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Dive into the research topics where Bobby-Joe Breitkreutz is active.

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Nucleic Acids Research | 2007

The BioGRID Interaction Database: 2011 update

Chris Stark; Bobby-Joe Breitkreutz; Andrew Chatr-aryamontri; Lorrie Boucher; Rose Oughtred; Michael S. Livstone; Julie Nixon; Kimberly Van Auken; Xiaodong Wang; Xiaoqi Shi; Teresa Reguly; Jennifer M. Rust; Andrew Winter; Kara Dolinski; Mike Tyers

The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans (http://www.thebiogrid.org). BioGRID currently holds 347 966 interactions (170 162 genetic, 177 804 protein) curated from both high-throughput data sets and individual focused studies, as derived from over 23 000 publications in the primary literature. Complete coverage of the entire literature is maintained for budding yeast (Saccharomyces cerevisiae), fission yeast (Schizosaccharomyces pombe) and thale cress (Arabidopsis thaliana), and efforts to expand curation across multiple metazoan species are underway. The BioGRID houses 48 831 human protein interactions that have been curated from 10 247 publications. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. The BioGRID 3.0 web interface contains new search and display features that enable rapid queries across multiple data types and sources. An automated Interaction Management System (IMS) is used to prioritize, coordinate and track curation across international sites and projects. BioGRID provides interaction data to several model organism databases, resources such as Entrez-Gene and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including PSI MI XML. Source code for BioGRID 3.0 is freely available without any restrictions.


Nucleic Acids Research | 2006

BioGRID: a general repository for interaction datasets

Chris Stark; Bobby-Joe Breitkreutz; Teresa Reguly; Lorrie Boucher; Ashton Breitkreutz; Mike Tyers

Access to unified datasets of protein and genetic interactions is critical for interrogation of gene/protein function and analysis of global network properties. BioGRID is a freely accessible database of physical and genetic interactions available at . BioGRID release version 2.0 includes >116 000 interactions from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens. Over 30 000 interactions have recently been added from 5778 sources through exhaustive curation of the Saccharomyces cerevisiae primary literature. An internally hyper-linked web interface allows for rapid search and retrieval of interaction data. Full or user-defined datasets are freely downloadable as tab-delimited text files and PSI-MI XML. Pre-computed graphical layouts of interactions are available in a variety of file formats. User-customized graphs with embedded protein, gene and interaction attributes can be constructed with a visualization system called Osprey that is dynamically linked to the BioGRID.


Nucleic Acids Research | 2013

The BioGRID interaction database

Andrew Chatr-aryamontri; Bobby-Joe Breitkreutz; Sven Heinicke; Lorrie Boucher; Andrew Winter; Chris Stark; Julie Nixon; Lindsay Ramage; Nadine Kolas; Lara O'Donnell; Teresa Reguly; Ashton Breitkreutz; Adnane Sellam; Daici Chen; Christie S. Chang; Jennifer M. Rust; Michael S. Livstone; Rose Oughtred; Kara Dolinski; Mike Tyers

The Biological General Repository for Interaction Datasets (BioGRID: http//thebiogrid.org) is an open access archive of genetic and protein interactions that are curated from the primary biomedical literature for all major model organism species. As of September 2012, BioGRID houses more than 500 000 manually annotated interactions from more than 30 model organisms. BioGRID maintains complete curation coverage of the literature for the budding yeast Saccharomyces cerevisiae, the fission yeast Schizosaccharomyces pombe and the model plant Arabidopsis thaliana. A number of themed curation projects in areas of biomedical importance are also supported. BioGRID has established collaborations and/or shares data records for the annotation of interactions and phenotypes with most major model organism databases, including Saccharomyces Genome Database, PomBase, WormBase, FlyBase and The Arabidopsis Information Resource. BioGRID also actively engages with the text-mining community to benchmark and deploy automated tools to expedite curation workflows. BioGRID data are freely accessible through both a user-defined interactive interface and in batch downloads in a wide variety of formats, including PSI-MI2.5 and tab-delimited files. BioGRID records can also be interrogated and analyzed with a series of new bioinformatics tools, which include a post-translational modification viewer, a graphical viewer, a REST service and a Cytoscape plugin.


PLOS Biology | 2007

Still Stratus Not Altocumulus: Further Evidence against the Date/Party Hub Distinction

Nizar N Batada; Teresa Reguly; Ashton Breitkreutz; Lorrie Boucher; Bobby-Joe Breitkreutz; Laurence D. Hurst; Mike Tyers

Analysis of multi-validated protein interaction data reveals networks with greater interconnectivity than the more segregated structures seen in previously available data. To help visualize this, the authors draw comparisons between continuous stratus clouds and altocumulus clouds.


