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PubMed2004

Identification of tumor-associated plasma biomarkers using proteomic techniques: from mouse to human.

In an effort to identify tumor-associated proteins from plasma of tumor-bearing mice that may be used as diagnostic biomarkers, we developed a strategy that combines a tumor xenotransplantation model in nude mice with comparative proteomic technology. Five human cancer cell lines (SC-M1, HONE-1, CC-M1, OECM1, GBM 8401) derived from stomach, nasopharyngeal, colon, oral and brain cancers were subcutaneously inoculated into nude mice and compared to control nude mice injected with phosphate-buffered saline. One month later, plasma from mice inoculated with cancer cells was collected for proteomic analysis using two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS). Comparison of plasma 2-DE maps from tumor-bearing mice with those produced from control mice revealed the overexpression of several mouse acute phase proteins (APPs) such as haptoglobin. Another APP, serum amyloid A (SAA), was found only in mice bearing tumors induced by the stomach cancer cell line SC-M1, which has not previously been demonstrated in xenotransplatation experiment. Furthermore, by using immunohistochemistry, SAA and haptoglobin were found to originate from the mouse hosts and not from the human cancer cell line donors. The protein alterations were further confirmed on patients with stomach cancers where up-regulated levels of SAA were also observed. These results indicate that APPs may be used as nonspecific tumor-associated serum markers. SAA in particular may serve as a potential marker for detecting stomach cancer. Taken together, the combination of the xenotransplatation model in nude mice and proteomics analysis provided a valuable impact for clinical applications in cancer diagnostics. In addition, our findings demonstrate that a panel of APPs might serve as screening biomarkers for early cancer detection.

Amino Acid Sequence↗
PubMed2004

Proteomic analysis of proteins altered by dibenzoylmethane in human prostatic cancer LNCaP cells.

This paper explores the use of proteomics as a tool for identifying protein species whose expression has been altered by dibenzoylmethane (DBM) in LNCaP cells. Although DBM, a constituent of licorice, has been shown to induce cell cycle arrest and regulate androgen receptor (AR) expression, the mechanism by which these events occur is unknown. To develop a better understanding of the effect of DBM on cancer cells, we analyzed changes in protein expression induced by DBM in LNCaP cells using two-dimensional (2-D) gel electrophoresis. The proteomic approach used to study LNCaP cells has lead to the analysis and identification of a number of protein species that increase or decrease as a result of exposure to DBM. In particular, twenty features were found to be differentially expressed in this study based on the quantitation of two separate 2-D-fluorescence difference gel electrophoresis analyses. Thirteen of these features were identified through mass spectrometric analysis. The intensity of 10 out of the 13 spots identified increased 2- to 3-fold in response to 25 micro M and 50 micro M DBM and the remaining three spots decreased 2-fold in response to the same DBM treatment. This study investigates proteomic changes induced by treatment of cells with DBM in order to develop a model for the mechanism by which DBM induces cell cycle arrest and represses AR expression.

Cell Line, Tumor↗
PubMed2005

Proteomics analysis of prefractionated human lumbar cerebrospinal fluid.

Cerebrospinal fluid (CSF) is produced by the chorioid plexus in the ventricles. It surrounds the brain and bone marrow, and reflects several different disorders of the central nervous system (CNS). Proteomics has been used to analyze CSF in order to discover disease-associated proteins and to elucidate the basic molecular mechanisms that either cause, or result from, CNS disorders. However, some disease-associated proteins are of low-abundance and are difficult to detect. A low total-protein concentration, a high amount of albumin and immunoglobins, and a wide dynamic range (several orders of magnitude) of protein concentration cause several difficulties in the identification of low-abundance CSF proteins. In this study, advantage was taken of the range of different hydrophobic properties of CSF proteins, and a reversed-phase solid-phase extraction (SPE) cartridge was used to prefractionate human lumbar CSF proteins into three separate fractions prior to two-dimensional gel electrophoresis resolution of the proteome. A portion of the high-abundance CSF proteins were removed from two (eluted with 35% and 50% acetonitrile) of the three fractions. Some trace CSF proteins were preferentially enriched in the two fractions, and many proteins were detected in the two-dimensional (2-D) gels of the two fractions. Among the novel proteins identified, sixty-two protein spots that represent forty-two proteins were characterized. Most of the proteins have not been annotated in any previous 2-D map of human CSF, and several have been implicated in CNS diseases. The prefractionation of CSF proteins with SPE, followed by proteomics analysis, provides a new method to explore low-abundance, disease-specific CSF proteins.

