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Appears in Networks 1

APP processing in Alzheimer's disease v1.0.1

APP processing in Alzheimer's disease

In-Edges 3

a(MESH:"Receptors, N-Methyl-D-Aspartate") increases p(HBP:HBP00064) View Subject | View Object

There are reports showing that the protein and mRNA levels of KPI-containing APP isoforms are elevated in AD brain and associated with increased Ab deposition [9]; and prolonged activation of extrasynaptic NMDA receptor in neurons can shift APP expression from APP695 to KPI-containing APP isoforms, accompanied with increased production of Ab [10] PubMed:21214928

Annotations
Confidence
Medium

bp(HBP:HBP00077) increases p(HBP:HBP00064) View Subject | View Object

The APP gene is located on chromosome 21 in humans with three major isoforms arising from alternative splicing [3]. These are APP695, APP751 and APP770 (containing 695, 751, and 770 amino acids, respectively) PubMed:21214928

Annotations
Confidence
High

p(UNIPROT:A0A293M1A7) association p(HBP:HBP00064) View Subject | View Object

APP751 and APP770 are expressed in most tissues and contain a 56 amino acid Kunitz Protease Inhibitor (KPI) domain within their extracellular regions PubMed:21214928

Annotations
Confidence
High

Out-Edges 2

p(HBP:HBP00064) association p(UNIPROT:A0A293M1A7) View Subject | View Object

APP751 and APP770 are expressed in most tissues and contain a 56 amino acid Kunitz Protease Inhibitor (KPI) domain within their extracellular regions PubMed:21214928

Annotations
Confidence
High

p(HBP:HBP00064) increases path(MESH:"Plaque, Amyloid") View Subject | View Object

There are reports showing that the protein and mRNA levels of KPI-containing APP isoforms are elevated in AD brain and associated with increased Ab deposition [9]; and prolonged activation of extrasynaptic NMDA receptor in neurons can shift APP expression from APP695 to KPI-containing APP isoforms, accompanied with increased production of Ab [10] PubMed:21214928

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.