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Entity

Name
Glycogen Synthase Kinase 3
Namespace
mesh
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/mesh-names.belns

Appears in Networks 1

In-Edges 3

p(HBP:"6D tau", frag("2_18")) decreases act(p(MESH:"Glycogen Synthase Kinase 3")) View Subject | View Object

A trend of elevated GSK3 activity (􏰈32%) relative to PKC activity ( p 􏰄 0.28, paired t test; n 􏰄 3) was observed for axoplasms incubated with the PAD peptide (mean 􏰄 4.9 􏰉 2.5), compared with those incubated with scram- bled peptide (mean 􏰄 3.7 􏰉 1.7), which supports the results from vesicle motility assays. PubMed:21734277

p(HBP:"6D tau", frag("2_18")) decreases act(p(MESH:"Glycogen Synthase Kinase 3")) View Subject | View Object

Collectively, these data indicate that PAD is both necessary and sufficient to inhibit an- terograde FAT by activating the PP1–GSK3 cascade. PubMed:21734277

p(HBP:"6D tau") increases act(p(MESH:"Glycogen Synthase Kinase 3")) View Subject | View Object

Together, these data demonstrate that, as posited for aggregated tau (LaPointe et al., 2009), short N-terminal isoforms of tau inhibit anterograde FAT by a mech- anism involving activation of PP1 and GSK3 that is independent of microtubule binding. PubMed:21734277

Out-Edges 1

act(p(MESH:"Glycogen Synthase Kinase 3")) decreases bp(GO:"anterograde axonal protein transport") View Subject | View Object

Together, these data demonstrate that, as posited for aggregated tau (LaPointe et al., 2009), short N-terminal isoforms of tau inhibit anterograde FAT by a mech- anism involving activation of PP1 and GSK3 that is independent of microtubule binding. PubMed:21734277

About

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.