Glycoproteomic and glycomic databases

Protein glycosylation serves critical roles in the cellular and biological processes of many organisms. Aberrant glycosylation has been associated with many illnesses such as hereditary and chronic diseases like cancer, cardiovascular diseases, neurological disorders, and immunological disorders. Emerging mass spectrometry (MS) technologies that enable the high-throughput identification of glycoproteins and glycans have accelerated the analysis and made possible the creation of dynamic and expanding databases. Although glycosylation-related databases have been established by many laboratories and institutions, they are not yet widely known in the community. Our study reviews 15 different publicly available databases and identifies their key elements so that users can identify the most applicable platform for their analytical needs. These databases include biological information on the experimentally identified glycans and glycopeptides from various cells and organisms such as human, rat, mouse, fly and zebrafish. The features of these databases - 7 for glycoproteomic data, 6 for glycomic data, and 2 for glycan binding proteins are summarized including the enrichment techniques that are used for glycoproteome and glycan identification. Furthermore databases such as Unipep, GlycoFly, GlycoFish recently established by our group are introduced. The unique features of each database, such as the analytical methods used and bioinformatical tools available are summarized. This information will be a valuable resource for the glycobiology community as it presents the analytical methods and glycosylation related databases together in one compendium. It will also represent a step towards the desired long term goal of integrating the different databases of glycosylation in order to characterize and categorize glycoproteins and glycans better for biomedical research.     

ALFRED: An allele frequency database for anthropology

The deluge of data from the human genome project (HGP) presents new opportunities for molecular anthropologists to study human variation through the promise of vast numbers of new polymorphisms (e.g., single nucleotide polymorphisms or SNPs). Collecting the resulting data into a single, easily accessible resource will be important to facilitate this research. We created a prototype Web-accessible database named ALFRED (ALelle FREquency Database, http://alfred.med.yale.edu/alfred/) to store and make publicly available allele frequency data on diverse polymorphic sites for many populations. In constructing this database, we considered many different concerns relating to the types of information needed for anthropology, population genetics, molecular genetics, and statistics, as well as issues of data integrity and ease of access to data. We also developed links to other Web-based databases as well as procedures for others to make links to the data in ALFRED. Here we present an overview of the issues considered and provisional solutions, as well as an example of data already available. It is our hope that this database will be useful for research and teaching in a wide range of fields, and that colleagues from various fields will contribute to making ALFRED an important resource for many studies as yet unforeseen.     

Proteomics data repositories: Providing a safe haven for your data and acting as a springboard for further research

Despite the fact that data deposition is not a generalised fact yet in the field of proteomics, several mass spectrometry (MS) based proteomics repositories are publicly available for the scientific community. The main existing resources are: the Global Proteome Machine Database (GPMDB), PeptideAtlas, the PRoteomics IDEntifications database (PRIDE), Tranche, and NCBI Peptidome. In this review the capabilities of each of these will be described, paying special attention to four key properties: data types stored, applicable data submission strategies, supported formats, and available data mining and visualization tools. Additionally, the data contents from model organisms will be enumerated for each resource. There are other valuable smaller and/or more specialized repositories but they will not be covered in this review. Finally, the concept behind the ProteomeXchange consortium, a collaborative effort among the main resources in the field, will be introduced.     

High degree of transferability of 86 newly developed zebra finch EST-linked microsatellite markers in 8 bird species

High-resolution analysis for population genetic and functional studies requires the use of large numbers of polymorphic markers. The recent increase of available genetic tools is facilitated by the use of publicly available expressed sequence tag (EST) sequence databases that are a valuable resource for identifying gene-linked markers. In the present study, we applied bioinformatics analyses to identify microsatellite markers present in EST sequences from a zebra finch (Taeniopgia guttata) EST database and we explore the success of cross-species amplification of EST-linked microsatellite markers in 7 passerine and 1 nonpasserine species. Eighty-six zebra finch EST-linked microsatellite loci were screened for polymorphism revealing a high amplification success rate and adequate levels of polymorphism (33.3-51%) for relatively closely related species, whereas success decreased in the most distantly related species to zebra finch. EST-linked microsatellites appear to be more highly transferable between taxa than anonymous microsatellites as they revealed higher amplification and polymorphism success between different families indicating that they will be a useful source of gene-linked polymorphic markers in a broad range of avian species.     

