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KEGG-based pathway visualization tool for complex omics data.

Pathway-level visualization of omics data provides an essential means for systems biology, to capture the systematic properties of the inner activities of cells. Here we describe a web-based resource consisting of a web-application for the visualization of complex omics data onto KEGG pathways to overview all entities in the context of cellular pathways, and databases created with the software to visualize a series of microarray data. The web-application accepts transcriptome, proteome, metabolome, or the combination of these data as input, and because of this scalability it is advantageous for the visualization of cell simulation results. The web server can be accessed at http://www.g-language.org/data/marray/.

Computer Graphics↗

Proteomics-based identification of secreted protein dihydrodiol dehydrogenase as a novel serum markers of non-small cell lung cancer.

Identification of secreted proteins of lung cancer could provide new candidates of serum biomarkers for cancer diagnosis and prognosis evaluation. In this study, non-small cell lung cancer (NSCLC) cell line A549 was cultured. Proteins in the conditioned medium of A549 were recovered and the proteome analysis was subsequently performed. Secreted proteins of A549 were identified using mass spectrometry and database search. Fourteen human proteins were identified, including peptidyl-prolyl cis-trans isomerase A, manganese superoxide dismutase, peroxiredoxin 1, phosphatidylethanolamine-binding protein, glutathione S-transferase P, PGP9.5, alpha enolase, phosphoglycerate mutase 1, galectin-1 and dihydrodiol dehydrogenase (DDH). DDH was selected for further analysis using RT-PCR, immunoblotting, immunohistochemical staining and ELISA in NSCLC patients. Compared with normal lung tissues, higher DDH mRNA and protein expression level were found in 15 NSCLC cancer tissues (p<0.05). DDH overexpression was identified to be located in cytoplasm and cell membrane by immunohistochemical staining in NSCLC tissue. The serum level of DDH was significantly higher in NSCLC patients (n=64) than nonmalignant lung tumor (n=20) and healthy controls (n=20) (p<0.05). The results show that DDH was one of the secreted proteins in NSCLC. It can serve as a tissue marker and a novel serological marker of NSCLC. Identification of secreted proteins could be a feasible and effective strategy to search potential serum biomarkers of cancer.

Aged↗

Is it functional? Report on the first BSPR/EBI meeting on functional proteomics.

This report describes the first scientific meeting of the British Society for Proteome Research (BSPR), which was organised jointly with the European Bioinformatics Institute (EBI) and held in July 2004. The focus of the conference was functional proteomics with an emphasis on possible clinical application. The main subjects described here are: the need to simplify samples, the use of biological fluids versus tissue, consideration of biological and experimental variation and the creation of databases to achieve meaningful functional analysis.

Animals↗

Caveat receptor: proteomes on display.

Display methods development is currently extending the application of this strategy beyond the generation of ligand binding reagents for research, clinical, or biotechnological purposes to its use as a primary research tool. Peptide- and cDNA display methods have the potential to contribute to understanding the mechanisms of certain classes of drugs and to help map protein-protein interactions of physiological importance. Although the critical contribution of comprehensive amino acid sequence databases has been recognized, of equal importance might be structural genomics concepts in the application of display system technology to proteomics research. Lessons learned from the study of antibody-antigen interactions are reviewed here and applied to the field of display technology with the goal of delineating major factors involved in the successful mimicry of natural protein-ligand interactions.

DNA↗

Unraveling age-dependent variation of the mitochondrial proteome.

Blue-native and colorless-native gel electrophoresis combined with subsequent 2D-SDS-PAGE and MALDI mass spectrometry are successfully applied for understanding the role of mitochondria in cellular dysfunction, aging, and cellular death. The partial mitochondrial proteome maps of various tissues (liver, brain, kidney, heart, and skeletal muscle) obtained from rat serve now as a database for the elucidation of age-dependent changes, including alterations in protein-protein interactions as well as in posttranslational modifications.

Aged↗

Proteomic signature of human embryonic stem cells.

