Mouse Genome Database (MGD) 2019.
- Authors
- Bult, Carol J; Blake, Judith A; Smith, Cynthia L; Kadin, James A; Richardson, Joel E; Mouse Genome Database Group
- Year
- 2019
- Journal
- Nucleic acids research
- PMID
- 30407599
- DOI
- 10.1093/nar/gky1056
- PMCID
- PMC6323923
The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism genetic and genome resource for the laboratory mouse. MGD is the authoritative source for biological reference data sets related to mouse genes, gene functions, phenotypes, and mouse models of human disease. MGD is the primary outlet for official gene, allele and mouse strain nomenclature based on the guidelines set by the International Committee on Standardized Nomenclature for Mice. In this report we describe significant enhancements to MGD, including two new graphical user interfaces: (i) the Multi Genome Viewer for exploring the genomes of multiple mouse strains and (ii) the Phenotype-Gene Expression matrix which was developed in collaboration with the Gene Expression Database (GXD) and allows researchers to compare gene expression and phenotype annotations for mouse genes. Other recent improvements include enhanced efficiency of our literature curation processes and the incorporation of Transcriptional Start Site (TSS) annotations from RIKEN's FANTOM 5 initiative.
A screenshot of MGDβs Multiple Genome Viewer showing the display of genome annotations across multiple strains of mice. (A) Users may select one or more genomes to be displayed. (B) Equivalent genome features across the strains are highlighted by βswim lanesβ when a user clicks on one or more genome features. (C) Genome feature types (protein coding gene, pseudogene, etc.) are indicated by color; classes of genome features can be toggled on and off in the display.
LLM interpretation
This image is a screenshot of the MGD Multiple Genome Viewer interface showing genome annotations across different mouse strains. The visualization features a genome browser with three horizontal tracks (C57BL/6J, AU, and C3H/HeJ) where genomic features are color-coded by type (e.g., blue for protein-coding genes, orange for pseudogenes) and connected by purple "swim lanes" to highlight equivalent features across strains. The interface includes a genome selection menu (A), a coordinate and zoom control bar (B), and a feature type legend (C).
Screenshot of the Gene Expression-Phenotype Matrix. The first column (gold highlight) summarizes the wild-type expression pattern of the Pax3 gene. The color of matrix cells in the column indicates the type and number of expression annotations for each tissue; the conventions are defined in the matrix legend (inset). Genotype summary data associated with alleles of Pax3 are displayed in the adjacent columns. The tissues where each mutation/genotype has phenotypic effects are indicated by the presence of colored matrix cells. Cells with an βNβ indicate that an expected abnormality was not detected. A red exclamation point indicates the phenotype is affected by changes in mouse strain background. Clicking on blue toggles next to term names expands and collapses the anatomy vocabulary tree. Annotation details are displayed when users click in the cells of the matrix.
LLM interpretation
This image shows a Gene Expression-Phenotype Matrix for the *Pax3* gene, comparing wild-type expression patterns (gold column) against phenotypic effects across various mutant alleles (adjacent columns). The rows represent an anatomy vocabulary tree (e.g., mouse, embryo, organ system), with cell colors indicating the number of expression or phenotype annotations based on the provided matrix legend. Specific markers are used to denote exceptions, such as 'N' for no detected abnormality and a red exclamation point for strain-background effects.
| Name | Type |
|---|---|
| Alliance of Genome Resources local | cohort |
| C57BL/6J | cohort |
| CAROLI/EiJ local | cohort |
| developmental stage | phenotype |
| Disease Ontology terms local | phenotype |
| FlyBase local | cohort |
| Gencode | drug |
| Gene Ontology Consortium local | cohort |
| inbred strains | cohort |
| JBrowse-based mouse genome sequence browser local | cohort |
| laboratory mouse | cohort |
| MGD local | cohort |
| MGD User Support group local | cohort |
| MGI local | drug |
| MGI-LIST local | cohort |
| MGI-TECHNICAL-LIST local | cohort |
| MGV local | drug |
| miRBase | drug |
| mouse genes local | gene |
| Mouse Genome Database local | cohort |
| mouse phenotypic alleles local | variant |
| MP annotations local | phenotype |
| mutant alleles local | variant |
| NCBI | cohort |
| NIH Data Commons Pilot Project local | cohort |
| PAHARI/EiJ local | cohort |
| primary cells local | cohort |
| Rat Genome Database local | cohort |
| RefSNP IDs local | variant |
| RIKEN TSS data local | cohort |
| Saccharomyces Genome Database local | cohort |
| time course experiments local | cohort |
| tissue | anatomy |
| Unified Mouse Genome Feature Catalog local | drug |
| WormBase local | cohort |
| Zebrafish Information Network local | cohort |
No uploaded files.
| Citation | PMID | DOI | Status |
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| Testing Association of Previously Implicated Gene Sets and Gene-Networks in Nicotine Exposed Mouse Models with Human Smoking Phenotypes. | Mize TJ et al. | β | 2023 | β |
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| Models of Renal Cell Carcinoma Used to Investigate Molecular Mechanisms and Develop New Therapeutics. | Shapiro DD et al. | β | 2022 | β |
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| New data and collaborations at the Saccharomyces Genome Database: updated reference genome, alleles, and the Alliance of Genome Resources. | Engel SR et al. | β | 2022 | β |
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| The developmental impacts of natural selection on human pelvic morphology. | Young M et al. | β | 2022 | β |
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| The repertoire of testicular extracellular vesicle cargoes and their involvement in inter-compartmental communication associated with spermatogenesis. | Choy KHK et al. | β | 2022 | β |
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| Whole Genome Sequencing Unravels New Genetic Determinants of Early-Onset Familial Osteoporosis and Low BMD in Malta. | Cilia C et al. | β | 2022 | β |
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| Genetic Diversity and Signatures of Selection in 15 Chinese Indigenous Dog Breeds Revealed by Genome-Wide SNPs. | Yang Q et al. | β | 2019 | β |
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