EST databases as a source for molecular markers: lessons from Helianthus

Expressed sequence tag (EST) databases represent a potentially valuable resource for the development of molecular markers for use in evolutionary studies. Because EST-derived markers come from transcribed regions of the genome, they are likely to be conserved across a broader taxonomic range than are other sorts of markers. This paper describes a case study in which the publicly available cultivated sunflower (Helianthus annuus) EST database was used to develop simple sequence repeat (SSR) markers for use in the genetic analysis of a rare sunflower species, Helianthus verticillatus, as well as the more widespread Helianthus angustifolius. EST-derived SSRs were found to be more than 3 times as transferable across species as compared with anonymous SSRs (73% vs. 21%, respectively). Moreover, EST-SSRs whose primers were located within protein-coding sequence were more readily transferable than those derived from untranslated regions, and the former loci were no less variable than the latter. The utility of existing EST databases as a means for facilitating population genetic analyses in plants was further explored by cross-referencing publicly available EST resources against available lists of rare or invasive flowering plant taxa. This survey revealed that more than one-third of all plant-derived EST collections of sufficient size could conceivably serve as a source of EST-SSRs for the analysis of rare, endangered, or invasive plant species worldwide.     

Introducing GeneDB: a generic database

GeneDB (http://www.genedb.org) is a generic database designed to house annotated and curated sequencing data for small genomes, together with a comprehensive array of genomic and proteomic information, collated from publicly available sources. This first release is a prototype designed with input from the research community and is still under continual development. At present, data from Leishmania major and Trypanosoma brucei are integrated into GeneDB. This user-friendly database will add significantly to the valuable resources already available to the research community via the web.     

GenBank

GenBank (R) is a comprehensive sequence database that contains publicly available DNA sequences for more than 119 000 different organisms, obtained primarily through the submission of sequence data from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the BankIt (web) or Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the EMBL Data Library in the UK and the DNA Data Bank of Japan helps ensure worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, go to the NCBI home page at: http://www.ncbi.nlm.nih.gov.     

LOX-DB-- database on lipoxygenases

SUMMARY: Lipoxygenases are a family of enzymes involved in a variety of human diseases like inflammation, asthma, artherosclerosis and cancer. The lipoxygenases database (LOX-DB) aims to be a web accessible compendium of information in particular on the mammalian members of this multigene family. This resource includes molecular structures, reference data, tools for structural and computational analysis as well as links to related information maintained by others. The data can be retrieved by the use of various search options and analyzed applying publicly available visualization tools. AVAILABILITY: LOX-DB is available at http://www.dkfz-heidelberg.de/spec/lox-db/     

Mapping PDB chains to UniProtKB entries

MOTIVATION: UniProtKB/SwissProt is the main resource for detailed annotations of protein sequences. This database provides a jumping-off point to many other resources through the links it provides. Among others, these include other primary databases, secondary databases, the Gene Ontology and OMIM. While a large number of links are provided to Protein Data Bank (PDB) files, obtaining a regularly updated mapping between UniProtKB entries and PDB entries at the chain or residue level is not straightforward. In particular, there is no regularly updated resource which allows a UniProtKB/SwissProt entry to be identified for a given residue of a PDB file. RESULTS: We have created a completely automatically maintained database which maps PDB residues to residues in UniProtKB/SwissProt and UniProtKB/trEMBL entries. The protocol uses links from PDB to UniProtKB, from UniProtKB to PDB and a brute-force sequence scan to resolve PDB chains for which no annotated link is available. Finally the sequences from PDB and UniProtKB are aligned to obtain a residue-level mapping. AVAILABILITY: The resource may be queried interactively or downloaded from http://www.bioinf.org.uk/pdbsws/.     

TGB: the tobacco genetics and breeding database

The germplasm of the genus Nicotiana contains more than 5,000 accessions and plays an important role in modern biological research. Tobacco can be used as a model system to develop methodologies for plant transformation and for investigating gene function. In order to develop the study of Nicotiana, a large quantity of data on germplasm, sequences, molecular markers and genetically modified tobacco was required for in-depth and systematic collation and research. It became necessary to establish a special database for tobacco genetics and breeding. The tobacco genetics and breeding (TGB, http://yancao.sdau.edu.cn/tgb) database was developed with the aim of bringing together tobacco genetics and breeding. The database has three main features: (1) a materials database with information on 1,472 Nicotiana germplasm accessions, as well as updated genomic and expressed sequence tag (EST) data available from the public database; (2) a molecular markers database containing a total of 12,388 potential intron polymorphisms 10,551 EST-simple sequence repeat (EST-SSR) and 66,297 genomic-SSR markers; and (3) an applications database with genetic maps and some genetically modified studies in tobacco. The TGB database also makes Basic Local Alignment Search Tool and primer designing tools publicly available. As far as can be ascertained, the TGB database is the first tobacco genetics and breeding database to be created, and all this comprehensive information will aid basic research into Nicotiana and other related plants. It will serve as an excellent resource for the online tobacco research community.     

