Name
Cytoplasm
Namespace Keyword
MeSHAnatomy
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-anatomy/mesh-anatomy-20170511.belanno

Sample Annotated Edges 5

a(MESH:"Cholinergic Neurons") increases a(CHEBI:acetylcholine) View Subject | View Object

ACh synthesis takes place in the cytoplasm of cholinergic neurons PubMed:26813123

p(HBP:"Tau isoform B (381 aa)", pmod(HBP:"protein aggregation")) decreases bp(GO:"anterograde axonal transport") View Subject | View Object

Similarly, perfusion of squid axoplasms with hT39, hT37 and hT23 aggregates significantly impaired anterograde FAT (Fig. 4A) when compared to the respective monomers (all at 2 μM) PubMed:27574109

p(HBP:"Tau isoform C (410 aa)", pmod(HBP:"protein aggregation")) decreases bp(GO:"anterograde axonal transport") View Subject | View Object

Similarly, perfusion of squid axoplasms with hT39, hT37 and hT23 aggregates significantly impaired anterograde FAT (Fig. 4A) when compared to the respective monomers (all at 2 μM) PubMed:27574109

p(HBP:"Tau isoform D (383 aa)", pmod(HBP:"protein aggregation")) decreases bp(GO:"anterograde axonal transport") View Subject | View Object

Perfusion of hT40, hT34 and hT24 aggregates into squid axoplasms significantly impaired anterograde transport (Fig. 4A) when compared to the respective monomers (all at 2 μM). PubMed:27574109

p(HBP:"Tau isoform E (412 aa)", pmod(HBP:"protein aggregation")) decreases bp(GO:"anterograde axonal transport") View Subject | View Object

Perfusion of hT40, hT34 and hT24 aggregates into squid axoplasms significantly impaired anterograde transport (Fig. 4A) when compared to the respective monomers (all at 2 μM). PubMed:27574109

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.