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p(HGNC:USP9X)

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Entity

Name
USP9X
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

Tau interactome mapping based identification of Otub1 as Tau deubiquitinase involved in accumulation of pathological Tau forms in vitro and in vivo v1.0.0

In-Edges 1

complex(p(HGNC:MAPT), p(HGNC:USP9X)) hasComponent p(HGNC:USP9X) View Subject | View Object

Appears in Networks:

Out-Edges 3

p(HGNC:USP9X) decreases p(HGNC:MAPT, pmod(Ub)) View Subject | View Object

We focused particularly on Tau deubiquitination and identified three major candidate deubiquitinating enzymes, including Otub1, USP5, and USP9x, with Otub1 as the strongest Tau interactor according to statistical analysis PubMed:28083634

Appears in Networks:

p(HGNC:USP9X) increases complex(p(HGNC:MAPT), p(HGNC:USP9X)) View Subject | View Object

We focused particularly on Tau deubiquitination and identified three major candidate deubiquitinating enzymes, including Otub1, USP5, and USP9x, with Otub1 as the strongest Tau interactor according to statistical analysis PubMed:28083634

Appears in Networks:

p(HGNC:USP9X) causesNoChange a(HBP:"Tau aggregates") View Subject | View Object

Expression of the candidate deubiquitinases Otub1, USP5, and USP9x in this assay demonstrated significantly increased Tau aggregation following expression of Otub1 (Fig. 2a; Fig. S3), not observed following expression of USP5 or USP9x (Fig. S3). PubMed:28083634

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.