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Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

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a(CHEBI:heme) increases p(MGI:Spic) View Subject | View Object

Heme-induced Spic expression was confirmed by reverse transcription PCR and was dose-dependent (Figure 2C). PubMed:24630724

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a(CHEBI:heme) increases p(MGI:Spic) View Subject | View Object

In addition, Spic was induced as expected, as was Treml4, which can be used as a marker for RPM (Figure 5A). PubMed:24630724

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bp(HP:macrophage) positiveCorrelation p(MGI:Spic) View Subject | View Object

Here we showed that Bach1 was a transcriptional repressor of Spic and that heme-induced proteasome-dependent degradation of BACH1 protein in monocytes led to Spic expression and promoted RPM and BMM development (Figure 7F). PubMed:24630724

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splenic red pulp macrophage
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p(MGI:Bach1) decreases p(MGI:Spic) View Subject | View Object

Notably, heme mediated induction of SPIC-EGFP+ BMDM was significantly reduced with Bach1 overexpression suggesting that Bach1 may inhibit Spic expression (Figure 5C). PubMed:24630724

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p(MGI:Bach1) decreases p(MGI:Spic) View Subject | View Object

Here we showed that Bach1 was a transcriptional repressor of Spic and that heme-induced proteasome-dependent degradation of BACH1 protein in monocytes led to Spic expression and promoted RPM and BMM development (Figure 7F). PubMed:24630724

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deg(p(MGI:Bach1)) increases p(MGI:Spic) View Subject | View Object

Here we showed that Bach1 was a transcriptional repressor of Spic and that heme-induced proteasome-dependent degradation of BACH1 protein in monocytes led to Spic expression and promoted RPM and BMM development (Figure 7F). PubMed:24630724

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p(MGI:Spic) positiveCorrelation bp(HP:macrophage) View Subject | View Object

Here we showed that Bach1 was a transcriptional repressor of Spic and that heme-induced proteasome-dependent degradation of BACH1 protein in monocytes led to Spic expression and promoted RPM and BMM development (Figure 7F). PubMed:24630724

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splenic red pulp macrophage
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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.