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PubMed2006

MitoRes: a resource of nuclear-encoded mitochondrial genes and their products in Metazoa.

BACKGROUND: Mitochondria are sub-cellular organelles that have a central role in energy production and in other metabolic pathways of all eukaryotic respiring cells. In the last few years, with more and more genomes being sequenced, a huge amount of data has been generated providing an unprecedented opportunity to use the comparative analysis approach in studies of evolution and functional genomics with the aim of shedding light on molecular mechanisms regulating mitochondrial biogenesis and metabolism. In this context, the problem of the optimal extraction of representative datasets of genomic and proteomic data assumes a crucial importance. Specialised resources for nuclear-encoded mitochondria-related proteins already exist; however, no mitochondrial database is currently available with the same features of MitoRes, which is an update of the MitoNuc database extensively modified in its structure, data sources and graphical interface. It contains data on nuclear-encoded mitochondria-related products for any metazoan species for which this type of data is available and also provides comprehensive sequence datasets (gene, transcript and protein) as well as useful tools for their extraction and export. DESCRIPTION: MitoRes http://www2.ba.itb.cnr.it/MitoRes/ consolidates information from publicly external sources and automatically annotates them into a relational database. Additionally, it also clusters proteins on the basis of their sequence similarity and interconnects them with genomic data. The search engine and sequence management tools allow the query/retrieval of the database content and the extraction and export of sequences (gene, transcript, protein) and related sub-sequences (intron, exon, UTR, CDS, signal peptide and gene flanking regions) ready to be used for in silico analysis. CONCLUSION: The tool we describe here has been developed to support lab scientists and bioinformaticians alike in the characterization of molecular features and evolution of mitochondrial targeting sequences. The way it provides for the retrieval and extraction of sequences allows the user to overcome the obstacles encountered in the integrative use of different bioinformatic resources and the completeness of the sequence collection allows intra- and interspecies comparison at different biological levels (gene, transcript and protein).

Animals↗
PubMed2006

Proteomic analysis of Entamoeba histolytica.

In this study, the proteome of axenically grown Entamoeba histolytica parasites was explored by two-dimensional gel electrophoresis (2-DE), employing a practical and effective procedure for the solubilization of E. histolytica proteins. Approximately 900 protein species in the pH range between 4 and 7 were detected by Coomassie Blue staining. Ninety-five spots were excised, trypsinated and subjected to mass spectrometry. The resultant data from peptide mass fingerprints were compared with those available in the E. histolytica genome and the (non-redundant) National Center for Biotechnology Information (NCBI) databases for the identification and categorization of proteins. Sixty-three of the proteins identified were predicted to relate to the cytoskeleton, surface, glycolysis, RNA/DNA metabolism, the ubiquitin-proteasome system, vesicular trafficking and signal transduction. The present study demonstrates, for the first time, that corresponding genes are indeed expressed in E. histolytica and provides a foundation for further proteomic studies of this parasite.

Animals↗
PubMed2005

Utility of electrophoretically derived protein mass estimates as additional constraints in proteome analysis of human serum based on MS/MS analysis.

The proteome of a HUPO human serum reference sample was analyzed using multidimensional separation techniques at both the protein and the peptide levels. To eliminate false-positive identifications from the search results, we employed a data filtering method using molecular weight (MW) correlations derived from denaturing 1-DE. First, the six most abundant serum proteins were removed from the sample using immunoaffinity chromatography. 1-DE was then used to fractionate the remaining serum proteins according to the MW. Gel bands were isolated and in-gel digested with trypsin, and the resulting peptides were analyzed by 2-D LC/ESI-MS/MS. A SEQUEST search using the MS/MS results identified 494 proteins. Of these, 202 were excluded formally using protein data filtering as they were single-assignment proteins and their theoretical and electrophoretically-derived MWs did not correlate at high confidence. To evaluate this method, the results were compared with those of 1-D LC/MALDI-TOF/TOF and HUPO Plasma Proteome Project analyses. Our data filtering approach proved valuable in analysis of complex, large-scale proteomes such as human serum.

Amino Acid Sequence↗
PubMed2004

Analysis of the compositional biases in Plasmodium falciparum genome and proteome using Arabidopsis thaliana as a reference.

