SEARCH · PubMed Health

Results for “reference protein database”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 91 records · Page 5Linked to original sources

PubMed2003

Analysis of expressed sequence tags from Gibberella zeae (anamorph Fusarium graminearum).

Gibberella zeae is a broad host range pathogen that infects many crop plants, including wheat and barley, and causes head blight and rot diseases throughout the world. To better understand fungal development and pathogenicity, we have generated 7996 ESTs from three cDNA libraries. Two libraries were generated from carbon-(C-) and nitrogen- (N-) starved mycelia and one library was generated from cultures of maturing perithecia (P). In other fungal pathogens, starvation conditions have been shown to act as cues to induce infection-related gene expression. To assign putative function to cDNAs, sequences were initially assembled using StackPack. The estimated total number of genes identified from the three EST databases was 2110: 1088 contigs and 1022 singleton sequences. These 2110 sequences were compared to a yeast protein sequence reference set and to the GenBank nonredundant database using BLASTX. Based on presumptive gene function identified by this process, we found that the two starved cultures had similar, but not identical, patterns of gene expression, whereas the developmental cultures were distinct in their pattern of expression. Of the three libraries, the perithecium library had the greatest percentage (46%) of ESTS falling into the "unclassified" category. Homologues of some known fungal virulence or pathogenicity factors were found primarily in the N- and C-libraries. Comparisons also were made with ESTs from the related fungi, Neurospora crassa and Magnaporthe grisea and the genomic sequence of N. crassa.

Expressed Sequence Tags↗

PubMed2003

The Protein Information Resource.

The Protein Information Resource (PIR) is an integrated public resource of protein informatics that supports genomic and proteomic research and scientific discovery. PIR maintains the Protein Sequence Database (PSD), an annotated protein database containing over 283 000 sequences covering the entire taxonomic range. Family classification is used for sensitive identification, consistent annotation, and detection of annotation errors. The superfamily curation defines signature domain architecture and categorizes memberships to improve automated classification. To increase the amount of experimental annotation, the PIR has developed a bibliography system for literature searching, mapping, and user submission, and has conducted retrospective attribution of citations for experimental features. PIR also maintains NREF, a non-redundant reference database, and iProClass, an integrated database of protein family, function, and structure information. PIR-NREF provides a timely and comprehensive collection of protein sequences, currently consisting of more than 1 000 000 entries from PIR-PSD, SWISS-PROT, TrEMBL, RefSeq, GenPept, and PDB. The PIR web site (http://pir.georgetown.edu) connects data analysis tools to underlying databases for information retrieval and knowledge discovery, with functionalities for interactive queries, combinations of sequence and text searches, and sorting and visual exploration of search results. The FTP site provides free download for PSD and NREF biweekly releases and auxiliary databases and files.

Amino Acid Sequence↗

PubMed2003

The RESID Database of Protein Modifications: 2003 developments.

The RESID Database is a comprehensive collection of annotations and structures for protein pre-, co- and post-translational modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link modifications. The RESID Database includes: systematic and alternate names, atomic formulas and masses, enzyme activities generating the modifications, keywords, literature citations, Gene Ontology cross-references, Protein Information Resource (PIR) and SWISS-PROT protein sequence database feature table annotations, structure diagrams and molecular models. This database is freely accessible on the Internet through the European Bioinformatics Institute at http://srs.ebi.ac.uk/srs6bin/cgi-bin/wgetz?-page+LibInfo+-lib+RESID, through the National Cancer Institute - Frederick Advanced Biomedical Computing Center at http://www.ncifcrf.gov/RESID, or through the Protein Information Resource at http://pir.georgetown.edu/pirwww/dbinfo/resid.html.

Animals↗

PubMed2004

Rice Proteome Database based on two-dimensional polyacrylamide gel electrophoresis: its status in 2003.

