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PubMed2006

Integration of genomic and metabonomic data in systems biology--are we 'there' yet?

The measurement of genes, proteins and metabolites has gained increasing acceptance as a means by which to study the response of an organism to stimuli, whether they are environmental, genetic, pharmacological, toxicological, etc. Typically referred to as genomics, proteomics, and metabonomics or metabolomics, respectively, these methods as independent entities have undoubtedly provided new biological insight that was not attainable a decade ago. Not surprisingly, scientists continue to push the boundaries to extract knowledge from data, and it is currently recognized that the full realization of these technologies is limited by a lack of tools to enable data integration. Integration of these 'omic datasets, or integromics, is desirable as it links the individual biological elements together to provide a more complete understanding of dynamic biological processes. Accordingly, in addition to developing new data analysis methods to extract further details from each of the high-content datasets individually, effort is also being expended to create or improve statistical methods, databases, annotations and pathway mapping to maximize our learning. There are several recent examples, in both mammalian and non-mammalian systems, in which genes, proteins and/or metabolites have been integrated using either biology- or data-driven strategies. Herein, key findings are reviewed, gaps in our current tools and technologies are identified and illustrated, and perspective is provided on the potential of integromics in biological research.

Acetaminophen↗
PubMed2006

Comparative proteome analysis of breast cancer and adjacent normal breast tissues in human.

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry (MALDI-TOF/TOF-MS), incorporated with online database searching, were performed to investigate differential proteins of breast cancer and adjacent normal breast tissues. Considering that serum albumin is abundantly presented in normal control samples, 15 differential spots detected in 11 out of 12 (91.7%) breast cancer samples were identified by online SIENA-2DPAGE database searching and MALDI-TOF/TOF-MS analysis. The results indicate that pathological changes of breast cancer are concerned with augmentation of substance metabolism, promotion of proteolytic activity, decline of activity of some inhibitors of enzymes, and so on. Some important proteins involved in the pathological process of breast cancer with changed expression may be useful biomarkers, such as alpha-1-antitrypsin, EF-1-beta, cathepsin D, TCTP, SMT3A, RPS12, and PSMA1, among which SMT3A, RPS12, and PSMA1 were first reported for breast cancer in this study.

Adult↗
PubMed2002

Protein array technology: the tool to bridge genomics and proteomics.

The generation of protein chips requires much more efforts than DNA microchips. While DNA is DNA and a variety of different DNA molecules behave stable in a hybridisation experiment, proteins are much more difficult to produce and to handle. Outside of a narrow range of environmental conditions, proteins will denature, lose their three-dimensional structure and a lot of their specificity and activity. The chapter describes the pitfalls and challenges in Protein Microarray technology to produce native and functional proteins and store them in a native and special environment for every single spot on an array, making applications like antibody profiling and serum screening possible not only on denatured arrays but also on native protein arrays.

Databases, Protein↗
PubMed2002

An iterative calibration method with prediction of post-translational modifications for the construction of a two-dimensional electrophoresis database of mouse mammary gland proteins.

Protein databases serve as general reference resources providing an orientation on two-dimensional electrophoresis (2-DE) patterns of interest. The intention behind constructing a 2-DE database of the water soluble proteins from wild-type mouse mammary gland tissue was to create a reference before going on to investigate cancer-associated protein variations. This database shall be deemed to be a model system for mouse tissue, which is open for transgenic or knockout experiments. Proteins were separated and characterized in terms of their molecular weight (M(r)) and isoelectric point (pI) by high resolution 2-DE. The proteins were identified using prevalent proteomics methods. One method was peptide mass fingerprinting by matrix-assisted laser desorption/ionization-mass spectrometry. Another method was N-terminal sequencing by Edman degradation. By N-terminal sequencing M(r) and pI values were specified more accurately and so the calibration of the master gel was obtained more systematically and exactly. This permits the prediction of possible post-translational modifications of some proteins. The mouse mammary gland 2-DE protein database created presently contains 66 identified protein spots, which are clickable on the gel pattern. This relational database is accessible on the WWW under the URL: http://www.mpiib-berlin.mpg.de/2D-PAGE.

