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p(MGI:Abca1)

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Entity

Name
Abca1
Namespace
MGI
Namespace Version
20170725
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/mgi-mouse-genes/mgi-mouse-genes-20170725.belns

Appears in Networks 1

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

In-Edges 2

a(CHEBI:pioglitazone) increases p(MGI:Abca1) View Subject | View Object

Significantly, the levels of ABCA1 and ApoE were elevated in the brains of these animals [66]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
Medium

a(CHEBI:rosiglitazone) increases p(MGI:Abca1) View Subject | View Object

While the authors did not detect an increase in ApoE levels in the treated animals, they did observe a modest increase in ABCA1 levels and argue that the enhanced Ab clearance could be attributed to an increase in lipidation of ApoE by ABCA1 [64]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
Medium

Out-Edges 2

p(MGI:Abca1) decreases a(HBP:HBP00038) View Subject | View Object

Conversely, overexpression of ABCA1 in a mouse model of AD was shown to decrease both soluble and fibrillar pools of Ab in 12-month-old mice and reduce plaque burden [53]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
Medium

p(MGI:Abca1) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

Conversely, overexpression of ABCA1 in a mouse model of AD was shown to decrease both soluble and fibrillar pools of Ab in 12-month-old mice and reduce plaque burden [53]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
Medium

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.