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Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:11:57.151288
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
6
Number Edges
11
Number Components
1
Network Density
0.366666666666667
Average Degree
1.83333333333333
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
Tau Modifications v1.9.5 67%
Inflammasome Involvement in Alzheimer’s Disease v1.0.0 50%
Tau in physiology and pathology v1.0.0 50%
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 50%
Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System v1.0.0 50%
Alzheimer's Disease: Targeting the Cholinergic System v1.0.0 50%
Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications v1.0.0 50%
The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg v1.0.0 50%
Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0 50%
Molecular chaperones and regulation of tau quality control: strategies for drug discovery in tauopathies v1.0.0 50%

Sample Edges

complex(GO:"neurofibrillary tangle") association p(HGNC:ESR1) View Subject | View Object

In the hippocampal and cortical tissues of all AD cases examined, neuronal staining for ERα was a prominent finding, both with a weak cytoplasmic stain, but often specifically with a fibrillar appearance suggesting ERα was in neurofibrillary tangles (Fig. 1A), also shown at a higher magnification (Fig. 1B). PubMed:26837465

Annotations
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Hippocampus

complex(GO:"neurofibrillary tangle") association p(HGNC:ESR1) View Subject | View Object

To confirm the localization of ERα in NFTs, double fluorescence staining with antibodies to ERα and hyperphosphorylated tau (PHF-1) revealed that ERα -positive NFTs were also positive for PHF-1 (Fig. 2A–F). PubMed:26837465

Annotations
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Hippocampus

complex(p(HGNC:ESR1), p(HGNC:MAPT)) hasComponent p(HGNC:ESR1) View Subject | View Object

complex(p(HGNC:ESR1), p(HGNC:MAPT)) hasComponent p(HGNC:MAPT) View Subject | View Object

p(HGNC:ESR1) association complex(GO:"neurofibrillary tangle") View Subject | View Object

In the hippocampal and cortical tissues of all AD cases examined, neuronal staining for ERα was a prominent finding, both with a weak cytoplasmic stain, but often specifically with a fibrillar appearance suggesting ERα was in neurofibrillary tangles (Fig. 1A), also shown at a higher magnification (Fig. 1B). PubMed:26837465

Annotations
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Hippocampus

Sample Nodes

path(MESH:"Alzheimer Disease")

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

p(HGNC:MAPT)

In-Edges: 477 | Out-Edges: 480 | Classes: 11 | Children: 27 | Explore Neighborhood | Download JSON

complex(GO:"neurofibrillary tangle")

In-Edges: 15 | Out-Edges: 7 | Explore Neighborhood | Download JSON

complex(p(HGNC:ESR1), p(HGNC:MAPT))

In-Edges: 1 | Out-Edges: 2 | Explore Neighborhood | Download JSON

p(HGNC:ESR1)

In-Edges: 5 | Out-Edges: 3 | 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.