9 results on '"Alix J. Rey"'
Search Results
2. FlyBase: establishing a Gene Group resource for Drosophila melanogaster.
- Author
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Helen Attrill, Kathleen Falls, Joshua L. Goodman, Gillian H. Millburn, Giulia Antonazzo, Alix J. Rey, and Steven J. Marygold
- Published
- 2016
- Full Text
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3. Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase.
- Author
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Phani V. Garapati, Jingyao Zhang, Alix J. Rey, and Steven J. Marygold
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- 2019
- Full Text
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4. FlyBase: establishing a Gene Group resource for Drosophila melanogaster
- Author
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Alix J. Rey, Giulia Antonazzo, Gillian Millburn, Joshua L. Goodman, Steven J Marygold, Kathleen Falls, and Helen Attrill
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0301 basic medicine ,Genetics ,Phylogenetic tree ,Genes, Insect ,Computational biology ,Biology ,biology.organism_classification ,03 medical and health sciences ,030104 developmental biology ,Drosophila melanogaster ,Databases, Genetic ,Melanogaster ,Gene family ,Database Issue ,Animals ,Drosophila Proteins ,FlyBase : A Database of Drosophila Genes & Genomes ,Drosophila ,Gene ,Drosophila Protein - Abstract
Many publications describe sets of genes or gene products that share a common biology. For example, genome-wide studies and phylogenetic analyses identify genes related in sequence; high-throughput genetic and molecular screens reveal functionally related gene products; and advanced proteomic methods can determine the subunit composition of multi-protein complexes. It is useful for such gene collections to be presented as discrete lists within the appropriate Model Organism Database (MOD) so that researchers can readily access these data alongside other relevant information. To this end, FlyBase (flybase.org), the MOD for Drosophila melanogaster, has established a 'Gene Group' resource: high-quality sets of genes derived from the published literature and organized into individual report pages. To facilitate further analyses, Gene Group Reports also include convenient download and analysis options, together with links to equivalent gene groups at other databases. This new resource will enable researchers with diverse backgrounds and interests to easily view and analyse acknowledged D. melanogaster gene sets and compare them with those of other species.
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- 2015
5. The Gene Ontology Resource: 20 years and still GOing strong
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Rebecca Tauber, Robert J. Dodson, Marek S. Skrzypek, Raymond Lee, Valerie Wood, Paul W. Sternberg, C. Rivoire, Nancy H. Campbell, E. Hatton-Ellis, M. Rodriguez-Lopez, Elena Speretta, D. S. Osumi, Alix J. Rey, A. Mac-Dougall, Jane E. Mendel, Christopher J. Mungall, Helen Parkinson, Maria Jesus Martin, Pascale Gaudet, A. Stutz, Nathan Dunn, Gillian Millburn, Kate Warner, K. Axelsen, C. Arighi, Mary E. Dolan, M. J. Kesling, Barbara Kramarz, Seth Carbon, Joshua L. Goodman, Rachael P. Huntley, Anjali Shrivastava, Daniela Raciti, C. Wu, Victor B. Strelets, Steven J Marygold, H. Drabkin, M. Magrane, Benjamin M. Good, A. Shrivatsav Vp, Lorna Richardson, James P. Balhoff, P. Lemercier, E. Bakker, Amaia Sangrador-Vegas, Marc Feuermann, Paul Thomas, D. Lieberherr, J. Cho, Hans-Michael Müller, Robert S. Nash, Leonore Reiser, Birgit H M Meldal, Neil D. Rawlings, N. N. Hyka, D. A. Natale, Paola Roncaglia, Paul Denny, Michelle G. Giglio, Judith A. Blake, S. Sundaram, Shankar Subramaniam, Marcus C. Chibucos, Kevin A. MacPherson, S. Poux, Karen R. Christie, Mary Shimoyama, Eva Huala, Colin Logie, Huaiyu Mi, Felix Gondwe, K. Pichler, Petra Fey, Deborah A. Siegele, Phani V. Garapati, N. Tyagi, J L De Pons, Alex Bateman, Melinda R. Dwinell, Pablo Porras, Giulia Antonazzo, Midori A. Harris, Y. Lussi, Stuart R. Miyasato, Li Ni, K. Laiho, A. Estreicher, Travis K. Sheppard, Edith D. Wong, M. C. Harrison, H. Chen, S. Basu, Sandra A. LaBonte, Margaret Duesbury, E. Hartline, Sibyl Gao, Vítor Trovisco, Jacqueline Hayles, George Georghiou, Rex L. Chisholm, Kathleen Falls, S. Poudel, James C. Hu, G. T. Hayman, Kim Rutherford, F. Jungo, Hsin-Yu Chang, E. Boutet, Robert D. Finn, Alex L. Mitchell, Stan Laulederkind, J. H. Rawson, Marek Tutaj, Vanessa Acquaah, Peter D'Eustachio, G. Keller, L. Breuza, P. Garmiri, Nicholas H. Brown, Laurent-Philippe Albou, Antonia Lock, Nomi L. Harris, U. Hinz, Matthew Berriman, R. Britto, Rossana