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PubMed2006

Proteome analysis of isolated perfused organ effluent as a novel model for protein biomarker discovery.

The discovery of novel serological biomarkers is critical for improving disease diagnosis and monitoring treatment response. Proteomic analysis of model systems, such as isolated cells in culture and patient plasma and serum, represents the current state-of-the-art. Here, we coupled proteomics with isolated organ perfusion, which allows a disease state to be studied in a physiologic, yet controlled, environment. Potential markers specific to the disease or to changes in the surrounding tissue may be discovered. The effectiveness of this model was evaluated using proteomic analysis of effluent fractions collected from isolated beating rat hearts during reperfusion after brief episodes of ischemia. The detection of clinical markers for myocardial ischemia in this effluent was robust and analytically straightforward, validating the potential of isolated organ perfusion in diagnostic protein discovery.

Animals↗
PubMedDate not supplied

Proteomics-grade de novo sequencing approach.

The conventional approach in modern proteomics to identify proteins from limited information provided by molecular and fragment masses of their enzymatic degradation products carries an inherent risk of both false positive and false negative identifications. For reliable identification of even known proteins, complete de novo sequencing of their peptides is desired. The main problems of conventional sequencing based on tandem mass spectrometry are incomplete backbone fragmentation and the frequent overlap of fragment masses. In this work, the first proteomics-grade de novo approach is presented, where the above problems are alleviated by the use of complementary fragmentation techniques CAD and ECD. Implementation of a high-current, large-area dispenser cathode as a source of low-energy electrons provided efficient ECD of doubly charged peptides, the most abundant species (65-80%), in a typical trypsin-based proteomics experiment. A new linear de novo algorithm is developed combining efficiency and speed, processing on a conventional 3 GHz PC, 1000 MS/MS data sets in 60 s. More than 6% of all MS/MS data for doubly charged peptides yielded complete sequences, and another 13% gave nearly complete sequences with a maximum gap of two amino acid residues. These figures are comparable with the typical success rates (5-15%) of database identification. For peptides reliably found in the database (Mowse score > or = 34), the agreement with de novo-derived full sequences was >95%. Full sequences were derived in 67% of the cases when full sequence information was present in MS/MS spectra. Thus the new de novo sequencing approach reached the same level of efficiency and reliability as conventional database-identification strategies.

Algorithms↗
PubMed2006

Quantitative characterizations of proteome: dependence on the number of proteins considered.

We consider the sensitivity of numerical characterizations of proteome on the number of proteins considered in the analysis. We examined data on proteomics maps belonging to the liver cells of mice subject to four proliferators. We varied the number of proteins considered for quantitative analysis from 25 up to 1000 proteins. For each case, we have compared the similarity/dissimilarity results when different number of proteins has been considered. We found that proteins maps based on a set of about 300 most abundant proteins spots suffice for satisfactory numerical characterization of corresponding proteome.

Animals↗
PubMed2006

Prefractionation by digitonin extraction increases representation of the cytosolic and intracellular proteome of Leishmania infantum.

Proteome coverage is limited by the dynamic range of proteins present in a sample and often is confined to the analysis of abundant proteins. We have developed a protein prefractionation protocol, based on the differential solubilization of membranes using digitonin, that has allowed an increase in the resolution and depth of comparative proteomic studies. This prefractionation protocol can also be used to infer the subcellular localization of hypothetical proteins as tested experimentally using green fluorescent fusion proteins. The abundant tubulins and associated proteins of the cytoskeleton were removed from the sample using digitonin extraction, hence facilitating the visualization of lower abundance proteins. The digitonin prefractionation protocol was applied for a comparative proteomic analysis of the promastigote and amastigote life cycle stages of Leishmania infantum and has allowed the identification of novel proteins expressed in a stage-specific manner.

Animals↗
PubMed2006

Proteome analysis of responses to ascochlorin in a human osteosarcoma cell line by 2-D gel electrophoresis and MALDI-TOF MS.

Ascochlorin is a prenyl-phenol compound that was isolated from the fungus Ascochyta viciae. Ascochlorin reduces serum cholesterol and triglyceride levels, suppresses hypertension and tumor development, and ameliorates type I and II diabetes. Here, to better understand the mechanisms by which ascochlorin regulates physiological or pathological events and induces responses in the pharmacological treatment of cancer, we performed differential analysis of the proteome of the human osteosarcoma cells U2OS in response to ascochlorin. In addition, we established the first two-dimensional map of the U2OS proteome. The U2OS cell proteomes with and without treatment with ascochlorin were compared using two-dimensional electrophoresis, matrix-assisted laser desorption/ionization mass spectrometry and bioinformatics. The largest differences in expression were observed for the epidermal growth factor receptor (4-fold decrease), ribulose-5-phosphate-epimerase (13-fold decrease), ATP-dependent RNA helicase (8-fold decrease), and kelch-like ECH-associated protein 1 (6-fold decrease). The abundance of heterogeneous nuclear ribonucleoprotein L and minichromosome maintenance protein 7 increased 12- and 8.2-fold, respectively. In addition, Erk 2 was increased 3-fold in U2OS cells treated with ascochlorin. The expression of some selected proteins was confirmed by western blotting, zymography and RT-PCR analysis.