Human embryonic stem cells (hESC) represent a population of undifferentiated pluripotent cells with both self-renewal and multilineage differentiation characteristics. Proteomics provides a powerful approach for studying the characteristics of hESC and discovering molecular markers. We have analyzed proteome profiles of three hESC lines using 2-DE and MALDI TOF-TOF. Out of 844 spots analyzed with MALDI TOF-TOF, 685 proteins were identified of which 60 proteins were classified as the most abundant proteins on 2-D gels. A large number of proteins particularly high abundant ones were identified as chaperones, heat shock proteins, ubiquitin/proteasome, and oxidative stress responsive proteins underscoring the ability of these cells to resist oxidative stress and increase the life span. Several proteins involved in cell proliferation and differentiation were also among the highly expressed proteins. Although overall expression pattern of three hESC were similar, 54 spots changed quantitatively and 14 spots changed qualitatively among the hESC cell lines. Most of these proteins were identified as proteins involved in cell growth, metabolism and signal transduction, which may affect the self-renewal and pluripotency. To our knowledge, this study represents the first proteomic dataset for hESC and provides a better insight into the biology of hESC. Proteome maps of hESC are accessible at http://www.RoyanProteomics.ir.

Cell Line↗

Conservation of intrinsic disorder in protein domains and families: I. A database of conserved predicted disordered regions.

Many protein regions have been shown to be intrinsically disordered, lacking unique structure under physiological conditions. These intrinsically disordered regions are not only very common in proteomes, but also crucial to the function of many proteins, especially those involved in signaling, recognition, and regulation. The goal of this work was to identify the prevalence, characteristics, and functions of conserved disordered regions within protein domains and families. A database was created to store the amino acid sequences of nearly one million proteins and their domain matches from the InterPro database, a resource integrating eight different protein family and domain databases. Disorder prediction was performed on these protein sequences. Regions of sequence corresponding to domains were aligned using a multiple sequence alignment tool. From this initial information, regions of conserved predicted disorder were found within the domains. The methodology for this search consisted of finding regions of consecutive positions in the multiple sequence alignments in which a 90% or more of the sequences were predicted to be disordered. This procedure was constrained to find such regions of conserved disorder prediction that were at least 20 amino acids in length. The results of this work included 3,653 regions of conserved disorder prediction, found within 2,898 distinct InterPro entries. Most regions of conserved predicted disorder detected were short, with less than 10% of those found exceeding 30 residues in length.

Amino Acid Sequence↗

Proteomic analysis of asexual development of Phytophthora palmivora.

Two-dimensional gel electrophoresis was used to analyse stage-specific proteins from Phytophthora palmivora, a pathogen of cocoa and other economically important tropical crops. Approximately 1% of proteins appeared to be specific for each of the mycelial, sporangial, zoospore, cyst and germinated cyst stages of the life-cycle. Three proteins excised from protein gels of P. palmivora were identified as isoforms of actin by database searches to public libraries of Phytophthora infestans. The protein profiles of parallel samples of P. palmivora and P. infestans demonstrated that 30% of proteins precisely co-migrated suggesting that proteomics may be used to examine changes in the specific stages in the life cycles of Phytophthora spp.

Actins↗

A genomic perspective on human proteases.

Over 400 human proteases documented in secondary databases can already be delineated in genomic sequence. A Genome Ontology annotation of 30585 sequences in the provisional human proteome set recognises 498 proteases, i.e. 1.6%. Homology searches against finished sequence and comparisons between mouse and zebrafish are likely to increase this total. However, the data already indicate that the mechanistic class, sequence family and domain distribution of the genomic complement of proteases is unlikely to shift significantly from that already observed in the transcript data. Genomically derived novel sequences will require bioinformatic analysis and biochemical verification. The increasing availability of annotated genomic data will enable studies of splice variants, transcriptional control, polymorphisms, pseudogenes, inactive homologues and evolution. Comparative work on complete human protease families should produce a more integrated picture of their biochemistry and physiology. Genomic data will also lead to the identification of new protease involvement in disease processes and their evaluation as drug targets.

Alternative Splicing↗

Fractionation of peptides and identification of proteins from Saccharomyces cerevisiae in proteomics with the use of reversed-phase capillary liquid chromatography and pI-based approach.

The aim of the work was to explore the identification of proteins from Saccharomyces cerevisiae using combined capillary reversed-phase liquid chromatography (RPLC) and in-solution isoelectric focusing (sIEF) for fractionation of peptides prior to mass spectrometry analysis. That method was proved to be the alternative separation method for complex mixtures of protein tryptic digests in proteomics. Analysis of the identification of peptides was performed with the use of electrospray ionization-ion trap tandem mass spectrometry (ESI-IT-MS/MS). First, the sIEF fractionation was carried out prior to separation and mass spectrometry identification by nano-LC/ESI-MS/MS instrument. The proposed approach based on sIEF and nano-LC/ESI-MS/MS analysis was proved to be an efficient and accurate alternative fractionation method of complex protein digests and can be considered as the useful tool for identification of proteins. Moreover, analytical information from that approach can be considered as the additional source of database matching constraint and can be valuable tool for analytical and bioinformatics studies of peptides fractionation in proteomics. Based on the MS/MS results obtained with ESI-IT-MS/MS instrument, 851 proteins from S. cerevisiae were identified. However, after careful analysis of the data reduction in number of proteins to 126 was obtained. Those results are discussed and interpreted in the view of the evaluation method used.

