Literature DB >> 15340489

Submission of microarray data to public repositories.

Catherine A Ball1, Alvis Brazma, Helen Causton, Steve Chervitz, Ron Edgar, Pascal Hingamp, John C Matese, Helen Parkinson, John Quackenbush, Martin Ringwald, Susanna-Assunta Sansone, Gavin Sherlock, Paul Spellman, Chris Stoeckert, Yoshio Tateno, Ronald Taylor, Joseph White, Neil Winegarden.   

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Year:  2004        PMID: 15340489      PMCID: PMC514887          DOI: 10.1371/journal.pbio.0020317

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


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A fundamental principle guiding the publication of scientific results is that the data supporting any scholarly work must be made fully available to the research community, in a form that allows the basic conclusions to be evaluated independently. In the context of molecular biology, this has typically meant that authors of a paper describing a newly sequenced genome, gene, or protein must deposit the primary data in a permanent, public data repository, such as the sequence databases maintained by the DNA Data Bank of Japan (DDBJ), European Bioinformatics Institute (EBI), and National Center for Biotechnology Information (NCBI). Similarly, we, members of the Microarray Gene Expression Data Society (MGED; http://www.mged.org), believe that all scholarly scientific journals should now require the submission of microarray data to public repositories as part of the process of publication. While some journals have already made this a condition of acceptance, we feel that submission requirements should be applied consistently and that journals should recognize ArrayExpress (Brazma et. al. 2003), Gene Expression Omnibus (GEO) (Edgar et. al 2002), and the Center for Information Biology Gene Expression Database (CIBEX) (Ikeo et. al. 2003) as acceptable public repositories. To this end, the members of MGED propose the following as a new paradigm for the publication of microarray-based studies. (1) Authors should continue to take primary responsibility for ensuring that all data collected and analyzed in their experiments adhere to the “Minimum Information about a Microarray Experiment” (MIAME) guidelines and should continue to use the MIAME checklist (www.mged.org/Workgroups/MIAME/miame_checklist.html) as a means of achieving this goal. (2) Scientific journals should require that all primary microarray data are submitted to one of the public repositories—ArrayExpress, GEO, or CIBEX—in a format that complies with the MIAME guidelines. (3) Public databases should work with authors and scientific journals to establish data submission and release protocols to assure compliance with MIAME guidelines. (4) To assist with the review process, the databases should continue to work in collaboration with publishers to provide qualified referees with secure means of accessing prepublication data. Authors should be strongly encouraged to submit data to the databases during review. Naturally, data should be protected from general release prior to either publication or authorization from the data submitters, whichever comes first. At a minimum, journals should require valid accession numbers for microarray data as a requirement for publication, and these accession numbers should be included in the text of the manuscript to allow members of the community to find and access the underlying data. Since its inception in 1999, MGED has been working with the broader scientific community to establish standards for the exchange and annotation of microarray data. In December 2001, we proposed the MIAME guidelines (Brazma et al. 2001) and requested that interested parties provide feedback on its relevance and utility. The feedback from both researchers and scientific journals was overwhelmingly positive, yet almost everyone who responded also asked for help in implementing these guidelines. Subsequently, in the summer of 2002, we submitted an open letter to various journals (e.g., Ball et al. 2002a, 2002b) urging the community to adopt the MIAME requirements for microarray data publication. We provided a checklist so that authors could ensure that sufficient information to allow their data to be re-analyzed by others would be available. Again, the response from the community was extremely positive, and most of the major scientific journals now require publications describing microarray experiments to comply with the MIAME standards. While the adoption of these standards has greatly improved the accessibility of microarray data, much of it remains on individual authors' websites in a variety of formats; consequently, obtaining and comparing datasets remains a significant challenge. Clearly we need additional requirements for publication that include submission of expression data to public data repositories. Though one might ask why this requirement was not part of the original MIAME recommendation, the answer is quite simple—MIAME was ahead of its time. While NCBI and the EBI had developed nascent microarray data repositories, and work was underway to create a similar database at the DDBJ, submitting data to these databases was a considerable burden for authors. However, since that time, improvements in the data-entry utilities available for GEO (www.ncbi.nlm.nih.gov/geo), ArrayExpress (www.ebi.ac.uk/arrayexpress), and CIBEX (cibex.nig.ac.jp), as well as a growing number of commercial and academic software packages capable of writing MAGE-ML documents (Spellman et al. 2002) that can be directly submitted to these public databases, have lowered the barriers for data submission to the point where we as a community must now reconsider that submission to one of these databases be a requirement. Requiring authors to submit microarray data to a public database will provide a number of distinct advantages to the entire research community. (1) These established repositories have a commitment to continued community service and to providing some level of assurance that published gene expression datasets will continue to be available into the future. (2) Having the data available in these public repositories in a standardized format will not only make them more accessible, but it will allow expression data to be integrated with other relevant data, including the available genome sequences, single nucleotide polymorphism and haplotype mapping information, the literature, and other resources that can aid in further interpretation of expression patterns. Although many authors now provide some or all of this information, the established databases are much more likely to assure that these links are maintained and current. (3) Curation of data submitted to public data repositories will assist authors, reviewers, and publishers in assuring that the data comply with the MIAME requirements, further enhancing their utility. (4) The standardization of microarray data formats will enable the development of additional data analysis and integration tools and makes it easier for scientists to access, query, and share data. (5) Finally, submission prior to publication will make it easier for referees to access the data confidentially, facilitating the review and publication process. In the same way that availability of sequence data had a profound impact on a wide range of disciplines, we believe that requiring that microarray data be deposited in public repositories as a necessity for publication will accelerate the rate of scientific discovery. What this proposal requires is a change in the way in which we approach the publication of microarray-based studies. Both authors and journals have a responsibility to assure that the requisite data are available, and because submitting MIAME-compliant data can take considerable time and effort, this process should be factored into review and publication timelines. However, while this process may be time consuming and painful at first, we believe that the benefits of building an open repository of microarray data will far outweigh any initial disadvantages. As always, it is our sincere hope that these suggestions stimulate discussion within the community and that together we can arrive at a consensus that ensures that microarray data are widely and easily accessible. Finally we would like to urge the DDBJ, EBI, and NCBI to work together towards exchanging all MIAME-compliant microarray data.
  7 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 3.  The underlying principles of scientific publication.

