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Appears in Networks 2

In-Edges 5

a(CHEBI:"amyloid-beta") increases act(p(HGNC:BAD)) View Subject | View Object

AKT interacts with BAD to regulate apoptosis and, interestingly, also has many interacting partners in the insulin signaling pathway. Abeta increased activity of BAD, lowered the activity of the antiapoptotic protein BCL2, in rat hippocampal neurons in primary culture (Koriyama et al., 2003) and has been shown to be toxic to human neuroblastoma cells by increasing BAX activity and decreasing BCl-2 activity (Clementi et al., 2006). PubMed:19293145

a(CHEBI:nicotine) increases act(p(HGNC:BAD)) View Subject | View Object

In lung cancer cells, nicotine also exerts an antiapoptotic effect through activating BCL2-antagonist of cell death (BAD), a process that is inhibited by blockers of the extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) pathway or the PI3K/AKT pathway (Jin et al., 2004). PubMed:19293145

bp(GO:"MAPK cascade") increases act(p(HGNC:BAD)) View Subject | View Object

In lung cancer cells, nicotine also exerts an antiapoptotic effect through activating BCL2-antagonist of cell death (BAD), a process that is inhibited by blockers of the extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) pathway or the PI3K/AKT pathway (Jin et al., 2004). PubMed:19293145

act(p(FPLX:PI3K)) increases act(p(HGNC:BAD)) View Subject | View Object

In lung cancer cells, nicotine also exerts an antiapoptotic effect through activating BCL2-antagonist of cell death (BAD), a process that is inhibited by blockers of the extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) pathway or the PI3K/AKT pathway (Jin et al., 2004). PubMed:19293145

Out-Edges 1

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.