Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genomic database”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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

At least 1,333 records · Page 74Linked to original sources

Twelve Japanese patients with POLG-related disorders: Population-specific genetic differences of POLG variants in Japan and Europe.

BACKGROUND: POLG encodes mitochondrial DNA (mtDNA) polymerase γ. Pathogenic POLG variants cause mitochondrial diseases, including progressive external ophthalmoplegia. POLG-related disorders are relatively common in Europe, possibly because of the high prevalence of carriers in the general population, but remain rare in Japan for unclear reasons. METHODS: We performed long-range PCR on mtDNA from skeletal muscle and/or peripheral blood from 3146 patients with suspected mitochondrial disease between 1993 and 2021. We selected 167 individuals with clinical features suggestive of POLG-related disorders for POLG gene analysis; all lacked pathogenic mtDNA point mutations, and most had multiple mtDNA deletions and/or a family history of mitochondrial disease. RESULTS: Among the 167 patients (median age: 52 years, range: 0-83 years, 11% pediatric cases), we identified 12 Japanese patients with POLG-related disorders and six POLG variants, including one novel variant. The six variants were p.Y955C, p.R943H, p.T599I, p.M299L, p.Y1210* (c.3626_3629dupGATA), and the novel variant p.F377S (c.1130T>C). Neither these six variants nor the 10 previously reported cases from Japan included the POLG variants that are more frequent in Europe. We also analyzed three population databases: two whole-genome sequencing databases covering 61,000 and 9850 Japanese individuals, respectively, and one global population database (gnomAD) covering 730,000 individuals worldwide. POLG variants that are more frequent in Europe were not detected in the Japanese databases or among East Asian individuals in gnomAD. CONCLUSIONS: Our findings suggest population-specific genetic differences in POLG between Japanese and European populations, explaining the lower frequency of POLG-related disorders in Japan.

CPEO↗

Protein analysis by mass spectrometry and sequence database searching: tools for cancer research in the post-genomic era.

The post-genomic era is characterized by the deposition of sequence information for entire genomes in databases. Currently, besides the protein sequences for known human proteins, there are partial sequences from thousands more human proteins for which no biological function has been assigned. A powerful new tool for the unambiguous identification and characterization of gel-separated proteins is accomplished by the combination of mass spectrometry and sequence database searching. This combination provides the cancer biologist with the ability to (i) identify the potential protein:protein associations and (ii) fully characterize function-critical post-translational modifications, both directly from silver-stained polyacrylamide gels. In this report we describe the application of tandem mass spectrometry and database searching to two problems which are prototypical for cancer research and indeed for biomedical research in general. The first is the identification of gel-separated, low abundance proteins based on amino acid sequence composition following coimmunoprecipitation with the human apoptosis inhibitor protein BclX(L). The second is the determination of the precise sites of phosphorylation of the human regulatory protein 4E-BP1, which controls mRNA translation.

Amino Acid Sequence↗

Tetranucleotide repeats in coding regions: no evidence for involvement in EMAST carcinogenesis.

Genetic instability is a hallmark of malignancy. In the majority of malignant tumors, chromosomal instability leads to major numerical and structural chromosomal aberrations. In contrast, some tumors have a deficient DNA mismatch repair system and accumulate mutations particularly in repetitive mono- and dinucleotide sequences, a phenomenon referred to as microsatellite instability (MSI). Recently, a novel phenotype of tumors presenting with elevated microsatellite alterations at selected tetranucleotide repeats (EMAST) has been reported. To date, not much is known about the molecular mechanisms of EMAST tumorigenesis. In MSI tumors, instability at specific mono- and dinucleotide repeats leads to alteration of genes carrying these repeats and thus may contribute to MSI tumorigenesis. We hypothesized that, similarly to the MSI phenotype, development of EMAST cancers may be promoted by mutations affecting tetranucleotides located in coding regions of the genome. To test this hypothesis, we performed a genome-wide database search to identify tetranucleotides in gene-encoding regions. Only seven tetranucleotide repeats located in predicted gene-encoding regions were retrieved. Allele length analysis yielded three remaining candidates with a monomorphic pattern in healthy individuals. Mutation analysis revealed that none of these three candidates displayed mutations in EMAST-positive bladder cancers. These data suggest that mutational inactivation of tetranucleotide-containing genes is very unlikely to contribute to the progression of EMAST tumors.

