miRTargetLink Human

Manual

This short manual takes you through the functions of miRTargetLink with screenshots explaining every step.

To execute a query for a single microRNA or gene expand the searchfield on the right, enter a microRNA- or gene name and click search.

single query


By submitting the query you will either be directed to the result page, or directly to the network page when there is only one result. On the result page select the right microRNA or gene and click "Draw interaction network for selected gene/microRNA".

results
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miRTargetLink offers the possibility to draw networks for multiple microRNAs or genes as well. To do so enter multiple queries separated by commas in one of the textareas in the panels on the right.

multiple queries


By submitting the queries you will be directed to a result page where you can refine your search by selecting the microRNAs or genes of your choice using the dropdown menus. Select one or more evidence types to include in the graph with the radio buttons, by default 'strong' is selected. After selecting the right queries and evidence types click "Draw interaction network for selected genes/microRNAs".

results
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After executing your queries you will be directed to the network page. On the top you will find specific information about the results. For both single- and multi query networks there will be information about the types of evidence that back up the interactions. The evidence catagories are "Strong", "Weak" and "Predicted".

  • Strong: backed up by strong experimental methods like 'reporter gene assay' (strong overrules weak if both applicable to interaction)
  • Weak: backed up by weaker experimental evidence like 'microarrays' (weak overrules predicted if both applicable to interaction)
  • Predicted: interaction not backed up by experimental evidence but predicted by at least one of the prediction algorithms

single query


For multiple queries experimentally validated interactions from both the strong and weak evidence category will be included in the graph, predicted interactions are excluded in this version of miRTargetLink.

single query


There is always the possibility to re-arrange the network by selecting one or more nodes and moving them around (click+hold and drag). This might be particularly helpful if you want to download a clear image of the network for display purposes.

single query
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On the bottom of a network page the network data is displayed in an interactive table. Click any name to open a miRBase or genecards page for that specific microRNA/gene. To filter out certain evidence categories use the filter buttons below the table. Click 'Download interaction data to recieve the data in comma separated format.

Data table
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In the network view you can move the network around by dragging it with the mouse or using the arrow buttons. Zoom in and out by using the scroll wheel or the +/- buttons. Use the 'center' button (see red box in image below) to re-center the network.

network buttons


For single query networks, the length of the edges and the colour of the nodes are an indication for the evidence catagorie.

  • Strong: shortest edges, node colour is (green)
  • Weak: second shortest edges, node colour is (blue)
  • Predicted: longest edges, node colour is (yellow)
Hover over any node to see the evidence catagory. Double click a node to generate its interaction landscape (opens in new tab).

network functions


Use the buttons below the network to filter out specific catagories. To restore the original network click 'Restore all categories network'.

network functions


For networks with multiple query nodes, The colour of the nodes and edges is an indication for the amount of known interactions the node is involved in.

  • More than 2 interactions: nodes and edges coloured Orange
  • 2 interactions: nodes and edges coloured Blue
The evidence type in this view is indicated by the edge colour. Strong interactions are indicated by green edges. Hover over any node to see the amount of interactions it is involved in, double click to see the node's interaction network. Hover over any edge to see the interaction it represents.

network functions


In this network view you can remove nodes and edges with the interaction buttons below the network. Undo your changes to the network by clicking 'Restore network' which reloads the original network. Generate a subnetwork by selecting the nodes of interest and clicking 'Generate network for selected genes/microRNAs'.

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Over-representation analysis (ORA) can be performed with GeneTrail2. To do so click the buttons in the ORA panel on the right. With single queries you can choose the evidence type that you want to include in the ORA. With multiple queries ORA can be performed on either the complete overlap set or the set of nodes that are currently visible in the network (e.g. after removing weak links). In both cases there is the option to perform ORA on a set of genes/microRNAs that is selected in the network.

Over-representation analysis


By executing an ORA you will be directed to a loading screen. As soon as the ORA is completed you will be presented with a personal link to GeneTrail2.

Over-representation analysis
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Q: Why am I seeing green edges as well when I generate a network in the weak category?

A: Interactions for which there is strong evidence always overrule the weaker evidence if present. In this case miRTargetLink shows you a green edge as an indication that there is strong evidence for that interaction as well as weaker evidence.

Q: Why are some nodes still orange after removing weak edges eventhough they have two outgoing edges?

A: By default the nodes keep their original colour because it indicates that the node is part of a bigger network, which is information the user might want to have included. To update the node colour click 'Refresh nodes'.

Interaction landscape for a single microRNA:


Target-gene overlap between multiple microRNAs:

To view an example, leave fields empty and click search

Interaction landscape for a single gene symbol:


MicroRNA interaction overlap between multiple genes:

To view an example, leave fields empty and click search