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Appears in Networks 1

M1 muscarinic acetylcholine receptor in Alzheimer’s disease v1.0.0

This file encodes the article M1 muscarinic acetylcholine receptor in Alzheimer’s disease by Jiang et al, 2014

In-Edges 1

a(CHEBI:"amyloid-beta") decreases complex(p(FPLX:"G_protein"), p(HGNC:CHRM1)) View Subject | View Object

In fact, Abeta has been shown to induce the uncoupling of M1 mAChR from G-protein, antagonizing the function of M1 mAChR under the pathological conditions of AD[96, 97]. Such an uncoupling may result in decreased signal transduction, reduced levels of sAPPalpha, and increased production of Abeta, triggering a vicious cycle. PubMed:24590577

Out-Edges 5

complex(p(FPLX:"G_protein"), p(HGNC:CHRM1)) increases a(HBP:"sAPP-alpha") View Subject | View Object

In fact, Abeta has been shown to induce the uncoupling of M1 mAChR from G-protein, antagonizing the function of M1 mAChR under the pathological conditions of AD[96, 97]. Such an uncoupling may result in decreased signal transduction, reduced levels of sAPPalpha, and increased production of Abeta, triggering a vicious cycle. PubMed:24590577

complex(p(FPLX:"G_protein"), p(HGNC:CHRM1)) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

In fact, Abeta has been shown to induce the uncoupling of M1 mAChR from G-protein, antagonizing the function of M1 mAChR under the pathological conditions of AD[96, 97]. Such an uncoupling may result in decreased signal transduction, reduced levels of sAPPalpha, and increased production of Abeta, triggering a vicious cycle. PubMed:24590577

complex(p(FPLX:"G_protein"), p(HGNC:CHRM1)) increases bp(GO:"signal transduction") View Subject | View Object

In fact, Abeta has been shown to induce the uncoupling of M1 mAChR from G-protein, antagonizing the function of M1 mAChR under the pathological conditions of AD[96, 97]. Such an uncoupling may result in decreased signal transduction, reduced levels of sAPPalpha, and increased production of Abeta, triggering a vicious cycle. PubMed:24590577

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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.