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Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

p(HGNC:TLR4) increases p(HGNC:TICAM1) View Subject | View Object

The TLR4 activates two distinct pathways: MyD88 and TRIF. In macrophages, heme induces a biased MyD88 activation and the secretion of the pro-inflammatory cytokines TNF and KC. PubMed:24904418

Appears in Networks:
Annotations
Cell Ontology (CL)
leukocyte
MeSH
Liver
MeSH
Malaria
Text Location
Review

p(HGNC:TLR4) increases p(HGNC:TICAM1) View Subject | View Object

Only under protein-free conditions did we observe a limited heme-induced TNF-alpha response in cultured macrophages, which was triggered via signaling of the classical TLR4–MyD88–TRIF pathway of NF-kB activation.28 PubMed:29610666

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Mitochondria
Text Location
Discussion

Out-Edges 2

p(HGNC:TICAM1) increases act(p(HGNC:IRF3)) View Subject | View Object

The MyD88-dependent pathway leads to the activation of mitogen-activated protein kinases (MAPKs) and NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells) transcription factors inducing the expression of inflammatory cytokines such as TNF, IL-6, IL-1β, and KC (Takeuchi and Akira, 2010) PubMed:24904418

Appears in Networks:
Annotations
Cell Ontology (CL)
leukocyte
MeSH
Liver
MeSH
Malaria
Text Location
Review

p(HGNC:TICAM1) increases act(p(HGNC:NFKB1)) View Subject | View Object

Only under protein-free conditions did we observe a limited heme-induced TNF-alpha response in cultured macrophages, which was triggered via signaling of the classical TLR4–MyD88–TRIF pathway of NF-kB activation.28 PubMed:29610666

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Mitochondria
Text Location
Discussion

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.