Search of Biological Databases and Literature
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
PIR Brochure
Protein Information Resource Integrated Protein Informatics Resource for Genomic & Proteomic Research For four decades the Protein Information Resource (PIR) has provided databases and protein sequence analysis tools to the scientific community, including the Protein Sequence Database, which grew out from the Atlas of Protein Sequence and Structure, edited by Margaret Dayhoff [1965-1978]. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PIRSF protein pir.georgetown.edu classification, and iv) iProLINK protein literature mining and ontology development. UniProt – Universal Protein Resource What is UniProt? UniProt is the central resource for storing and UniProt (Universal Protein Resource) http://www.uniprot.org interconnecting information from large and = + + disparate sources and the most UniProt: the world's most comprehensive catalog of information on proteins comprehensive catalog of protein sequence and functional annotation. UniProt Knowledgebase UniProt Reference UniProt Archive (UniProtKB) Clusters (UniRef) (UniParc) When to use UniProt databases Integration of Swiss-Prot, TrEMBL Non-redundant reference A stable, and PIR-PSD sequences clustered from comprehensive Use UniProtKB to retrieve curated, reliable, Fully classified, richly and accurately UniProtKB and UniParc for archive of all publicly annotated protein sequences with comprehensive or fast available protein comprehensive information on proteins. minimal redundancy and extensive sequence searches at 100%, sequences for Use UniRef to decrease redundancy and cross-references 90%, or 50% identity sequence tracking from: speed up sequence similarity searches. TrEMBL section UniRef100 Swiss-Prot, Computer-annotated protein sequences TrEMBL, PIR-PSD, Use UniParc to access to archived sequences EMBL, Ensembl, IPI, and their source databases. -
Loss of BCL-3 Sensitises Colorectal Cancer Cells to DNA Damage, Revealing A
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454995; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title: Loss of BCL-3 sensitises colorectal cancer cells to DNA damage, revealing a role for BCL-3 in double strand break repair by homologous recombination Authors: Christopher Parker*1, Adam C Chambers*1, Dustin Flanagan2, Tracey J Collard1, Greg Ngo3, Duncan M Baird3, Penny Timms1, Rhys G Morgan4, Owen Sansom2 and Ann C Williams1. *Joint first authors. Author affiliations: 1. Colorectal Tumour Biology Group, School of Cellular and Molecular Medicine, Faculty of Life Sciences, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, BS8 1TD, UK 2. Cancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Bearsden Glasgow, G61 1BD UK 3. Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, CF14 4XN UK 4. School of Life Sciences, University of Sussex, Sussex House, Falmer, Brighton, BN1 9RH UK 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454995; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract (250 words) Objective: The proto-oncogene BCL-3 is upregulated in a subset of colorectal cancers (CRC) and increased expression of the gene correlates with poor patient prognosis. The aim is to investigate whether inhibiting BCL-3 can increase the response to DNA damage in CRC. -
Update on Genome Completion and Annotations
UPDATE ON GENOME COMPLETION AND ANNOTATIONS Update on genome completion and annotations: Protein Information Resource Cathy Wu1and Daniel W. Nebert2* 1Director of PIR, Department of Biochemistry and Molecular Biology, Georgetown University Medical Center, Washington, DC, USA 2Department of Environmental Health and Center for Environmental Genetics (CEG), University of Cincinnati Medical Center, Cincinnati, OH 45267–0056, USA *Correspondence to: Tel: þ1 513 558 4347; Fax: þ1 513 558 3562; E-mail: [email protected] Date received (in revised form): 11th January 2004 Abstract The Protein Information Resource (PIR) recently joined the European Bioinformatics Institute (EBI) and Swiss Institute of Bioinformatics (SIB) to establish UniProt — the Universal Protein Resource — which now unifies the PIR, Swiss-Prot and TrEMBL databases. The PIRSF (SuperFamily) classification system is central to the PIR/UniProt functional annotation of proteins, providing classifications of whole proteins into a network structure to reflect their evolutionary relationships. Data integration and associative studies of protein family, function and structure are supported by the iProClass database, which offers value-added descriptions of all UniProt proteins with highly informative links to more than 50 other databases. The PIR system allows consistent, rich and accurate protein annotation for all investigators. Keywords: protein web sites, protein family, functional annotation Introduction system.2 This framework is supported by the iProClass integrated database of protein family, function and structure.3 The high-throughput genome projects have resulted in a rapid iProClass offers value-added descriptions of all UniProt accumulation of genome sequences for a large number of proteins and has highly informative links to more than 50 organisms. -