Authors:  Catherine A Ball; Gavin Sherlock; Helen Parkinson; Philippe Rocca-Sera; Catherine Brooksbank; Helen C Causton; Duccio Cavalieri; Terry Gaasterland; Pascal Hingamp; Frank Holstege; Martin Ringwald; Paul Spellman; Christian J Stoeckert; Jason E Stewart; Ronald Taylor; Alvis Brazma; John Quackenbush
Journal:  Bioinformatics       Date:  2002-11       Impact factor: 6.937

4.  Standards for microarray data.

Authors:  Catherine A Ball; Gavin Sherlock; Helen Parkinson; Philippe Rocca-Sera; Catherine Brooksbank; Helen C Causton; Duccio Cavalieri; Terry Gaasterland; Pascal Hingamp; Frank Holstege; Martin Ringwald; Paul Spellman; Christian J Stoeckert; Jason E Stewart; Ronald Taylor; Alvis Brazma; John Quackenbush
Journal:  Science       Date:  2002-10-18       Impact factor: 47.728

5.  CIBEX: center for information biology gene expression database.

Authors:  Kazuho Ikeo; Jun Ishi-i; Takurou Tamura; Takashi Gojobori; Yoshio Tateno
Journal:  C R Biol       Date:  2003 Oct-Nov       Impact factor: 1.583

6.  ArrayExpress--a public repository for microarray gene expression data at the EBI.

Authors:  Alvis Brazma; Helen Parkinson; Ugis Sarkans; Mohammadreza Shojatalab; Jaak Vilo; Niran Abeygunawardena; Ele Holloway; Misha Kapushesky; Patrick Kemmeren; Gonzalo Garcia Lara; Ahmet Oezcimen; Philippe Rocca-Serra; Susanna-Assunta Sansone
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

