Salivary Gland Gene Expression Search Guide
The Salivary Gland Molecular Anatomy Project (SGMAP) provides a searchable gene expression database
for mouse salivary gland development. Data for this gene expression database were generated using
Agilent microarrays. Temporal expression patterns of genes are available for submandibular (SMG)
and sublingual (SLG) glands from embryonic day (E) 11.5 through adult, and spatial expression patterns
are provided for selected developmental stages.
- The search term can be Gene Symbol, Gene Description or Gene Ontology Term as shown on the search page.
- The developmental time courses of SMG and SLGs and regions analyzed by laser capture microdissection (LCM)
experiments are shown in the two explanatory images.
- If a single gene matches the search term, the individual expression page is displayed. If more genes match,
a list of genes with mini expression patterns is presented. Some genes do not have all three patterns due to
experimental differences. Each gene symbol links to the expression pattern page.
- The signal intensity range is around 10 to 500,000 arbitrary units. We recommend caution
when the maximum signal in a pattern is below 100. The signal/noise ratio might be low. Data
should always be confirmed by PCR.
- On the expression page, SMG, SLG and SMG LCM patterns are displayed. In addition, related Gene Ontology
terms and pathways, if they exist, are displayed and linked to geneontology.org and kegg.jp respectively.
- On the expression page, the Similar Profile link leads to a list of other genes that have similar expression
patterns as generated by the Kmeans clustering method.
- On the expression page, the Probe Pattern link leads to raw expression patterns of microarray probes of that
gene. The Agilent platform has multiple probes for some genes and some probes work better than others, giving
higher expression values. The probe expression pattern helps to evaluate the gene expression pattern.
- On the top of the expression page, links to Entrez, Pubmed and GenBank are provided.
- On the Similar Profile page, gene names in red share more similar patterns than those in blue. Each name is linked to
the expression page.
- At the bottom of the Similar Profile page, the list is displayed. The list can be copied and pasted to other
analysis computing applications. The link to MsigDB is provided and the list can be analyzed there.
The project was initiated by Matthew Hoffman, Kenneth Yamada and John Chiorini and funded by the Intramural Research Program of the NIDCR.
The expression profiles for developmental stages and epithelium compared to mesenchyme were generated
by Matthew Hoffman, Ivan Rebustini, Vaishali Patel, and Sarah Knox. The spatial gene expression data
after LCM were generated by Kurt Musselmann, Khin Sone, Ian Bothwell, Sarah Johnson, and Kenneth Yamada.
Bioinformatics and establishment of the web site were performed by Zheng Wei.
If you have questions or suggestions, please contact:
Matthew Hoffman for SMG and SLG developmental expression profiles.
Kenneth Yamada for LCM localization expression data.
Zheng Wei for bioinformatics and web site.
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