Name
Placenta
Namespace Keyword
MeSHAnatomy
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-anatomy/mesh-anatomy-20170511.belanno

Sample Annotated Edges 5

bp(GO:"response to cytokine") association a(HBP:"alpha-7-containing nAChR") View Subject | View Object

alpha7 nAChRs are involved in the macrophage and placental cytokine response, which may be an additional role for genetic variants in these receptors in the pathogenesis of schizophrenia (Wang et al., 2003) PubMed:21482353

a(HBP:"alpha-7-containing nAChR") association bp(GO:"response to cytokine") View Subject | View Object

alpha7 nAChRs are involved in the macrophage and placental cytokine response, which may be an additional role for genetic variants in these receptors in the pathogenesis of schizophrenia (Wang et al., 2003) PubMed:21482353

deg(a(CHEBI:heme)) increases complex(a(CHEBI:"carbon monoxide"), a(CHEBI:"iron(2+)"), a(CHEBI:biliverdin)) View Subject | View Object

In the extravascular compartment, cellular heme oxygenase (HO) is the most essential heme degrading protein, converting heme to free iron, biliverdin and CO [26,27]. PubMed:26368565

Appears in Networks:
Annotations
Cell Ontology (CL)
hepatocyte
MeSH
Placenta
Text Location
Introduction

a(MESH:"Fetal Hemoglobin") increases a(HM:"Oxidative damage") View Subject | View Object

It was hypothesized that through the generation of reactive oxygen species (ROS), Hb induces oxidative damage to the placenta and a subsequent leakage over the blood-placental barrier [12]. PubMed:26368565

Appears in Networks:
Annotations
MeSH
Placenta
Text Location
Introduction

a(MESH:"Fetal Hemoglobin") positiveCorrelation path(MESH:"Pre-Eclampsia") View Subject | View Object

A 4-fold increase of the HbF concentration was seen in the PE patients (p-value 0.01) as compared to the controls. PubMed:26368565

Appears in Networks:
Annotations
Cell Ontology (CL)
hepatocyte
MeSH
Placenta
MeSH
Pre-Eclampsia
Text Location
Results

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.