1. Catalog
  2. Nodes
  3. composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr")))

composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr")))

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

Components

Appears in Networks 2

MMP-9 and MMP-2 Contribute to Neuronal Cell Death in iPSC Models of Frontotemporal Dementia with MAPT Mutations v1.0.0

Alzheimer’s disease and the autophagic-lysosomal system v1.0.0

In-Edges 0

Out-Edges 4

composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr"))) hasComponent a(CHEBI:sirolimus) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr"))) hasComponent p(HGNC:MAPT, var("p.Ala152Thr")) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr"))) increases bp(GO:"neuron death") View Subject | View Object

When measuring cell viability using the MTT assay, we found that patient-specific neurons are more sensitive than control neurons to cell death induced by rapamycin (Figure 3B) but not by staurosporine or rotenone (Figures S3B and S3C), suggesting compromised function in the mTOR pathway or related molecular pathways PubMed:27594586

Appears in Networks:
Annotations
MeSH
Extracellular Space
Confidence
Medium
MeSH
Cerebral Cortex
MeSH
Neurons
MeSH
Frontotemporal Dementia

composite(a(CHEBI:sirolimus), p(HGNC:MAPT, var("p.Ala152Thr"))) increases bp(GO:"cell death") View Subject | View Object

However, in another study, iPSC-derived tau A152T and MAPT IVS 10+16 (a tau splice mutant) cortical neurons had increased cell death in response to rapamycin treatment, although basal cell death was ∼10 times higher in these tau mutants relative to controls, making interpretation of the work difficult [134]. PubMed:29758300

Appears in Networks:

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.