Alkenes↗
PubMed2006

Proteomics characterization of protein adsorption onto hemodialysis membranes.

Protein-adsorptive properties are a key feature of membranes used for hemodialysis treatment. Protein adsorption is vital to the biocompatibility of a membrane material and influences membrane's performance. The object of the present study is to investigate membrane biocompatibility by correlating the adsorbed proteome repertoire with structural feature of the membrane surfaces. Minidialyzers of identical structural characteristics composed of either cellulose diacetate or ethylenevinyl alcohol materials were employed to develop an ex vivo apparatus to investigate protein adsorption. Adsorbed proteins were eluted by a strong chaotropic buffer condition and investigated by 2-DE coupled to both MALDI-TOF mass spectrometry (MS) mass fingerprinting and fragmentation analysis on a nanoLC-MS/MS hybrid instrument. Membrane surface characterization included evaluation of roughness (atomic force microscopy), elemental chemical composition (X-ray-photoelectron-spectroscopy), and hydrophilicity (pulsed nuclear magnetic resonance). The present study identifies a number of different proteins as common or characteristic of filter material interaction, showing that proteomic techniques are a promising approach for the investigation of proteins surface-adsorbed onto hemodialysis membrane. Proteomic analysis enables the characterization of protein layers of unknown composition.

Adsorption↗
PubMed2006

A proteomic approach toward the selection of proteins with enhanced intrinsic conformational stability.

A detailed understanding of the molecular basis of protein folding and stability determinants partly relies on the study of proteins with enhanced conformational stability properties, such as those from thermophilic organisms. In this study, we set up a methodology aiming at identifying the subset of cytosolic hyperstable proteins using Sulfurispharea sp., a hyperthermophilic archaeon, able to grow between 70 and 97 degrees C, as a model organism. We have thermally and chemically perturbed the cytosolic proteome as a function of time (up to 96 h incubation at 90 degrees C), and proceeded with analysis of the remaining proteins by combining one- and two-dimensional gel electrophoresis, liquid chromatography fractionation, and protein identification by N-terminal sequencing and mass spectrometry methods. In total, 14 proteins with enhanced stabilities which are involved in key cellular processes such as detoxification, nucleic acid processing, and energy metabolism were identified including a superoxide dismutase, a peroxiredoxin, and a ferredoxin. We demonstrate that these proteins are biologically active after extensive thermal treatment of the proteome. The relevance of these and other targets is discussed in terms of the organism's ecology. This work thus illustrates an experimental approach aimed at mining a proteome for hyperstable proteins, a valuable tool for target selection in protein stability and structural studies.

Amino Acid Sequence↗
PubMed2006

Multidimensional proteomic analysis of the soluble subproteome of the emerging nosocomial pathogen Ochrobactrum anthropi.

We report the first large-scale gel-free proteomic analysis of the soluble subproteome of the emerging pathogen Ochrobactrum anthropi. Utilizing our robust offline multidimensional protein identification protocol, a total of 57 280 peptides were initially identified utilizing automated MS/MS analysis software. We describe our investigation of the heuristic protein validation tool PROVALT and demonstrate its ability to increase the speed and accuracy of the curation process of large-scale proteomic datasets. PROVALT reduced our peptide list to 8517 identified peptides and further manual curation of these peptides led to a final list of 984 uniquely identified peptides that resulted in the positive identification of 249 proteins. These identified proteins were functionally classified and physiochemically characterized. A variety of typical "housekeeping" functions identified within the proteome included nucleic acid, amino and fatty acid anabolism and catabolism, glycolysis, TCA cycle, and pyruvate and selenoamino acid metabolism. In addition, a number of potential virulence factors of relevance to both plant and human disease were identified.

Amino Acid Sequence↗
PubMed2006

Simple urinary sample preparation for proteomic analysis.

