1. Catalog
  2. Networks
  3. Screening of a neuronal cell model of Tau pathology for therapeutic compounds v1.0.0

Screening of a neuronal cell model of Tau pathology for therapeutic compounds 1.0.0

Compilation Biogrammar
Explore Query

Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:10.440849
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
62
Number Edges
105
Number Components
1
Network Density
0.0277630883130619
Average Degree
1.69354838709677
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 16%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 12%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 12%
Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0 9%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 9%
Tau in physiology and pathology v1.0.0 8%
Identification of the Tau phosphorylation pattern that drives its aggregation v1.0.0 8%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 7%
Tau oligomers and tau toxicity in neurodegenerative disease v1.0.0 7%
Anatabine ameliorates experimental autoimmune thyroiditis. v1.0.0 7%

Sample Edges

a(HBP:"Tau aggregates") increases bp(GO:"cell killing") View Subject | View Object

As shown before, Tau aggregation (on the level of oligomeric and/or fibril aggregates) is toxic for cells. PubMed:30640040

a(PUBCHEM:10341154) decreases a(HBP:"Tau aggregates") View Subject | View Object

Tab. 1A-B: Summary of the Tau aggregation modulators (inhibitors = 18 (A), stimulators = 10 (B)) which show decrease / increase in the amount of ThS + cells without affecting the expression level of TauRD∆K compared to the compound untreated control. PubMed:30640040

a(PUBCHEM:10341154) association p(HGNC:MAPK14) View Subject | View Object

Tab. 1A-B: Summary of the Tau aggregation modulators (inhibitors = 18 (A), stimulators = 10 (B)) which show decrease / increase in the amount of ThS + cells without affecting the expression level of TauRD∆K compared to the compound untreated control. PubMed:30640040

a(PUBCHEM:10435235) decreases a(HBP:"Tau aggregates") View Subject | View Object

Tab. 1A-B: Summary of the Tau aggregation modulators (inhibitors = 18 (A), stimulators = 10 (B)) which show decrease / increase in the amount of ThS + cells without affecting the expression level of TauRD∆K compared to the compound untreated control. PubMed:30640040

a(PUBCHEM:10435235) decreases act(p(FPLX:"Gamma_secretase")) View Subject | View Object

Tab. 1A-B: Summary of the Tau aggregation modulators (inhibitors = 18 (A), stimulators = 10 (B)) which show decrease / increase in the amount of ThS + cells without affecting the expression level of TauRD∆K compared to the compound untreated control. PubMed:30640040

Sample Nodes

p(HGNC:EGFR)

In-Edges: 3 | Out-Edges: 3 | Explore Neighborhood | Download JSON

p(HGNC:GSK3B)

In-Edges: 72 | Out-Edges: 103 | Classes: 2 | Explore Neighborhood | Download JSON

p(HGNC:FYN)

In-Edges: 22 | Out-Edges: 23 | Explore Neighborhood | Download JSON

p(HGNC:MAPK14)

In-Edges: 13 | Out-Edges: 10 | Explore Neighborhood | Download JSON

p(FPLX:NFkappaB)

In-Edges: 82 | Out-Edges: 37 | 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.