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p(HGNC:EXT2)

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Entity

Name
EXT2
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

Tau Internalization is Regulated by 6-O Sulfation on Heparan Sulfate Proteoglycans (HSPGs) v1.0.1

In-Edges 1

bp(GO:"heparan sulfate proteoglycan biosynthetic process") association p(HGNC:EXT2) View Subject | View Object

These single gene knockdowns repressed uptake of tau monomer by over 50% (Fig. 2b) and also reduced the uptake of tau oligomers (Fig. 2c) PubMed:29686391

Appears in Networks:

Out-Edges 4

p(HGNC:EXT2) association bp(GO:"heparan sulfate proteoglycan biosynthetic process") View Subject | View Object

These single gene knockdowns repressed uptake of tau monomer by over 50% (Fig. 2b) and also reduced the uptake of tau oligomers (Fig. 2c) PubMed:29686391

Appears in Networks:

p(HGNC:EXT2) increases tloc(a(HBP:"Tau isoform F (441 aa)"), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

These single gene knockdowns repressed uptake of tau monomer by over 50% (Fig. 2b) and also reduced the uptake of tau oligomers (Fig. 2c) PubMed:29686391

Appears in Networks:

p(HGNC:EXT2) increases tloc(a(HBP:"Tau isoform F (441 aa)"), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

Further, these gene knockdowns were sufficient to reduce the uptake of tau in iPS-derived neurons (Fig. 2d) PubMed:29686391

Appears in Networks:
Annotations
MeSH
Neurons

p(HGNC:EXT2) increases tloc(a(HBP:"Tau oligomers"), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

These single gene knockdowns repressed uptake of tau monomer by over 50% (Fig. 2b) and also reduced the uptake of tau oligomers (Fig. 2c) PubMed:29686391

Appears in Networks:

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.