Literature DB >> 12620108

The GRID: the General Repository for Interaction Datasets.

Bobby-Joe Breitkreutz1, Chris Stark, Mike Tyers.   

Abstract

We have developed a relational database, called the General Repository for Interaction Datasets (The GRID) to archive and display physical, genetic and functional interactions. The GRID displays data-rich interaction tables for any protein of interest, combines literature-derived and high-throughput interaction datasets, and is readily accessible via the web. Interactions parsed in The GRID can be viewed in graphical form with a versatile visualization tool called Osprey.

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Year:  2003        PMID: 12620108      PMCID: PMC153463          DOI: 10.1186/gb-2003-4-3-r23

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


Rationale

Physical, genetic and functional interactions between biological molecules are being discovered at an ever-increasing rate through proteomic and functional genomic approaches [1]. As a result, large-scale datasets containing many thousands of interactions have been deposited in publicly available databases. However, none of the extant datasets is systematically linked, and most data are presented only in a rudimentary format. Thus, data analysis is often tedious and incomplete. To alleviate this bottleneck, we developed a generic interaction database called The GRID [2], which can be used to collate and display interactions from any data source.

Software platform

The GRID uses MySQL version 3.23 as its underlying database [3], which is freely available from the MySQL homepage. The web-based user interface is implemented with Java Servlet technology, and the Java SDK version 1.4.0_02 [4]. These tools provide a facile interface for parsing interactions. Graphical representation of user defined interaction networks is achieved with a new visualization tool called Osprey [5], which can be used to construct elaborate interaction networks from any set of interactions in the database.

Data structure

The GRID is built on a master look-up table of all primary and secondary Saccharomyces cerevisiae gene names and corresponding open reading frame (ORF) names. Valid name lists are compiled via the open file transfer protocol (FTP) provided by the Saccharomyces Genome Database (SGD) [6]. Currently, The GRID recognizes 6,355 unique ORFs. Each gene entry in the GRID is presented in a data-rich tabular format that includes a description of gene function, Gene Ontology (GO) annotation [7], experimental system(s) on which associated interactions are based, the source of interaction data and publication links. Each row in the table represents a unique interaction, which is further divided into additional subsections corresponding to each experimental system in which the interaction is reported. Defined physical and genetic experimental systems currently include: affinity precipitation, affinity chromatography, two-hybrid, purified complex, reconstituted complex, biochemical assay, synthetic lethality, synthetic rescue, dosage lethality, dosage suppression, chemical lethality and chemical rescue. Additional systems may be added as needed.

Datasets

The GRID is periodically updated to contain all published large-scale interaction datasets, as well as available curated interactions from the primary literature. At present The GRID contains a total of 13,830 unique interactions and 21,839 total interactions, including most interactions deposited in BIND [8] and MIPS [9], as well as large-scale protein interaction datasets generated by Uetz et al. [10], Ito et al. [11,12], Gavin et al. [13] and Ho et al. [14] and a synthetic lethal interaction dataset produced by Tong et al. [15]. An upload interactions option allows new interactions to be added from a tab-delimited text file that contains the interaction pair, the experimental system and the data source. The GRID only accepts new interactions, so redundant interactions are excluded during the upload process. Details for upload format are provided at The GRID website.

Searches

Any valid gene or ORF name can be searched for to yield a comprehensive list of known interactions and associated annotations in tabular format (Figure 1). The search result table provides direct links for recursive searches, PubMed citations and data-rich graphical visualization with Osprey. In addition to standard keyword searches, an advanced search option allows keywords to be combined with Boolean operators to expand or reduce the number of recovered interactions. Results from advanced searches can be displayed using Osprey or saved as a tab-delimited text file.
Figure 1

Search result page from The GRID. Multiple experimental systems and sources are indicated.

Access and software requirements

All relevant information on The GRID can be retrieved from The GRID website [2]. The GRID runs with the most recent versions of popular web browsers on all major platforms. An online version of the Osprey network visualization system is available as an add-on to The GRID that is automatically launched from a link on The GRID search result page. The Osprey add-on requires version 1.4.0_02 of the Java plug-in [4]. A full-featured application version of Osprey is available for non-profit use at [5] (see accompanying software article).

Private versions

Individual laboratories at not-for-profit institutions may request a private version of The GRID that can be easily customized to allow storage and manipulation of unpublished datasets, including integration and comparison with all publicly available interactions. The GRID is designed to work with any set of interactions, including those derived from other model organisms, combinations of organism systems and even social or commercial networks for which interaction data are available. For more information about hosting a private version of The GRID, please contact the authors.
  9 in total

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Journal:  Cell       Date:  2001-02-09       Impact factor: 41.582

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Authors:  T Ito; K Tashiro; S Muta; R Ozawa; T Chiba; M Nishizawa; K Yamamoto; S Kuhara; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

4.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

5.  Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.