The Rice Proteome Database is the first detailed database to describe the proteome of rice. The current release contains 21 reference maps based on two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) of proteins from rice tissues and subcellular compartments. These reference maps comprise 11 941 identified proteins showing tissue and subcellular localization, corresponding to 4180 separate protein entries in the database. The Rice Proteome Database contains the calculated properties of each protein such as molecular weight, isoelectric point and expression; experimentally determined properties such as amino acid sequences obtained using protein sequencers and mass spectrometry; and the results of database searches such as sequence homologies. The database is searchable by keyword, accession number, protein name, isoelectric point, molecular weight and amino acid sequence, or by selection of a spot on one of the 2D-PAGE reference maps. Cross-references are provided to tools for proteomics and to other 2D-PAGE databases, which in turn provide many links to other molecular databases. The information in the Rice Proteome Database is updated weekly, and is available on the World Wide Web at http://gene64.dna.affrc.go.jp/RPD/.

Computational Biology↗

PubMed2006

The PMDB Protein Model Database.

The Protein Model Database (PMDB) is a public resource aimed at storing manually built 3D models of proteins. The database is designed to provide access to models published in the scientific literature, together with validating experimental data. It is a relational database and it currently contains >74,000 models for approximately 240 proteins. The system is accessible at http://www.caspur.it/PMDB and allows predictors to submit models along with related supporting evidence and users to download them through a simple and intuitive interface. Users can navigate in the database and retrieve models referring to the same target protein or to different regions of the same protein. Each model is assigned a unique identifier that allows interested users to directly access the data.

Databases, Protein↗

PubMed2006

The Mouse Functional Genome Database (MfunGD): functional annotation of proteins in the light of their cellular context.

MfunGD (http://mips.gsf.de/genre/proj/mfungd/) provides a resource for annotated mouse proteins and their occurrence in protein networks. Manual annotation concentrates on proteins which are found to interact physically with other proteins. Accordingly, manually curated information from a protein-protein interaction database (MPPI) and a database of mammalian protein complexes is interconnected with MfunGD. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme which is widely used for the analysis of protein networks. The dataset is also supplemented with information about the literature that was used in the annotation process as well as links to the SIMAP Fasta database, the Pedant protein analysis system and cross-references to external resources. Proteins that so far were not manually inspected are annotated automatically by a graphical probabilistic model and/or superparamagnetic clustering. The database is continuously expanding to include the rapidly growing amount of functional information about gene products from mouse. MfunGD is implemented in GenRE, a J2EE-based component-oriented multi-tier architecture following the separation of concern principle.

Animals↗

PubMed2006

Water stress-responsive genes in loblolly pine (Pinus taeda) roots identified by analyses of expressed sequence tag libraries.

Drought stress is the principal cause of seedling mortality in pine forests of the southeastern United States and in many other forested regions around the globe. As part of a larger effort to discover loblolly pine genes, this study subjected rooted cuttings of three unrelated pine genotypes to three watering regimens. Expressed sequence tags (ESTs) were obtained from both the 3' and 5' ends of 12,918 randomly selected cDNAs generated from root tissues. These ESTs were clustered to identify 6,765 unique transcripts (UniScripts) derived from 6,202 putative unique genes (UniGenes-S). Tentative annotations were assigned on the basis of BLASTX comparisons to the Protein Information Resource Nonredundant Reference (PIR-NREF) database. Expression levels of 42 UniScripts varied with high statistical significance with respect to treatment. Many of them resembled gene products shown to be important for drought tolerance in other species, including dehydrins, endochitinases, cytochrome P450 enzymes, pathogenesis-related proteins and various late-embryogenesis abundant (LEA) gene products. Similarly, expression levels of 110 UniScripts varied with high statistical significance among genotypes, indicating that gene expression patterns in this species are much more dependent on genotype than on treatment. Most of the water stress-induced pine UniScripts that appeared to encode products resembling drought tolerance factors in other species were most highly induced in a single genotype, suggesting that particularly useful adaptive alleles for drought tolerance might exist within the collection of cDNAs characterized from this genotype. Mining and visualizing the complete data set, as well as downloading of both EST and UniScript contig sequences, are possible using MAGIC Gene Discovery at http://fungen.org/genediscovery/.