Zaru, Suzanna E. Lewis, N. Gruaz-Gumowski, Livia Perfetto, Matt Simison, Martin Kuiper, Shuai Weng, M. Tognolli, G. Dos Santos, Elizabeth R Bolton, Xiaosong Huang, A. Gos, P. Masson, David B. Emmert, Lisa Matthews, C. Casals-Casas, Kevin L. Howe, N. T. Del, Sandra Orchard, L. Famiglietti, Doug Howe, T. Sawford, T. E.M. Jones, Stephen G. Oliver, Kalpana Karra, S. Fexova, Tremayne Mushayahama, Dustin Ebert, Jim Thurmond, Ruth C. Lovering, E. Coudert, A. Bridge, Suzi Aleksander, Suvarna Nadendla, Christian A. Grove, David P. Hill, J. M. Cherry, M. C. Blatter, K. Van Auken, H. Bye-A-Jee, B. L. Dunn, A. Lreid, Sabrina Toro, Monte Westerfield, Z. Xie, A. Auchincloss, I. Pedruzzi, Anushya Muruganujan, B. Bely, S. H. Ahmad, Stacia R. Engel, Shur-Jen Wang, Gail Binkley, Lincoln Stein, Pinglei Zhou, G. P. Argoud, Marcio Luis Acencio, C. Hulo, Jürg Bähler, Juancarlos Chan, P. C. Ng, Helen Attrill, Mélanie Courtot, A. Ignatchenko, Tanya Z. Berardini, D. Sitnikov, Eric Douglass, and A. Shypitsyna
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Quality Control ,media_common.quotation_subject ,Ontology (information science) ,Biology ,History, 21st Century ,Filter (software) ,Unique identifier ,World Wide Web ,03 medical and health sciences ,0302 clinical medicine ,Resource (project management) ,Web page ,Genetics ,Animals ,Humans ,Database Issue ,Quality (business) ,Function (engineering) ,Molecular Biology ,030304 developmental biology ,media_common ,0303 health sciences ,Focus (computing) ,Bacteria ,Eukaryota ,Molecular Sequence Annotation ,History, 20th Century ,High-Throughput Screening Assays ,Gene Ontology ,Mitogen-Activated Protein Kinases ,030217 neurology & neurosurgery - Abstract
The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under continual improvement, both in quantity and in quality. Here, we report the major developments of the GO resource during the past two years. Each monthly release of the GO resource is now packaged and given a unique identifier (DOI), enabling GO-based analyses on a specific release to be reproduced in the future. The molecular function ontology has been refactored to better represent the overall activities of gene products, with a focus on transcription regulator activities. Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations. New evidence codes for high-throughput experiments now enable users to filter out annotations obtained from these sources. GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models. We also provide the ‘GO ribbon’ widget for visualizing GO annotations to a gene; the widget can be easily embedded in any web page. This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Published
- 2018
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6. Using FlyBase to Find Functionally Related Drosophila Genes
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Steven J Marygold, Alix J. Rey, and Helen Attrill
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0301 basic medicine ,Informatics ,Protein domain ,Genome, Insect ,Genes, Insect ,Computational biology ,Web Browser ,Genome ,Article ,03 medical and health sciences ,User-Computer Interface ,Databases, Genetic ,Melanogaster ,Animals ,FlyBase : A Database of Drosophila Genes & Genomes ,Drosophila ,Gene ,030102 biochemistry & molecular biology ,biology ,Online database ,Genomics ,biology.organism_classification ,Search Engine ,030104 developmental biology ,Gene Ontology ,Proteome ,Software - Abstract
For more than 25 years, FlyBase ( flybase.org ) has served as an online database of biological information on the genus Drosophila, concentrating on the model organism D. melanogaster. Traditionally, FlyBase data have been organized and presented at a gene-by-gene level, which remains a useful perspective when the object of interest is a specific gene or gene product. However, in the modern era of a fully sequenced genome and an increasingly characterized proteome, it is often desirable to compile and analyze lists of genes related by a common function. This may be achieved in FlyBase by searching for genes annotated with relevant Gene Ontology (GO) terms and/or protein domain data. In addition, FlyBase provides preassembled lists of functionally related D. melanogaster genes within "Gene Group" reports. These are compiled manually from the published literature or expert databases and greatly facilitate access to, and analysis of, established gene sets. This chapter describes protocols to produce lists of functionally related genes in FlyBase using GO annotations, protein domain data and the Gene Groups resource, and provides guidance and advice for their further analysis and processing.