Biomarkers, Tumor↗

Annotation matters: the effect of structural gene annotation on orthology inference.

MOTIVATION: In silico gene annotation, the process of identifying the genes present in a genome, remains a challenging task. As genome assemblies rapidly increase, the corresponding gene models and repertoires often fall short in quality. Despite advances in annotation methods, a lack of community standards means that most published gene annotations result from ad hoc pipelines. As a result, only a few species have nearly complete and accurate gene models. This annotation quality is thought to affect downstream analyses, including orthology inference, often the first step of comparative genomics studies. RESULTS: We show that different annotation methods yield markedly distinct orthology inferences. We compared orthology assignments of gene models obtained by four prominent protein-coding gene model sources: the NCBI Eukaryotic Genome Annotation Pipeline, the Ensembl Gene Annotation System, the UniProt Reference Proteomes, and Augustus 3.4 (an ab initio pipeline). We observe significant discrepancies between sources, namely in the proportion of orthologous genes per genome, the completeness of Hierarchical Orthologous Groups, and the accuracy and recall of the predicted orthologs on a standard orthology benchmark.

Molecular Sequence Annotation↗

SIMAP--the similarity matrix of proteins.

MOTIVATION: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searches for homologous proteins in databases are computationally expensive and can be replaced by a database of pre-calculated homologies in many cases. Retrieving similarities from an incrementally updated database instead of repeatedly recalculating them should provide homologs much faster and frees computational resources for other purposes. RESULTS: We have implemented SIMAP-a database containing the similarity space formed by almost all amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and allows incremental updates. We have implemented a powerful backbone for similarity computation, which is based on FASTA heuristics. By providing WWW interfaces as well as web services, we make our data accessible to the worldwide community. We have also adapted procedures to detect putative orthologs as example applications. AVAILABILITY: The SIMAP portal page providing links to SIMAP services is publicly available: http://mips.gsf.de/services/analysis/simap/. The web services can be accessed under http://mips.gsf.de/proj/hobitws/services/RPCSimapService?wsdl and http://mips.gsf.de/proj/hobitws/services/DocSimapService?wsdl

Algorithms↗

FUGOID: functional genomics of organellar introns database.

FUGOID is a web-based, taxonomically broad organelle intron database that collects and integrates various functional and structural data on organellar (mitochondrial and chloroplast) introns. The main information provided by FUGOID includes intron sequence, subclass, resident ORF, self-splicing capability, host gene, protein factor(s) involved in splicing, mobility, insertion site, twintron, seminal references and taxonomic position of host organism. It is implemented in a relational database management system, allowing sophisticated, user-friendly searching, data entry and revision. Users can access the database by any common web browser using a variety of operating systems. The main page of the database is available at http://wnt.cc.utexas.edu/~ifmr530/introndata/main.htm.

Animals↗

OntoBlast function: From sequence similarities directly to potential functional annotations by ontology terms.

OntoBlast allows one to find information about potential functions of proteins by presenting a weighted list of ontology entries associated with similar sequences from completely sequenced genomes identified in a BLAST search. It combines, in a single analysis step, the search for sequence similarities in several species with the association of information stored in ontologies. From each identified ontology term a list of genes, which share the functional annotation, can be retrieved. The OntoBlast function is an integral part of the 'Ontologies TO GenomeMatrix' tool which provides an alternative entry point from ontology terms to the Genome-Matrix database. OntoBlast's web interface is accessible on the 'Ontologies TO GenomeMatrix Gate' page at http://functionalgenomics.de/ontogate/.

Animals↗

SIMAP: the similarity matrix of proteins.

Similarity Matrix of Proteins (SIMAP) (http://mips.gsf.de/simap) provides a database based on a pre-computed similarity matrix covering the similarity space formed by >4 million amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and is updated incrementally. For sequence similarity searches and pairwise alignments, we implemented a grid-enabled software system, which is based on FASTA heuristics and the Smith-Waterman algorithm. Our ProtInfo system allows querying by protein sequences covered by the SIMAP dataset as well as by fragments of these sequences, highly similar sequences and title words. Each sequence in the database is supplemented with pre-calculated features generated by detailed sequence analyses. By providing WWW interfaces as well as web-services, we offer the SIMAP resource as an efficient and comprehensive tool for sequence similarity searches.