Acclimatization↗

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↗

PubMed2007

Proteomics analysis of the interactome of N-myc downstream regulated gene 1 and its interactions with the androgen response program in prostate cancer cells.

NDRG1 is known to play important roles in both androgen-induced cell differentiation and inhibition of prostate cancer metastasis. However, the proteins associated with NDRG1 function are not fully enumerated. Using coimmunoprecipitation and mass spectrometry analysis, we identified 58 proteins that interact with NDRG1 in prostate cancer cells. These proteins include nuclear proteins, adhesion molecules, endoplasmic reticulum (ER) chaperons, proteasome subunits, and signaling proteins. Integration of our data with protein-protein interaction data from the Human Proteome Reference Database allowed us to build a comprehensive interactome map of NDRG1. This interactome map consists of several modules such as a nuclear module and a cell membrane module; these modules explain the reported versatile functions of NDRG1. We also determined that serine 330 and threonine 366 of NDRG1 were phosphorylated and demonstrated that the phosphorylation of NDRG1 was prominently mediated by protein kinase A (PKA). Further, we showed that NDRG1 directly binds to beta-catenin and E-cadherin. However, the phosphorylation of NDRG1 did not interrupt the binding of NDRG1 to E-cadherin and beta-catenin. Finally, we showed that the inhibition of NDRG1 expression by RNA interference decreased the ER inducible chaperon GRP94 expression, directly proving that NDRG1 is involved in the ER stress response. Intriguingly, we observed that many members of the NDRG1 interactome are androgen-regulated and that the NDRG1 interactome links to the androgen response network through common interactions with beta-catenin and heat shock protein 90. Therefore we overlaid the transcriptomic expression changes in the NDRG1 interactome in response to androgen treatment and built a dual dynamic picture of the NDRG1 interactome in response to androgen. This interactome map provides the first road map for understanding the functions of NDRG1 in cells and its roles in human diseases, such as prostate cancer, which can progress from androgen-dependent curable stages to androgen-independent incurable stages.

Androgens↗

PubMedDate not supplied

An on-line two-dimensional polyacrylamide gel electrophoresis protein database of adult Drosophila melanogaster.

An annotated two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) protein database of adult Drosophila melanogaster has been constructed, based on the protein patterns of heads, thoraces and abdomens of adult male and female Drosophila melanogaster. About 1200 major protein spots are catalogued. Common proteins, found in all body parts, as well as bodypart- and sex-specifically expressed proteins are reported. Of the major proteins, 91, or 7.5%, are differentially expressed in the two sexes or in different body parts, at least in part reflecting specific functional requirements. At the present time 43 proteins, or about 3.5% of the detected proteins, have been identified. These data can be accessed interactively from our World Wide Web (WWW) server through clickable inline gel images and hypertext links. Identified protein spots are cross-referenced, through hypertext links, to the SWISS-PROT annotated database of protein primary sequences and the Fly-Base database of Drosophila genomic data. Our reference gels can be used to gain immediate access to protein spot identify and to the pattern of differentially expressed proteins in Drosophila melanogaster. The work presented in this article ties together information from protein 2-D PAGE, molecular biology and genetics and offers a uniform way to access this large volume of data.

Abdomen↗

PubMed2000

Mass spectrometry of the human pituitary proteome: identification of selected proteins.

The field of proteomics involves the combined application of advanced separation techniques, mass spectrometry, and bioinformatics tools to characterize proteins in complex biological mixtures. Here we report the identification of nine proteins from the human pituitary proteome, using the proteomics approach. The pituitary proteins were separated by two-dimensional electrophoresis, and were visualized by silver staining. The proteins of interest were subjected to in-gel digestion with trypsin, and the masses of the resulting peptides were determined by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. This tryptic mass map was used to identify the proteins through a search of a protein-sequence database. The identified proteins include important hormones, and enzymes with various catalytic activities. These proteins will be used to construct a two-dimensional reference database of the human pituitary. This database will be employed to study changes in the pituitary proteome that are associated with the formation of pituitary tumors.

