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Entity

Name
Monocyte–platelet aggregation
Namespace
HM
Namespace Version
None
Pattern
.*

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 1

p(HGNC:SELP) positiveCorrelation bp(HM:"Monocyte–platelet aggregation") View Subject | View Object

Monocyte–platelet interactions are believed to be predominantly mediated by surface P-selectin/integrins and their receptors, and it was suggested that monocyte-platelet aggregates are a marker of platelet activation as well as a pathway for the regulation of monocyte and platelet function [17]. PubMed:29929138

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
Cell Ontology (CL)
neutrophil
Cell Ontology (CL)
platelet
MeSH
Hemoglobinuria, Paroxysmal
Text Location
Results

Out-Edges 1

bp(HM:"Monocyte–platelet aggregation") positiveCorrelation p(HGNC:SELP) View Subject | View Object

Monocyte–platelet interactions are believed to be predominantly mediated by surface P-selectin/integrins and their receptors, and it was suggested that monocyte-platelet aggregates are a marker of platelet activation as well as a pathway for the regulation of monocyte and platelet function [17]. PubMed:29929138

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
Cell Ontology (CL)
neutrophil
Cell Ontology (CL)
platelet
MeSH
Hemoglobinuria, Paroxysmal
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.