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p(HGNC:MAPT, var("p.S422E")) increases a(HBP:"Tau aggregates") View Subject | View Object

However, the rate of polymerization (kapparent) did not differ between hT40 tau and S422E tau. At 360 min, a similar intensity of light scattering was observed for hT40 (122.5 ± 1.2) and S422E tau (134.5±1.7) indicating that the extent of aggregate formation was comparable between these two proteins. ThS fluorescence, measured at 360min, alsowas comparable between hT40 aggregates (946.4 ± 73.8) and S422E aggregates (927.9 ± 63.7). PubMed:27373205

p(HGNC:MAPT, var("p.S422E")) increases a(HBP:"Tau oligomers") View Subject | View Object

For both tau constructs, there were significantly more oligomer-type aggregates than short or long filaments formed, but no significant difference between the numbers of short or long filament (Fig. 2E; F(2,12) = 86.64, p b 0.0001). S422E did not differ significantly from hT40 in the number of oligomers, short filaments, or long filaments formed (F(1,12) = 0.05, p = 0.83). PubMed:27373205

p(HGNC:MAPT, var("p.S422E")) decreases bp(GO:"anterograde axonal protein transport") View Subject | View Object

In contrast to hT40 monomer, perfusion of S422E monomer selectively inhibited anterograde transport (Fig. 5C; Fig. 6A; p = 0.028), but not retrograde FAT. Surprisingly, aggregated S422E significantly inhibited both anterograde and retrograde FAT rates (Fig. 5D; Fig. 6A, B) compared to S422E monomer (anterograde, p = 0.012; retrograde, p = 0.002) and hT40 aggregates (retrograde only, p = 0.019). PubMed:27373205

p(HGNC:MAPT, var("p.S422E")) causesNoChange bp(GO:"retrograde axonal protein transport") View Subject | View Object

In contrast to hT40 monomer, perfusion of S422E monomer selectively inhibited anterograde transport (Fig. 5C; Fig. 6A; p = 0.028), but not retrograde FAT. Surprisingly, aggregated S422E significantly inhibited both anterograde and retrograde FAT rates (Fig. 5D; Fig. 6A, B) compared to S422E monomer (anterograde, p = 0.012; retrograde, p = 0.002) and hT40 aggregates (retrograde only, p = 0.019). PubMed:27373205

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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.