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p(HGNC:TFRC)

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

Entity

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

Appears in Networks 2

Oxidative stress in health and disease: The therapeutic potential of Nrf2 activation v1.0.0

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 4

a(PUBCHEM:135316034) decreases p(HGNC:TFRC) View Subject | View Object

In colon carcinoma, IPA analysis revealed 28 genes associated with the disease that were also modulated by Protandim treatment. Of these, the first 25 listed (89%) were regulated by Protandim in the opposing direction to that taken by the colon carcinoma disease process. PubMed:22020111

Appears in Networks:
Annotations
MeSH
Colorectal Neoplasms

path(MESH:"Colorectal Neoplasms") increases p(HGNC:TFRC) View Subject | View Object

In colon carcinoma, IPA analysis revealed 28 genes associated with the disease that were also modulated by Protandim treatment. Of these, the first 25 listed (89%) were regulated by Protandim in the opposing direction to that taken by the colon carcinoma disease process. PubMed:22020111

Appears in Networks:

a(CHEBI:heme) decreases p(HGNC:TFRC) View Subject | View Object

In the presence of both 10 and 40 μM, the transferrin receptor was identified as the most suppressed protein. PubMed:26794659

Appears in Networks:
Annotations
Cell Ontology (CL)
epithelial cell
MeSH
Kidney
Text Location
Results

complex(a(MESH:"diferric transferrin"), p(HGNC:TFRC)) hasComponent p(HGNC:TFRC) View Subject | View Object

Appears in Networks:

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.