Databases, Protein↗

Galaxy: a platform for interactive large-scale genome analysis.

Accessing and analyzing the exponentially expanding genomic sequence and functional data pose a challenge for biomedical researchers. Here we describe an interactive system, Galaxy, that combines the power of existing genome annotation databases with a simple Web portal to enable users to search remote resources, combine data from independent queries, and visualize the results. The heart of Galaxy is a flexible history system that stores the queries from each user; performs operations such as intersections, unions, and subtractions; and links to other computational tools. Galaxy can be accessed at http://g2.bx.psu.edu.

Biological Evolution↗

Alternate promoter and 5'-untranslated exon usage of the mouse adrenocorticotropin receptor gene in adipose tissue.

Mouse adrenocorticotropin receptor (ACTH-R/MC2R) messenger ribonucleic acid (mRNA) is expressed predominantly in the adrenal gland and, to a lesser extent, in adipose tissue. In this study, we found a novel 135-bp exon 1 (exon 1f) of the ACTH-R gene transcribed in mouse adipose tissue by RNA ligase-mediated rapid amplification of cDNA ends, which was located 1.4 kb downstream in the genome of previously-reported exon 1 (exon 1a) transcribed in the adrenal gland. The novel promoter region, 1.4 kb upstream of exon 1f contained three CCAAT boxes. RT-PCR analysis revealed that ACTH-R mRNA from adipose tissue and differentiated 3T3-L1 adipocytes exclusively contained exon 1f. Thus, the promoter region flanking to exon 1f is thought to be essential for adipose tissue, while that flanking to exon 1a is specific for the adrenal gland. A search for a similar sequence of mouse ACTH-R exon 1f and its flanking region in the human genome sequence database of GenBank Human Genome Resources did not reveal such a sequence in the region of the human ACTH-R gene. This may explain the absence of ACTH-R expression in human adipose tissue.

5' Untranslated Regions↗

The promise of structural genomics in the discovery of new antimicrobial agents.

Structural Genomics stands out among the emerging fields of proteomics since it influences the drug discovery process at so many points. Recent developments in protein expression technologies, x-ray crystallography and NMR spectroscopy provide the essential elements for high-throughput structure determination platforms. Bioinformatics methods to interrogate the resulting data will provide comprehensive, genome-wide databases of protein structure. Genomic sequencing and methods for high-throughput expression and protein purification are furthest advanced for microbial genes and so these have been the early targets for structural genomics initiatives. The information will be invaluable in understanding gene function, designing broad-spectrum small molecule inhibitors and in better understanding drug-host interactions.

Anti-Bacterial Agents↗

Rice at the forefront of plant genome informatics.

As rice genomicsdata continue to accumulate at a rapid rate, are becoming more valuable to warehouse and access large and rigorous data sets. This article gives an overview of available resources on rice bioinformatics and their role in elucidating and propagating biological and genomic information in rice. Of particular focus here is the informatics infrastructure developed at the Rice Genome Research Program (RGP) following an extensive rice genome analysis. The database named INE (Integrated Rice Genome Explorer) integrates the genetic and physical mapping information with the genome sequence being generated in collaboration with the International Rice Genome Sequencing Project (IRGSP). Database links are initially evaluated using an interoperable query tool to explore and compare data across the rice and maize genome databases and potential application to multiple crop database querying. A proposed logistics for interlinking these resources is presented to integrate, manipulate and analyze information on the rice genome. One of the biggest challenges of rice bioinformatics lies in the emerging role of rice as a model system among grass crop species. In view of the importance of comparative genetics in the formulation of new knowledge on plant genomes and genes, comparative bioinformatics remains an essential strategy to gain new insights on the needs and expectations on rice genomics.

Chromosome Mapping↗

A rapid classification protocol for the CATH Domain Database to support structural genomics.

