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Appears in Networks 1

In-Edges 4

bp(GO:"cellular response to DNA damage stimulus") increases complex(GO:ripoptosome) View Subject | View Object

Furthermore, in response to genotoxic stress, the ripoptosome assembles and activates caspase 8. PubMed:23702978

Annotations
Confidence
High
NeuroMMSigDB
Caspase subgraph

p(HGNC:BIRC2) decreases complex(GO:ripoptosome) View Subject | View Object

The ripoptosome contains caspase 8, FAS-associated death domain protein (FADD) and receptor-interacting protein 1 (RIP1; also known as RIPK1), and forms spontaneously in response to loss or inhibition of the antiapoptotic proteins X-linked inhibitor of apoptosis protein (XIAP), inhibitor of apoptosis protein 1 (IAP1; also known as BIRC3) and IAP2 (also known as BIRC2) (REF 56). PubMed:23702978

p(HGNC:BIRC3) decreases complex(GO:ripoptosome) View Subject | View Object

The ripoptosome contains caspase 8, FAS-associated death domain protein (FADD) and receptor-interacting protein 1 (RIP1; also known as RIPK1), and forms spontaneously in response to loss or inhibition of the antiapoptotic proteins X-linked inhibitor of apoptosis protein (XIAP), inhibitor of apoptosis protein 1 (IAP1; also known as BIRC3) and IAP2 (also known as BIRC2) (REF 56). PubMed:23702978

p(HGNC:XIAP) decreases complex(GO:ripoptosome) View Subject | View Object

The ripoptosome contains caspase 8, FAS-associated death domain protein (FADD) and receptor-interacting protein 1 (RIP1; also known as RIPK1), and forms spontaneously in response to loss or inhibition of the antiapoptotic proteins X-linked inhibitor of apoptosis protein (XIAP), inhibitor of apoptosis protein 1 (IAP1; also known as BIRC3) and IAP2 (also known as BIRC2) (REF 56). PubMed:23702978

Out-Edges 5

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.