Animals↗

Effect of mild acid pH on the functioning of bacterial membranes in Vibrio cholerae.

In this paper, we initiated the first two-dimensional electrophoresis map of Vibrio cholerae, the aetiological agent of cholera disease. In this pathogen the efficient adaptation to detrimental conditions plays an important role in its survival in both the aquatic reservoir and human intestine. By proteome analysis we investigated the effect of mild acid treatment on the physiology of V. cholerae. More than 50 proteins were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry and database searching. Amongst them, pH regulated proteins belong to various functional classes such as intermediary metabolism and bacterial envelope. Several proteins whose accumulation level was decreased in response to acidic pH are known to be involved in the organization and the functioning of membranes, including lipopolysaccharide. Consistent with this, we observed an increased susceptibility to hydrophobic drugs, a loss of motility and a reduction in the ability to form a biofilm in cells grown at pH 6. Our results suggest that V. cholerae is able to sense a moderate decrease in pH and to modify accordingly its structure and physiology.

Bacterial Proteins↗

Bioinformatics and proteomics approaches for aging research.

Aging is a natural phenomenon that affects the entire physiology of an organism. Elucidating the molecular mechanisms underlying this complex process remains a major challenge today. Humans make poor models for research into aging because of their long life span. Thus, most of the current knowledge is through studies conducted in lower organisms. Large differences in life spans make it difficult to extrapolate the results of experiments carried out in model organisms to humans. Recent advances in genomic and proteomic technologies now permit generation of data pertaining to aging on a large-scale. In addition, several web-based community resources and databases are available that provide easy access to the available data. Use of bioinformatics and systems biology type of approaches provide a framework to start dissecting this complex biological phenomenon. Here, we discuss various genomic, transcriptomic and proteomic approaches that have the potential to provide a comprehensive mechanistic insight into the aging process.

Aging↗

Average peptide score: a useful parameter for identification of proteins derived from database searches of liquid chromatography/tandem mass spectrometry data.

The quantity and variable quality of data that can be generated from liquid chromatography (LC)/mass spectrometry (MS)-based proteomics analyses creates many challenges in interpreting the spectra in terms of the actual proteins in a complex sample. In spite of improvements in algorithms that match putative peptide sequences to MS/MS spectra, the assembly of these lists of possible or probable peptides into a 'correct' set of proteins is still problematic. We have observed a trend in a simple relationship, derived from standard database search outputs, which can be useful in assessing the quality of a MS/MS-based protein identification. Specifically, the ratio of the protein score and number of non-redundant peptides, or average peptide score (APS), can facilitate initial filtering of database search results in addition to providing a useful measure of confidence for the proteins identified. This parameter has been applied to results from the analysis of multi-protein complexes derived from pull-down experiments analyzed using a two-dimensional LC/MS/MS workflow. In particular, the complex list of protein identifications derived from a drug affinity pull-down with immobilized ampicillin and an E. coli lysate was greatly simplified by applying the APS as a filter, allowing for facile identification of the penicillin-binding proteins known to interact with ampicillin. Furthermore, an APS threshold can be used for any data sets derived from electrospray ionization (ESI)- or matrix-assisted laser desorption/ionization (MALDI)-MS/MS experiments and is also not specific to any database search program.

Chromatography, Liquid↗

Proteome studies of human cerebrospinal fluid and brain tissue using a preparative two-dimensional electrophoresis approach prior to mass spectrometry.