Positive and Negative Roles of an Initiator Protein at an Origin of Replication
Proc. Natl. Acad. Sci. USA Vol. 83, pp. 9645-9649, December 1986 Genetics Positive and negative roles of an initiator protein at an origin of replication (plasmid R6K/promoter deletions/replication control/autoregulation/immunoassays) MARCIN FILUTOWICZ, MICHAEL J. MCEACHERN, AND DONALD R. HELINSKI Department of Biology, University of California, San Diego, La Jolla, CA 92093 Contributed by Donald R. Helinski, September 5, 1986 ABSTRACT The properties of mutants in the pir gene of origin activity (20) and autogenous regulation of the pir gene, plasmid R6K have suggested that the a protein plays a dual respectively (18, 21). role; it is required for replication to occur and also plays a role A negative role for the irprotein in the control ofR6K copy in the negative control of the plasmid copy number. In our number was suggested originally by the isolation of a mutant present study, we have found that the Xr level in cell extracts of of the R6K derivative plasmid pRK419, designated Cos405, Escherichia coli strains containing R6K derivatives is surpris- that maintained itself at a greatly increased copy number as ingly high (-104 dimers per cell) and that this level is not a result of a single amino acid substitution within the Xr altered in cells carrying high copy number pir mutants. The protein. This mutational change was recessive to wild-type wild-type and a high copy mutant (Cos4O5) pir gene were protein (22). The properties ofthis mutant protein along with inserted downstream of promoters of different strengths to the well-established positive function of ir protein in R6K measure the copy number of an R6K y replicon as a function replication (3, 4) lead to the conclusion that the ir protein ofa 1000-fold range ofintracellular ir concentrations. -
Impact of the Protein Data Bank Across Scientific Disciplines.Data Science Journal, 19: 25, Pp
Feng, Z, et al. 2020. Impact of the Protein Data Bank Across Scientific Disciplines. Data Science Journal, 19: 25, pp. 1–14. DOI: https://doi.org/10.5334/dsj-2020-025 RESEARCH PAPER Impact of the Protein Data Bank Across Scientific Disciplines Zukang Feng1,2, Natalie Verdiguel3, Luigi Di Costanzo1,4, David S. Goodsell1,5, John D. Westbrook1,2, Stephen K. Burley1,2,6,7,8 and Christine Zardecki1,2 1 Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ, US 2 Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, US 3 University of Central Florida, Orlando, Florida, US 4 Department of Agricultural Sciences, University of Naples Federico II, Portici, IT 5 Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, US 6 Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, US 7 Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, US 8 Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, US Corresponding author: Christine Zardecki ([email protected]) The Protein Data Bank archive (PDB) was established in 1971 as the 1st open access digital data resource for biology and medicine. Today, the PDB contains >160,000 atomic-level, experimentally-determined 3D biomolecular structures. PDB data are freely and publicly available for download, without restrictions. Each entry contains summary information about the structure and experiment, atomic coordinates, and in most cases, a citation to a corresponding scien- tific publication. -
The Y Chromosome Modulates Splicing and Sex-Biased Intron Retention Rates in Drosophila
Genetics: Early Online, published on December 20, 2017 as 10.1534/genetics.117.300637 The Y chromosome modulates splicing and sex-biased intron retention rates in Drosophila Meng Wang, Alan T. Branco, Bernardo Lemos Program in Molecular and Integrative Physiological Sciences & Department of Environmental Health Harvard T. H. Chan School of Public Health Correspondence to: Bernardo Lemos Program in Molecular and Integrative Physiological Sciences & Department of Environmental Health Harvard T. H. Chan School of Public Health 665 Huntington Avenue, Boston, MA 02115, Bldg 2, Rm 219 Boston, MA, USA E-mail: [email protected] 1 Copyright 2017. Abstract The Drosophila Y chromosome is a 40MB segment of mostly repetitive DNA; it harbors a handful of protein coding genes and a disproportionate amount of satellite repeats, transposable elements, and multicopy DNA arrays. Intron retention (IR) is a type of alternative splicing (AS) event by which one or more introns remain within the mature transcript. IR recently emerged as a deliberate cellular mechanism to modulate gene expression levels and has been implicated in multiple biological processes. However, the extent of sex differences in IR and the contribution of the Y chromosome to the modulation of alternative splicing and intron retention rates has not been addressed. Here we showed pervasive intron retention (IR) in the fruit fly Drosophila melanogaster with thousands of novel IR events, hundreds of which displayed extensive sex-bias. The data also revealed an unsuspected role for the Y chromosome in the modulation of alternative splicing and intron retention. The majority of sex-biased IR events introduced premature termination codons and the magnitude of sex-bias was associated with gene expression differences between the sexes. -
