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p(HGNC:LAMP2)

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

Entity

Name
LAMP2
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 3

Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing v1.0.0

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

Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0

In-Edges 3

complex(p(HGNC:LAMP2), p(HGNC:SNCA, var("p.Ala53Thr"))) hasComponent p(HGNC:LAMP2) View Subject | View Object

Appears in Networks:

complex(p(HGNC:LAMP2), p(HGNC:SNCA, var("p.Ala30Pro"))) hasComponent p(HGNC:LAMP2) View Subject | View Object

Appears in Networks:

composite(p(HGNC:HSPA8), p(HGNC:LAMP2)) hasComponent p(HGNC:LAMP2) View Subject | View Object

Appears in Networks:

Out-Edges 3

p(HGNC:LAMP2) increases bp(GO:"chaperone-mediated autophagy") View Subject | View Object

Nonetheless, overexpression of LAMP2A accelerated CMA-related clearance of α-synuclein and afforded pro- tection of dopaminergic neurons 45 , and several routes to potential pharmacological exploitation exist. PubMed:30116051

Appears in Networks:

p(HGNC:LAMP2) increases deg(p(HGNC:SNCA)) View Subject | View Object

Nonetheless, overexpression of LAMP2A accelerated CMA-related clearance of α-synuclein and afforded pro- tection of dopaminergic neurons 45 , and several routes to potential pharmacological exploitation exist. PubMed:30116051

Appears in Networks:

p(HGNC:LAMP2) increases tloc(a(MESH:Proteins), fromLoc(GO:intracellular), toLoc(GO:lysosome)) View Subject | View Object

The substrate-chaperone complex is then targeted to the lysosome by binding to lysosome-associated membrane protein 2A (LAMP-2A) which carries out receptor-mediated translocation of the substrate into the lysosome for degradation [11,13] PubMed:18930136

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.