Abstract

INTRODUCTION

The Mouse Genome Database (MGD) is an integrated database of genetic, genomic and phenotypic data for the laboratory mouse (1–3). MGD is a central component of the Mouse Genome Informatics (MGI) database resource (http://www.informatics.jax.org). Other MGI data resources that are integrated with MGD include the Gene Expression Database (GXD) (4), the Mouse Tumor Biology Database (MTB) (5), the Gene Ontology (GO) project (6) and the MouseCyc database of biochemical pathways (7). Data in MGD are updated daily. There are typically four to six major software releases per year to support access and display of new data types. All data and associated utilities are freely and openly available.

The primary data maintained in MGD include mouse genes and other genome features along with their function and phenotype annotations, associations of genome features with nucleotide and protein sequences, genetic and physical maps, associations between human diseases and mouse models, SNPs and other polymorphisms, and mammalian homology data. A recent summary of MGD content is shown in Table 1.

Table 1.

Summary of MGD data content (1 September 2010)

MGD data statistics	1 September 2010
Genes with nucleotide sequence data	28837
Genes with protein sequence data	25878
Genes with mutant alleles in mice	12900
Genes with experimentally based GO annotations	11257
Mouse/human orthologs	17852
Genes with one or more mutant allelesa	19063
Genes with one or more phenotypic allelesb	8766
Total mutant alleles, including gene trapsa	570982
Phenotypic allelesb	24997
Genes with targeted alleles	11940
Gene trapped alleles	531232
Human diseases with one or more mouse models	1033
QTLs	4473
Number of references	157509
Mouse RefSNPs	10089892

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^aMutant alleles include those occurring in mice and/or in ES cell lines.

^bPhenotypic alleles include only those mutant alleles present in mice.

MGI curatorial staff acquires data by direct data loads from other databases, from direct submission from researchers, and from published literature. To facilitate data integration, MGI employs recognized standards for genetic and genomic nomenclature, and provides functional and phenotypic annotations describing mouse genes, sequences, strains, expression data, alleles and phenotypes. All data associations in MGD are supported with evidence and citations.

Researchers can access MGD data using keyword or ID-based searches, multi-value integrated queries and programmatically using web services. MGD provides vocabulary browsers to support access to database content via GO annotations, Mammalian Phenotype (MP) (8) annotations and Human Disease Term annotations using OMIM (9). The MGI MouseBLAST server allows users to interrogate the MGI database using nucleotide and/or protein sequences. Access to data in MGD is also facilitated by a variety of tab-delimited database reports that are updated nightly and that are available for download via FTP.

MGD collaborates with other large genome informatics resources (i.e. NCBI, Ensembl, UniProt, HGNC) to curate and maintain a comprehensive catalog of mouse genes and other genome features, and to resolve inconsistencies in the representation of mouse genome features. Biological annotations for mouse genes based on MGD curation are incorporated into scores of external informatics resources and software products.

NEW IN 2010

Classification terms for genome features

We have implemented new classification terms for genome features that improve the user’s ability to search for specific categories features (e.g. protein-coding gene, non-coding gene, heritable phenotype, etc.). The new genome classifications are accessible from the Genes and Markers Query Form (Figure 1) as well as the MGI instance of BioMart. Most of the classification terms and definitions are derived from the Sequence Ontology (SO) (11) project.

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Figure 1.

New classification terms for MGD markers and genome features. The definitions for the terms are displayed when a user ‘mouses over’ a term. Numbers following the term are the current number of entities in that class within MGD. Updated nightly.

Recombinase (cre) portal

Many of the new alleles being created by the IKMC are ‘conditional-ready’; that is by mating a mouse carrying such an allele to a recombinase bearing transgenic or knockin mouse, a conditional genotype can be produced. These conditional genotypes will have the gene of interest ‘knockedout’ in specific tissues or at specific developmental stages, thus allowing finer analysis of gene function and mitigating potential lethality of effects of a null allele during development. Knowledge of the expression and specificity of the recombinase transgene or knockin allele is key to selecting the appropriate mouse to use in generating conditional genotypes. MGI has released a Recombinase (cre) Data Portal that specifically addresses this need (www.creportal.org). Through this portal, users can access information about all existing cre transgenes and knockins. Data include molecular description of the cre transgene or knockin, the driver / promoter used, inducibility information, publications and availability of cre mice through the IMSR (www.findmice.org, Figure 2). Detailed data, including annotated images showing cre activity/expression for the tissues analyzed are being added as available. Access to phenotypes displayed by cre-deleted mice is provided via integration with MGI’s phenotype data. Currently, there are over 1260 recombinase-containing transgenes and knockin alleles cataloged in the Recombinase (cre) portal.

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Figure 2.