7.  Design and implementation of microarray gene expression markup language (MAGE-ML).

Authors:  Paul T Spellman; Michael Miller; Jason Stewart; Charles Troup; Ugis Sarkans; Steve Chervitz; Derek Bernhart; Gavin Sherlock; Catherine Ball; Marc Lepage; Marcin Swiatek; W L Marks; Jason Goncalves; Scott Markel; Daniel Iordan; Mohammadreza Shojatalab; Angel Pizarro; Joe White; Robert Hubley; Eric Deutsch; Martin Senger; Bruce J Aronow; Alan Robinson; Doug Bassett; Christian J Stoeckert; Alvis Brazma
Journal:  Genome Biol       Date:  2002-08-23       Impact factor: 13.583

  7 in total
  34 in total

1.  Conceptual aspects of large meta-analyses with publicly available microarray data: a case study in oncology.

Authors:  Markus Schmidberger; Sabine Lennert; Ulrich Mansmann
Journal:  Bioinform Biol Insights       Date:  2011-01-23

Review 2.  Storage and retrieval of microarray data and open source microarray database software.

Authors:  Gavin Sherlock; Catherine A Ball
Journal:  Mol Biotechnol       Date:  2005-07       Impact factor: 2.695

3.  Genetic and molecular epidemiology.

Authors:  John P A Ioannidis
Journal:  J Epidemiol Community Health       Date:  2007-09       Impact factor: 3.710

4.  Repeatability of published microarray gene expression analyses.

Authors:  John P A Ioannidis; David B Allison; Catherine A Ball; Issa Coulibaly; Xiangqin Cui; Aedín C Culhane; Mario Falchi; Cesare Furlanello; Laurence Game; Giuseppe Jurman; Jon Mangion; Tapan Mehta; Michael Nitzberg; Grier P Page; Enrico Petretto; Vera van Noort
Journal:  Nat Genet       Date:  2008-01-28       Impact factor: 38.330

5.  MIFlowCyt: the minimum information about a Flow Cytometry Experiment.

Authors:  Jamie A Lee; Josef Spidlen; Keith Boyce; Jennifer Cai; Nicholas Crosbie; Mark Dalphin; Jeff Furlong; Maura Gasparetto; Michael Goldberg; Elizabeth M Goralczyk; Bill Hyun; Kirstin Jansen; Tobias Kollmann; Megan Kong; Robert Leif; Shannon McWeeney; Thomas D Moloshok; Wayne Moore; Garry Nolan; John Nolan; Janko Nikolich-Zugich; David Parrish; Barclay Purcell; Yu Qian; Biruntha Selvaraj; Clayton Smith; Olga Tchuvatkina; Anne Wertheimer; Peter Wilkinson; Christopher Wilson; James Wood; Robert Zigon; Richard H Scheuermann; Ryan R Brinkman
Journal:  Cytometry A       Date:  2008-10       Impact factor: 4.355

6.  Global gene expression analysis of the heat shock response in the phytopathogen Xylella fastidiosa.

Authors:  Tie Koide; Ricardo Z N Vêncio; Suely L Gomes
Journal:  J Bacteriol       Date:  2006-08       Impact factor: 3.490

7.  Using DNA microarrays to assay part function.

Authors:  Virgil A Rhodius; Carol A Gross
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

8.  The filamentous fungal gene expression database (FFGED).

Authors:  Zhang Zhang; Jeffrey P Townsend
Journal:  Fungal Genet Biol       Date:  2009-12-16       Impact factor: 3.495

9.  Global transcription profiling reveals comprehensive insights into hypoxic response in Arabidopsis.

Authors:  Fenglong Liu; Tara Vantoai; Linda P Moy; Geoffrey Bock; Lara D Linford; John Quackenbush
Journal:  Plant Physiol       Date:  2005-02-25       Impact factor: 8.340

Review 10.  The role of gene expression in ecological speciation.

Authors:  Scott A Pavey; Hélène Collin; Patrik Nosil; Sean M Rogers
Journal:  Ann N Y Acad Sci       Date:  2010-09       Impact factor: 5.691

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