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||45%|
|Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0||40%|
|Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0||38%|
|Extracellular Monomeric and Aggregated Tau Efficiently Enter Human Neurons through Overlapping but Distinct Pathways v1.0.1||37%|
|Tau oligomers and tau toxicity in neurodegenerative disease v1.0.0||37%|
|Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0||33%|
|Inhibition of tau aggregation in a novel Caenorhabditis elegans model of tauopathy mitigates proteotoxicity v1.0.0||32%|
|Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0||30%|
|Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1||29%|
|Tau Modifications v1.9.5||29%|
Evidence shows that tau aggregates colocalize with dextran and HeLa cells, hinting that internalized aggregates are transported in endosomal vesicles and passed through the endosomal pathway to lysosomes (Wu et al., 2013)
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.