Databases, Factual↗

PubMed2002

AGEID: a database of aging genes and interventions.

The aging genes/interventions database (AGEID) is a database of experimental results related to aging. AGEID is available as part of the science of aging knowledge environment on the World Wide Web at http://sageke.sciencemag.org/cgi/genesdb. The goal of AGEID is to catalog, in one location, every published experiment where life span has been measured in any organism. AGEID also includes information on genes that influence the incidence of age-associated disorders such as Alzheimer's disease and Parkinson's disease. AGEID gene/intervention reports are formatted pages containing the organism and strain background in which the particular experiment was performed, the type of genetic or environmental perturbation, the effect on life span, a description of the gene function and its role in longevity, protein homologs, and references. The use of this database by researchers who study aging should facilitate easy comparison of the genes and interventions that affect life span in different organisms.

Aging↗

PubMed2003

Structure of the hypothetical protein AQ_1354 from Aquifex aeolicus.

The crystal structure of a hypothetical protein AQ_1354 (gi 2983779) from the hyperthermophilic bacteria Aquifex aeolicus has been determined using X-ray crystallography. As found in many structural genomics studies, this protein is not associated with any known function based on its amino-acid sequence. PSI-BLAST analysis against a non-redundant sequence database gave 68 similar sequences referred to as 'conserved hypothetical proteins' from the uncharacterized protein family UPF0054 (accession No. PF02310). Crystallographic analysis revealed that the overall fold of this protein consists of one central alpha-helix surrounded by a four-stranded beta-sheet and four other alpha-helices. Structure-based homology analysis with DALI revealed that the structure has a moderate to good resemblance to metal-dependent proteinases such as collagenases and gelatinases, thus suggesting its possible molecular function. However, experimental tests for collagenase and gelatinase-type function show no detectable activity under standard assay conditions. Therefore, we suggest either that the members of the UPF0054 family have a similar fold but different biochemical functions to those of collagenases and gelatinases or that they have a similar function but perform it under different conditions.

Amino Acid Sequence↗

PubMed1991

The gene-protein database of Escherichia coli: edition 4.

The gene-protein database of Escherichia coli has as its core an index that links each of the protein spots from a two-dimensional polyacrylamide gel to the gene that encodes the protein. Additional information about each protein and its gene is generated from two-dimensional gel analysis or collated from the literature to form the database. Earlier editions of the database have provided periodic updates of information. The current edition does this, but also introduces a new reference gel image produced by an electrophoresis system recently adopted in this laboratory. The new gel system was chosen because it offers an improved opportunity for other investigations to produce close replicas of the reference gel pattern, thereby allowing easier access to the information of the database and encouraging independent contribution to the database. The new gel format also is larger and hence more compatible with computer assisted image analysis, which has become essential for a project of this magnitude. This edition continues the use of the former reference gel images, but adds a reference image of an equilibrium gel of E. coli strain W3110 produced by the new standardized gel system. At this time, 55% of the protein spots annotated on the previous equilibrium reference gel for this organism have been located on the new reference image, and these identifications are included in the tables of the database.

Bacterial Proteins↗

PubMed2006

RINGdb: an integrated database for G protein-coupled receptors and regulators of G protein signaling.

