1. Catalog
  2. Nodes
  3. p(HGNC:TF)

p(HGNC:TF)

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

Entity

Name
TF
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 0

Out-Edges 4

p(HGNC:TF) decreases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

Tf is an abundant plasma glycoprotein that normally circulates at a high concentration (2–4mg/ml) to prevent accumulation of LPI. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
Text Location
Review

p(HGNC:TF) decreases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

Sequestration of LPI and prevention of pro-oxidative effects by the administration of apo-Tf may have clinical relevance following acute and chronic transfusion iron overload. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

p(HGNC:TF) decreases a(CHEBI:"iron(2+)") View Subject | View Object

These studies do begin to suggest that apo-Tf administration could attenuate acute iron overload and hemochromatosis progression following chronic RBC transfusions. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

p(HGNC:TF) decreases path(MESH:Hemochromatosis) View Subject | View Object

These studies do begin to suggest that apo-Tf administration could attenuate acute iron overload and hemochromatosis progression following chronic RBC transfusions. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

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.