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PubMed2001

Glycome project: concept, strategy and preliminary application to Caenorhabditis elegans.

Glycans play a central role as potential mediators between complex cell societies, because all living organisms consist of cells covered with diverse carbohydrate chains reflecting various cell types and states. However, we have no idea how diverse these carbohydrate chains actually are. The main purpose of this article is to persuade life scientists to realize the fundamental importance of taking some action by becoming involved in "glycomics". "Glycome" is a term meaning the whole set of glycans produced by individual organisms, as the third bioinformative macromolecules to be elucidated next to the genome and proteome. Here a basic strategy is presented. The essence of the project includes the following: (a) glycopeptides, but not glycans released from their core proteins, are targeted for linkage to genome databases; (b) Caenorhabditis elegans is used as the first model organism for this project, since its genome project has already been completed; (c) four essential attributes are adopted to characterize each glycopeptide: (i) cosmid identification number (ID), (ii) molecular weight (M(r)), (iii) retention (Rs) of pyridylaminated (PA) oligosaccharides in 2-D mapping, and (iv) dissociation constants (Kd's) of PA-oligosaccharides for a set of lectins. Thus, the obtained ID, M(r), R and Kd's construct the glycome database, which will be open as the previous genome and proteome databases. For the project to proceed the "glyco-catch" method is proposed, where a group of target glycopeptides are captured by means of lectin-affinity chromatography after protease digestion. Already glycopeptides from asialofetuin and ovalbumin were successfully captured by galectin-agarose and Con A-agarose, respectively. Further, to examine the practical validity of the method, we extracted membrane proteins from C. elegans with 1% Triton X-100, and isolated specific glycopeptides by use of the same galectin column. One of the glycopeptides was successfully identified in the C. elegans genome database. Finally, for determination of Kd between glycopeptides and lectins, a recently reinforced frontal affinity chromatography (FAC) is proposed as an alternative to define glycan structures in place of determining every covalent structure.

Animals↗
PubMed2004

3D-GENOMICS: a database to compare structural and functional annotations of proteins between sequenced genomes.

The 3D-GENOMICS database (http://www.sbg.bio. ic.ac.uk/3dgenomics/) provides structural annotations for proteins from sequenced genomes. In August 2003 the database included data for 93 proteomes. The annotations stored in the database include homologous sequences from various sequence databases, domains from SCOP and Pfam, patterns from Prosite and other predicted sequence features such as transmembrane regions and coiled coils. In addition to annotations at the sequence level, several precomputed cross- proteome comparative analyses are available based on SCOP domain superfamily composition. Annotations are available to the user via a web interface to the database. Multiple points of entry are available so that a user is able to: (i) directly access annotations for a single protein sequence via keywords or accession codes, (ii) examine a sequence of interest chosen from a summary of annotations for a particular proteome, or (iii) access precomputed frequency-based cross-proteome comparative analyses.

Amino Acid Sequence↗
PubMed2003

Data mining crystallization databases: knowledge-based approaches to optimize protein crystal screens.

Protein crystallization is a major bottleneck in protein X-ray crystallography, the workhorse of most structural proteomics projects. Because the principles that govern protein crystallization are too poorly understood to allow them to be used in a strongly predictive sense, the most common crystallization strategy entails screening a wide variety of solution conditions to identify the small subset that will support crystal nucleation and growth. We tested the hypothesis that more efficient crystallization strategies could be formulated by extracting useful patterns and correlations from the large data sets of crystallization trials created in structural proteomics projects. A database of crystallization conditions was constructed for 755 different proteins purified and crystallized under uniform conditions. Forty-five percent of the proteins formed crystals. Data mining identified the conditions that crystallize the most proteins, revealed that many conditions are highly correlated in their behavior, and showed that the crystallization success rate is markedly dependent on the organism from which proteins derive. Of the proteins that crystallized in a 48-condition experiment, 60% could be crystallized in as few as 6 conditions and 94% in 24 conditions. Consideration of the full range of information coming from crystal screening trials allows one to design screens that are maximally productive while consuming minimal resources, and also suggests further useful conditions for extending existing screens.

Archaeal Proteins↗
PubMedDate not supplied

Proteome analysis in the study of lymphoma cells.

This review provides an overview on recent studies in the field of proteome analysis of lymphoma cells, and highlights the potentials of such studies for a better knowledge of drug effects at the molecular level. After giving general information on the field of proteome analysis of lymphoma cells, some characteristics of the strategies used during this analysis are pointed out, such as cell extraction strategies and affinity captures. Therefore, the issue of proteome analysis of lymphoma cells content will be covered with respect to those protein extracts that can be prepared in saline solutions, such as cytoplasm proteins, or that are associated with the cell membranes. The question of which kinds of information have been retrieved from lymphoma-cell proteomics is discussed on the basis of several examples-lymphoma cell-mapping studies and constitution of protein databases, and comparative proteome analysis studies of the modifications that result from a drug treatment.

