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

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). PubMed:27373205

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

In contrast, aggregation of either hT40 or S422E significantly increased the amount of SDS-stable dimers at 180 kDa (Fig. 4C; F(1,12) = 110.0; p b 0.0001), as compared to the levels of these species in the respective monomer samples. Furthermore, S422E aggregation significantly increased the amount of SDS-stable dimers compared to hT40 aggregation (p = 0.03). PubMed:27373205

composite(a(HBP:"Tau aggregates"), 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

composite(a(HBP:"Tau aggregates"), p(HGNC:MAPT, var("p.S422E"))) decreases 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.