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p(HGNC:HSPA14)

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Entity

Name
HSPA14
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. v1.0.0

In-Edges 3

bp(MESH:Aging) decreases p(HGNC:HSPA14) View Subject | View Object

Four genes that are significantly repressed both in AD and HD (HSP90AB1, HSPA8, HSPA14, and TCP1) are also repressed in aging (Figure 6B). PubMed:25437566

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Alzheimer Disease
MeSH
Huntington Disease
MeSH
Parkinson Disease

path(MESH:"Alzheimer Disease") decreases p(HGNC:HSPA14) View Subject | View Object

Four genes that are significantly repressed both in AD and HD (HSP90AB1, HSPA8, HSPA14, and TCP1) are also repressed in aging (Figure 6B). PubMed:25437566

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Alzheimer Disease
MeSH
Huntington Disease
MeSH
Parkinson Disease

path(MESH:"Huntington Disease") decreases p(HGNC:HSPA14) View Subject | View Object

Four genes that are significantly repressed both in AD and HD (HSP90AB1, HSPA8, HSPA14, and TCP1) are also repressed in aging (Figure 6B). PubMed:25437566

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Alzheimer Disease
MeSH
Huntington Disease
MeSH
Parkinson Disease

Out-Edges 1

p(HGNC:HSPA14) increases a(HBP:"huntingtin aggregates") View Subject | View Object

These included all subunits of the CCT/TRiC complex (except CCT5); HSP40 and HSP70 family members DNAJA1 (HDJ-2), DNAJA4, HSPA8 (HSC70), and HSPA14 (Figures 5B and 5C); and the TPR-domain APC/C subunits CDC23 and CDC27 that, upon knockdown, led to significantly elevated aggregation (Figure S5B). PubMed:25437566

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Alzheimer Disease
MeSH
Huntington Disease
MeSH
Parkinson 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.