1. Catalog
  2. Nodes
  3. bp(GO:"reverse cholesterol transport")

bp(GO:"reverse cholesterol transport")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
reverse cholesterol transport
Namespace
go
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/go-names.belns

Appears in Networks 1

Nuclear receptors as therapeutic targets for Alzheimer's disease. v1.0.0

In-Edges 3

act(p(HGNC:NR1H3)) increases bp(GO:"reverse cholesterol transport") View Subject | View Object

Recently, they have been shown to promote the degradation of the Ab peptides in the brain by activating genes responsible for reverse cholesterol transport [13]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High
MeSH
Microglia

act(p(HGNC:PPARD)) increases bp(GO:"reverse cholesterol transport") View Subject | View Object

PPAR-d activation has also been shown to promote reverse cholesterol transport. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

act(p(HGNC:PPARG)) increases bp(GO:"reverse cholesterol transport") View Subject | View Object

Recently, they have been shown to promote the degradation of the Ab peptides in the brain by activating genes responsible for reverse cholesterol transport [13]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High
MeSH
Microglia

Out-Edges 0

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.