In order to support the structural genomic initiatives, both by rapidly classifying newly determined structures and by suggesting suitable targets for structure determination, we have recently developed several new protocols for classifying structures in the CATH domain database (http://www.biochem.ucl.ac.uk/bsm/cath). These aim to increase the speed of classification of new structures using fast algorithms for structure comparison (GRATH) and to improve the sensitivity in recognising distant structural relatives by incorporating sequence information from relatives in the genomes (DomainFinder). In order to ensure the integrity of the database given the expected increase in data, the CATH Protein Family Database (CATH-PFDB), which currently includes 25,320 structural domains and a further 160,000 sequence relatives has now been installed in a relational ORACLE database. This was essential for developing more rigorous validation procedures and for allowing efficient querying of the database, particularly for genome analysis. The associated Dictionary of Homologous Superfamilies [Bray,J.E., Todd,A.E., Pearl,F.M.G., Thornton,J.M. and Orengo,C.A. (2000) Protein Eng., 13, 153-165], which provides multiple structural alignments and functional information to assist in assigning new relatives, has also been expanded recently and now includes information for 903 homologous superfamilies. In order to improve coverage of known structures, preliminary classification levels are now provided for new structures at interim stages in the classification protocol. Since a large proportion of new structures can be rapidly classified using profile-based sequence analysis [e.g. PSI-BLAST: Altschul,S.F., Madden,T.L., Schaffer,A.A., Zhang,J., Zhang,Z., Miller,W. and Lipman,D.J. (1997) Nucleic Acids Res., 25, 3389-3402], this provides preliminary classification for easily recognisable homologues, which in the latest release of CATH (version 1.7) represented nearly three-quarters of the non-identical structures.

Computational Biology↗

Visualizing information across multidimensional post-genomic structured and textual databases.

MOTIVATION: Visualizing relationships among biological information to facilitate understanding is crucial to biological research during the post-genomic era. Although different systems have been developed to view gene-phenotype relationships for specific databases, very few have been designed specifically as a general flexible tool for visualizing multidimensional genotypic and phenotypic information together. Our goal is to develop a method for visualizing multidimensional genotypic and phenotypic information and a model that unifies different biological databases in order to present the integrated knowledge using a uniform interface. RESULTS: We developed a novel, flexible and generalizable visualization tool, called PhenoGenesviewer (PGviewer), which in this paper was used to display gene-phenotype relationships from a human-curated database (OMIM) and from an automatic method using a Natural Language Processing tool called BioMedLEE. Data obtained from multiple databases were first integrated into a uniform structure and then organized by PGviewer. PGviewer provides a flexible query interface that allows dynamic selection and ordering of any desired dimension in the databases. Based on users' queries, results can be visualized using hierarchical expandable trees that present views specified by users according to their research interests. We believe that this method, which allows users to dynamically organize and visualize multiple dimensions, is a potentially powerful and promising tool that should substantially facilitate biological research. AVAILABILITY: PhenogenesViewer as well as its support and tutorial are available at http://www.dbmi.columbia.edu/pgviewer/ CONTACT: Lussier@dbmi.columbia.edu.

Computer Graphics↗

Current bioinformatics tools in genomic biomedical research (Review).

On the advent of a completely assembled human genome, modern biology and molecular medicine stepped into an era of increasingly rich sequence database information and high-throughput genomic analysis. However, as sequence entries in the major genomic databases currently rise exponentially, the gap between available, deposited sequence data and analysis by means of conventional molecular biology is rapidly widening, making new approaches of high-throughput genomic analysis necessary. At present, the only effective way to keep abreast of the dramatic increase in sequence and related information is to apply biocomputational approaches. Thus, over recent years, the field of bioinformatics has rapidly developed into an essential aid for genomic data analysis and powerful bioinformatics tools have been developed, many of them publicly available through the World Wide Web. In this review, we summarize and describe the basic bioinformatics tools for genomic research such as: genomic databases, genome browsers, tools for sequence alignment, single nucleotide polymorphism (SNP) databases, tools for ab initio gene prediction, expression databases, and algorithms for promoter prediction.

Computational Biology↗

NemaFootPrinter: a web based software for the identification of conserved non-coding genome sequence regions between C. elegans and C. briggsae.