Comparative genomic analysis of the malaria causative agent, Plasmodium falciparum, with other eukaryotes for which the complete genome is available, revealed that the genome from P. falciparum was more similar to the genome of a plant, Arabidopsis thaliana, than to other non-apicomplexan taxa. Plant-like sequences are thought to result from horizontal gene transfers after a secondary endosymbiosis involving an algal ancestor. The use of the A. thaliana genome and proteome as a reference gives an opportunity to refine our understanding of the extreme compositional bias in the P. falciparum genome that leads to a proteome-wide amino acid bias. A set of pairs of non-redundant protein homologues was selected owing to rigorous genome-wide sequence comparison methods. The introduction of A. thaliana as a reference was a mean to weight the magnitude of the protein evolutionary divergence in P. falciparum. The correlation of the amino acid proportions with evolutionary time supports the hypothesis that amino acids encoded by GC-rich codons are directionally substituted into amino acids encoded by AT-rich codons in the P. falciparum proteome. The long-term deviation of codons in malarial sequences appears as a possible consequence of a genome-wide tri-nucleotidic signature imprinting. Additionally, this study suggests possible working guidelines to improve the accuracy of P. falciparum sequence comparisons, for homology searches and phylogenetic studies.

AT Rich Sequence↗
PubMed2001

Separation and identification of rat skeletal muscle proteins using two-dimensional gel electrophoresis and mass spectrometry.

Skeletal muscle plays a major role in whole body protein metabolism, and changes in the rates of synthesis and degradation of proteins are likely to lead to characteristic changes in the amounts of different proteins in muscle under various physiological and pathological conditions. This paper demonstrates the feasibility of a proteomic approach to analyzing the protein composition of skeletal muscle. We report here the initial establishment of two-dimensional gel electrophoresis (2-D PAGE) reference maps for mixed skeletal muscle taken from the abdominal wall of a normal adult rat. We used immobilized pH gradients of 3-10 (non-linear) and 4-7 (linear), and matrix assisted laser desorption/ionization--time of flight mass spectrometry for protein identification by peptide mass fingerprinting. More than 600 protein spots were detected on each gel, of which 100 were excised and characterized. In-gel digestion followed by peptide mass fingerprinting enabled tentative identification of 74 of these, which included a wide range of myofibrillary and sarcoplasmic proteins. This database should provide the nucleus of a valuable resource for investigation of the biochemical basis of skeletal muscle pathologies in general and such specific disorders as alcoholic myopathy and injury.

Animals↗
PubMed2002

A functional proteomic analysis of secreted fibrinolytic enzymes from Bacillus subtilis 168 using a combined method of two-dimensional gel electrophoresis and zymography.

Here we describe a proteomic approach to detect fibrinolytic enzymes from the culture supernatant of Bacillus subtilis 168. Following isoelectric focusing without dithiothreitol, two gels, one for sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and the other for zymography, were run in parallel. After silver staining of SDS-PAGE and activity staining of zymography gel, the two gels were superimposed to detect protein spots that coincided with clear zones on the zymography gel. We identified four protein spots and characterized them with matrix-assisted laser desorption/ionization mass spectrometry. Database search revealed that four spots contained at least one of the extracellular serine proteases such as WprA and Vpr. This combined method of two-dimensional gel and zymography can be used as a powerful tool to detect proteases from various organisms.

Animals↗
PubMedDate not supplied

Matching 2D gel electrophoresis images.

Automatic alignment (matching) of two-dimensional gel electrophoresis images is of primary interest in the field of proteomics. The proposed method of 2D gel image matching is based on fuzzy alignment of features, extracted from gels' images, and it allows both global and local interpolation of image grid, followed by brightness interpolation. Method performance is tested on simulated images and gel images available via the Internet databases.

Algorithms↗
PubMedDate not supplied

Bioinformatics and genomic medicine.

Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational science. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolution in both bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high-throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever, in much the same way that biochemistry did a generation ago. This paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine-learning algorithms are discussed. Use of integrative biochip informatics technologies, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and the integrated management of biomolecular databases, are also discussed.

Computational Biology↗
PubMed2005

Proteogenomic approaches for the molecular characterization of natural microbial communities.