Animals↗
PubMed2003

Global protein identification and quantification technology using two-dimensional liquid chromatography nanospray mass spectrometry.

A simple and reliable method is described here for the identification and relative quantification of proteins in complex mixtures using two-dimensional liquid chromatography/tandem mass spectrometry. The method is based on the classical proteomic analysis where proteins are digested with trypsin and the resulting peptides are separated by multidimensional liquid chromatography. The separated peptides are analyzed by tandem mass spectrometry and identified via a database search algorithm such as SEQUEST. The peak areas (integrated ion counts over the peptide elution time) of all identified peptides are calculated, and the relative concentration of each protein is determined by comparing the peak areas of all peptides from that protein in one sample versus those from the other. Using this strategy, we compared the relative level of protein expression of A431 cells (an epidermal cell line) grown in the presence or absence of epidermal growth factor (EGF). Our results are consistent with the published observations of the transient effects of EGF. In addition, the difference in the concentrations of several phosphopeptides determined in our studies suggests the possibility of several new targets involved in the EGF cell-signaling pathway. This global protein identification and quantification technology should prove to be a valuable means for comparing proteomes in biological samples subjected to differential treatments.

Amino Acid Sequence↗
PubMed2006

Multi-modality of pI distribution in whole proteome.

Multi-modality of pI distribution is a common feature in different whole proteomes. Some researchers considered it relate to the proteins with different subcellular locations, indicating the result of natural selection. We explored the pI distribution of predicted proteomes (including animals, plants, bacterium, archaeans) and random proteome [random protein sequences constructed according to the special amino acid composition and molecular weight (MW) distribution of human predicted proteome]. Our results suggest that the multi-modality is the result of discrete pK(R) values for different amino acids. Amino acid composition and MW distribution of a proteome also contributes to the specific pI distribution. Although protein subcellular location was related to pI value, our analyses revealed that comparing with the random proteome, neither the multi-modality phenomenon nor the distribution bias of pI values is caused by subcellular location. It seems that the multi-modality distribution is just a mathematical fun. The blank region near the neutral pI was caused by the absence of amino acids with neutral pK(R), and suggests that the selection of amino acids with ionizable side chain might be restricted by the requirement for a special pH environment during the origin of life. From this point of view, the special distribution was the result of natural selection.

Animals↗
PubMed2000

Expression databases--resources for pharmacogenomic R&D.

This review aims to outline the primary biological databases that are being generated to understand fundamental biology, identify new drug targets, and to look at compound profiling in a new light. We will give a brief overview of four of the main areas being studied in molecular biology: genomics, pharmacogenomics, pharmacogenetics and proteomics. Looking initially at each data set and some of its potential applications, we will go on to describe some of the potentially enormous advantages gained by fully integrating these data sets.

Animals↗
PubMed2001

Two-dimensional database of a Burkitt lymphoma cell line (DG 75) proteins: protein pattern changes following treatment with 5'-azycytidine.

Hypermethylation is an important mechanism for repression of tumor gene suppressor in cancer. The drug 5'-azacytidine (AZC) has been used as demethylating agent to induce the expression of previously silencing genes. In the present work, we attempted to determine, using proteomics, the changes in protein expression profiles following a treatment of an Epstein Barr virus (EBV)-negative Burkitt lymphoma (BL) cell line DG 75. The effects of the treatment in terms of cell viability and growth were first examined. The following observations were made: AZC treatment led to (i) a decrease in cell growth with an arrest of the cell at G0/G1 phase of the cell cycle, (ii) the expression of p16, a tumor-suppressor gene whose expression was dependent on its promoter demethylation. Proteomic study evidenced that AZC treatment affected protein expression in two different ways. Twenty-one polypeptides were down-expressed, while 14 showed an increased expression. Some of the upregulated proteins appeared related to the energy metabolism, to organization of cytoskeletal structures, and to cell viability and protein synthesis. We also established a reference map for proteins in DG 75 cell line, comprising 74 different polypeptides corresponding to 67 proteins. This map will be accessible via Internet as a resource for proteome analyses of B-cells. Taken together, the results presented here highlight new insights into lymphoma cell gene regulations following a treatment of lymphoma cells with AZC and illustrate a use of proteomics to evidence the direct and indirect effects of a drug and the pathways it possibly regulates.

