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To start using MetaBridge, you need to upload a list of compounds of interest as metabolite IDs. If you are starting with raw metabolomics data, you will need to preprocess your metabolites with your method of choice to obtain compounds of interest and their corresponding metabolite IDs. We recommend MetaboAnalyst for metabolite preprocessing.
Upload your metabolites to MetaBridge and select your metabolites for mapping.
Choose a database to map against and view your mapping results.
Download your full mapping results (example table below).
|KEGG||Compound||Enzyme||Enzyme Name||Gene Name||Entrez|
Once you have uploaded all of your gene/protein lists, check the dropdown menu to check that everything was properly uploaded, and select a dataset to start with.
Next, choose [Network Analysis → Protein-protein interactions] and choose the literature-curated IMEX Interactome as your protein-protein interaction database.
Now, a protein-protein interaction network will be generated based on the data you have uploaded. Depending on the size of the dataset you have uploaded, you may wish to choose from the network sizes on the lefthand size. Generally, we recommend using a minimum-connected protein-protein interaction network. However, if your data are particularly sparse, you may need to use first-order interaction networks, whereas if your dataset is particularly large, you may wish to use a zero-order interaction network. Typically, we aim for a network containing a few hundred nodes.
Also if importance here is the [Batch Exclusion] tool. This tool is quite helpful in filtering out proteins that you know to be highly connected in the cell, but not if interest to the condition you are studying. One of the most common proteins we filter out is UBC (uniprot ID P0CG48).
Below, you will find an example of each minimum-connected network generated
For each network you create, you can extract various information from the network. For example, you can use the [Function Explorer] panel on the righthand side to view pathway enrichment analyses of the networks. On the lefthand side, you can use the [Node Explorer] to view information about individual nodes of the network and [Save] the entire node list as a CSV file for further analysis.
You can also tweak the network appearance as you would like. For example, you can paste in your original lists to the [Batch Selection] panel and color-code each node of the network corresponding to its original data source. Then, you can download image files of the networks you have created.
In addition to network creation, you can use NetworkAnalyst's extensive suite of tools, such as the [Venn Diagram] or [Chord Diagram] tools to examine overlap of your datasets. For example, you can examine the overlap of your MetaBridge-mapped genes with your other datasets.
To examine overlap of your protein-protein interaction networks, you can upload the genes contained in your networks (from the downloaded node tables) and use the Venn Diagram function to explore network overlap.