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Model systems of protein-misfolding diseases reveal chaperone modifiers of proteotoxicity 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:43:54.762628
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
46
Number Edges
78
Number Components
3
Network Density
0.0376811594202899
Average Degree
1.69565217391304
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
The Biology of Proteostasis in Aging and Disease v1.0.0 33%
A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. v1.0.0 31%
Molecular Chaperone Functions in Protein Folding and Proteostasis v1.0.0 30%
The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg v1.0.0 28%
Molecular chaperones and proteostasis regulation during redox imbalance v1.0.0 24%
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing v1.0.0 20%
Molecular chaperones and regulation of tau quality control: strategies for drug discovery in tauopathies v1.0.0 20%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 18%
Imbalances in the Hsp90 Chaperone Machinery: Implications for Tauopathies v1.0.0 17%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 17%

Sample Edges

p(HGNC:SNCA) hasVariant p(HGNC:SNCA, var("?")) View Subject | View Object

p(HGNC:AR) hasVariant p(HGNC:AR, var("?")) View Subject | View Object

p(HGNC:ATXN3) hasVariant p(HGNC:ATXN3, var("?")) View Subject | View Object

a(HBP:"amyloid-beta aggregates") association p(HGNC:HSPB1) View Subject | View Object

The importance of sHSPs in disease was originally noted from the observations that HSPB1 and CRYAB were overexpressed in AD brains (Shinohara et al., 1993; Renkawek et al., 1994a,b) and HSPB1, CRYAB, HSPB6 and HSPB8 were associated with AD plaques (Shao et al., 2012). PubMed:27491084

a(HBP:"amyloid-beta aggregates") association p(HGNC:CRYAB) View Subject | View Object

The importance of sHSPs in disease was originally noted from the observations that HSPB1 and CRYAB were overexpressed in AD brains (Shinohara et al., 1993; Renkawek et al., 1994a,b) and HSPB1, CRYAB, HSPB6 and HSPB8 were associated with AD plaques (Shao et al., 2012). PubMed:27491084

Sample Nodes

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

bp(MESH:Aging)

In-Edges: 10 | Out-Edges: 65 | Explore Neighborhood | Download JSON

a(HBP:"amyloid-beta aggregates")

In-Edges: 22 | Out-Edges: 19 | Explore Neighborhood | Download JSON

a(CHEBI:ATP)

In-Edges: 20 | Out-Edges: 18 | 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.