Antimetabolites, Antineoplastic↗
PubMed2007

Proteomic response to intracellular proteins of Monascus pilosus grown under phosphate-limited complex medium with different growth rates and pigment production.

Monascus pigments are important colorings in food applications. Rice containing potassium phosphate and sodium nitrate was reported as a good pigment-producing medium for Monascus in previous studies. We found that the lack of potassium phosphate in this medium depressed red pigment production in cultivated Monascus pilosus. However, the influence of phosphate limitation on the biochemical metabolisms concerning culture growth and pigment production in Monascus remains unknown. Here, we used proteomic analysis by two-dimensional gel electrophoresis, matrix-assisted laser desorption ionization time-of-flight/time-of-flight mass spectrometry (MALDI-TOF/TOF MS), tandem mass spectrometry (MS/MS), and database interrogation to separate and identify the proteins of M. pilosus grown between the lack of potassium phosphate and the control media. Phosphate limitation to this complex medium induced an up-regulation of aldehyde dehydrogenase and several glycolytic enzymes in Monascus relative to the control. In contrast, the metabolic enzymes such as glucosamine:fructose-6-phosphate aminotransferase and ADP-ribosylation factor 1 were up-regulated in the control.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2004

Comparative proteome analysis of cellular proteins extracted from highly virulent Francisella tularensis ssp. tularensis and less virulent F. tularensis ssp. holarctica and F. tularensis ssp. mediaasiatica.

Francisella tularensis is the causative agent of the zoonotic disease tularemia. Four subspecies of this pathogen, namely ssp. tularensis, mediaasiatica, holarctica, and novicida are spread throughout the northern hemisphere. Although there are marked variations in their virulence to mammals, the subspecies are difficult to identify as they are closely genetically related. We carried out the comparative proteome analysis of cellular extracts from isolates representing the highly virulent subspecies tularensis, and the less virulent subspecies mediaasiatica and holarctica in order to identify new diagnostic markers and putative factors of virulence. We identified 27 protein spots that were either specifically present or at significantly higher abundance in ssp. tularensis strains, 22 proteins in ssp. mediaasiatica strains, and 26 proteins in ssp. holarctica strains. Subspecies tularensis-specific proteins might represent putative virulence factors. Of 27 identified tularensis-specific spots 17 represented charge and mass variants of proteins occurring in other subspecies, 7 spots were found to be present at higher abundance, and 3 spots were specifically present in tularensis strains. Amongst them, PilP protein, as a component necessary for the biogenesis of the type IV pilus, virulence and adhesion factor for many human pathogen, was identified. Furthermore, the identification of additional 27 proteins common for ssp. tularensis and mediaasiatica, and 19 proteins shared by ssp. mediaasiatica and holarctica documented apparent closer genetic similarity between ssp. tularensis and mediaasiatica.

Bacterial Proteins↗
PubMed2005

Predicting membrane protein type by functional domain composition and pseudo-amino acid composition.

Given the sequence of a protein, how can we predict whether it is a membrane protein or non-membrane protein? If it is, what membrane protein type it belongs to? Since these questions are closely relevant to the function of an uncharacterized protein, their importance is self-evident. Particularly, with the explosion of protein sequences entering into databanks and the relatively much slower progress in using biochemical experiments to determine their functions, it is highly desired to develop an automated method that can be used to give a fast answers to these questions. By hybridizing the functional domain (FunD) and pseudo-amino acid composition (PseAA), a new strategy called FunD-PseAA predictor was introduced. To test the power of the predictor, a highly non-homologous data set was constructed where none of proteins has 25% sequence identity to any other. The overall success rates obtained with the FunD-PseAA predictor on such a data set by the jackknife cross-validation test was 85% for the case in identifying membrane protein and non-membrane protein, and 91% in identifying the membrane protein type among the following 5 categories: (1) type-1 membrane protein, (2) type-2 membrane protein, (3) multipass transmembrane protein, (4) lipid chain-anchored membrane protein, and (5) GPI-anchored membrane protein. These rates are much higher than those obtained by the other methods on the same stringent data set, indicating that the FunD-PseAA predictor may become a useful high throughput tool in bioinformatics and proteomics.