Animals↗
PubMed2003

The human proteome organization (HUPO) and environmental health.

The Human Proteome Organization, or HUPO, was formed to promote research and large-scale analysis of the human proteome. By consolidating national proteome organizations into an international body, HUPO will coordinate international initiatives, biological resources, protocols, standards and data for studying the human proteome. HUPO has identified five key areas to advance study of the human proteome, specifically in bioinformatics, new technologies, the plasma proteome, cell models, and a public antibody initiative. Consideration of three major issue areas may help develop HUPO's strategy for human proteome study. First is the need to distinguish the value of high throughput platforms from discovery platforms in proteomics. Second is the importance for international planning on integrating both transcriptome and proteome data and databases. Last is that effects of the environment from chemical, physical, and biological exposures alter the expression and structure of the proteome, which become manifest in long-term adverse health effects and disease. Environmental health research stands to greatly benefit from the shared resources, data, and vision of the HUPO organization as a valuable resource in exploiting knowledge of the human proteome toward improving public health.

Computational Biology↗
PubMed2001

Construction of a Francisella tularensis two-dimensional electrophoresis protein database.

We have started the construction of a two-dimensional database of the proteome of Francisella tularensis, a bacterium that is responsible for the highly pathogenic disease tularemia. The genome of this intracellular pathogen is not completely sequenced yet and, currently, information about only 66 proteins is available from NCBI database. We have analyzed the F. tularensis live vaccine strain by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient in the first dimension and 9-16% gradient or tricine SDS-PAGE in the second dimension. In both cases about 2000 spots were detected. Furthermore, we compared the protein pattern of the nonvirulent F. tularensis live vaccine strain with protein profiles of two wild type clinical isolates and more than 50 differentially expressed proteins were counted. The separated proteins are going to be identified by peptide mass fingerprinting. However, due to the lack of complete genome sequence data only eight proteins were unambiguously identified. Among them, acid phosphatase and the most basic isoform of a hypothetical 23 kDa protein are characteristic only for virulent strains.

Bacterial Proteins↗
PubMed2004

LIFEdb: a database for functional genomics experiments integrating information from external sources, and serving as a sample tracking system.

We have implemented LIFEdb (http://www.dkfz.de/LIFEdb) to link information regarding novel human full-length cDNAs generated and sequenced by the German cDNA Consortium with functional information on the encoded proteins produced in functional genomics and proteomics approaches. The database also serves as a sample-tracking system to manage the process from cDNA to experimental read-out and data interpretation. A web interface enables the scientific community to explore and visualize features of the annotated cDNAs and ORFs combined with experimental results, and thus helps to unravel new features of proteins with as yet unknown functions.

Automation↗
PubMed2003

A comparative proteomics resource: proteins of Arabidopsis thaliana.

Using an integrative genome annotation pipeline (iGAP) for proteome-wide protein structure and functional domain assignment, we analyzed all the proteins of Arabidopsis thaliana. Three-dimensional structures at the level of the domain are assigned by fold recognition and threading based on a novel fold library that extends common domain classifications. iGAP is being applied to proteins from all available proteomes as part of a comparative proteomics resource. The database is accessible from the web.

Arabidopsis↗
PubMed2002

Exploring the proteome of Plasmodium.

With the entire genomic sequence of several species of Plasmodium soon to be available, researchers are now focusing on methods to study gene and protein expression at the whole organism level. Traditional methods of characterising and identifying large numbers of proteins from a complex protein mixture have relied predominantly on two-dimensional gel electrophoresis combined with N-terminal sequencing or mass spectrometry of individually prepared proteins. New proteomics methods are now available that are based on resolving small peptides derived from complex protein mixtures by high-resolution liquid chromatography and directly identifying them by tandem mass spectrometry (LC/LC/MS/MS) and sophisticated computer search algorithms against whole genome sequence databases. These newer proteomic methods have the potential to accelerate the reproducible identification of large numbers of proteins from various life cycle stages of Plasmodium and may help to better understand parasite biology and lead to the identification of new targets of vaccines and drugs.

Animals↗
PubMed1998

Mining the human proteome: experience with the human lymphoid protein database.