Cerebrospinal Fluid Proteins↗
PubMed2005

Proteomic study of human hepatocellular carcinoma using two-dimensional difference gel electrophoresis with saturation cysteine dye.

To identify the proteomic alterations associated with carcinogenesis of hepatocellular carcinoma (HCC), we compared the protein expression profiles of nine HCC cell lines with those of primary cultured hepatocytes established from five individuals. A differential proteomic study was performed by two-dimensional difference gel electrophoresis, in which protein samples are labeled with different fluorescent dyes and separated according to their isoelectric point and molecular weight. To label the protein samples, we used a newly developed and highly sensitive fluorescent dye, which reacts with all reduced cysteine residues of proteins. Principal component analysis based on the intensity of 1238 protein spots indicated that the HCC cells and the normal hepatocytes had distinct proteomic profiles. The Wilcoxon test was used to determine the protein spots whose intensity was differentially regulated in the HCC cells compared with the normal hepatocytes, and mass spectrometric analysis was used to identify the proteins corresponding to the spots. The proteins identified are involved in cell cycle regulation, binding to a tumor-suppressor gene product, fatty acid binding, and regulation of translation. Western blotting with specific antibodies revealed the overexpression of PCNA, EB1 and E-FABP in HCC tissues compared with noncancerous tissues. Aberrant regulation of EB1 and E-FABP has not previously been implicated in the development of HCC.

Adult↗
PubMed2005

A proteomic approach to studying biogenic amine producing lactic acid bacteria.

All fermented foods are subject to the risk of biogenic amine contamination. Histamine and tyramine are among the most toxic amines for consumers' health, exerting undesirable effects on the central nervous and vascular systems, but putrescine and cadaverine can also compromise the organoleptic properties of contaminated foods. These compounds are produced by fermenting microbial flora that decarboxylate amino acids to amines. Little is known of the factors which induce biosynthesis of decarboxylating enzymes and/or which modulate their catalytic activity: the accumulation of amines is generally considered to be a mechanism that contrasts an acidic environment and/or that produces metabolic energy through coupling amino acid decarboxylation with electrogenic amino acid/amine antiporters. Two Lactobacillus strains, Lactobacillus sp. 30a (ATCC 33222), and a Lactobacillus sp. strain (w53) isolated from amine-contaminated wine, carrying genetic determinants for histidine decarboxylase (HDC) and ornithine decarboxylase (ODC), were studied and the influence of some environmental and nutritional parameters on amine production and protein biosynthesis was analyzed through a proteomic approach; this is the first report of a proteomic analysis of amine-producing bacteria. HDC and ODC biosynthesis were shown to be closely dependent on the presence of high concentrations of free amino acids in the growth medium and to be modulated by the growth phase. The stationary phase and high amounts of free amino acids also strongly induced the biosynthesis of an oligopeptide transport protein belonging to the proteolytic system of Lactic Acid Bacteria. At least two isoforms of glyceraldehyde-3-phosphate dehydrogenase, with different M(r), pI and expression profiles, were identified from Lactobacillus sp. w53: the biosynthesis of one isoform, in particular, is apparently repressed by high concentrations of free amino acids. Other proteins were identified from the Lactobacillus proteome, affording a global knowledge of protein biosynthesis modulation during biogenic amine production.

Amino Acid Sequence↗
PubMed2005

A proteomic analysis of cold stress responses in rice seedlings.

Using proteomic analysis, an investigation aimed at a better understanding of the molecular adaptation mechanisms of cold stress was carried out in rice (Oryza sativa). The seedlings were exposed to a progressively low temperature stress treatment from normal temperature to 15, 10, and 5 degrees C. Proteins were extracted from the leaves collected from both control and stressed seedlings. By fractionation, approximately 1700 protein spots were separated and visualized on CBB-stained 2-D gels. Sixty protein spots were found to be up-regulated in responding to the progressively low temperature stress and displayed different dynamic patterns. As an initial work, 41 of these proteins were identified using MALDI-TOF MS or ESI/MS/MS. These cold responsive proteins, besides two proteins of unknown function, include four factors of protein biosynthesis, four molecular chaperones, two proteases, and eight enzymes involved in biosynthesis of cell wall components, seven antioxidative/detoxifying enzymes, and proteins linked to energy pathway, as well as a protein involved in signal transduction. The functional proteomes illuminate the facts, at least in plant cell, that protein quality control mediated by chaperones and proteases and enhancement of cell wall components play important roles in tolerance to cold stress. Using TargetP program, the subcellular localization of the identified proteins was analyzed. Proteins (43.9%) were predicted to be located in the chloroplasts, implying that chloroplast proteome is virtually subjective to cold stress. The physiological implications, revealed from the experimental data, are discussed in context of a complex metabolic network in plant cells responsive to cold stress.

