be a powerful tool in drug development. It could increase the predictability of early drug development and identify non-invasive biomarkers of toxicity or efficacy. This review provides an introduction to modern proteomics, with particular reference to applications in toxicology. A literature search was carried out to identify studies in two broad classes: screening/predictive toxicology, and mechanistic toxicology. The strengths and limitations of current methods and the likely impact of techniques in drug development are also considered. Proteomics can increase the speed and sensitivity of toxicological screening by identifying protein markers of toxicity. Proteomics studies have already provided insights into the mechanisms of action of a wide range of substances, from metals to peroxisome proliferators. Current limitations involving speed of throughput are being overcome by increasing automation and the development of new techniques. The isotope-coded affinity tag (ICAT) method appears particularly promising. The application of proteomics to drug development has given rise to the new field of pharmacoproteomics. New associations between proteins and toxicopathological effects are constantly being identified, and major progress is on the horizon as we move into the post-genomic era.

Animals↗