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path(MESH:"Niemann-Pick Disease, Type C")

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Entity

Name
Niemann-Pick Disease, Type C
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 1

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

In-Edges 1

bp(GO:macroautophagy) negativeCorrelation path(MESH:"Niemann-Pick Disease, Type C") View Subject | View Object

Finally, numerous studies using iPSC models have implicated changes in macroautophagy pathways in Parkinson’s disease [137–144], Gaucher disease [145], Niemann-Pick Type C1 disease [146–148] and diseases affecting motor neurons, including ALS [149,150], spinal and bulbar muscular atrophy (SBMA) [151], Brown- Vialetto disease [152], Charcot-Marie-Tooth 2A [153] and hereditary spastic paraplegia [154] PubMed:29758300

Appears in Networks:

Out-Edges 1

path(MESH:"Niemann-Pick Disease, Type C") negativeCorrelation bp(GO:macroautophagy) View Subject | View Object

Finally, numerous studies using iPSC models have implicated changes in macroautophagy pathways in Parkinson’s disease [137–144], Gaucher disease [145], Niemann-Pick Type C1 disease [146–148] and diseases affecting motor neurons, including ALS [149,150], spinal and bulbar muscular atrophy (SBMA) [151], Brown- Vialetto disease [152], Charcot-Marie-Tooth 2A [153] and hereditary spastic paraplegia [154] 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.