Amino Acid Sequence↗
PubMed2006

Phosphopeptide modification and enrichment by oxidation-reduction condensation.

Many cellular processes are regulated by the reversible phosphorylation of proteins. Despite the importance of monitoring protein phosphorylation, available methods to modify and enrich phosphopeptides from complex mixtures for subsequent mass spectrometric analysis are challenging. Here the oxidation-reduction condensation was shown for the first time to directly modify the phosphate of phosphopeptides and phosphoproteins. By coupling with a solid-phase resin, the oxidation-reduction condensation was validated for capture and recovery of phosphoserine-, phosphothreonine-, and phosphotyrosine-containing peptides from a peptide mixture. In addition, full-length phosphoproteins or phosphopeptides from a protein digestion were captured and recovered using the oxidation-reduction condensation, demonstrating its compatibility with protein mixtures. The strategy modifies all phosphopeptides, maintains high chemical selectivity, requires only two steps, and relies on commercially available reagents, suggesting that the oxidation-reduction condensation has the potential to enhance phosphopeptide enrichment methods and encourage development of efficient biochemical and proteomics tools targeting phosphorylation.

Amino Acid Sequence↗
PubMed2004

POLYVIEW: a flexible visualization tool for structural and functional annotations of proteins.

UNLABELLED: The POLYVIEW visualization server can be used to generate protein sequence annotations, including secondary structures, relative solvent accessibilities, functional motifs and polymorphic sites. Two-dimensional graphical representations in a customizable format may be generated for both known protein structures and predictions obtained using protein structure prediction servers. POLYVIEW may be used for automated generation of pictures with structural and functional annotations for publications and proteomic on-line resources. AVAILABILITY: http://polyview.cchmc.org.

Algorithms↗
PubMed2006

Co-expression of protein complexes in prokaryotic and eukaryotic hosts: experimental procedures, database tracking and case studies.

Structure determination and functional characterization of macromolecular complexes requires the purification of the different subunits in large quantities and their assembly into a functional entity. Although isolation and structure determination of endogenous complexes has been reported, much progress has to be made to make this technology easily accessible. Co-expression of subunits within hosts such as Escherichia coli and insect cells has become more and more amenable, even at the level of high-throughput projects. As part of SPINE (Structural Proteomics In Europe), several laboratories have investigated the use co-expression techniques for their projects, trying to extend from the common binary expression to the more complicated multi-expression systems. A new system for multi-expression in E. coli and a database system dedicated to handle co-expression data are described. Results are also reported from various case studies investigating different methods for performing co-expression in E. coli and insect cells.

Algorithms↗
PubMed2006

Isolation of Escherichia coli inner membranes by metal affinity two-phase partitioning.

As reduction of sample complexity is a central issue in membrane proteomic research, the need for new pre-fractionation methods is significant. Here we present a method for fast and efficient enrichment of Escherichia coli inner membranes expressing a His-tagged integral membrane L-fucose-proton symporter (FucP). An enriched inner membrane fraction was obtained from a crude membrane mixture using affinity two-phase partitioning in combination with nickel-nitrilotriacetic acid (Ni-NTA) immobilized on agarose beads. Due to interaction between the beads and FucP, inner membranes were selectively partitioned to the bottom phase of a polymer/polymer aqueous two-phase system consisting of poly(ethylene glycol) (PEG) and dextran. The partitioning of membranes was monitored by assaying the activity of an inner membrane marker protein and measuring the total protein content in both phases. The enrichment of inner membrane proteins in the dextran phase was also investigated by proteomic methodology, including sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), trypsin digestion and liquid chromatography in combination with tandem mass spectrometry (LC-MS/MS). Using a high level of significance (99.95%) in the subsequent database search, 36 proteins assigned to the inner membrane were identified in the bottom phase, compared to 29 when using the standard sucrose gradient centrifugation method for inner membrane isolation. Furthermore, metal affinity two-phase partitioning was up to 10 times faster than sucrose gradient centrifugation. The separation conditions in these model experiments provide a basis for the selective isolation of E. coli membranes expressing His-tagged proteins and can therefore facilitate research on such membrane proteomes.

