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  4. lung cancer cell line

lung cancer cell line

Name
lung cancer cell line
Namespace Keyword
CellLine
Namespace
Experimental Factor Ontology (EFO)
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/cell-line/cell-line-20170511.belanno

Sample Annotated Edges 3

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

Appears in Networks:
Annotations
Experimental Factor Ontology (EFO)
lung cancer cell line

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

Appears in Networks:
Annotations
Experimental Factor Ontology (EFO)
lung cancer cell line

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

Appears in Networks:
Annotations
Experimental Factor Ontology (EFO)
lung cancer cell line

Showing 3 of 3 edges

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.