1. Catalog
  2. Nodes
  3. complex(SCOMP:"MHC Class II Complex")

complex(SCOMP:"MHC Class II Complex")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
MHC Class II Complex
Namespace
SCOMP
Namespace Version
20170725
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/selventa-named-complexes/selventa-named-complexes-20170725.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 6

a(CHEBI:"N-acetyl-L-cysteine") decreases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

Similarly, NAC prevented increased expression of MHCII, CD14, TNFα, IL-6, IL-1β, and CD86 and mildly compensated for the decrease of CD206 and IL-10 following heme treatment (Figure 4D; supplemental Figure 5). PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Spleen
MeSH
Anemia, Sickle Cell
Text Location
Results

a(CHEBI:heme) increases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

Likewise, heme and FeNTA treatment causes the induction of the M1 markers MHCII, CD86, CD14, TNFα, IL-6, and IL1β and a decrease in the M2 markers CD206, IL-10, and Arginase-1 (the last with FeNTA only) in M0 BMDMs (Figure 3A; supplemental Figures 5, 6A, and 7). PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Liver
MeSH
Anemia, Sickle Cell
Text Location
Results

a(CHEBI:heme) increases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

Importantly, 15 hours after heme injection, hepatic macrophages showed iron deposition (data not shown) and an increased expression of the M1 markers MHCII and CD86 and reduced levels of the M2 markers CD206 and Arginase-1 compared with nontreated mice. PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Liver
MeSH
Anemia, Sickle Cell
Text Location
Results

a(MESH:"ethyl 6-(N-(2-chloro-4-fluorophenyl)sulfamoyl)cyclohex-1-ene-1-carboxylate") decreases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

In hepatic and splenic macrophages, cotreatment with NAC or TAK-242 reduced the heme-induced upregulation of the M1 markers MHCII and CD86 and attenuated inducible nitric oxide synthase (iNOS) expression. PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Spleen
MeSH
Anemia, Sickle Cell
Text Location
Results

complex(a(CHEBI:heme), a(MESH:"ethyl 6-(N-(2-chloro-4-fluorophenyl)sulfamoyl)cyclohex-1-ene-1-carboxylate")) decreases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

Cotreatment of M0 BMDMs with heme and TAK-242 attenuated the increase of the M1 markers MHCII, CD14, TNFα, IL-6, IL-1β, and CD86 and the decrease of the M2 marker CD206, IL-10, and Ym1 in comparison with heme treatment alone ( Figure 4A; supplemental Figures 5 and 12). PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Spleen
MeSH
Anemia, Sickle Cell
Text Location
Results

p(HGNC:HPX) decreases complex(SCOMP:"MHC Class II Complex") View Subject | View Object

In addition, Hx and DFO prevented the heme- and ironmediated induction of the M1 markers MHCII, CD86, CD14, and TNFα and the decrease of some M2 markers, such as CD206, IL-10, and Arginase-1 (the last for FeNTA only) in M0 BMDMs (Figure 6A; supplemental Figure 15A). PubMed:26675351

Appears in Networks:
Annotations
Cell Ontology (CL)
macrophage
MeSH
Liver
MeSH
Anemia, Sickle Cell
Text Location
Results

Out-Edges 0

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.