A preparative proteomic approach, involving liquid phase isoelectric focusing (IEF) in combination with one-dimensional electrophoresis and electroelution followed by mass spectrometry and database searches, was found to be an important tool for identifying low-abundant proteins (microgram/L) in human cerebrospinal fluid (CSF) and membrane proteins in human frontal cortex. Several neuron-related proteins, such as amyloid precursor-like protein, chromogranins A and B, glial fibrillary acid protein, beta-trace, transthyretin, ubiquitin, and cystatin C, were identified in CSF. Several types of proteins were also characterized from a detergent-solubilized human frontal cortex homogenate including membrane proteins such as synaptophysin, syntaxin and Na+/K+ ATPase. One-third of the identified proteins have not previously been identified in human CSF or human frontal cortex using proteomic techniques. The absence of these proteins in two-dimensional electrophoresis maps might be due to insufficient amounts or low solubility. The advantages of using preparative liquid phase electrophoretic separations for identifying proteins from complex biological mixtures are speed of analysis, high loadability in the IEF separation, nondiscrimination of membrane proteins or low abundance proteins, yielding sufficient amounts for characterization by mass spectrometry. The use of this strategy in proteome studies of CSF/brain tissue is expected to offer new perspectives in studies of the pathology of neurodegenerative diseases, and reveal new potential markers for brain disorders.

Brain Chemistry↗

Proteomic technology and its biomedical applications.

Proteomics has its origins in two-dimensional gel electrophoresis (2-DE), a technique developed more than twenty years ago. 2-DE has a high-resolution capacity, and was initially used primarily for separating and characterizing proteins in complex mixtures. 2-DE remains an important tool for protein identification, but is now normally coupled with mass spectrometry (MS), a technique which has advanced considerably in recent years. The recent completion of human genome project has produced a large DNA database which can be utilized through bioinformatics, and the next challenge for scientists is to uncover the entire proteome of a particular organism. The integration of genomic and proteomic data will help to elucidate the functions of proteins in the pathogenesis of diseases and the ageing process, and could lead to the discovery of novel drug target proteins and biomarkers of diseases. This review describes recent advances in proteomic technology and discusses the potential applications of proteomics in biomedical research.

Biomedical Research↗

Complexity of the human whole saliva proteome.

Recent characterization of the whole saliva proteome led to contradictory pictures concerning the complexity of its proteome. In this work, 110 proteins were analysed by mass spectrometry allowing the identification of 10 accessions previously not detected on protein two-dimensional maps, including myosin heavy chain (fast skeletal muscle, IIA and IIB), phosphatidylethanolamine binding protein, secretory actin-binding protein precursor and triosephosphate isomerase. Further comparison with available data demonstrated simultaneously a low diversity in terms of variety of accessions and a high complexity in terms of number of protein spots identifying the same accession, the two thirds of identified spots corresponding to amylases, cystatins and immunoglobulins. This diversity may be of interest in the development of non invasive diagnostic tool for several disease.

Databases, Protein↗

A human tissue and data resource: an overview of opportunities, challenges, and development of a provider/researcher partnership model.

As we continue to strive to apply the findings of in vitro and animal studies to human disease and transition from genomics to proteomics, we will experience an ever-increasing need for human tissues. A web based system that provides access to tissues repositories and associated data will best facilitate the access to these vital resources and the application of research information to human disease treatment. There are organizational and design requirements that must be addressed in the implementation of the infrastructures that are needed to implement such a system, with special attention paid to the protection of patient anonymity. This report describes the implementation of a prototype human tissue network in the hope of encouraging implementation of similar systems among other consortia of providers and researchers.

Animals↗

WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data.

BACKGROUND: Analysis of High Throughput (HTP) Data such as microarray and proteomics data has provided a powerful methodology to study patterns of gene regulation at genome scale. A major unresolved problem in the post-genomic era is to assemble the large amounts of data generated into a meaningful biological context. We have developed a comprehensive software tool, WholePathwayScope (WPS), for deriving biological insights from analysis of HTP data. RESULT: WPS extracts gene lists with shared biological themes through color cue templates. WPS statistically evaluates global functional category enrichment of gene lists and pathway-level pattern enrichment of data. WPS incorporates well-known biological pathways from KEGG (Kyoto Encyclopedia of Genes and Genomes) and Biocarta, GO (Gene Ontology) terms as well as user-defined pathways or relevant gene clusters or groups, and explores gene-term relationships within the derived gene-term association networks (GTANs). WPS simultaneously compares multiple datasets within biological contexts either as pathways or as association networks. WPS also integrates Genetic Association Database and Partial MedGene Database for disease-association information. We have used this program to analyze and compare microarray and proteomics datasets derived from a variety of biological systems. Application examples demonstrated the capacity of WPS to significantly facilitate the analysis of HTP data for integrative discovery. CONCLUSION: This tool represents a pathway-based platform for discovery integration to maximize analysis power. The tool is freely available at http://www.abcc.ncifcrf.gov/wps/wps_index.php.

Computer Graphics↗