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 Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0||27%|
|Extracellular Monomeric and Aggregated Tau Efficiently Enter Human Neurons through Overlapping but Distinct Pathways v1.0.1||21%|
|Tau oligomers-Cytotoxicity, propagation, and mitochondrial damage v1.0.0||14%|
|Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0||12%|
|Tau in physiology and pathology v1.0.0||11%|
|Imbalances in the Hsp90 Chaperone Machinery: Implications for Tauopathies v1.0.0||11%|
|Tau oligomers and tau toxicity in neurodegenerative disease v1.0.0||11%|
|Tau clearance mechanisms and their possible role in the pathogenesis of Alzheimer disease v1.0.0||11%|
|Analysis of Isoform-specific Tau Aggregates Suggests a Common Toxic Mechanism Involving Similar Pathological Conformations and Axonal Transport Inhibition v1.0.1||11%|
|Protein aggregation can inhibit clathrin-mediated endocytosis by chaperone competition v1.0.0||8%|
Likewise, addition of 2-O-desulfated heparin was able to reduce uptake, whereas 6-O-desulfated heparin or chondroitin sulfate (negative control) were significantly less effective at reducing uptake (Fig. 4a)
Chondroitin sulfate and 6-O-desulfated heparin incubation did not reduce the median fluorescence, verifying that 6-O-sulfation is also important for tau internalization ex vivo (Fig. 4d and Supplementary Fig. 3b)
Treatment of cells with an inhibitor for DNM2, Dynasore, was also able to reduce uptake of tau (Supplementary Fig. 2 f)
We found that internalization of tau can be efficiently competed by the presence of heparin or HS in the media (Fig. 4a)
Consistent with our previous results, incubation with heparin, heparan sulfate, or 2-O-desulfated heparin reduced uptake of tau as quantified by the median 488 fluorescence intensity (Fig. 4d)
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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.