Blotting, Western↗
PubMed2005

Families of membranous proteins can be characterized by the amino acid composition of their transmembrane domains.

SUMMARY: In eukaryotes, membranous proteins account for 20-30% of the proteome. Most of these proteins contain one or more transmembrane (TM) domains. These are short segments that transverse the bilayer lipid membrane. Various properties of the TM domains, such as their number, their topology and their arrangement within the membrane, are closely related to the protein's cellular functions. The properties of the TM domains also determine the cellular targeting and localization of these proteins. It is not known, however, whether the information encoded by TM domains suffices for the purpose of classifying proteins into their functional families. This is the question we address here. We introduce an algorithm that creates a profile of each functional family of membranous proteins based only on the amino acid composition of their TM domains. This is complemented by a classifier program for each such family (to determine whether a given protein belongs to it or not). We find that in most instances TM domains contain enough information to allow an accurate discrimination of approximately 80% sensitivity and approximately 90% specificity among unrelated polytopic functional families with the same number of TM domains. SUPPLEMENTARY INFORMATION: Available at www.protonet.cs.huji.ac.il/TM/

Algorithms↗
PubMed2005

Proteomic approach to blossom-end rot in tomato fruits (Lycopersicon esculentum M.): antioxidant enzymes and the pentose phosphate pathway.

Blossom-end rot (BER) is a physiopathy that affects tomato fruits causing disorganisation, cell breakage and darkening of the tissues. In this study we describe a tomato fruit protein extraction protocol that includes polyvinyl polypyrrolidone, ascorbic acid and protease inhibitors to promote depletion of phenolics and to avoid protein degradation. The temperature-induced phase separation of plant extracts with nonionic detergent Triton X-114 favours the solubilisation of partially-hydrophobic species in the low-detergent upper phase, making them suitable for further analysis using two-dimensional gel electrophoresis. The analysis of two-dimensional images revealed differences in number and expression levels of several proteins from the control and BER-affected tomato fruits. Although the appearance of BER in tomato is primarily attributed to a lack of calcium supply to fruits, very little is known about the molecular and biochemical mechanisms involved. The identification of differential proteins from affected fruits with matrix-assisted laser desorption/ionisation-time of flight and peptide mass fingerprinting analysis revealed the induction of proteins participating in antioxidant processes (ascorbate-glutathione cycle) and the pentose phosphate pathway. We suggest that these two biochemical pathways, acting as reactive oxygen species scavengers in BER-affected fruits, restrain the spread of the blackening to the whole fruit.

Antioxidants↗
PubMed2006

HUPO Brain Proteome Project: summary of the pilot phase and introduction of a comprehensive data reprocessing strategy.

The Human Proteome Organisation (HUPO) initiated several projects focusing on the proteome analysis of distinct human organs. The Brain Proteome Project (BPP) is the initiative dedicated to the brain, its development and correlated diseases. Two pilot studies have been performed aiming at the comparison of techniques, laboratories and approaches. With the help of the results gained, objective data submission, storage and reprocessing workflow have been established. The biological relevance of the data will be drawn from the inter-laboratory comparisons as well as from the re-calculation of all data sets submitted by the different groups. In the following, results of the single groups as well as the centralised reprocessing effort will be summarised and compared, showing the added value of this concerted work.

Animals↗