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Analysis of Isoform-specific Tau Aggregates Suggests a Common Toxic Mechanism Involving Similar Pathological Conformations and Axonal Transport Inhibition 1.0.1

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:04.753331
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
38
Number Edges
191
Number Components
1
Network Density
0.135846372688478
Average Degree
5.02631578947368
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 39%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 36%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 27%
Tau Biochemistry v1.2.5 26%
Tau in physiology and pathology v1.0.0 24%
Caenorhabditis elegans models of tauopathy v1.0.0 24%
Imbalances in the Hsp90 Chaperone Machinery: Implications for Tauopathies v1.0.0 18%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 18%

Sample Edges

a(GO:"Pick body") association a(HBP:"Tau oligomers") View Subject | View Object

Similarly, the characteristic Pick bodies in the frontal cortex were well labeled by TNT1, TOC1 and R1 in PiD tissue (Fig. 5M–P) PubMed:27574109

Annotations
MeSH
Frontal Lobe
MeSH
Pick Disease of the Brain

a(GO:"Pick body") association a(HBP:"phosphatase-activating domain") View Subject | View Object

Similarly, the characteristic Pick bodies in the frontal cortex were well labeled by TNT1, TOC1 and R1 in PiD tissue (Fig. 5M–P) PubMed:27574109

Annotations
MeSH
Frontal Lobe
MeSH
Pick Disease of the Brain

a(GO:"Pick body") association p(HGNC:MAPT) View Subject | View Object

Similarly, the characteristic Pick bodies in the frontal cortex were well labeled by TNT1, TOC1 and R1 in PiD tissue (Fig. 5M–P) PubMed:27574109

Annotations
MeSH
Frontal Lobe
MeSH
Pick Disease of the Brain

a(HBP:"3R tau") positiveCorrelation path(MESH:"Protein Aggregation, Pathological") View Subject | View Object

Right angle laser light scattering showed significantly greater scattered light intensity in all 4R tau isoforms when compared to 3R isoforms (one-way ANOVA with Holm-Sidak post-hoc, F(5, 18) = 60.22, p < 0.0001; Fig. 2A) PubMed:27574109

a(HBP:"3R tau") positiveCorrelation path(MESH:"Protein Aggregation, Pathological") View Subject | View Object

Similar results were seen in the ThS assay, where the 4R isoforms were significantly higher than 3R isoforms (one-way ANOVA with Holm-Sidak post-hoc, F(5, 18) = 19.99, p < 0.0001; Fig. 2B), and no differences were found in comparisons between the individual 4R isoforms or between the 3R isoforms PubMed:27574109

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

a(MESH:"Neurofibrillary Tangles")

In-Edges: 14 | Out-Edges: 12 | Explore Neighborhood | Download JSON

a(HBP:"Tau aggregates")

In-Edges: 224 | Out-Edges: 71 | Children: 3 | Explore Neighborhood | Download JSON

a(HBP:"3R tau")

In-Edges: 7 | Out-Edges: 5 | 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.