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Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

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a(CHEBI:heme) decreases act(p(PFAM:Proteasome)) View Subject | View Object

Collectively, these data support that heme is an inhibitor of proteasome activity in different cell types and in a cell-free system. PubMed:25301065

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a(CHEBI:heme) decreases act(p(PFAM:Proteasome)) View Subject | View Object

In addition to this well-established role of heme as an oxidant, a novel and consistent finding of the present study is that excessive heme levels lead to dysfunctional cellular protein degradation by the proteasome. PubMed:25301065

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a(CHEBI:heme) decreases p(PFAM:Proteasome) View Subject | View Object

At high concentrations, heme can act as an endogenous inhibitor of the proteasome and as a trigger of the response to unfolded proteins in vitro.7 PubMed:26794659

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a(CHEBI:heme) positiveCorrelation act(p(PFAM:Proteasome)) View Subject | View Object

Cell-free heme selectively triggers pro-inflammatory receptors such as TLR-4 and BACH-1, and activates proteasomes25. PubMed:27515135

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bp(GO:"cellular homeostasis") positiveCorrelation act(p(PFAM:Proteasome)) View Subject | View Object

The proteasome is the principal pathway to remove senescent and damaged proteins, and intact proteasome function is essential to preserve and repair cellular homeostasis during oxidative stress, such as that triggered by heme exposure.27 PubMed:25301065

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act(p(PFAM:Proteasome)) positiveCorrelation bp(GO:"cellular homeostasis") View Subject | View Object

The proteasome is the principal pathway to remove senescent and damaged proteins, and intact proteasome function is essential to preserve and repair cellular homeostasis during oxidative stress, such as that triggered by heme exposure.27 PubMed:25301065

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act(p(PFAM:Proteasome)) positiveCorrelation a(CHEBI:heme) View Subject | View Object

Cell-free heme selectively triggers pro-inflammatory receptors such as TLR-4 and BACH-1, and activates proteasomes25. PubMed:27515135

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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.