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- 2018
7. Ubiquitin-H2AX fusions render 53BP1 recruitment to DNA damage sites independent of RNF8 or RNF168
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Grant S. Stewart, Alix J. Rey, Thanos D. Halazonetis, and Maciej K. Kocylowski
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RNF168 ,DNA damage ,Recombinant Fusion Proteins ,Ubiquitin-Protein Ligases ,cells ,Immunoblotting ,Fluorescent Antibody Technique ,Biology ,Models, Biological ,Cell Line ,RNF8 ,Histones ,03 medical and health sciences ,chemistry.chemical_compound ,Gene Knockout Techniques ,0302 clinical medicine ,Ubiquitin ,Report ,Histone H2A ,Rosaniline Dyes ,Nucleosome ,Humans ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Histone ubiquitination ,Intracellular Signaling Peptides and Proteins ,Cell Biology ,Molecular biology ,53BP1 ,Chromatin ,DNA-Binding Proteins ,enzymes and coenzymes (carbohydrates) ,Histone ,chemistry ,030220 oncology & carcinogenesis ,biology.protein ,chromatin ,biological phenomena, cell phenomena, and immunity ,Tumor Suppressor p53-Binding Protein 1 ,DNA ,Developmental Biology ,DNA Damage - Abstract
The mammalian E3 ubiquitin ligases RNF8 and RNF168 facilitate recruitment of the DNA damage response protein 53BP1 to sites of DNA double-strand breaks (DSBs). The mechanism involves recruitment of RNF8, followed by recruitment of RNF168, which ubiquitinates histones H2A/H2AX on K15. 53BP1 then binds to nucleosomes at sites of DNA DSBs by recognizing, in addition to methyl marks, histone H2A/H2AX ubiquitinated on K15. We report here that expressing H2AX fusion proteins with N-terminal bulky moieties can rescue 53BP1 recruitment to sites of DNA DSBs in cells lacking RNF8 or RNF168 or in cells treated with proteasome inhibitors, in which histone ubiquitination at sites of DNA DSBs is compromised. The rescue required S139 at the C-terminus of the H2AX fusion protein and was occasionally accompanied by partial rescue of ubiquitination at sites of DNA DSBs. We conclude that recruitment of 53BP1 to sites of DNA DSBs is possible in the absence of RNF8 or RNF168, but still dependent on chromatin ubiquitination.
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- 2015
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8. Exploring FlyBase Data Using QuickSearch
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Steven J Marygold, Beverley B. Matthews, Madeline A. Crosby, Jim Thurmond, Gilberto dos Santos, Marta Costa, L. Sian Gramates, Giulia Antonazzo, Alix J. Rey, Helen Attrill, and Joshua L. Goodman
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0301 basic medicine ,Focus (computing) ,Genome ,Computer science ,Online database ,Biological database ,Genomics ,Biochemistry ,Article ,World Wide Web ,03 medical and health sciences ,Annotation ,Drosophila melanogaster ,030104 developmental biology ,0302 clinical medicine ,Data access ,Structural Biology ,Databases, Genetic ,Animals ,FlyBase : A Database of Drosophila Genes & Genomes ,030217 neurology & neurosurgery - Abstract
FlyBase (flybase.org) is the primary online database of genetic, genomic, and functional information about Drosophila species, with a major focus on the model organism Drosophila melanogaster. The long and rich history of Drosophila research, combined with recent surges in genomic-scale and high-throughput technologies, mean that FlyBase now houses a huge quantity of data. Researchers need to be able to rapidly and intuitively query these data, and the QuickSearch tool has been designed to meet these needs. This tool is conveniently located on the FlyBase homepage and is organized into a series of simple tabbed interfaces that cover the major data and annotation classes within the database. This unit describes the functionality of all aspects of the QuickSearch tool. With this knowledge, FlyBase users will be equipped to take full advantage of all QuickSearch features and thereby gain improved access to data relevant to their research. © 2016 by John Wiley & Sons, Inc.
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- 2016
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9. Ubiquitin-H2AX fusions render 53BP1 recruitment to DNA damage sites independent of RNF8 or RNF168
- Author
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Maciej K Kocyłowski, Alix J Rey, Grant S Stewart, Thanos D Halazonetis, Maciej K Kocyłowski, Alix J Rey, Grant S Stewart, and Thanos D Halazonetis
- Published
- 2015
- Full Text
- View/download PDF
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