Plcg1 protein (Mus musculus) - STRING interaction network

Plcg1 protein (Mus musculus) - STRING interaction network

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




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	Plcg1	phospholipase C, gamma 1; The production of the second messenger molecules diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (IP3) is mediated by activated phosphatidylinositol-specific phospholipase C enzymes (1302 aa)
		(Mus musculus)
Predicted Functional Partners:
	Lat	linker for activation of T cells; Required for TCR (T-cell antigen receptor)- and pre-TCR- medi [...] (242 aa)		•	•		0.997
	Pdgfrb	platelet derived growth factor receptor, beta polypeptide; Receptor that binds specifically to [...] (1099 aa)	•	•	•		0.990
	Kdr	kinase insert domain protein receptor; Receptor for VEGF or VEGFC. Has a tyrosine-protein kinas [...] (1366 aa)	•	•	•		0.986
	Prkce	protein kinase C, epsilon; This is calcium-independent, phospholipid-dependent, serine- and thr [...] (737 aa)		•	•		0.983
	Cd247	CD247 antigen; Probable role in assembly and expression of the TCR complex as well as signal tr [...] (206 aa)		•	•		0.980
	Egf	epidermal growth factor; EGF stimulates the growth of various epidermal and epithelial tissues [...] (1217 aa)		•	•		0.973
	Egfr	epidermal growth factor receptor; The EGF receptor mediates the biological signal of EGF, and a [...] (1210 aa)	•	•	•		0.971
	Prkcq	protein kinase C, theta; This is a calcium-independent, phospholipid-dependent, serine- and thr [...] (707 aa)		•	•		0.970
	Lcp2	lymphocyte cytosolic protein 2; Involved in T-cell antigen receptor mediated signaling (533 aa)	•	•	•	•	0.965
	Syk	spleen tyrosine kinase; Positive effector of BCR-stimulated responses. Couples the B-cell antig [...] (629 aa)	•	•	•	•	0.954

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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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