5-Methyltetrahydrofolate-Homocysteine S-Methyltran↗
PubMed2005

Further steps towards data standardisation: the Proteomic Standards Initiative HUPO 3(rd) annual congress, Beijing 25-27(th) October, 2004.

The increasing volume of proteomics data currently being generated by increasingly high-throughput methodologies has led to an increasing need for methods by which such data can be accurately described, stored and exchanged between experimental researchers and data repositories. Work by the Proteomics Standards Initiative of the Human Proteome Organisation has laid the foundation for the development of standards by which experimental design can be described and data exchange facilitated. The progress of these efforts, and the direct benefits already accruing from them, were described at a plenary session of the 3(rd) Annual HUPO congress. Parallel sessions allowed the three work groups to present their progress to interested parties and to collect feedback from groups already implementing the available formats.

China↗
PubMed2006

Identification of alkaline proteins that are differentially expressed in an overgrowth-mediated growth arrest and cell death of Escherichia coli by proteomic methodologies.

The available Escherichia coli genome sequences offer an opportunity to further expand our understanding of this bacterium. In the current study, we present a rapid method for the isolation of bacterial alkaline proteins using acid incubation, purification and protein array by 2-DE, followed by protein identification using MS. Fifty-seven proteins were randomly chosen, in which 55 were identified by a database searching of MS data. The searching results showed that most of these alkaline proteins were involved in special functions within the cell, suggesting that alkaline proteome is an ideal fraction for an understanding of their special functions. Furthermore, alkaline proteomes were compared between the period of majority live bacteria (18-h culture), the period of similar amount of live and dead bacteria (30-h culture) and the period of majority dead bacteria (48-h culture). Six proteins were identified as differentially expressed targets, in which putative transcriptional regulator and superoxide dismutase genes were cloned and expressed for antiserum preparations. The antisera were applied for the confirmation of results obtained from 2-DE. The presented data clearly reveal that alkaline proteome analysis by 2-DE with MS plays an important role in the understanding of protein functions within the cell, and six alkaline proteins are determined as key ones in an overgrowth-mediated growth cycle of E. coli.

Cell Death↗
PubMed2006

Analysis of aromatic catabolic pathways in Pseudomonas putida KT 2440 using a combined proteomic approach: 2-DE/MS and cleavable isotope-coded affinity tag analysis.

Proteomic analysis of Pseudomonas putida KT2440 cultured in monocyclic aromatic compounds was performed using 2-DE/MS and cleavable isotope-coded affinity tag (ICAT) to determine whether proteins involved in aromatic compound degradation pathways were altered as predicted by genomic analysis (Jiménez et al., Environ Microbiol. 2002, 4, 824-841). Eighty unique proteins were identified by 2-DE/MS or MS/MS analysis from P. putida KT2440 cultured in the presence of six different organic compounds. Benzoate dioxygenase (BenA, BenD) and catechol 1,2-dioxygenase (CatA) were induced by benzoate. Protocatechuate 3,4-dixoygenase (PcaGH) was induced by p-hydroxybenzoate and vanilline. beta-Ketoadipyl CoA thiolase (PcaF) and 3-oxoadipate enol-lactone hydrolase (PcaD) were induced by benzoate, p-hydroxybenzoate and vanilline, suggesting that benzoate, p-hydroxybenzoate and vanilline were degraded by different dioxygenases and then converged in the same beta-ketoadipate degradation pathway. An additional 110 proteins, including 19 proteins from 2-DE analysis, were identified by cleavable ICAT analysis for benzoate-induced proteomes, which complemented the 2-DE results. Phenylethylamine exposure induced beta-ketoacyl CoA thiolase (PhaD) and ring-opening enzyme (PhaL), both enzymes of the phenylacetate (pha) biodegradation pathway. Phenylalanine induced 4-hydroxyphenyl-pyruvate dioxygenase (Hpd) and homogentisate 1,2-dioxygenase (HmgA), key enzymes in the homogentisate degradation pathway. Alkyl hydroperoxide reductase (AphC) was induced under all aromatic compounds conditions. These results suggest that proteome analysis complements and supports predictive information obtained by genomic sequence analysis.