We have undertaken an effort in the past five years aimed at developing a database of lymphoid proteins detectable by two-dimensional (2-D) polyacrylamide gel electrophoresis. The database contains 2-D patterns and derived information pertaining to: (i) polypeptide constituents of unstimulated and stimulated mature T cells and immature thymocytes; (ii) cultured T cells and cell lines that have been manipulated by transfection with a variety of constructs or by treatment with specific agents; (iii) single cell-derived T and B cell clones; (iv) cells obtained from patients with lymphoproliferative disorders and leukemia; and (v) a variety of other relevant cell populations. The database has experienced a substantial expansion in 2-D patterns it contains, numbering currently 9167 individual 2-D patterns. This number represents a fraction of the 30,682 2-D patterns maintained in our databases. The capacity to design and undertake experiments, produce high-quality 2-D patterns, and to undertake simple or rudimentary analyses of 2-D patterns to meet the basic needs of the experiments for which the 2-D gels were produced has exceeded the capacity to fully and uniformly integrate information generated from any gel image or experiment, across all images and experiments. While only a fraction of the information in the 2-D patterns contained in the lymphoid database has been mined, novel findings derived from querying the database point to the merits of this protein based approach. Additional resources have recently been put into place to mine more effectively data pertaining to protein expression in lymphoid cells.

Cell Cycle↗
PubMed2003

[Application of proteomic approach for solid tumor marker discovery].

In the post-genome era, the major mission of biology is to understand the functions of genome. To well know the whole book of genes, the proteins coded by different genes have to be studied more deeply since they are the final representatives of the specific genes. Proteomics is the key issue in the bioscience research. Using the two dimensional electrophoresis technique, the total proteins of tumor cells or tissues can be profiled first by their molecular weight and isoelectric points, after that, the specific interested proteins can be identified via mass spectrometry analysis combining with database searching. Cancer proteomics is a main part of the proteomics, by which we can understand the protein profiles during the different stages of the tumorigenesis and it brought a new hope for discovery of the tumor-specific biomarkers. Recently using proteomic tools with the laser capture microdissection (LCM) technique, more achievements have been made and many promising candidates of tumor-markers have been identified even most of them have not affirmed yet. This article will give a brief review about that.

Biomarkers, Tumor↗
PubMedDate not supplied

Prospective highlights of functional skin proteomics.

Although a wide variety of protein profiles have been extensively constructed via proteomic analysis, the comprehensive proteomic profiling of the skin, which is considered to be the largest organ of the human body, is still far from complete. Our efforts to establish the functional skin proteome, a protein database describing the protein networks that underlie biological processes, has set in motion the identification and characterization of proteins expressed in the epidermis and dermis of the BALB/c mice. In this review, we will highlight various cutaneous proteins we have characterized and discuss their biological functions associated with skin distress, immunity, and cancer. This type of research into functional skin proteomics will provide a critical step toward understanding disease and developing successful therapeutic strategies.

Animals↗
PubMed2004

Proteomics-based identification of novel Candida albicans antigens for diagnosis of systemic candidiasis in patients with underlying hematological malignancies.

Systemic candidiasis remains a major cause of disease and death, particularly among patients suffering from hematological malignancies. In an attempt to contribute to the discovery of useful biomarkers for its diagnosis and therapeutic monitoring, we embarked on a mapping of Candida albicans immunogenic proteins specifically recognized by antibodies produced during the natural course of systemic Candida infection in this high-risk population. About 85 immunoreactive protein species were detected with systemic candidiasis patients' serum specimens by using immunoproteomics (i.e., two-dimensional electrophoresis followed by Western blotting), and identified through a combination of peptide mass fingerprinting by matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS), de novo peptide sequencing using nano-electrospray ionization-ion trap (ESI-IT) MS, and genomic database searches. This proteomic approach has led to the characterization of 42 different housekeeping enzymes as C. albicans antigens. Their biological significance is also discussed. Furthermore, this study is the first to report that 26 of them exhibit antigenic properties in C. albicans, and 35 of them become targets of the human antibody response to systemic candidiasis. Our findings suggest that the production of antibodies to C. albicans phosphoglycerate kinase and alcohol dehydrogenase during systemic candidiasis could be associated with a differentiation of the human immune response. We also highlight the relationship between changes in maintenance of circulating levels of specific anti-Candida antibodies and patients' outcome. Some of these variations, especially the rise of high anti-enolase antibody concentrations, appear to be related to recovery from systemic candidiasis in these patients, which might serve as markers for predicting their outcome. This approach could therefore provide new challenges for diagnosis and clinical follow-up of these fungal infections, and even for antifungal drug or vaccine design.

Adult↗
PubMed2001

Establishment of a root proteome reference map for the model legume Medicago truncatula using the expressed sequence tag database for peptide mass fingerprinting.