Since the completion of the human genome sequence, attention has now focused on establishing reference maps of body fluids such as plasma and urine for detecting diagnostic markers of disease. Although some progress has been made, challenges still remain in the development of an optimal sample preparation method for proteomic analysis of urine. We have developed a simple and efficient urine preparation method for two-dimensional (2-D) gel electrophoresis which involves precipitation of proteins with simultaneous desalting. Acetonitrile precipitation produced 2-D gel separations with the highest resolution and the greatest number of protein spots compared to precipitation by other organic solvents. The method was applied to observe changes in the urinary proteome over a 6 week period and to establish a reference map of a healthy subject. A total of 339 proteins from 159 genes was identified from healthy male urine by peptide mass fingerprinting. The profiles of the urinary proteome at three times in 1 day and on four different days were compared and were found to vary in number and spatial location of the proteins on the map. The method was also shown to be applicable to the higher concentrations of protein found in the urine of an ovarian cancer subject. We have developed a facile and robust method for preparing urine for 2-D gels that will encourage further use of urine.

Adult↗
PubMed2007

Proteome profile of cytosolic component of zebrafish liver generated by LC-ESI MS/MS combined with trypsin digestion and microwave-assisted acid hydrolysis.

The zebrafish genome has recently been sequenced and annotated allowing for high-throughput proteomic analysis. Here, we report for the first time a proteomic subset of zebrafish liver, an important organ for metabolizing toxins. Using a newly developed analytical procedure, we have identified 1204 proteins from the cytosolic component of a zebrafish liver tissue sample. Our methods involve cell-compartment fractionation of liver tissue samples, four levels of protein digestion, and off-line two-dimensional liquid chromatography (2-D LC) separations of resultant peptides. Proteins are identified using an electrospray ionization quadrupole time-of-flight tandem mass spectrometer (ESI-QTOF MS/MS), which provides high-resolution and high-accuracy mass measurement of peptide ions and their fragment ions. We demonstrate that greater proteome coverage can be achieved by combining the results obtained from four methods of protein digestion: three tryptic digests (one in buffer, one in methanol, and another in SDS), and a microwave-assisted acid hydrolysate of the protein extracts. Identified proteins--which included several groups of established protein biomarkers--were functionally classified. We discuss the functions and implications of these biomarkers within the context of zebrafish toxicology.

Animals↗
PubMed2007

The proteomic reactor facilitates the analysis of affinity-purified proteins by mass spectrometry: application for identifying ubiquitinated proteins in human cells.

Mass spectrometry (MS) coupled to affinity purification is a powerful approach for identifying protein-protein interactions and for mapping post-translational modifications. Prior to MS analysis, affinity-purified proteins are typically separated by gel electrophoresis, visualized with a protein stain, excised, and subjected to in-gel digestion. An inherent limitation of this series of steps is the loss of protein sample that occurs during gel processing. Although methods employing in-solution digestion have been reported, they generally suffer from poor reaction kinetics. In the present study, we demonstrate an application of a microfluidic processing device, termed the Proteomic Reactor, for enzymatic digestion of affinity-purified proteins for liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. Use of the Proteomic Reactor enabled the identification of numerous ubiquitinated proteins in a human cell line expressing reduced amounts of the ubiquitin-dependent chaperone, valosin-containing protein (VCP). The Proteomic Reactor is a novel technology that facilitates the analysis of affinity-purified proteins and has the potential to aid future biological studies.

Adenosine Triphosphatases↗
PubMed2006

Identification of early proteomic markers for hepatic steatosis.

The identification of biomarkers for disease state, drug efficacy, and toxicity is becoming increasingly important for drug discovery and development. We have used two-dimensional differential in-gel electrophoresis and mass spectrometry to identify proteomic markers associated with hepatocellular steatosis in rats after dosing with a compound (CDA) in preclinical development. Rats were dosed daily for up to 5 days with CDA for measurement of blood biochemical parameters, histological, and proteomic analysis. Alterations in plasma glucose and liver transaminases were detected from dosing day 3 onward, and livers showed trace levels of hepatocellular vacuolation from 6 h which increased in extent and severity over the 5 day time course. The number of significantly altered protein spots increased over the 5 day time course, and Ingenuity Pathway Analysis showed that the predominant functions altered by CDA treatment were cell death and cellular assembly and organization. This included alterations in secreted proteins, endoplasmic reticulum and mitochondrial chaperones, antioxidant proteins, and enzymes involved in fatty acid biosynthesis. Comparative in vitro dosing studies showed similar alterations to the proteome, neutral lipid accumulation, and mitochondrial dehydrogenase activity in response to CDA treatment of cultured rat hepatocytes. The finding that several proteins showed significant changes in abundance before the onset of overt toxicity in vivo suggested that these could serve as predictive biomarkers of compounds with a propensity to induce liver steatosis. These markers underwent further direct analysis in the in vitro hepatocyte toxicity model to determine their utility in the development of high throughput assays for drug-induced steatosis.

Animals↗
PubMed2003

Comparative analysis of proteome maps of Helicobacter pylori clinical isolates.