Details for the specificity of the recombinase bearing knockin allele, Tgfb3tm1(cre)Vk in sensory organs. Information shown includes molecular description, links to strain availability, other tissues showing recombinase activity and a gallery of images for Tgfb3tm1(cre)Vk in sensory organs. Arrow shows how images may be moved and enlarged to enable better inspection. The table in the lower portion shows detailed annotations for the sensory organ recombinase activities.

Other functional updates and changes

Several minor changes to MGD were incorporated this year including a series of updates to the gene detail pages in regards to integration with other major providers of sequence and gene model data. For example, links are now provided to the underlying evidence that supports gene predictions from VEGA (15), Ensembl (16) and NCBI (17). In addition, if there is a discrepancy in the biotype classification for a gene prediction (i.e. gene versus pseudogene), a ‘biotype conflict’ note now appears on the gene detail page in MGI (Figure 3). The transcript and protein sequences for VEGA and Ensembl gene predictions were incorporated into MGI and can be downloadable from the sequence summary report for each gene record.

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Figure 3.

Screenshot showing a biotype conflict note for the Cecr6 gene. In this instance, the Ensembl annotation pipeline has assigned a status of ‘pseudogene’ to Cecr6 and the NCBI annotation pipeline has assigned it a status of ‘protein-coding gene.’ MGI provides links to the underlying evidence for both gene predictions so that users can examine the evidence used to support the gene structure and biotype assignments by different annotation groups.

We now also supply links to Protein Ontology (18) annotations. The PRO provides an ID for each type of protein including protein variants, isoforms and modified forms. As a member of the Protein Ontology Consortium, we are providing detailed annotations for mouse isoforms (in particular). We are also working with the MouseCyc group and PRO to provide specific representations for protein complexes including the exact descriptions and accession IDs for each protein form found in a protein complex. We envision that this approach will eventually support functional annotations to specific proteins and protein complexes rather than to the more generic ‘gene’.

As genome sequence data emerges for strains of mice other than the C57BL/6J reference genome, it becomes possible to identify strain-specific genes. MGI now provides a ‘strain specific genome feature’ note for these features. For, example, the renin 2 (Ren2; MGI:97899) gene is not present in the reference genome but is found in the genomes of other strains of mice.

OTHER INFORMATION

Community outreach and user support

The MGD resource has full time staff members who are dedicated to user support and training. Members of the User Support team can be contacted via e-mail, web requests, phone or FAX.

•World wide web:	http://www.informatics.jax.org/mgihome/support/ support.shtml
•E-mail access:	[email protected]
•Telephone access:	+1 207 288 6445
•Fax access:	+1 207 288 6132

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MGD User Support staff are available for on-site training on the use of MGD and other MGI data resources. The traveling tutorial program includes lectures, demos and hands-on tutorials that can be customized according to the research interests of the audience.

MGI-LIST (http://www.informatics.jax.org/mgihome/lists/lists.shtml) is a moderated and active email bulletin board supported by the MGD User Support group. The MGI listserve has over 2100 subscribers. On average there are three posts per day, every day.

HIGH LEVEL OVERVIEW OF THE MAIN COMPONENTS AND IMPLEMENTATION

MGD is implemented in the Sybase relational database management system with ~180 tables within which the biological information is stored. BLAST-able databases and genome assembly files for sequence data are stored outside the relational database. An editing interface (EI) and automated load programs are used to input data into the MGD system. The EI is an interactive, graphical application used by curators. Automated load programs that integrate larger data sets from many sources into the database include quality control (QC) checks and processing algorithms that integrate the bulk of the data automatically and identify issues to be resolved by curators or the data provider. Thus, through EI and automated loads, we acquire and integrate large amounts of data into a high quality, knowledgebase.

Public data access to MGD is provided primarily through the web interface (WI) where users can interactively query and download our data through a web browser. MouseBLAST allows users to do sequence similarity searches against a variety of rodent sequence databases that are updated weekly from selected sequence databases from NCBI, UniProt and other providers. Mouse GBrowse allows users to visualize mouse data sets against the genome as a series of linear tracks. All MGD files and programs are openly and freely available.

We continue to provide MGD BioMart with the addition of new classification terms for genome features. MGD BioMart is updated on a weekly basis. MGD BioMart supports chaining to several other BioMarts including Ensembl, VEGA and RGD. Additional functionalities such as the ability to filter by GO, MP and OMIM terms and including additional information about alleles are planned for future extensions.

CITING MGD

For a general citation of the MGI resource please cite this article. In addition, the following citation format is suggested when referring to data sets specific to the MGD component of MGI: MGD, MGI, The Jackson Laboratory, Bar Harbor, Maine (URL: http://www.informatics.jax.org) [Type in date (month, year) when you retrieved the data cited].

FUNDING

National Institutes of Health/National Human Genome Research Institute, The Mouse Genome Database (grant HG000330;). Funding for open access charge: (grant HG000330).

Conflict of interest statement. None declared.

ACKNOWLEDGEMENTS

REFERENCES