Gene Ontology: Tool for the Unification of Biology
© 2000 Nature America Inc. • http://genetics.nature.com commentary Gene Ontology: tool for the unification of biology The Gene Ontology Consortium* Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component. The accelerating availability of molecular sequences, particularly The first comparison between two complete eukaryotic .com the sequences of entire genomes, has transformed both the the- genomes (budding yeast and worm5) revealed that a surpris- ory and practice of experimental biology. Where once bio- ingly large fraction of the genes in these two organisms dis- chemists characterized proteins by their diverse activities and played evidence of orthology. About 12% of the worm genes abundances, and geneticists characterized genes by the pheno- (∼18,000) encode proteins whose biological roles could be types of their mutations, all biologists now acknowledge that inferred from their similarity to their putative orthologues in enetics.nature there is likely to be a single limited universe of genes and proteins, yeast, comprising about 27% of the yeast genes (∼5,700). Most many of which are conserved in most or all living cells. -
Pdbefold Tutorial Tutorial Pdbefold Can May Be Accessed from Multiple Locations on the Pdbe Website
PDBe TUTORIAL PDBeFold (SSM: Secondary Structure Matching) http://pdbe.org/fold/ This PDBe tutorial introduces PDBeFold, an interactive service for comparing protein structures in 3D. This service provides: . Pairwise and multiple comparison and 3D alignment of protein structures . Examination of a protein structure for similarity with the whole Protein Data Bank (PDB) archive or SCOP. Best C -alignment of compared structures . Download and visualisation of best-superposed structures using various graphical packages PDBeFold structure alignment is based on identification of residues occupying “equivalent” geometrical positions. In other words, unlike sequence alignment, residue type is neglected. The PDBeFold service is a very powerful structure alignment tool which can perform both pairwise and multiple three dimensional alignment. In addition to this there are various options by which the results of the structural alignment query can be sorted. The results of the Secondary Structure Matching can be sorted based on the Q score (Cα- alignment), P score (taking into account RMSD, number of aligned residues, number of gaps, number of matched Secondary Structure Elements and the SSE match score), Z score (based on Gaussian Statistics), RMSD and % Sequence Identity. It is hoped that at the end of this tutorial users will be able to use PDbeFold for the analysis of their own uploaded structures or entries already in the PDB archive. Protein Data Bank in Europe http://pdbe.org PDBeFOLD Tutorial Tutorial PDBeFold can may be accessed from multiple locations on the PDBe website. From the PDBe home page (http://pdbe.org/), there are two access points for the program as shown below. -
Pcor: a New Design of Plasmid Vectors for Nonviral Gene Therapy
Gene Therapy (1999) 6, 1482–1488 1999 Stockton Press All rights reserved 0969-7128/99 $12.00 http://www.stockton-press.co.uk/gt BRIEF COMMUNICATION pCOR: a new design of plasmid vectors for nonviral gene therapy F Soubrier, B Cameron, B Manse, S Somarriba, C Dubertret, G Jaslin, G Jung, C Le Caer, D Dang, JM Mouvault, D Scherman, JF Mayaux and J Crouzet Rhoˆne-Poulenc Rorer, Centre de Recherche de Vitry Alfortville, 13 Quai J Guesde, 94403 Vitry-sur-Seine, France A totally redesigned host/vector system with improved initiator protein, protein, encoded by the pir gene limiting properties in terms of safety has been developed. The its host range to bacterial strains that produce this trans- pCOR plasmids are narrow-host range plasmid vectors for acting protein; (2) the plasmid’s selectable marker is not an nonviral gene therapy. These plasmids contain a con- antibiotic resistance gene but a gene encoding a bacterial ditional origin of replication and must be propagated in a suppressor tRNA. Optimized E. coli hosts supporting specifically engineered E. coli host strain, greatly reducing pCOR replication and selection were constructed. High the potential for propagation in the environment or in yields of supercoiled pCOR monomers were obtained (100 treated patients. The pCOR backbone has several features mg/l) through fed-batch fermentation. pCOR vectors carry- that increase safety in terms of dissemination and selec- ing the luciferase reporter gene gave high levels of lucifer- tion: (1) the origin of replication requires a plasmid-specific ase activity when injected into murine skeletal muscle. Keywords: gene therapy; plasmid DNA; conditional replication; selection marker; multimer resolution Two different types of DNA vehicles, based criteria.4 These high copy number plasmids carry a mini- on recombinant viruses and bacterial DNA plasmids, are mal amount of bacterial sequences, a conditional origin used in gene therapy. -
NCBI Resources: from Sequence to Function Outline
