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a(MESH:Autophagosomes)

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Entity

Name
Autophagosomes
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 2

Tau clearance mechanisms and their possible role in the pathogenesis of Alzheimer disease v1.0.0

Tau degradation: the ubiquitin-proteasome system versus the autophagy-lysosome system. v1.0.0

In-Edges 2

a(HBP:"Tau aggregates") positiveCorrelation a(MESH:Autophagosomes) View Subject | View Object

Electron microscopic analysis of brain tissue from confirmed AD cases revealed that AVs accumulated in dystrophic neurites and correlated with the presence of filamentous tau (79). However, this correlation was not quantified (79).Similar results were observed in mouse models of AD. PubMed:24027553

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Review

path(MESH:"Alzheimer Disease") increases a(MESH:Autophagosomes) View Subject | View Object

Pathologically, the AD brains show both accumulated autophagosomes and autolysosomes, suggesting the basal autophagy process in neurons is abnormal in AD (Fig. 3A). PubMed:23528736

Appears in Networks:
Annotations
MeSH
Brain

Out-Edges 1

a(MESH:Autophagosomes) positiveCorrelation a(HBP:"Tau aggregates") View Subject | View Object

Electron microscopic analysis of brain tissue from confirmed AD cases revealed that AVs accumulated in dystrophic neurites and correlated with the presence of filamentous tau (79). However, this correlation was not quantified (79).Similar results were observed in mouse models of AD. PubMed:24027553

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Review

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.