Task 2 - Metabolic Pathway Visualization
Integrate and visualize a set of biological data (e.g. genes,proteins,enzymes, …) within metabolic pathways of interest using the MapMan Desktop App. In this task, the user will handle the set of proteins previously annotated in Task 1 - Plant Data Annotation and integrate/visualize them within a lignin biosynthesis metabolic pathway.
Integrating annotated cork oak data in a metabolic pathway of interest
Perform the download and installation of the MapMan Desktop App using the download & installation intructions within this guide.
Launch MapMan, and in the main menu select Show Pathway to visualize your data in the context of metabolic pathways.
In the left box, right-click Experiments -> Add Data -> select the
corkoak_LogFC_July_Aprilfile.In the left box, right-click Mappings -> New Mapping -> from file, browse and select the
corkoak.resultsfile (obtained in Task 1 - Plant Data Annotation) within theCorkOak_UseCase_Data-mainfolder.In the left box, right-click Pathways -> Add Pathway -> download, browse and select the file named
X4.5_Lignin(select the file with the Microsoft Edge HTML Document extension, the XML Document will not work).
Warning
X4.5 Monolignol biosynthesis custom-made diagram, and unzip it (it should extract two separate files).X4.5_LigninIn the Pathway Workflow - Choose Pathway box, select the
X4.5_Ligninpathway file.In the Pathway Workflow – Choose Mapping box, select the
corkoak.resultsmapping file.In the Pathway Workflow – Choose Experimental Data Set, select the
corkoak_LogFC_July_Aprilfile.Click Show Pathway.
Note
In MapMan, by default, red color indicates gene downregulation while blue indicates upregulation.
Right-click the pathway image and select Options. Under the Coloring Scheme field, select +Red Blue- to invert color mappings.
- Download the pathway image by clicking File (leftmost corner) -> Export as Image, renaming it as
corkoak_lignin_mapping.The Output Annotated Pathway should look like the following:
MapMan Output
Pathway Interpretation
Note
Video Guide:
Dummy Experimental Data Example:
Gene |
Log2FoldChange |
|---|---|
geneID1 |
1 |
geneID2 |
1 |
geneID3 |
1 |
… |
… |