miRTargetLink Human

  • 1 interactions with strong support

  • 4 interactions with weak support

  • 9 predicted interactions

  • Hover over any node or edge to see more info about the interaction.
  • Double click on a gene or microRNA to open its interaction landscape in a new tab.
  • Right click -> 'save image as...' to download network as png image.
  • Click on microRNAs or genes in the table below to open a genecards or miRBase link in a new tab.
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Gene MicroRNA Evidence category miRTarBase ID
MMS19 hsa-miR-16-5p Strong MIRT005262
MMS19 hsa-miR-34a-5p Weak MIRT025507
MMS19 hsa-miR-24-3p Weak MIRT030607
MMS19 hsa-miR-92b-3p Weak MIRT040621
MMS19 hsa-miR-29c-3p Weak MIRT044232
MMS19 hsa-miR-132-3p Prediction N/A
MMS19 hsa-miR-140-5p Prediction N/A
MMS19 hsa-miR-574-3p Prediction N/A
MMS19 hsa-miR-3153 Prediction N/A
MMS19 hsa-miR-3972 Prediction N/A
MMS19 hsa-miR-4727-5p Prediction N/A
MMS19 hsa-miR-6733-5p Prediction N/A
MMS19 hsa-miR-6780b-5p Prediction N/A
MMS19 hsa-miR-8078 Prediction N/A

Table filter:

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

Perform Over-representation analysis with GeneTrail2, a tool for statistical analysis of molecular signatures that was developed in the Chair for Bioinformatics at the University of Saarland.

Perform Over-representation analysis for:

The length of the edges is an extra indicator for the type of evidence that supports the interaction. The center node (brown) depicts the query microRNA or gene, the nodes closest to the query node (green) depict interactions that are backed up by strong experimental evidence such as Reporter Gene Assay. Second (blue) are the intereactions that are backed up by weaker experimental evidence such as Microarray. The outer most nodes (yellow) depict intereactions are backed up only by prediction algorithms.