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  Nfatc2 protein (Mus musculus) - STRING interaction network
 

This is the evidence view. Different line colors represent the types of evidence for the association.

 
   
Your Input:
Nfatc2
nuclear factor of activated T-cells, cytoplasmic, calcineurin-dependent 2; Plays a role in the inducible expression of cytokine genes in T-cells, especially in the induction of the IL-2, IL-3, IL-4, TNF-alpha or GM-CSF (927 aa)
(Mus musculus)
Predicted Functional Partners:
Fos
FBJ osteosarcoma oncogene; Nuclear phosphoprotein which forms a tight but non- covalently linke [...] (380 aa)
    ••• 0.971
Jun
Jun oncogene; Transcription factor that recognizes and binds to the enhancer heptamer motif 5'- [...] (334 aa)
    ••• 0.967
Il4
interleukin 4; Participates in at least several B-cell activation processes as well as of other [...] (140 aa)
     •• 0.963
Il2
interleukin 2; Produced by T-cells in response to antigenic or mitogenic stimulation, this prot [...] (169 aa)
     •• 0.953
Irf4
interferon regulatory factor 4; Transcriptional activator. Binds to the interferon- stimulated [...] (450 aa)
    ••• 0.922
Ppp3ca
protein phosphatase 3, catalytic subunit, alpha isoform; Calcium-dependent, calmodulin-stimulat [...] (521 aa)
     •• 0.922
Ppp3cb
protein phosphatase 3, catalytic subunit, beta isoform; Calcium-dependent, calmodulin-stimulate [...] (525 aa)
     •• 0.895
Csf2
colony stimulating factor 2 (granulocyte-macrophage); Cytokine that stimulates the growth and d [...] (141 aa)
     •• 0.894
Icos
inducible T-cell co-stimulator; Enhances all basic T-cell responses to a foreign antigen, namel [...] (223 aa)
      • 0.884
Nfatc2ip
nuclear factor of activated T-cells, cytoplasmic, calcineurin-dependent 2 interacting protein; [...] (412 aa)
    • • 0.874
 
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Info & Parameters ...
Network Display - Nodes are either colored (if they are directly linked to the input - as in the table) or white (nodes of a higher iteration/depth). Edges, i.e. predicted functional links, consist of up to eight lines: one color for each type of evidence. Hover or click to reveal more information about the node/edge.
Active Prediction Methods:
Neighborhood Gene Fusion Co-occurrence
Co-expression Experiments Databases Textmining
 
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