STRING 9.05 
  SGCE protein (Homo sapiens) - STRING network view
 

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

 
   
Your Input:
SGCE
sarcoglycan, epsilon; Component of the sarcoglycan complex, a subcomplex of the dystrophin-glycoprotein complex which forms a link between the F-actin cytoskeleton and the extracellular matrix (462 aa)
(Homo sapiens)
Predicted Functional Partners:
SSPN
sarcospan (Kras oncogene-associated gene); Component of the dystrophin-glycoprotein complex (DG [...] (243 aa)
      0.917
SGCB
sarcoglycan, beta (43kDa dystrophin-associated glycoprotein); Component of the sarcoglycan comp [...] (318 aa)
     0.894
DMD
dystrophin; May play a role in anchoring the cytoskeleton to the plasma membrane (3685 aa)
      0.852
SGCD
sarcoglycan, delta (35kDa dystrophin-associated glycoprotein); Component of the sarcoglycan com [...] (290 aa)
      0.852
TLE1
transducin-like enhancer of split 1 (E(sp1) homolog, Drosophila); Transcriptional corepressor t [...] (770 aa)
      0.848
SGCZ
sarcoglycan zeta; Component of the sarcoglycan complex, a subcomplex of the dystrophin-glycopro [...] (312 aa)
      0.829
DAG1
dystroglycan 1 (dystrophin-associated glycoprotein 1); Forms part of the dystrophin-associated [...] (895 aa)
      0.811
SGCG
sarcoglycan, gamma (35kDa dystrophin-associated glycoprotein); Component of the sarcoglycan com [...] (291 aa)
      0.811
PEG10
paternally expressed 10; Prevents apoptosis in hepatocellular carcinoma (HCC) cells through int [...] (325 aa)
      0.775
SGCA
sarcoglycan, alpha (50kDa dystrophin-associated glycoprotein); Component of the sarcoglycan com [...] (387 aa)
     0.735
 
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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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additional (white) nodes

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