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complex(a(CHEBI:acetylcysteine), a(CHEBI:heme))

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Components

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 0

Out-Edges 6

complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) hasComponent a(CHEBI:heme) View Subject | View Object

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complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) hasComponent a(CHEBI:acetylcysteine) View Subject | View Object

Appears in Networks:

complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) decreases p(MGI:Hmox1) View Subject | View Object

In parallel to ferroportin, the expression of Hmox-1 was increased by heme-triggered ROS production and its induction was prevented by the combined treatment with NAC and heme (Fig. 8B). PubMed:29212341

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Cell Ontology (CL)
macrophage
Text Location
Results

complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) decreases p(MGI:Hmox1) View Subject | View Object

Similarly, the induction of Hmox1 by heme was abolished by cotreatment with NAC and heme, supporting our in vitro findings (Fig. 8D). PubMed:29212341

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Annotations
Cell Ontology (CL)
macrophage
Text Location
Results

complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) decreases r(MGI:Slc40a1) View Subject | View Object

We showed that increase in ferroportin mRNA and protein expression by heme was effectively prevented in mice receiving combined treatment of NAC and heme (Fig. 8D, E). PubMed:29212341

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
Text Location
Results

complex(a(CHEBI:acetylcysteine), a(CHEBI:heme)) decreases p(MGI:Slc40a1) View Subject | View Object

We showed that increase in ferroportin mRNA and protein expression by heme was effectively prevented in mice receiving combined treatment of NAC and heme (Fig. 8D, E). PubMed:29212341

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
Text Location
Results

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.