Name
Pars Compacta
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

a(CHEBI:nicotine) causesNoChange a(HBP:"alpha-4-containing nAChR") View Subject | View Object

While chronic nicotine does not change the abundance or function of alpha4* nAChRs in the somata of substantia nigra pars compacta dopaminergic neurons, it does suppress baseline firing rates of these DA neurons. PubMed:21482353

a(HBP:"alpha-4 beta-2 nAChR") positiveCorrelation a(MESH:"Dopaminergic Neurons") View Subject | View Object

In the midbrain, both DA neurons (in substantia nigra pars compacta and ventral tegmental area [VTA]) and GABAergic neurons (in substantia nigra pars reticulata and VTA) express high levels of alpha4beta2* nAChRs on their somata, but only GABAergic neurons display somatic upregulation (Nashmi et al., 2007; Xiao et al., 2009) PubMed:21482353

a(CHEBI:nicotine) decreases act(a(MESH:"Dopaminergic Neurons")) View Subject | View Object

While chronic nicotine does not change the abundance or function of alpha4* nAChRs in the somata of substantia nigra pars compacta dopaminergic neurons, it does suppress baseline firing rates of these DA neurons. PubMed:21482353

a(MESH:"Dopaminergic Neurons") positiveCorrelation a(HBP:"alpha-4 beta-2 nAChR") View Subject | View Object

In the midbrain, both DA neurons (in substantia nigra pars compacta and ventral tegmental area [VTA]) and GABAergic neurons (in substantia nigra pars reticulata and VTA) express high levels of alpha4beta2* nAChRs on their somata, but only GABAergic neurons display somatic upregulation (Nashmi et al., 2007; Xiao et al., 2009) PubMed:21482353

a(GO:"dopaminergic synapse") association a(MESH:"Lewy Bodies") View Subject | View Object

In the vast majority of patients, some of the remaining nigral dopaminergic neurons exhibit aggregated proteins in the form of cytoplasmic LB inclusions PubMed:14556719

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.