Diabetes Genome Anatomy Project |
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Resources > GenMAPPs
GenMAPPs
GenMAPP is a stand-alone tool for drawing pathway maps. The results of microarray experiments can be superimposed on these maps, providing a visual aid to detect pathway perturbation via modulation of gene expression.
The following are representations of GenMAPPs created by DGAP:
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Mouse Insulin Signaling MAPP
This figure demonstrates expression dataset analysis using the
Mm_Insulin_Signaling MAPP created by DGAP investigators. The experiment
visualized in this example is a comparison of expression data in muscle from
insulin deficiency (streptozotocin-induced acute diabetes, untreated, STZ) vs.
control (C) in mouse. Genes highlighted in red are genes with expression
increased in STZ diabetes relative to control, for which uncorrected p value
for the [STZ diabetes vs. C] comparison is <0.05. Genes highlighted in blue
are genes with expression decreased in STZ diabetes, for which uncorrected p
value for the [STZ diabetes vs. C] comparison is <0.05. The values next to the
genes indicate the actual p-value/fold change.
Experimental data used in this figure can be downloaded HERE.
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Human Insulin Signaling MAPP
This figure demonstrates expression dataset analysis using the
Hs_Insulin_Signaling MAPP created by DGAP investigators. The experiment
visualized in this example is a comparison of expression data from skeletal
muscle biopsy samples of humans with type 2 diabetes (DM) as compared with
healthy controls (C). Genes highlighted in red are genes with expression
increased in type 2 diabetes relative to control, for which uncorrected p value
for the [DM vs. C] comparison is <0.05. Genes highlighted in blue are genes
with expression decreased in type 2 diabetes, for which uncorrected p value for
the [DM vs. C] comparison is <0.05. The values next to the genes indicate the
actual p-value/fold change.
Experimental data used in this figure can be downloaded HERE.
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Mouse Adipogenesis MAPP
This figure demonstrates expression dataset analysis using the
Mm_Adipogenesis MAPP created by DGAP investigators. The experiment
visualized in this example is a comparison of expression data in brown
preadipocytes derived from wild type (WT) and IRS-1
deficient (IRS1 KO) mice. Genes highlighted in red are genes with
expression increased in IRS1 KO preadipocytes relative to WT control,
for which uncorrected p-value for the [IRS-1 KO vs. WT] comparison is
<0.05. Genes highlighted in blue are genes with expression decreased in
the IRS-1 KO preadipocytes, for which uncorrected p-value for the [IRS-1
KO vs. WT] comparison is <0.05. The values next to the genes indicate
the actual fold change.
Experimental data used in this figure can be downloaded HERE.The corresponding Human Adipogenesis MAPP is also available for download from genmapp.org.
Accessing DGAP MAPPs in GenMAPP
To download these Insulin Signaling MAPPs and to permit analysis and ontology assessment in real-time:
- Download and install GenMAPP 2.0 (www.genmapp.org)
- Open GenMAPP 2.0
- Select Data -> Download Data from GenMAPP.org
- Expand MAPP Archives
- For human - Select Homo Sapiens and download Hs_MAPP_Archive_Contributed_20050428 (Or must recent contributed archive)
- For mouse - Select Mus musculus and download Mm_MAPP_Archive_Contributed_20050428 (Or must recent contributed archive)
- Insulin Signaling MAPPs can be found in the respective cellular process folder