BACKGROUND: Many marketed therapeutic agents have been developed to modulate the function of G protein-coupled receptors (GPCRs). The regulators of G-protein signaling (RGS proteins) are also being examined as potential drug targets. To facilitate clinical and pharmacological research, we have developed a novel integrated biological database called RINGdb to provide comprehensive and organized RGS protein and GPCR information. RESULTS: RINGdb contains information on mutations, tissue distributions, protein-protein interactions, diseases/disorders and other features, which has been automatically collected from the Internet and manually extracted from the literature. In addition, RINGdb offers various user-friendly query functions to answer different questions about RGS proteins and GPCRs such as their possible contribution to disease processes, the putative direct or indirect relationship between RGS proteins and GPCRs. RINGdb also integrates organized database cross-references to allow users direct access to detailed information. The database is now available at http://ringdb.csie.ncu.edu.tw/ringdb/. CONCLUSION: RINGdb is the only integrated database on the Internet to provide comprehensive RGS protein and GPCR information. This knowledge base will be useful for clinical research, drug discovery and GPCR signaling pathway research.

Amino Acid Sequence↗

PubMed2002

Analysis of the proteome in the human pituitary.

The pituitary is the master endocrine gland responsible for the regulation of various physiologic and metabolic processes. Proteomics offers an efficient means for a comprehensive analysis of pituitary protein expression. This paper reports on the application of proteomics for the mapping of major proteins in a normal (control) pituitary. Pituitary proteins were separated by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient strips. Major protein spots that were visualized in the two-dimensional gel by silver staining were excised, and the proteins in these spots were digested with trypsin. The tryptic digests were analyzed by mass spectrometry, and the mass spectrometric data were used to identify the proteins through searches of the SWISS-PROT or NCBInr protein sequence databases. The majority of the proteins were identified on the basis of peptide mass fingerprinting data obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Several proteins were also characterized based on product-ion spectra measured by post-source decay analysis and/or liquid chromatography-electrospray-quadrupole ion trap mass spectrometry. To date, 62 prominent protein spots, corresponding to 38 different proteins, were identified. The identified proteins include important pituitary hormones, structural proteins, enzymes, and other proteins. The protein identification data were used to establish a two-dimensional reference database of the human pituitary, which can be accessed over the Internet (http://www.utmem.edu/proteomics). This database will serve as a tool for further proteomics studies of pituitary protein expression in health and disease.

Computational Biology↗

PubMed2003

Automated Gene Ontology annotation for anonymous sequence data.

Gene Ontology (GO) is the most widely accepted attempt to construct a unified and structured vocabulary for the description of genes and their products in any organism. Annotation by GO terms is performed in most of the current genome projects, which besides generality has the advantage of being very convenient for computer based classification methods. However, direct use of GO in small sequencing projects is not easy, especially for species not commonly represented in public databases. We present a software package (GOblet), which performs annotation based on GO terms for anonymous cDNA or protein sequences. It uses the species independent GO structure and vocabulary together with a series of protein databases collected from various sites, to perform a detailed GO annotation by sequence similarity searches. The sensitivity and the reference protein sets can be selected by the user. GOblet runs automatically and is available as a public service on our web server. The paper also addresses the reliability of automated GO annotations by using a reference set of more than 6000 human proteins. The GOblet server is accessible at http://goblet.molgen.mpg.de.

Animals↗

PubMed2003

The Comparative Toxicogenomics Database (CTD).

The Mount Desert Island Biological Laboratory in Salsbury Cove, Maine, USA, is developing the Comparative Toxicogenomics Database (CTD), a community-supported genomic resource devoted to genes and proteins of human toxicologic significance. CTD will be the first publicly available database to a) provide annotated associations among genes, proteins, references, and toxic agents, with a focus on annotating data from aquatic and mammalian organisms; b) include nucleotide and protein sequences from diverse species; c) offer a range of analysis tools for customized comparative studies; and d) provide information to investigators on available molecular reagents. This combination of features will facilitate cross-species comparisons of toxicologically significant genes and proteins. These comparisons will promote understanding of molecular evolution, the significance of conserved sequences, the genetic basis of variable sensitivity to environmental agents, and the complex interactions between the environment and human health. CTD is currently under development, and the planned scope and functions of the database are described herein. The intent of this report is to invite community participation in the development of CTD to ensure that it will be a valuable resource for environmental health, molecular biology, and toxicology research.

Animals↗