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Appears in Networks 1

In-Edges 2

path(MESH:"Alzheimer Disease") positiveCorrelation p(HGNC:BIN1) View Subject | View Object

Higher expression of BIN1 has been reported in AD brains, and suppression of BIN1 reduces tau toxicity, suggesting BIN1 involvement in tau pathology, as well [104]. PubMed:29758300

path(MESH:Tauopathies) positiveCorrelation p(HGNC:BIN1) View Subject | View Object

Higher expression of BIN1 has been reported in AD brains, and suppression of BIN1 reduces tau toxicity, suggesting BIN1 involvement in tau pathology, as well [104]. PubMed:29758300

Out-Edges 6

p(HGNC:BIN1) increases bp(GO:endocytosis) View Subject | View Object

BIN1 is involved in the endocytosis and the endosomal sorting of membrane proteins PubMed:29758300

p(HGNC:BIN1) increases bp(GO:"amyloid precursor protein metabolic process") View Subject | View Object

Similar to PICALM, BIN1, due to its role in endocytosis and trafficking, is implicated in APP metabolism [103]. PubMed:29758300

p(HGNC:BIN1) increases bp(GO:autophagy) View Subject | View Object

Suppression of BIN1 disrupts cellular trafficking of BACE1 and reduces BACE1 lysosomal degradation, leading to increased Aβ production [103]. PubMed:29758300

p(HGNC:BIN1) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

Suppression of BIN1 disrupts cellular trafficking of BACE1 and reduces BACE1 lysosomal degradation, leading to increased Aβ production [103]. PubMed:29758300

p(HGNC:BIN1) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

Higher expression of BIN1 has been reported in AD brains, and suppression of BIN1 reduces tau toxicity, suggesting BIN1 involvement in tau pathology, as well [104]. PubMed:29758300

p(HGNC:BIN1) positiveCorrelation path(MESH:Tauopathies) View Subject | View Object

Higher expression of BIN1 has been reported in AD brains, and suppression of BIN1 reduces tau toxicity, suggesting BIN1 involvement in tau pathology, as well [104]. 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.