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a(MESH:Lymphocytes)

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

Entity

Name
Lymphocytes
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0

This document contains the curation of the review article Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system by Taly et al. 2009

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

complex(p(HGNC:CHRNA10), p(HGNC:CHRNA9)) increases act(a(MESH:Lymphocytes)) View Subject | View Object

In vivo, these α-conotoxins display potent alleviation of allopathic pain239,242,243 (and additionally reveal an endogeneous ACh activation of lymphocytes through α9α10 nAChRs, which are inhibited by these α-conotoxins). PubMed:19721446

Appears in Networks:
Annotations
Text Location
Review

p(HGNC:AMBP) positiveCorrelation a(MESH:Lymphocytes) View Subject | View Object

However, A1M treatment resulted in a transient increase in the total number of platelets 48 hours after the first injection and peripheral white blood cells, monocytes and lymphocytes 24 hours after the first injection. PubMed:24489717

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Kidney Tubules, Proximal
Text Location
Results

Out-Edges 1

a(MESH:Lymphocytes) positiveCorrelation p(HGNC:AMBP) View Subject | View Object

However, A1M treatment resulted in a transient increase in the total number of platelets 48 hours after the first injection and peripheral white blood cells, monocytes and lymphocytes 24 hours after the first injection. PubMed:24489717

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Kidney Tubules, Proximal
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.