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.
|Tau oligomers and tau toxicity in neurodegenerative disease v1.0.0||40%|
|Alzheimer’s disease and the autophagic-lysosomal system v1.0.0||40%|
|Tau oligomers-Cytotoxicity, propagation, and mitochondrial damage v1.0.0||40%|
|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%|
|Tau in physiology and pathology v1.0.0||33%|
|Tau Modifications v1.9.5||33%|
|Caenorhabditis elegans models of tauopathy v1.0.0||33%|
|Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0||33%|
|Tau clearance mechanisms and their possible role in the pathogenesis of Alzheimer disease v1.0.0||33%|
The amount of total tau captured with pS422 (detected with the pan-tau antibody, Tau5) was significantly higher in AD compared to control (Fig. 7E; t10 = 6.07, p = 0.0001). The level of pS422 tau that also contained PAD exposed tau (i.e., TNT1 reactive) was significantly higher in AD compared to control (Fig. 7F; t10 = 2.31, p = 0.0435). Similarly, the level of pS422 tau that also contained an oligomeric conformation (i.e., TOC1 reactive) was significantly higher in AD compared to control (Fig. 7G; t10 = 1.51, p = 0.0029).
Compared to monomers, aggregation significantly increased PAD exposure for both hT40 and S422E samples (Fig. 3B; F(1,12) = 685.8, p b 0.0001), as indicated by increased TNT1 reactivity. Aggregation also significantly increased oligomer formation (TOC1 reactivity) compared to monomers in both hT40 and S422E samples (Fig. 3C; F(1,12) = 109.3, p b 0.0001).
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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.