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complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A))

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Components

Appears in Networks 2

Assembly and structure of protein phosphatase 2A v1.0.0

Protein phosphatase 2A dysfunction in Alzheimer’s disease v1.0.0

In-Edges 2

act(p(HGNC:PPP2R1A)) increases complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) View Subject | View Object

First, conformational flexibility of the scaffold subunit is required for binding to the catalytic subunit and possibly other interacting proteins such as the regulatory subunits. PubMed:19277525

Appears in Networks:

p(HGNC:PPP2R1A, pmod(Ph, Ser), pmod(Ph, Thr)) decreases complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) View Subject | View Object

A recent report also indicates the existence of regulated phosphorylation of the scaffolding A subunit on Ser/Thr residues, which affects its binding to the catalytic subunit and PP2A signaling in the heart (Kotlo et al.,2014). PubMed:24653673

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Annotations
MeSH
Heart

Out-Edges 4

complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) hasComponent p(HGNC:PPP2CA) View Subject | View Object

Appears in Networks:

complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) hasComponent p(HGNC:PPP2R1A) View Subject | View Object

Appears in Networks:

complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) decreases p(HGNC:MAPT, pmod(Ph)) View Subject | View Object

The specificity in this in vitro system is quite robust, as evidenced by the observation that the PP2A core enzyme exhibited a lower activity to dephosphorylate the Tau protein than the PP2A holoenzyme involving the B subunit, but a higher activity than the holoenzyme involving the B′ subunit PubMed:19277525

Appears in Networks:

complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A)) increases complex(p(HGNC:PPP2CA), p(HGNC:PPP2R1A), p(INTERPRO:"Protein phosphatase 2A regulatory subunit PR55")) View Subject | View Object

In fact, competition experiments using recombinant proteins suggested that, compared to the unmethylated form, the methylated PP2A core enzyme exhibited a higher binding affinity for the B subunit PubMed:19277525

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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.