BACKGROUND: NemaFootPrinter (Nematode Transcription Factor Scan Through Philogenetic Footprinting) is a web-based software for interactive identification of conserved, non-exonic DNA segments in the genomes of C. elegans and C. briggsae. It has been implemented according to the following project specifications:a) Automated identification of orthologous gene pairs. b) Interactive selection of the boundaries of the genes to be compared. c) Pairwise sequence comparison with a range of different methods. d) Identification of putative transcription factor binding sites on conserved, non-exonic DNA segments. RESULTS: Starting from a C. elegans or C. briggsae gene name or identifier, the software identifies the putative ortholog (if any), based on information derived from public nematode genome annotation databases. The investigator can then retrieve the genome DNA sequences of the two orthologous genes; visualize graphically the genes' intron/exon structure and the surrounding DNA regions; select, through an interactive graphical user interface, subsequences of the two gene regions. Using a bioinformatics toolbox (Blast2seq, Dotmatcher, Ssearch and connection to the rVista database) the investigator is able at the end of the procedure to identify and analyze significant sequences similarities, detecting the presence of transcription factor binding sites corresponding to the conserved segments. The software automatically masks exons. DISCUSSION: This software is intended as a practical and intuitive tool for the researchers interested in the identification of non-exonic conserved sequence segments between C. elegans and C. briggsae. These sequences may contain regulatory transcriptional elements since they are conserved between two related, but rapidly evolving genomes. This software also highlights the power of genome annotation databases when they are conceived as an open resource and the possibilities offered by seamless integration of different web services via the http protocol. AVAILABILITY: The program is freely available at http://bio.ifom-firc.it/NTFootPrinter.

Animals↗

MIPS: analysis and annotation of proteins from whole genomes.

The Munich Information Center for Protein Sequences (MIPS-GSF), Neuherberg, Germany, provides protein sequence-related information based on whole-genome analysis. The main focus of the work is directed toward the systematic organization of sequence-related attributes as gathered by a variety of algorithms, primary information from experimental data together with information compiled from the scientific literature. MIPS maintains automatically generated and manually annotated genome-specific databases, develops systematic classification schemes for the functional annotation of protein sequences and provides tools for the comprehensive analysis of protein sequences. This report updates the information on the yeast genome (CYGD), the Neurospora crassa genome (MNCDB), the database of complete cDNAs (German Human Genome Project, NGFN), the database of mammalian protein-protein interactions (MPPI), the database of FASTA homologies (SIMAP), and the interface for the fast retrieval of protein-associated information (QUIPOS). The Arabidopsis thaliana database, the rice database, the plant EST databases (MATDB, MOsDB, SPUTNIK), as well as the databases for the comprehensive set of genomes (PEDANT genomes) are described elsewhere in the 2003 and 2004 NAR database issues, respectively. All databases described, and the detailed descriptions of our projects can be accessed through the MIPS web server (http://mips.gsf.de).

Animals↗

Arabidopsis genes involved in acyl lipid metabolism. A 2003 census of the candidates, a study of the distribution of expressed sequence tags in organs, and a web-based database.

The genome of Arabidopsis has been searched for sequences of genes involved in acyl lipid metabolism. Over 600 encoded proteins have been identified, cataloged, and classified according to predicted function, subcellular location, and alternative splicing. At least one-third of these proteins were previously annotated as "unknown function" or with functions unrelated to acyl lipid metabolism; therefore, this study has improved the annotation of over 200 genes. In particular, annotation of the lipolytic enzyme group (at least 110 members total) has been improved by the critical examination of the biochemical literature and the sequences of the numerous proteins annotated as "lipases." In addition, expressed sequence tag (EST) data have been surveyed, and more than 3,700 ESTs associated with the genes were cataloged. Statistical analysis of the number of ESTs associated with specific cDNA libraries has allowed calculation of probabilities of differential expression between different organs. More than 130 genes have been identified with a statistical probability > 0.95 of preferential expression in seed, leaf, root, or flower. All the data are available as a Web-based database, the Arabidopsis Lipid Gene database (http://www.plantbiology.msu.edu/lipids/genesurvey/index.htm). The combination of the data of the Lipid Gene Catalog and the EST analysis can be used to gain insights into differential expression of gene family members and sets of pathway-specific genes, which in turn will guide studies to understand specific functions of individual genes.

Acylation↗