Affinity Labels↗
PubMed2005

Proteome imaging: a closer look at life's organization.

Imaging the proteome is a term that is used in many different contexts. The term implies that the entire cohort of proteins and their modifications are visualized. This unfortunately is not the case. In this mini-review, a concise overview is provided on different imaging technologies that are currently used to investigate the structure, function and dynamics of proteins and their organization. These techniques have been selected for review based on the unique insights they provide in subsets of the proteome. These techniques have been illustrated with practical examples of their merits. Mass spectrometry-based imaging technologies are playing a key role in proteome research and have been reviewed in more detail. They hold the promise of detailed molecular insight in the spatial organization of living system.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2006

PRISM: a data management system for high-throughput proteomics.

Advanced proteomic research efforts involving areas such as systems biology or biomarker discovery are enabled by the use of high level informatics tools that allow the effective analysis of large quantities of differing types of data originating from various studies. Performing such analyses on a large scale is not feasible without a computational platform that performs data processing and management tasks. Such a platform must be able to provide high-throughput operation while having sufficient flexibility to accommodate evolving data analysis tools and methodologies. The Proteomics Research Information Storage and Management system (PRISM) provides a platform that serves the needs of the accurate mass and time tag approach developed at Pacific Northwest National Laboratory. PRISM incorporates a diverse set of analysis tools and allows a wide range of operations to be incorporated by using a state machine that is accessible to independent, distributed computational nodes. The system has scaled well as data volume has increased over several years, while allowing adaptability for incorporating new and improved data analysis tools for more effective proteomics research.

Chromatography, Liquid↗
PubMed2006

Expanding the protein catalogue in the proteome reference map of human breast cancer cells.

In this report we present a catalogue of 162 proteins (including isoforms and variants) identified in a prototype of proteomic map of breast cancer cells. This work represents the prosecution of previous studies describing the protein complement of breast cancer cells of the line 8701-BC, which has been well characterized for several parameters, providing to be a useful model for the study of breast cancer-associated candidate biomarkers. In particular, 110 spots were identified ex novo by PMF, or validated following previous gel matching identification method; 30 were identified by N-terminal microsequencing and the remaining by gel matching with maps available from our former work. As a consequence of the expanded number of proteins, we have updated our previous classification extending the number of protein groups from 4 to 13. In order to facilitate comparative proteome studies of different kinds of breast cancers, in this report we provide the whole complement of proteins so far identified and grouped into the new classification. A consistent number of them were not described before in other proteomic maps of breast cancer cells or tissues, and therefore they represent a valuable contribution for breast cancer protein databases and for future application in basic and clinical researches.

Biomarkers, Tumor↗
PubMed2006

Characterization of the human urine proteome by preparative electrophoresis in combination with 2-DE.

The protein components of urine are useful indicators of renal function and human health in general. Urine samples are easily attainable making them ideal substrates for biomarker research. Analysis of the urine proteome however, has been hindered by the great variability of the urine specimens, and the presence of various proteins in low abundance or modified forms. To alleviate some of these problems urine samples from five different individuals were pooled, concentrated and the proteome characterized by a combination of preparative electrophoresis and 2-DE, followed by PMF. A total of 778 protein spots corresponding to 141 different gene products were identified. In comparison, 171 spots corresponding to 44 unique proteins were identified in the unfractionated starting material. Among the proteins identified from the preparative electrophoresis were many of low abundance such as proteins involved in signal transduction. Furthermore, the median molecular mass of the identified proteins from the preparative electrophoresis was significantly lower in comparison to the proteins identified from the unfractionated starting material (39 886 Da versus 71 317 Da, respectively). Concluding, application of this methodology provides a coherent analysis of the urine proteome and contributes to the generation of the urine protein map in health and disease.

Adolescent↗
PubMed2006

Sample preparation project for the subcellular proteome of mouse liver.

Organelle proteome has become one of the most important fields of proteomics, and the subcellular fractionation with high purity and yield has always been a challenge for cell biologists and also for the Human Liver Proteome Project (HLPP). The liver of a C57BL/6J mouse was chosen as the model to find the optimum method for subcellular preparation. The method we selected could obtain the multiple fractions including plasma membrane, mitochondria, nucleus, ER, and cytosol from a single homogenate. With the same procedure, it is for the first time that the preparation method of frozen homogenized livers was compared with that of the fresh livers and frozen livers. We systematically evaluated the purity, efficiency, and integrity by protein yield, immunoblotting, and transmission electron microscopy. Taken together, the method of multiple fractions from a single tissue is effective enough for subcellular fractionation of mouse liver. We give a selective sample preparation method for frozen homogenized livers, for rare clinical samples, which cannot easily be used for subcellular separation immediately. But the frozen livers are not recommended for organelles isolation. This result is especially useful for sample preparation of human liver for subcellular fractionation of HLPP.