At the present time we know little about how microbial communities function in their natural habitats. For example, how do microorganisms interact with each other and their physical and chemical surroundings and respond to environmental perturbations? We might begin to answer these questions if we could monitor the ways in which metabolic roles are partitioned amongst members as microbial communities assemble, determine how resources such as carbon, nitrogen, and energy are allocated into metabolic pathways, and understand the mechanisms by which organisms and communities respond to changes in their surroundings. Because many organisms cannot be cultivated, and given that the metabolisms of those growing in monoculture are likely to differ from those of organisms growing as part of consortia, it is vital to develop methods to study microbial communities in situ. Chemoautotrophic biofilms growing in mine tunnels hundreds of meters underground drive pyrite (FeS(2)) dissolution and acid and metal release, creating habitats that select for a small number of organism types. The geochemical and microbial simplicity of these systems, the significant biomass, and clearly defined biological-inorganic feedbacks make these ecosystem microcosms ideal for development of methods for the study of uncultivated microbial consortia. Our approach begins with the acquisition of genomic data from biofilms that are sampled over time and in different growth conditions. We have demonstrated that it is possible to assemble shotgun sequence data to reveal the gene complement of the dominant community members and to use these data to confidently identify a significant fraction of proteins from the dominant organisms by mass spectrometry (MS)-based proteomics. However, there are technical obstacles currently restricting this type of "proteogenomic" analysis. Composite genomic sequences assembled from environmental data from natural microbial communities do not capture the full range of genetic potential of the associated populations. Thus, it is necessary to develop bioinformatics approaches to generate relatively comprehensive gene inventories for each organism type. These inventories are critical for expression and functional analyses. In proteomic studies, for example, peptides that differ from those predicted from gene sequences can be measured, but they generally cannot be identified by database matching, even if the difference is only a single amino acid residue. Furthermore, many of the identified proteins have no known function. We propose that these challenges can be addressed by development of proteogenomic, biochemical, and geochemical methods that will be initially deployed in a simple, natural model ecosystem. The resulting approach should be broadly applicable and will enhance the utility and significance of genomic data from isolates and consortia for study of organisms in many habitats. Solutions draining pyrite-rich deposits are referred to as acid mine drainage (AMD). AMD is a very prevalent, international environmental problem associated with energy and metal resources. The biological-mineralogical interactions that define these systems can be harnessed for energy-efficient metal recovery and removal of sulfur from coal. The detailed understanding of microbial ecology and ecosystem dynamics resulting from the proposed work will provide a scientific foundation for dealing with the environmental challenges and technological opportunities, and yield new methods for analysis of more complex natural communities.

Ecosystem↗
PubMed2005

BioAfrica's HIV-1 proteomics resource: combining protein data with bioinformatics tools.

Most Internet online resources for investigating HIV biology contain either bioinformatics tools, protein information or sequence data. The objective of this study was to develop a comprehensive online proteomics resource that integrates bioinformatics with the latest information on HIV-1 protein structure, gene expression, post-transcriptional/post-translational modification, functional activity, and protein-macromolecule interactions. The BioAfrica HIV-1 Proteomics Resource http://bioafrica.mrc.ac.za/proteomics/index.html is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. The HIV-1 Protein Data-mining Tool includes a set of 27 group M (subtypes A through K) reference sequences that can be used to assess the influence of genetic variation on immunological and functional domains of the protein. The BLAST Structure Tool identifies proteins with similar, experimentally determined topologies, and the Tools Directory provides a categorized list of websites and relevant software programs. This combined database and software repository is designed to facilitate the capture, retrieval and analysis of HIV-1 protein data, and to convert it into clinically useful information relating to the pathogenesis, transmission and therapeutic response of different HIV-1 variants. The HIV-1 Proteomics Resource is readily accessible through the BioAfrica website at: http://bioafrica.mrc.ac.za/proteomics/index.html.

Africa↗
PubMed2003

Normal human dermal fibroblasts: proteomic analysis of cell layer and culture medium.

Proteins present within the cell layer and those released in the cell medium from in vitro cultured normal human dermal fibroblasts were separated and characterized in terms of their isoelectric point and molecular weight, by two-dimensional (2-D) gel electrophoresis. All spots in the synthetic gel were firstly analyzed by the Melanie 3 software and compared with those of breast cancer cells, colorectal epithelial cells, HL60, lymphoma cells, and platelets, already available on-line. From the identification of 144 spots from both the cell layer and the medium, we were able to recognize 89 different proteins, since a certain number of spots represented different isoforms of the same molecule. Identifications were performed by matching with on-line 2-D databases, and by matrix assisted laser-desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS), in order to confirm the identification by matching, or to identify new proteins. The procedure we used allows (i) to design a highly reproducible reference map of the proteome of adult human normal fibroblasts in culture, (ii) to evaluate protein species produced in the cell layer as well as those released in the culture medium, and (iii) to compare data from gel matching with those obtained by MS. This work represents an essential step for a better knowledge of mesenchymal cells, given the widespread use of this cell type in both clinical and experimental investigations.

