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Interplay of pathogenic forms of human tau with different autophagic pathways 1.0.1

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:00.269362
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
60
Number Edges
141
Number Components
1
Network Density
0.0398305084745763
Average Degree
2.35
Number Citations
1
Number BEL Errors
0

Content Statistics

Network Overlap

The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.

Network Overlap
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
Extracellular Monomeric and Aggregated Tau Efficiently Enter Human Neurons through Overlapping but Distinct Pathways v1.0.1 21%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 20%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 20%
Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0 20%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 18%
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing v1.0.0 18%
Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0 18%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 18%

Sample Edges

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, var("p.Ala152Thr")) View Subject | View Object

a(CHEBI:paraquat) increases bp(GO:"response to oxidative stress") View Subject | View Object

Cells expressing WT tau behave as control cells and display a dose-dependent increase in CMA activity upon exposure to paraquat (Fig. 3f) or thapsigargin (Fig. 3g) PubMed:29024336

Annotations
MeSH
Intracellular Space
Confidence
High
MeSH
Brain

a(CHEBI:thapsigargin) increases bp(GO:"response to endoplasmic reticulum stress") View Subject | View Object

Cells expressing WT tau behave as control cells and display a dose-dependent increase in CMA activity upon exposure to paraquat (Fig. 3f) or thapsigargin (Fig. 3g) PubMed:29024336

Annotations
MeSH
Intracellular Space
Confidence
High
MeSH
Brain

a(GO:"late endosome") increases deg(p(MGI:Mapt)) View Subject | View Object

We found that WT tau was taken up and efficiently degraded by LE (Fig. 2c,d) PubMed:29024336

Annotations
Confidence
High
MeSH
Brain

a(GO:"late endosome") decreases deg(p(MGI:Mapt, var("p.Pro301Leu"))) View Subject | View Object

This process was significantly impaired for tau-P301L and, to higher extent, for tau- A152T (Fig. 2c,d) PubMed:29024336

Annotations
Confidence
High
MeSH
Brain

Sample Nodes

bp(GO:"response to oxidative stress")

In-Edges: 15 | Out-Edges: 12 | Explore Neighborhood | Download JSON

bp(GO:aging)

In-Edges: 27 | Out-Edges: 61 | Explore Neighborhood | Download JSON

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | Explore Neighborhood | Download JSON

path(MESH:"Huntington Disease")

In-Edges: 24 | Out-Edges: 40 | Explore Neighborhood | Download JSON

path(MESH:"Parkinson Disease")

In-Edges: 68 | Out-Edges: 53 | Explore Neighborhood | Download JSON

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.