Animals↗
PubMed2006

Proteomic characterization of acid stress response in Synechocystis sp. PCC 6803.

A comparative proteomic analysis using 2-DE coupled with MALDI-MS and LC-MS/MS was performed in Synechocystis sp. PCC 6803 to identify protein candidates involved in acid stress response in cyanobacteria. Comparison of soluble proteins from the cytoplasmic fraction of cells grown on media set at pH 7.5 and 5.5 using 2-DE identified four proteins, which showed significant changes in the abundance. Surprisingly, several general stress proteins, either the heat shock family proteins or chaperonins, did not show perceptible fold changes in response to acidity. Compared to the cytoplasmic proteome, the periplasmic proteome showed remarkable changes as a function of external pH. Protein expression profiling at different external pH, i.e., 9.0, 7.5, 6.0 and 5.5, allowed classifying the periplasmic proteins depending on their preferential expression patterns towards acidity or alkalinity. Among the acid- and base-induced proteins, oxalate decarboxylase and carbonic anhydrase were already known for their role in pH homeostasis. Several unknown proteins from the periplasm, that showed significant changes in response to pH, provide ideal targets for further studies in understanding pH stress response in cyanobacteria. This study also identified 14 novel proteins, hitherto unknown from the periplasmic space of Synechocystis.

Bacterial Proteins↗
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↗
PubMed2006

Strategies for plasma proteomic profiling of cancers.

Despite a voluminous literature on potential protein biomarkers and a compelling need for diagnostic tests based on biomarkers to detect cancers at much earlier, more treatable stages, progress has been limited. New methods and new instruments for analysis of differences in gene expression, gene methylation, and proteomics are being employed to try to accelerate the discovery phase. Given the heterogeneity of tumor mechanisms and the limitations of analytical methods, it is likely that a variety of strategies will be needed and will be complementary. That is the basis of this review of proteomic approaches. This article adopts a systems biology view, starting with mRNA transcripts in tumors and cultured tumor cells to detect mRNA overexpression, some of which will be correlated with protein overexpression. Some of those proteins may be secreted or released into proximal biofluids and plasma. Detection of low-abundance tumor proteins in the complex and dynamic mixture that is plasma requires combinations of increasingly powerful technologies. The biological amplification of protein signals through the immune system offers autoantibodies as potential biomarkers. Higher abundance proteins, including acute-phase reactants, may have practical value, especially if the proteins are modified as part of the cancer processes. Low molecular weight proteins, fragments, and peptides may offer complementary biomarkers. Promising biomarker candidates must be confirmed in independent studies. Then they must be submitted to higher-throughput methods practical for large-scale validation studies and, hopefully, for clinical and epidemiological applications. Standardized operating procedures for specimen handling, design and use of various reference standards, care to avoid bias and confounding, and guidelines for reporting findings and contributing datasets should enhance the prospects for predictive proteomic profiling of people at risk for cancers.

Biomarkers, Tumor↗
PubMed2006

The proteome of the phytopathogenic fungus Sclerotinia sclerotiorum.

In order to gain a more thorough understanding of the phytopathogenic fungus, Sclerotinia sclerotiorum, we initiated a proteome-level study of the fungal mycelia and secretome. To our knowledge, this is the first comprehensive proteome-level study of this fungus. Extracted mycelial proteins and secreted proteins collected from liquid culture were separated using 2-DE and annotated following ESI-q-TOF MS/MS. Fifty-two secreted proteins were reproducibly present in three biological replicates and 18 of them were identified by MS/MS while over 200 mycelial proteins were reproducibly present in three independent extractions and approximately half of them were identified. Many of the annotated secreted proteins were cell wall degrading enzymes that had been previously identified as pathogenicity or virulence factors of S. sclerotiorum; however, the contribution to the virulence of S. sclerotiorum of one of the identified proteins, alpha-L-arabinofuranosidase, is yet to be analyzed. Furthermore, previous comprehensive EST studies did not detect the presence of the alpha-L-arabinofuranosidase transcript, which demonstrates the merit of performing proteome-level research. All of the secreted and mycelial proteins identified were functionally classified, and the known and proposed roles in disease initiation or progression for many of them are discussed.

Ascomycota↗