Adult↗
PubMed2005

Integrating gene and protein expression data: pattern analysis and profile mining.

Proteomics and functional genomics are emerging new research fields devoted to the study of the entire collection of proteins and mRNA transcripts (collectively known as gene products) that define a biological system. DNA microarrays are now a popular platform for measuring changes in messenger RNA transcript levels on a genome-wide scale, while gel-free shotgun profiling methods based on tandem mass spectrometry are increasingly being used to determine the identity, modification states, and relative abundance of large numbers of proteins. By defining the behavior of entire biological pathways and networks under various physiological states, these studies aim to extend traditional reductionist molecular genetic approaches regarding the biological roles of the vast array of uncharacterized gene products. A key goal is to determine how the information encoded by the myriad of expressed gene products is integrated at the molecular, cellular, and even whole organism level to create the dynamic biochemical processes and complex physiological controls that sustain life. While comparison of the complementary information contained in proteomic and mRNA data sets poses considerable analytical challenges, these efforts should provide added insight into the fundamental mechanisms underlying physiology, development, and the emergence of disease. Here, we outline several analytical approaches, methods, and tools that have proven to be helpful in the face of this important challenge.

Algorithms↗
PubMed2006

The C terminus of lens aquaporin 0 interacts with the cytoskeletal proteins filensin and CP49.

PURPOSE: Aquaporin 0 (AQP0), the most abundant membrane protein in the lens, is a water-permeable channel, has a role in fiber cell adhesion, and is essential for fiber cell structure and organization. The purpose of this study was to identify proteins that interact with the C terminus of AQP0, by using a proteomics approach, and thus further elucidate the role of AQP0 in the human lens. METHODS: AQP0 C-terminal peptides and AQP0 antibody affinity chromatography were used for affinity purification of interacting human lens proteins. Purified proteins were digested with trypsin, analyzed by liquid chromatography (LC)-tandem mass spectrometry and identified after database searching and manual examination of the mass spectral data. Colocalization of AQP0 with filensin and CP49, two proteins identified after mass spectrometric analysis, were examined by immunoconfocal and immunoelectron microscopy of lens sections. RESULTS: The proteomics approach used to identify affinity-purified proteins revealed the lens-specific intermediate filament proteins filensin and CP49. With immunoconfocal microscopy, regions of colocalization of AQP0 with filensin and CP49 at the fiber cell plasma membrane in the lens cortex were defined. Immunoelectron microscopy confirmed that filensin and AQP0 were present in the same membrane compartments. CONCLUSIONS: These studies suggest a novel interaction between an aquaporin water channel and intermediate filaments, an interaction through which AQP0 may maintain lens fiber cell shape and organization.

Animals↗
PubMed2003

Dehydron: a structurally encoded signal for protein interaction.

We introduce a quantifiable structural motif, called dehydron, that is shown to be central to protein-protein interactions. A dehydron is a defectively packed backbone hydrogen bond suggesting preformed monomeric structure whose Coulomb energy is highly sensitive to binding-induced water exclusion. Such preformed hydrogen bonds are effectively adhesive, since water removal from their vicinity contributes to their stability. At the structural level, a significant correlation is established between dehydrons and sites for protein complexation, with the HIV-1 capsid protein P24 complexed with antibody light-chain FAB25.3 providing the most dramatic correlation. Furthermore, the number of dehydrons in homologous similar-fold proteins from different species is shown to be a signature of proteomic complexity. The techniques are then applied to higher levels of organization: The formation of the capsid and its organization in picornaviruses correlates strongly with the distribution of dehydrons on the rim of the virus unit. Furthermore, antibody contacts and crystal contacts may be assigned to dehydrons still prevalent after the capsid has been assembled. The implications of the dehydron as an encoded signal in proteomics, bioinformatics, and inhibitor drug design are emphasized.

Amino Acid Motifs↗
PubMed2002

Large-scale proteomic analysis of the human spliceosome.

