STRING 9.05 
  Nr4a1 protein (Mus musculus) - STRING network view
 

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

 
   
Your Input:
Nr4a1
nuclear receptor subfamily 4, group A, member 1 Gene; Orphan nuclear receptor. May act concomitantly with NURR1 in regulating the expression of delayed-early genes during liver regeneration (601 aa)
(Mus musculus)
Predicted Functional Partners:
Nr0b2
nuclear receptor subfamily 0, group B, member 2 Gene; Acts as a negative regulator of receptor- [...] (260 aa)
      0.981
Nr0b1
nuclear receptor subfamily 0, group B, member 1 Gene; Orphan nuclear receptor. Component of a c [...] (472 aa)
      0.926
Nr4a2
RIKEN cDNA 2210008N01 gene Gene; Probable nuclear receptor that regulates gene expression in br [...] (598 aa)
    0.920
Nr4a3
nuclear receptor subfamily 4, group A, member 3 Gene; Binds to the B1A response-element (By sim [...] (657 aa)
    0.918
Akt1
thymoma viral proto-oncogene 1 Gene; General protein kinase capable of phosphorylating several [...] (480 aa)
      0.914
Med1
mediator complex subunit 1 Gene; Component of the Mediator complex, a coactivator involved in t [...] (1575 aa)
     0.913
Nr5a1
nuclear receptor subfamily 5, group A, member 1 Gene; Transcriptional activator. Seems to be es [...] (462 aa)
     0.911
Nr1d2
nuclear receptor subfamily 1, group D, member 2 Gene; Binds to the sequences 5'-AATGTAGGTCA-3' [...] (576 aa)
     0.910
Nr5a2
nuclear receptor subfamily 5, group A, member 2 Gene; Binds to promoters containing the sequenc [...] (560 aa)
     0.909
Ar
androgen receptor Gene; Steroid hormone receptors are ligand-activated transcription factors th [...] (899 aa)
     0.907
 
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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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