The gram-negative bacterium Helicobacter pylori is found in human gastric mucosa. A widely distributed H. pylori infection is associated with chronic gastritis, gastric and duodenal ulcers, and malignant neoplasms. In this study proteome maps of four H. pylori clinical isolates derived from patients of two Russian regions (Moscow/Moscow Region and Novosibirsk) were obtained using 2D-electrophoresis and MALDI-TOF-mass-spectrometry. Variability of some H. pylori proteins and the level of their expression have been evaluated. These four isolates could be easily subdivided into two equal groups characterized by the close proteome profiles and the isolate from Moscow Region and the isolate from Novosibirsk constituted one group. The present study demonstrates the potential of proteome technology, which can be employed together with genome and transcriptome studies for the multiparameter typing of clinical isolates of pathogenic microorganisms.

Cell Extracts↗
PubMed2003

From genomics to proteomics.

Proteomics is the study of the function of all expressed proteins. Tremendous progress has been made in the past few years in generating large-scale data sets for protein-protein interactions, organelle composition, protein activity patterns and protein profiles in cancer patients. But further technological improvements, organization of international proteomics projects and open access to results are needed for proteomics to fulfil its potential.

Animals↗
PubMed2003

Disease proteomics.

The sequencing of the human genome and that of numerous pathogens has opened the door for proteomics by providing a sequence-based framework for mining proteomes. As a result, there is intense interest in applying proteomics to foster a better understanding of disease processes, develop new biomarkers for diagnosis and early detection of disease, and accelerate drug development. This interest creates numerous opportunities as well as challenges to meet the needs for high sensitivity and high throughput required for disease-related investigations.

Disease↗
PubMed2005

Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards.

An important challenge for proteomics is to be able to compare absolute protein levels across biological samples. Here we introduce an approach based on the use of culture-derived isotope tags (CDITs) for quantitative tissue proteome analysis. We cultured Neuro2A cells in a stable isotope-enriched medium and mixed them with mouse brain samples to serve as internal standards. Using CDITs, we identified and quantified a total of 1,000 proteins, 97-98% of which were expressed in both mouse whole brain and Neuro2A cells. CDITs also allow comprehensive and absolute protein quantification. Synthetic unlabeled peptides were used to quantify the corresponding proteins labeled with stable isotopes in Neuro2A cells, and the results were used to obtain the absolute amounts of 103 proteins in mouse whole brain. The expression levels correlated well with those in Neuro2A cells. Thus, the use of CDITs allows both relative and absolute quantitative proteome studies.

Animals↗
PubMed2006

Challenges in deriving high-confidence protein identifications from data gathered by a HUPO plasma proteome collaborative study.

The Human Proteome Organization (HUPO) recently completed the first large-scale collaborative study to characterize the human serum and plasma proteomes. The study was carried out in different locations and used diverse methods and instruments to compare and integrate tandem mass spectrometry (MS/MS) data on aliquots of pooled serum and plasma from healthy subjects. Liquid chromatography (LC)-MS/MS data sets from 18 laboratories were matched to the International Protein Index database, and an initial integration exercise resulted in 9,504 proteins identified with one or more peptides, and 3,020 proteins identified with two or more peptides. This article uses a rigorous statistical approach to take into account the length of coding regions in genes, and multiple hypothesis-testing techniques. On this basis, we now present a reduced set of 889 proteins identified with a confidence level of at least 95%. We also discuss the importance of such an integrated analysis in providing an accurate representation of a proteome as well as the value such data sets contain for the high-confidence identification of protein matches to novel exons, some of which may be localized in alternatively spliced forms of known plasma proteins and some in previously nonannotated gene sequences.

Blood Proteins↗
PubMed2006

Proteomic profiling of metalloprotease activities with cocktails of active-site probes.

Metalloproteases are a large, diverse class of enzymes involved in many physiological and disease processes. Metalloproteases are regulated by post-translational mechanisms that diminish the effectiveness of conventional genomic and proteomic methods for their functional characterization. Chemical probes directed at active sites offer a potential way to measure metalloprotease activities in biological systems; however, large variations in structure limit the scope of any single small-molecule probe aimed at profiling this enzyme class. Here, we address this problem by creating a library of metalloprotease-directed probes that show complementary target selectivity. These probes were applied as a 'cocktail' to proteomes and their labeling profiles were analyzed collectively using an advanced liquid chromatography-mass spectrometry platform. More than 20 metalloproteases were identified, including members from nearly all of the major branches of this enzyme class. These findings suggest that chemical proteomic methods can serve as a universal strategy to profile the activity of the metalloprotease superfamily in complex biological systems.

Affinity Labels↗