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complex(p(HGNC:MAPT), p(HGNC:OTUB1))

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Components

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 2

p(HGNC:OTUB1) increases complex(p(HGNC:MAPT), p(HGNC:OTUB1)) 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:OTUB1) increases complex(p(HGNC:MAPT), p(HGNC:OTUB1)) View Subject | View Object

Since Otub1 interacts with Tau and promotes phosphorylated and aggregated Tau levels in primary neurons, we hypothesized that Otub1 could act as a Tau deubiquitinase, interfering with pathological Tau degradation and hence Tau aggregation. PubMed:28083634

Appears in Networks:

Out-Edges 4

complex(p(HGNC:MAPT), p(HGNC:OTUB1)) hasComponent p(HGNC:MAPT) View Subject | View Object

Appears in Networks:

complex(p(HGNC:MAPT), p(HGNC:OTUB1)) hasComponent p(HGNC:OTUB1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:MAPT), p(HGNC:OTUB1)) increases p(HGNC:MAPT, pmod(Ph)) View Subject | View Object

Since Otub1 interacts with Tau and promotes phosphorylated and aggregated Tau levels in primary neurons, we hypothesized that Otub1 could act as a Tau deubiquitinase, interfering with pathological Tau degradation and hence Tau aggregation. PubMed:28083634

Appears in Networks:

complex(p(HGNC:MAPT), p(HGNC:OTUB1)) increases a(HBP:"Tau aggregates") View Subject | View Object

Since Otub1 interacts with Tau and promotes phosphorylated and aggregated Tau levels in primary neurons, we hypothesized that Otub1 could act as a Tau deubiquitinase, interfering with pathological Tau degradation and hence Tau aggregation. 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.