Genetics | 2006

The F-Box Protein Dia2 Overcomes Replication Impedance to Promote Genome Stability in Saccharomyces cerevisiae

Deborah Blake; Brian Luke; Pamela Kanellis; Paul Jorgensen; Theo Goh; Sonya Penfold; Bobby-Joe Breitkreutz; Daniel Durocher; Matthias Peter; Mike Tyers

The maintenance of DNA replication fork stability under conditions of DNA damage and at natural replication pause sites is essential for genome stability. Here, we describe a novel role for the F-box protein Dia2 in promoting genome stability in the budding yeast Saccharomyces cerevisiae. Like most other F-box proteins, Dia2 forms a Skp1-Cdc53/Cullin-F-box (SCF) E3 ubiquitin–ligase complex. Systematic analysis of genetic interactions between dia2Δ and ∼4400 viable gene deletion mutants revealed synthetic lethal/synthetic sick interactions with a broad spectrum of DNA replication, recombination, checkpoint, and chromatin-remodeling pathways. dia2Δ strains exhibit constitutive activation of the checkpoint kinase Rad53 and elevated counts of endogenous DNA repair foci and are unable to overcome MMS-induced replicative stress. Notably, dia2Δ strains display a high rate of gross chromosomal rearrangements (GCRs) that involve the rDNA locus and an increase in extrachromosomal rDNA circle (ERC) formation, consistent with an observed enrichment of Dia2 in the nucleolus. These results suggest that Dia2 is essential for stable passage of replication forks through regions of damaged DNA and natural fragile regions, particularly the replication fork barrier (RFB) of rDNA repeat loci. We propose that the SCFDia2 ubiquitin ligase serves to modify or degrade protein substrates that would otherwise impede the replication fork in problematic regions of the genome.


CSH Protocols | 2016

BioGRID: A Resource for Studying Biological Interactions in Yeast.

Rose Oughtred; Andrew Chatr-aryamontri; Bobby-Joe Breitkreutz; Christie S. Chang; Jennifer M. Rust; Chandra L. Theesfeld; Sven Heinicke; Ashton Breitkreutz; Daici Chen; Jodi E. Hirschman; Nadine Kolas; Michael S. Livstone; Julie Nixon; Lara O’Donnell; Lindsay Ramage; Andrew Winter; Teresa Reguly; Adnane Sellam; Chris Stark; Lorrie Boucher; Kara Dolinski; Mike Tyers

The Biological General Repository for Interaction Datasets (BioGRID) is a freely available public database that provides the biological and biomedical research communities with curated protein and genetic interaction data. Structured experimental evidence codes, an intuitive search interface, and visualization tools enable the discovery of individual gene, protein, or biological network function. BioGRID houses interaction data for the major model organism species--including yeast, nematode, fly, zebrafish, mouse, and human--with particular emphasis on the budding yeast Saccharomyces cerevisiae and the fission yeast Schizosaccharomyces pombe as pioneer eukaryotic models for network biology. BioGRID has achieved comprehensive curation coverage of the entire literature for these two major yeast models, which is actively maintained through monthly curation updates. As of September 2015, BioGRID houses approximately 335,400 biological interactions for budding yeast and approximately 67,800 interactions for fission yeast. BioGRID also supports an integrated posttranslational modification (PTM) viewer that incorporates more than 20,100 yeast phosphorylation sites curated through its sister database, the PhosphoGRID.


CSH Protocols | 2016

Use of the BioGRID Database for Analysis of Yeast Protein and Genetic Interactions

Rose Oughtred; Andrew Chatr-aryamontri; Bobby-Joe Breitkreutz; Christie S. Chang; Jennifer M. Rust; Chandra L. Theesfeld; Sven Heinicke; Ashton Breitkreutz; Daici Chen; Jodi E. Hirschman; Nadine Kolas; Michael S. Livstone; Julie Nixon; Lara O’Donnell; Lindsay Ramage; Andrew Winter; Teresa Reguly; Adnane Sellam; Chris Stark; Lorrie Boucher; Kara Dolinski; Mike Tyers

The BioGRID database is an extensive repository of curated genetic and protein interactions for the budding yeast Saccharomyces cerevisiae, the fission yeast Schizosaccharomyces pombe, and the yeast Candida albicans SC5314, as well as for several other model organisms and humans. This protocol describes how to use the BioGRID website to query genetic or protein interactions for any gene of interest, how to visualize the associated interactions using an embedded interactive network viewer, and how to download data files for either selected interactions or the entire BioGRID interaction data set.


Science | 2002

Systematic Identification of Pathways That Couple Cell Growth and Division in Yeast

Paul Jorgensen; Joy L. Nishikawa; Bobby-Joe Breitkreutz; Mike Tyers


PLOS Biology | 2006

Stratus not altocumulus: a new view of the yeast protein interaction network.

Nizar N Batada; Teresa Reguly; Ashton Breitkreutz; Lorrie Boucher; Bobby-Joe Breitkreutz; Laurence D. Hurst; Mike Tyers


Nature Precedings | 2011

The BioGRID Interaction Database

Michael S. Livstone; Bobby-Joe Breitkreutz; Chris Stark; Lorrie Boucher; Andrew Chatr-aryamontri; Rose Oughtred; Julie Nixon; Teresa Reguly; Jennifer M. Rust; Andrew Winter; Kara Dolinski; Mike Tyers

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Mike Tyers

Université de Montréal

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Julie Nixon

University of Edinburgh

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