We have established a proteome reference map for Medicago truncatula root proteins using two-dimensional gel electrophoresis combined with peptide mass fingerprinting to aid the dissection of nodulation and root developmental pathways by proteome analysis. M. truncatula has been chosen as a model legume for the study of nodulation-related genes and proteins. Over 2,500 root proteins could be displayed reproducibly across an isoelectric focussing range of 4-7. We analysed 485 proteins by peptide mass fingerprinting, and 179 of those were identified by matching against the current M. truncatula expressed sequence tag (EST) database containing DNA sequences of approximately 105,000 ESTs. Matching the EST sequences to available plant DNA sequences by BLAST searches enabled us to predict protein function. The use of the EST database for peptide identification is discussed. The majority of identified proteins were metabolic enzymes and stress response proteins, and 44% of proteins occurred as isoforms, a result that could not have been predicted from sequencing data alone. We identified two nodulins in uninoculated root tissue, supporting evidence for a role of nodulins in normal plant development. This proteome map will be updated continuously (http://semele.anu.edu.au/2d/2d.html) and will be a powerful tool for investigating the molecular mechanisms of root symbioses in legumes.

Databases as Topic↗
PubMed2000

A proteomic analysis of organelles from Arabidopsis thaliana.

We introduce the use of Arabidopsis thaliana callus culture as a system for proteomic analysis of plant organelles using liquid-grown callus. This callus is relatively homogeneous, reproducible and cytoplasmically rich, and provides organelles in sufficient quantities for proteomic studies. A database was generated of mitochondrial, endoplasmic reticulum (ER), Golgi/prevacuolar compartment and plasma membrane (PM) markers using two-dimensional sodium dodecyl sulphate-polyacrylamide gel electrophoresis (2-D SDS-PAGE) and peptide sequencing or mass spectrometric methods. The major callus membrane-associated proteins were characterised as being integral or peripheral by Triton X-114 phase partitioning. The database was used to define specific proteins at the Arabidopsis callus plasma membrane. This database of organelle proteins provides the basis for future characterisation of the expression and localisation of novel plant proteins.

Amino Acid Sequence↗
PubMed2003

[Comparative proteomics research of apoptosis initiation induced by homoharringtonine in HL-60 cells].

OBJECTIVE: To study the related proteins of apoptosis initiation induced by homoharringtonine (HHT) in HL-60 cells. METHODS: After establishment of an apoptosis initiation model induced by HHT in HL-60 cells, proteins of untreated and HHT treated HL-60 cells were extracted, and the two-dimensional polyacrylamide gel electrophoresis (2-DE) maps of the extracted proteins were established by using the immobilized pH gradient (IPG) two-dimensional electrophoresis respectively. The alteration protein spots were identified with assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and database searching. RESULTS: Proteomics analysis showed that proteins including MHC class I antigen, calbindin D-28K, chloride channel protein 6, oncoprotein 18, zinc finger protein Helios and apoptosis inhibitor like protein 2 were involved in apoptosis initiation induced by HHT. CONCLUSION: The present study might conduce to the researches of HL-60 cells carcinogenesis and pave the way to exploit drug precursor related to HHT and initiation of apoptosis in HL-60 cells.

Antineoplastic Agents, Phytogenic↗
PubMed2004

[Establishment of protein profile of human small cell lung cancer cell line NCI-H446].

BACKGROUND & OBJECTIVE: Small cell lung cancer (SCLC) is particularly aggressive, and characterized by rapid growth and early metastasis. At present, there is no data concerning SCLC two-dimensional polyacrylamide gel electrophoresis (2-DE) reference map,and its protein profiles in public databases. This study was to establish a well-resolved, reproducible 2-DE map of proteome in SCLC cell line NCI-H446, and analyze its protein profiles. METHODS: Two-DE was applied to separate the total proteins of NCI-H446 cells, which were then silver-stained in the gel. Well-separated protein spots were selected from the gel by ImageMaster 2D analysis system. Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), peptide map fingerprinting (PMF),and database searching were used to identify the protein spots. RESULTS: Clear,well-resolved, reproducible 2-DE patterns of proteome in NCI-H446 cells were obtained. The average protein spots of 3 gels were 1506+/-74; and 1412+/-56 spots were matched with an average matching rate of 93.4%. The average deviation of spot position was (0.96+/-0.27) mm in IEF direction, and (1.24+/-0.41) mm in SDS-PAGE direction indicating relatively good reproducibility of the protein spots. Fifty-eight proteins were identified, certain proteins were products of oncogenes, and others were involved in cell cycle regulation, and signal transduction. CONCLUSIONS: A reference map of NCI-H446 cells was established,certain proteins were identified by MALDI-TOF-MS and PMF. These data will be useful for establishing human SCLC proteome database.

Amino Acid Sequence↗