NCBI Resources: from Sequence to Function Medha Bhagwat, NCBI Current Topics in Genome Analysis January 18, 2005 Outline About NCBI NCBI databases and tools The Entrez- search and retrieval system Training at NCBI 1 National Center for Biotechnology Information http://www.ncbi.nlm.nih.gov/ Created as a part of NLM in 1988 - To establish public databases GenBank and others - To perform research in computational biology - To develop software tools for sequence analysis - To disseminate biomedical information 2 3 NCBI Databases and Sequence Analysis Tools Entrez: Search and Retrieval System http://www.ncbi.nlm.nih.gov/Entrez/ 4 Nucleotide sequences Protein sequences Structures Taxonomy Genomes Expression Chemical Literature An Array of Sequence Analysis Tools http://www.ncbi.nlm.nih.gov/Tools/ Nucleotide sequence analysis Protein sequence analysis Genome analysis Structure Gene expression 5 GenBank Individual submissions Bulk submissions EST, GSS, HTGS, WGS Derived database RefSeq International Nucleotide Sequence Database Collaboration http://www.ncbi.nlm.nih.gov/Genbank/ 6 NCBI Databases Primary Derived Redundant Non-redundant Archival/repository Curated Submitter owner NCBI owner Sequenced Combined/edited Ex: GenBank Ex: RefSeq http://www.ncbi.nlm.nih.gov/RefSeq/ - best, comprehensive, non-redundant set of sequences - for genomic DNA, transcript (RNA), and protein - for major research organisms 2645 organisms - based on GenBank derived sequences - ongoing curation by NCBI staff and collaborators, with review status indicated on each record -
EMBL-EBI-Overview.Pdf
EMBL-EBI Overview EMBL-EBI Overview Welcome Welcome to the European Bioinformatics Institute (EMBL-EBI), a global hub for big data in biology. We promote scientific progress by providing freely available data to the life-science research community, and by conducting exceptional research in computational biology. At EMBL-EBI, we manage public life-science data on a very large scale, offering a rich resource of carefully curated information. We make our data, tools and infrastructure openly available to an increasingly data-driven scientific community, adjusting to the changing needs of our users, researchers, trainees and industry partners. This proactive approach allows us to deliver relevant, up-to-date data and tools to the millions of scientists who depend on our services. We are a founding member of ELIXIR, the European infrastructure for biological information, and are central to global efforts to exchange information, set standards, develop new methods and curate complex information. Our core databases are produced in collaboration with other world leaders including the National Center for Biotechnology Information in the US, the National Institute of Genetics in Japan, SIB Swiss Institute of Bioinformatics and the Wellcome Trust Sanger Institute in the UK. We are also a world leader in computational biology research, and are well integrated with experimental and computational groups on all EMBL sites. Our research programme is highly collaborative and interdisciplinary, regularly producing high-impact works on sequence and structural alignment, genome analysis, basic biological breakthroughs, algorithms and methods of widespread importance. EMBL-EBI is an international treaty organisation, and we serve the global scientific community. -
Human Genetics 1990–2009
Portfolio Review Human Genetics 1990–2009 June 2010 Acknowledgements The Wellcome Trust would like to thank the many people who generously gave up their time to participate in this review. The project was led by Liz Allen, Michael Dunn and Claire Vaughan. Key input and support was provided by Dave Carr, Kevin Dolby, Audrey Duncanson, Katherine Littler, Suzi Morris, Annie Sanderson and Jo Scott (landscaping analysis), and Lois Reynolds and Tilli Tansey (Wellcome Trust Expert Group). We also would like to thank David Lynn for his ongoing support to the review. The views expressed in this report are those of the Wellcome Trust project team – drawing on the evidence compiled during the review. We are indebted to the independent Expert Group, who were pivotal in providing the assessments of the Wellcome Trust’s role in supporting human genetics and have informed ‘our’ speculations for the future. Finally, we would like to thank Professor Francis Collins, who provided valuable input to the development of the timelines. The Wellcome Trust is a charity registered in England and Wales, no. 210183. Contents Acknowledgements 2 Overview and key findings 4 Landmarks in human genetics 6 1. Introduction and background 8 2. Human genetics research: the global research landscape 9 2.1 Human genetics publication output: 1989–2008 10 3. Looking back: the Wellcome Trust and human genetics 14 3.1 Building research capacity and infrastructure 14 3.1.1 Wellcome Trust Sanger Institute (WTSI) 15 3.1.2 Wellcome Trust Centre for Human Genetics 15 3.1.3 Collaborations, consortia and partnerships 16 3.1.4 Research resources and data 16 3.2 Advancing knowledge and making discoveries 17 3.3 Advancing knowledge and making discoveries: within the field of human genetics 18 3.4 Advancing knowledge and making discoveries: beyond the field of human genetics – ‘ripple’ effects 19 Case studies 22 4.