SWISS-PROT: connecting biomolecular knowledge via a protein database

With the explosive growth of biological data, the development of new means of data storage was needed. More and more often biological information is no longer published in the conventional way via a publication in a scientific journal, but only deposited into a database. In the last two decades these databases have become essential tools for researchers in biological sciences. Biological databases can be classified according to the type of information they contain. There are basically three types of sequence-related databases (nucleic acid sequences, protein sequences and protein tertiary structures) as well as various specialized data collections. It is important to provide the users of biomolecular databases with a degree of integration between these databases as by nature all of these databases are connected in a scientific sense and each one of them is an important piece to biological complexity. In this review we will highlight our effort in connecting biological information as demonstrated in the SWISS-PROT protein database.     

The PIR-International databases.

PIR-International is an association of macromolecular sequence data collection centers dedicated to fostering international cooperation as an essential element in the development of scientific databases. PIR-International is most noted for the Protein Sequence Database. This database originated in the early 1960's with the pioneering work of the late Margaret Dayhoff as a research tool for the study of protein evolution and intersequence relationships; it is maintained as a scientific resource, organized by biological concepts, using sequence homology as a guiding principle. PIR-International also maintains a number of other genomic, protein sequence, and sequence-related databases. The databases of PIR-International are made widely available. This paper briefly describes the architecture of the Protein Sequence Database, a number of other PIR-International databases, and mechanisms for providing access to and for distribution of these databases.     

Recruitment Notice

Senior Managing Editor, Journal of Integrative Plant Biology Journal of Integrative Plant Biology (JIPB) is a monthly plant biological journal that reports scientific discoveries by using integrative genetic, chemical, cell and molecular biological approaches. As one of Wiley-Blackwell's leadingjournals, JIPB is available in over 7,800 libraries worldwide and indexed by 45 databases such as PubMed, Google Scholar, SCI, CA, BA and BIOSIS (www.jipb.net). We are looking for a Senior Managing Editor to be fully in-charge of the Editorial Office, to work under the supervision of the chief editor and the board members to promote the journal in the plant science community, to bridge the communication between the editorial board, the reviewers, the authors and the publisher. The ideal candidate should be creative in increasing the journal’s visibility through organizing special issues, setting up a user-friendly public access system, and ensuring an efficient publication cycle. The annual salary range will be 100,000 RMB to 180,000 RMB, depending on the qualification. This position opens opens for application from 1 September, 2009, till the position is filled. Qualifications: 1. PhD degree in plant molecular biology-related area; 2. Over three-year-working experience in scientific publishing or three or more years research experience in an English-speaking laboratory, with good publication record; 3. Experienced in writing, editing and marketing scientific journals. To apply, please send your application, including your CV and the names of three referee, to cmliu@ibcas.ac.cn.     

The glucocorticoid receptor resource.

The glucocorticoid receptor resource focuses on the structure-function relationships of the glucocorticoid receptor. As well as links to sequence and bibliographic databases via the World Wide Web, the database contains sequence comparisons of receptors from different species and source information for glucocorticoid receptor clones, probes, cell lines and antibodies. The resource allows the electronic publication of essays, unpublished data and reviews on steroid receptors. These publications will not be reviewed or edited and should allow the rapid dissemination of information to the scientific community. The resource can be reached at: http://biochem1.basic- sci.georgetown.edu/grr/grr.html.     

Role for protein–protein interaction databases in human genetics

Proteomics and the study of protein–protein interactions are becoming increasingly important in our effort to understand human diseases on a system-wide level. Thanks to the development and curation of protein-interaction databases, up-to-date information on these interaction networks is accessible and publicly available to the scientific community. As our knowledge of protein–protein interactions increases, it is important to give thought to the different ways that these resources can impact biomedical research. In this article, we highlight the importance of protein–protein interactions in human genetics and genetic epidemiology. Since protein–protein interactions demonstrate one of the strongest functional relationships between genes, combining genomic data with available proteomic data may provide us with a more in-depth understanding of common human diseases. In this review, we will discuss some of the fundamentals of protein interactions, the databases that are publicly available and how information from these databases can be used to facilitate genome-wide genetic studies.     

A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

Genomic data allow the large-scale manual or semi-automated assembly of metabolic network reconstructions, which provide highly curated organism-specific knowledge bases. Although several genome-scale network reconstructions describe Saccharomyces cerevisiae metabolism, they differ in scope and content, and use different terminologies to describe the same chemical entities. This makes comparisons between them difficult and underscores the desirability of a consolidated metabolic network that collects and formalizes the 'community knowledge' of yeast metabolism. We describe how we have produced a consensus metabolic network reconstruction for S. cerevisiae. In drafting it, we placed special emphasis on referencing molecules to persistent databases or using database-independent forms, such as SMILES or InChI strings, as this permits their chemical structure to be represented unambiguously and in a manner that permits automated reasoning. The reconstruction is readily available via a publicly accessible database and in the Systems Biology Markup Language (http://www.comp-sys-bio.org/yeastnet). It can be maintained as a resource that serves as a common denominator for studying the systems biology of yeast. Similar strategies should benefit communities studying genome-scale metabolic networks of other organisms.