Name
Parietal Lobe
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

path(MESH:"Cognitive Dysfunction") association p(HGNC:CDKN2A) View Subject | View Object

Collectively, these findings led us to conclude that NFTs were directly linked to senescence-associated Cdkn2a upregulation, which in turn was a strong predictor of neurodegeneration and cognitive decline PubMed:30126037

a(GO:"neurofibrillary tangle") increases p(HGNC:CDKN2A) View Subject | View Object

Collectively, these findings led us to conclude that NFTs were directly linked to senescence-associated Cdkn2a upregulation, which in turn was a strong predictor of neurodegeneration and cognitive decline PubMed:30126037

p(HGNC:CDKN2A) association path(MESH:"Cognitive Dysfunction") View Subject | View Object

Collectively, these findings led us to conclude that NFTs were directly linked to senescence-associated Cdkn2a upregulation, which in turn was a strong predictor of neurodegeneration and cognitive decline PubMed:30126037

bp(HP:Neurodegeneration) association p(HGNC:CDKN2A) View Subject | View Object

Collectively, these findings led us to conclude that NFTs were directly linked to senescence-associated Cdkn2a upregulation, which in turn was a strong predictor of neurodegeneration and cognitive decline PubMed:30126037

a(GO:"neurofibrillary tangle") positiveCorrelation p(HGNC:CDKN2A) View Subject | View Object

Consistent with the results from transgenic mice, CDKN2A was upregulated in PSP brains (P = 0.0415, Figure 4g) and expression correlated with NFT deposition, specifically in the parietal lobe (ANOVA, P = 0.0008; Kendall’s Tau rank correlation P = 0.059, Figure 4h) PubMed:30126037

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.