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ArrayExpress


NAR Molecular Biology Database Collection entry number 338
Kolesnikov, Nikolay; Hastings, Emma; Keays, Maria; Melnichuk, Olga; Tang, Amy; Williams, Eleanor; Dylag, Miroslaw; Kurbatova, Natalja; Brandizi, Marco; Burdett, Tony; Megy, Karyn; Pilicheva, Ekaterina; Rustici, Gabriella; Tikhonov, Andrew; Parkinson, Helen; Petryszak, Robert; Sarkans, Ugis; Brazma, Alvis
European Bioinformatics Institute, EMBL-EBI Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK

Database Description

ArrayExpress is a public repository for microarray based gene expression data, which implements the Minimum Information About a Microarray Experiment (MIAME) - a microarray data annotation standard [1], the Microarray Gene Expression Markup Language (MAGE-ML) [2] by the Microarray Gene Expression Data (MGED) society (http://www.mged.org) and Object Management Group (OMG, http://www.omg.org). ArrayExpress has three major goals: (i) to serve the scientific community as a repository for data that support publications, (ii) to provide the community with easy access to high quality gene expression data in a standard format, and (iii) to facilitate the sharing of microarray designs and experimental protocols. ArrayExpress accepts three types of submissions: arrays, experiments, and protocols (including experimental and data processing protocols). Each of these can be submitted separately and is assigned a unique accession number. This can later be used as a reference, either within the database or externally. A journal publication may use ArrayExpress accession numbers to refer their supporting data. There are two data submission routes to ArrayExpress: (i) directly via MAGE-ML files, or (ii) via a web-based submission interface, MIAMExpress. As generation of MAGE-ML format data requires both a local Laboratory Information Management System (LIMS) and informatics support, this route is best suited for projects that have the necessary infrastructure. Currently a MIAME compliant MAGE-ML based pipeline has been established with the Wellcome Trust Sanger Institute. Other similar pipelines, including ones from TIGR, Affymetrix, BASE, J-Express, and NCI, are under testing or construction. MIAMExpress is a web-based tool, which allows users to annotate the submission either during, or upon the completion of the experiment. The current MIAMExpress Version 1.0 is a generic annotation tool, suitable for annotation of any microarray gene expression experiment, irrespective of organism or type. To use MIAMExpress users need only an internet browser. The user creates an account and is presented with a series of web forms, which include a combination of drop-down fields (with appropriate controlled vocabularies) and free format text fields, to annotate the experiment. Tab-delimited data files are uploaded from the user’s local computer and linked to the experiment submission. Arrays and protocols can also be submitted via MIAMExpress and can be linked to multiple experiments. Help is available from the curation team throughout the submission and contextual help is provided within the interface. Throughout the submission process the data are stored in a submission database and are subsequently curated and then exported to ArrayExpress. ArrayExpress has been accepting data submissions since February 2002. With an increasing number of microarray vendors and laboratories adopting the MAGE-ML and MIAME standards, the volume of submissions to ArrayExpress is growing rapidly. Data access and retrieval is performed through a dedicated web interface allowing case insensitive searches on fields such as Experiment, Species, Author, Organization, Array or Accession numbers. Relevant results may hence be exported to Expression-Profiler, the EBI web based expression analysis tool [3]. Finally as MAGE-ML standard spreads throughout the microarray community, ArrayExpress aims at becoming a corner stone of microarray data exchange and mining.

References

  1. Brazma,A., Hingamp,P., Quackenbush,J., Sherlock,G., Spellman,P., Stoeckert,C., Aach,J., Ansorge,W., Ball,C.A., Causton,H.C., Gaasterland,T., Glenisson,P., Holstege,F.C.P., Kim,I.F., Markowitz,V., Matese,J.C., Parkinson,H., Robinson,A., Sarkans,U., Schulze-Kremer,S., Stewart,J., Taylor,R., Vilo,J. and Vingron,M. (2001) Minimum information about a microarray experiment (MIAME)—toward standards for microarray data. Nature Genetics, 29, 365-371.
  2. Spellman,P.T., Miller,M., Stewart,J., Troup,C., Sarkans,U., Chervitz,S., Bernhart,D., Sherlock,G., Ball,C., Lepage,M., Swiatek,M., Marks,W.L., Goncalves,J., Markel,S., Iordan,D., Shojatalab,M., Pizarro,A., White,J., Hubley,R., Deutsch,E., Senger,M., Aronow,B.J., Robinson,A., Bassett,D., Stoeckert Jr,C.J. and Brazma,A. (2002) Design and implementation of microarray gene expression markup language (MAGE-ML). Genome Biology, 3(9), research0046.1-0046.9.
  3. Vilo,J., Kapushesky,M., Kemmeren,P., Sarkans,U. and Brazma,A. (expected 2003) Expression Profiler. In Parmigiani,G., Garrett,E.S., Irizarry,R. and Zeger,S.L. (eds.), The analysis of gene expression data: methods and software, in press, Springer-Verlag.
  4. Edgar,R., Domrachev,M. and Lash,A. (2002) Gene Expression Omnibus: NCBI gene expression and hybridisation array data repository. Nucleic Acids Res., 30(1), 207-210.
  5. Robinson,D.E., Pettit,S.D. and Morgan,D.G. (2002) Use of Genomics in Mechanism Based Risk Assessment. In Inoue,T., Pennie,W.D. (eds.), Toxicogenomics, Springer-Verlag, Tokyo, pp.194-203.
  6. Knight,J. (2001) Cancer comes under scrutiny in fresh genomics initiative. Nature, 4(10), 855.


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