Authors:  Yuen Ho; Albrecht Gruhler; Adrian Heilbut; Gary D Bader; Lynda Moore; Sally-Lin Adams; Anna Millar; Paul Taylor; Keiryn Bennett; Kelly Boutilier; Lingyun Yang; Cheryl Wolting; Ian Donaldson; Søren Schandorff; Juanita Shewnarane; Mai Vo; Joanne Taggart; Marilyn Goudreault; Brenda Muskat; Cris Alfarano; Danielle Dewar; Zhen Lin; Katerina Michalickova; Andrew R Willems; Holly Sassi; Peter A Nielsen; Karina J Rasmussen; Jens R Andersen; Lene E Johansen; Lykke H Hansen; Hans Jespersen; Alexandre Podtelejnikov; Eva Nielsen; Janne Crawford; Vibeke Poulsen; Birgitte D Sørensen; Jesper Matthiesen; Ronald C Hendrickson; Frank Gleeson; Tony Pawson; Michael F Moran; Daniel Durocher; Matthias Mann; Christopher W V Hogue; Daniel Figeys; Mike Tyers
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

6.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

7.  BIND--a data specification for storing and describing biomolecular interactions, molecular complexes and pathways.

Authors:  G D Bader; C W Hogue
Journal:  Bioinformatics       Date:  2000-05       Impact factor: 6.937

8.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

Authors:  A H Tong; M Evangelista; A B Parsons; H Xu; G D Bader; N Pagé; M Robinson; S Raghibizadeh; C W Hogue; H Bussey; B Andrews; M Tyers; C Boone
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

9.  A comprehensive two-hybrid analysis to explore the yeast protein interactome.

Authors:  T Ito; T Chiba; R Ozawa; M Yoshida; M Hattori; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

  9 in total
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1.  Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution.

Authors:  Dmitri M Krylov; Yuri I Wolf; Igor B Rogozin; Eugene V Koonin
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

Review 2.  Charting gene regulatory networks: strategies, challenges and perspectives.

Authors:  Gong-Hong Wei; De-Pei Liu; Chih-Chuan Liang
Journal:  Biochem J       Date:  2004-07-01       Impact factor: 3.857

Review 3.  Computational tools for prioritizing candidate genes: boosting disease gene discovery.

Authors:  Yves Moreau; Léon-Charles Tranchevent
Journal:  Nat Rev Genet       Date:  2012-07-03       Impact factor: 53.242

4.  Functional analysis of gene duplications in Saccharomyces cerevisiae.

Authors:  Yuanfang Guan; Maitreya J Dunham; Olga G Troyanskaya
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

5.  Accelerated evolutionary rate may be responsible for the emergence of lineage-specific genes in ascomycota.

Authors:  James J Cai; Patrick C Y Woo; Susanna K P Lau; David K Smith; Kwok-Yung Yuen
Journal:  J Mol Evol       Date:  2006-06-03       Impact factor: 2.395

6.  A novel pathway that coordinates mitotic exit with spindle position.

Authors:  Scott A Nelson; John A Cooper
Journal:  Mol Biol Cell       Date:  2007-07-05       Impact factor: 4.138

7.  Preferential protection of protein interaction network hubs in yeast: evolved functionality of genetic redundancy.

Authors:  Ran Kafri; Orna Dahan; Jonathan Levy; Yitzhak Pilpel
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-23       Impact factor: 11.205

8.  RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS.

Authors:  Ricardo Silva; Katherine Heller; Zoubin Ghahramani; Edoardo M Airoldi
Journal:  Ann Appl Stat       Date:  2010-08-03       Impact factor: 2.083

9.  GermOnline, a cross-species community knowledgebase on germ cell differentiation.

Authors:  C Wiederkehr; R Basavaraj; C Sarrauste de Menthière; L Hermida; R Koch; U Schlecht; A Amon; S Brachat; M Breitenbach; P Briza; S Caburet; M Cherry; R Davis; A Deutschbauer; H G Dickinson; T Dumitrescu; M Fellous; A Goldman; J A Grootegoed; R Hawley; R Ishii; B Jégou; R J Kaufman; F Klein; N Lamb; B Maro; K Nasmyth; A Nicolas; T Orr-Weaver; P Philippsen; C Pineau; K P Rabitsch; V Reinke; H Roest; W Saunders; M Schröder; T Schedl; M Siep; A Villeneuve; D J Wolgemuth; M Yamamoto; D Zickler; R E Esposito; M Primig
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

10.  The GTPase-activating enzyme Gyp1p is required for recycling of internalized membrane material by inactivation of the Rab/Ypt GTPase Ypt1p.

Authors:  Céline Lafourcade; Jean-Marc Galan; Yvonne Gloor; Rosine Haguenauer-Tsapis; Matthias Peter
Journal:  Mol Cell Biol       Date:  2004-05       Impact factor: 4.272

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