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a(MESH:"Lipid Peroxides")

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Entity

Name
Lipid Peroxides
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

a(CHEBI:heme) positiveCorrelation a(MESH:"Lipid Peroxides") View Subject | View Object

Accordingly, higher levels of lipid peroxide-protein adducts were detected in heme-treated Hmox1 (− /−) than in Hmox1 (+/+) MEF cells when the cells were heme exposed in the presence of an alkyne-tagged analog of linoleic acid, which is an unsaturated, heme-reactive fatty acid (Supplementary Figure 3). PubMed:25301065

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p(MGI:Hmox1) negativeCorrelation a(MESH:"Lipid Peroxides") View Subject | View Object

Accordingly, higher levels of lipid peroxide-protein adducts were detected in heme-treated Hmox1 (− /−) than in Hmox1 (+/+) MEF cells when the cells were heme exposed in the presence of an alkyne-tagged analog of linoleic acid, which is an unsaturated, heme-reactive fatty acid (Supplementary Figure 3). PubMed:25301065

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Out-Edges 2

a(MESH:"Lipid Peroxides") positiveCorrelation a(CHEBI:heme) View Subject | View Object

Accordingly, higher levels of lipid peroxide-protein adducts were detected in heme-treated Hmox1 (− /−) than in Hmox1 (+/+) MEF cells when the cells were heme exposed in the presence of an alkyne-tagged analog of linoleic acid, which is an unsaturated, heme-reactive fatty acid (Supplementary Figure 3). PubMed:25301065

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Text Location
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a(MESH:"Lipid Peroxides") negativeCorrelation p(MGI:Hmox1) View Subject | View Object

Accordingly, higher levels of lipid peroxide-protein adducts were detected in heme-treated Hmox1 (− /−) than in Hmox1 (+/+) MEF cells when the cells were heme exposed in the presence of an alkyne-tagged analog of linoleic acid, which is an unsaturated, heme-reactive fatty acid (Supplementary Figure 3). PubMed:25301065

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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.