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Appears in Networks 3

Amyloid Precursor Protein Trafficking, Processing, and Function v1.0.0

Amyloid Precursor Protein Trafficking, Processing, and Function by Thinakaran, et al., 2008

APP processing in Alzheimer's disease v1.0.1

APP processing in Alzheimer's disease

In-Edges 3

a(CHEBI:"amyloid-beta") negativeCorrelation p(HGNC:SORL1) View Subject | View Object

Identified as a candidate susceptibility gene for AD by GWAS [116], reduced level of SORL1 has been consistently correlated with brain Aβ levels [118,119]. PubMed:29758300

path(MESH:"Alzheimer Disease") association p(HGNC:SORL1) View Subject | View Object

One intriguing molecule that interacts with VPS35 is SORL1, a VPS10P-domain receptor protein that has been linked to autosomal dominant early-onset AD [116,117]. PubMed:29758300

Out-Edges 4

p(HGNC:SORL1) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

Finally, the type I transmembrane protein SorLA/LR11 (a member of the VPS10p domain receptor fam- ily), which functionally interacts with cytosolic adaptors GGA and PACS-1, attenuates Aβ production by acting as a Golgi/ TGN retention factor (22). PubMed:18650430

p(HGNC:SORL1) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

Recently it was found that SorLA/ LR11 overexpression redistributed APP to the Golgi, decreasing Abeta generation, while SorLA/LR11 knockout mice have increased levels of Abeta, as found in AD patients [182] PubMed:21214928

p(HGNC:SORL1) association path(MESH:"Alzheimer Disease") View Subject | View Object

One intriguing molecule that interacts with VPS35 is SORL1, a VPS10P-domain receptor protein that has been linked to autosomal dominant early-onset AD [116,117]. PubMed:29758300

p(HGNC:SORL1) negativeCorrelation a(CHEBI:"amyloid-beta") View Subject | View Object

Identified as a candidate susceptibility gene for AD by GWAS [116], reduced level of SORL1 has been consistently correlated with brain Aβ levels [118,119]. PubMed:29758300

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.