1. Catalog
  2. Nodes
  3. p(MGI:Cdkn2a)

p(MGI:Cdkn2a)

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

Entity

Name
Cdkn2a
Namespace
MGI
Namespace Version
20170725
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/mgi-mouse-genes/mgi-mouse-genes-20170725.belns

Appears in Networks 1

Tau protein aggregation is associated with cellular senescence in the brain v1.0.0

In-Edges 11

a(CHEBI:"amyloid-beta") causesNoChange p(MGI:Cdkn2a) View Subject | View Object

In 15-month-old mice with heavy Abeta deposition and phosphorylated tau, but lacking NFT pathology (Orr et al., 2014), Cdkn2a expression was not elevated (Figure 4e). These data indicate that Cdkn2a expression was neither a response to general protein accumulation, nor to pre-NFT tau pathology, but instead required the presence of NFTs PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

a(GO:"neurofibrillary tangle") positiveCorrelation p(MGI:Cdkn2a) View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

a(GO:"neurofibrillary tangle") increases act(p(MGI:Cdkn2a)) View Subject | View Object

Consistent with NFTs from human AD, mouse NFTs also caused significant activation scores for IFNG, TNF, IL-1B, as well as enrichment in other senescence associated JAK, STAT, CDKN2A and BCL2 predicted upstream regulators (Figure 1c) indicating translational relevance for using tauNFT mice to explore our hypothesis PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Neurons
MeSH
Alzheimer Disease

a(GO:"neurofibrillary tangle") increases p(MGI:Cdkn2a) View Subject | View Object

Cdkn2a gene expression increased significantly during this age interval, and at 28 months of age tauWT Cdkn2a expression was similar to that of 16-month-old tauNFT mice (Figure 4c) PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

a(GO:"neurofibrillary tangle") increases p(MGI:Cdkn2a) View Subject | View Object

In 15-month-old mice with heavy Abeta deposition and phosphorylated tau, but lacking NFT pathology (Orr et al., 2014), Cdkn2a expression was not elevated (Figure 4e). These data indicate that Cdkn2a expression was neither a response to general protein accumulation, nor to pre-NFT tau pathology, but instead required the presence of NFTs PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

bp(GO:"cellular senescence") association p(MGI:Cdkn2a) View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

p(MGI:Mapt) increases p(MGI:Cdkn2a) View Subject | View Object

The reduced tau pathology corresponded with 60% lower Cdkn2a expression (P = 0.0041, Figure 4a), decreased SASP (Figure S4) and decreased brain atrophy (tauNFT-Mapt0/0: 0.4058 ± 0.009 versus age-matched tauNFT Maptwt/wt: 0.3451 ± 0.0116; 17.5% difference, P = 0.0143, Figure 4b) PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

p(MGI:Mapt, pmod(Ph)) causesNoChange p(MGI:Cdkn2a) View Subject | View Object

In 15-month-old mice with heavy Abeta deposition and phosphorylated tau, but lacking NFT pathology (Orr et al., 2014), Cdkn2a expression was not elevated (Figure 4e). These data indicate that Cdkn2a expression was neither a response to general protein accumulation, nor to pre-NFT tau pathology, but instead required the presence of NFTs PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

p(MGI:Mapt, var("p.Pro301Leu")) increases p(MGI:Cdkn2a) View Subject | View Object

Moreover, Cdkn2a was expressed at levels 2.7- and 2.6-fold higher in tauNFT than CTL and tauWT, respectively (P = 0.0303 and P = 0.0352, respectively; Figure 1g); this effect was replicated in an independent mouse cohort (P = 0.0016, Figure S1g) PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons
MeSH
Alzheimer Disease

path(HP:"Brain atrophy") positiveCorrelation p(MGI:Cdkn2a) View Subject | View Object

Further, when plotted against brain weight, Cdkn2a expression was a strong predictor of brain atrophy across mouse lines (P < 0.0001, R2 = 0.5615; Figure 4f) PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

path(HP:"Cerebral atrophy") positiveCorrelation p(MGI:Cdkn2a) View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

Out-Edges 4

p(MGI:Cdkn2a) association bp(GO:"cellular senescence") View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

p(MGI:Cdkn2a) positiveCorrelation path(HP:"Cerebral atrophy") View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

p(MGI:Cdkn2a) positiveCorrelation a(GO:"neurofibrillary tangle") View Subject | View Object

Cdkn2a transcript level, a hallmark measure of senescence, directly correlated with brain atrophy and NFT burden in mice PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Alzheimer Disease

p(MGI:Cdkn2a) positiveCorrelation path(HP:"Brain atrophy") View Subject | View Object

Further, when plotted against brain weight, Cdkn2a expression was a strong predictor of brain atrophy across mouse lines (P < 0.0001, R2 = 0.5615; Figure 4f) PubMed:30126037

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Hippocampus
MeSH
Alzheimer Disease

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.