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complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3))

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Components

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

a(CHEBI:heme) increases complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3)) View Subject | View Object

Consistently, the mRNA levels of Glutathione reductase (Gsr), -Glutamylcysteine synthetase (-Gcs) and thioredoxin reductase (Thiored red), anti-oxidant systems important in resistance of cardiac cell to oxidative damage [40, 41], were increased to a higher extent in CMs treated with either albumin heme or heme alone, compared to cells treated with Hx-heme (Figure 1F and see Figure 3 in [37]). PubMed:28400318

Appears in Networks:
Annotations
Cell Ontology (CL)
regular cardiac myocyte
Text Location
Results

p(MGI:Hpx) decreases complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3)) View Subject | View Object

Consistently, the mRNA levels of Glutathione reductase (Gsr), -Glutamylcysteine synthetase (-Gcs) and thioredoxin reductase (Thiored red), anti-oxidant systems important in resistance of cardiac cell to oxidative damage [40, 41], were increased to a higher extent in CMs treated with either albumin heme or heme alone, compared to cells treated with Hx-heme (Figure 1F and see Figure 3 in [37]). PubMed:28400318

Appears in Networks:
Annotations
Cell Ontology (CL)
regular cardiac myocyte
Text Location
Results

Out-Edges 3

complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3)) hasComponent r(MGI:Txnrd3) View Subject | View Object

Appears in Networks:

complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3)) hasComponent r(MGI:Txnrd1) View Subject | View Object

Appears in Networks:

complex(r(MGI:Txnrd1), r(MGI:Txnrd2), r(MGI:Txnrd3)) hasComponent r(MGI:Txnrd2) View Subject | View Object

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.