GXD collects and integrates the gene expression information in MGI.
Its primary emphasis is on endogenous gene expression during mouse development.
- How do I...
- .. find expression data for a specific gene and tissue?
- .. find expression data for a tissue during development?
- .. find genes expressed in one tissue but not another?
- .. find references that report expression data for a gene at a specific age?
- Genes studied in expression references
- Genes with expression assay results
- Expression assay results
- Expression images
- Expression assays
- Mouse mutants with expression data
Gene Expression News
March 13, 2017
- The Gene Expression Data Query has been updated to allow use of Disease Ontology (DO) terms to search for expression data for sets of genes associated with disease models. The DO covers a full spectrum of phenotype characteristics and related medical vocabulary disease concepts and includes terms represented in other ontologies, such as MeSH, ICD, NCI's thesaurus, SNOMED and OMIM. You can use the MGI Disease Ontology Browser to explore the vocabulary.
- A Batch Search utility has been added, as a third tab, to the Gene Expression Data Query to facilitate searches for expression data using lists of gene symbols or IDs. You can search by either uploading a list of symbols or IDs from tab-delimited or comma-separated files or by copying and pasting a list into the text search box. In addition, the genes field of the Standard Search now accepts comma-separated lists of gene symbols. All Gene Expression Data searches return a tissue-by-gene matrix view as part of its multi-tabbed data summary; this view enables a comparison of expression patterns between genes. Data filters found on the summary pages can be used to further refine search results.
- Two interactive matrix views have been developed to provide users with intuitive, high-level summaries of expression data and from where they can easily move to levels of greater detail. The tissue-by-developmental stage matrix provides global overviews of the spatio-temporal expression patterns of genes. The tissue-by-gene matrix enables a comparison of expression patterns between genes. Both types of matrices can be expanded (and collapsed) along the tissue axis, based on the hierarchical organization of the anatomy. Rows and columns in the matrices can be selected to refine the data set. The matrices have been added as new tabs to the gene expression data summaries. These matrices can be accessed by searches using the Gene Expression Data Query and via links from the Mouse Developmental Anatomy Browser.