In a previous proteomic study of the human spliceosome, we identified 42 spliceosome-associated factors, including 19 novel ones. Using enhanced mass spectrometric tools and improved databases, we now report identification of 311 proteins that copurify with splicing complexes assembled on two separate pre-mRNAs. All known essential human splicing factors were found, and 96 novel proteins were identified, of which 55 contain domains directly linking them to functions in splicing/RNA processing. We also detected 20 proteins related to transcription, which indicates a direct connection between this process and splicing. This investigation provides the most detailed inventory of human spliceosome-associated factors to date, and the data indicate a number of interesting links coordinating splicing with other steps in the gene expression pathway.

Amino Acid Sequence↗
PubMed2005

Proteome analysis of abundantly expressed proteins from unfed larvae of the cattle tick, Boophilus microplus.

Protein expression in unfed larvae of the cattle tick, Boophilus microplus, was characterized using gel electrophoresis and mass spectrometry in an effort to assemble a database of proteins produced at this stage of development. Soluble and insoluble proteins were extracted and resolved by two-dimensional (2D) gel electrophoresis. Twenty abundantly expressed larval proteins were selected for peptide mass mapping and for peptide sequencing by matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF) and quadrupole time-of-flight (Q-ToF) tandem mass spectrometry (MS), respectively. Only one protein, tropomyosin, was unequivocally identified from its peptide mass map. Ten proteins were assigned putative identities based on BLAST searching of heterologous databases with peptide sequences. These included a cytoskeletal protein (troponin I), multiple cuticular proteins, a glycine-rich salivary gland-associated protein and proteins with a presumed housekeeping role (arginine kinase, a high-mobility group protein and a small heat shock protein). Eight additional proteins were identified by searching translated open reading frames of a B. microplus EST database (unpublished): putative fatty-acid binding protein, thioredoxin, glycine-rich salivary gland protein and additional cuticular proteins. One remaining protein was not identifiable, suggesting it may be a novel molecule. The ongoing assembly of this database contributes to our understanding of proteins expressed by the tick and provides a resource that can be mined for molecules that play a role in tick-host interactions.

Amino Acid Sequence↗
PubMed2004

Proteomic analysis of lung biopsies: Differential protein expression profile between peritumoral and tumoral tissue.

The cellular proteome shows a dynamic profile and is subjected to changes in response to various stimuli and disease progression. Lung cancer remains the leading cause of cancer death in industrialized countries. In an attempt to find new disease markers, patients suffering from lung carcinoma have been selected to achieve differential protein expression patterns between normal and neoplasic tissue. After two-dimensional electrophoresis, the spots of interest were digested and identified by matrix-assisted laser desorption/ionization (MALDI) peptide mass fingerprinting. This information will provide a more comprehensive understanding of the disease progression and might constitute a method to complement histopathological diagnosis.

Databases, Protein↗
PubMed2003

Proteome analysis on an early transformed human bronchial epithelial cell line, BEP2D, after alpha-particle irradiation.

To probe the mechanism of carcinogenesis of lung cancer at the molecular level and to find potential protein markers involved in the early phase of tumorgenesis, differential proteome analysis on primary passage cell line R15H, and early transformed cell line R15H20 derived from (238)Pu alpha-particle irradiation of human papillomavirus (HPV) 18-immortalized human bronchial epithelial cell line (BEP2D), was carried out using two-dimensional electrophoresis (2-DE) and peptide mass fingerprinting (PMF) with matrix-assisted laser desorption/ionisation-time of flight mass spectrometry. Image analysis and Student's t-test (p < 0.05) showed that three protein spots were only expressed in R15H, intensities of 43 protein spots on the gels were altered between R15H and R15H20. Two of the three spots that were only expressed in R15H were identified as high mobility group protein 1. Two proteins decreased in abundance in R15H20 were identified as maspin precursor, a tumor suppressor and aminoacylase-1. Ornithine aminotransferase and peptidyl-prolyl cis-trans isomerase A that were increased in R15H20, were also identified. Relationships between these differentially expressed proteins and the carcinogenesis mechanism of lung cancer are discussed. The protein expression profile of the R15H cell line was also constructed during the study as a reference map for further comparative proteome analysis of the irradiation induced BEP2D cell line. Of the 90 spots analyzed with PMF in the 2-DE gel of R15H cell line, 50 proteins were identified by searching the nonredundant protein database SWISS-PROT/TrEMBL.

Alpha Particles↗