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Appears in Networks 2

In-Edges 5

bp(MESH:Aging) increases p(HGNC:TPR) View Subject | View Object

TPR proteins tend to be induced, whereas HSP40s are repressed (Figure 1B). PubMed:25437566

bp(MESH:Aging) increases p(HGNC:TPR) View Subject | View Object

Ranked by decreasing median aging correlation, the induction of sHSPs and TPR genes consistently ranked high and the HSP60s, HSP40s, and HSP70s were consistently repressed. PubMed:25437566

bp(MESH:Aging) increases p(HGNC:TPR) View Subject | View Object

Among the genes that are induced in brain aging and disease are sHSPs and TPR-containing chaperone genes (Figures S3A–S3D). PubMed:25437566

bp(HBP:Proteostasis) association p(HGNC:TPR) View Subject | View Object

Many studies based on model systems support a role for candidates from each of the major chaperome families; HSP100, HSP90, HSP70, HSP60, HSP40, sHSPs, and TPR-domain-containing proteins in proteostasis. PubMed:27491084

bp(MESH:Aging) increases p(HGNC:TPR) View Subject | View Object

The HSP40, HSP60 and HSP70 families were amongst the most repressed chaperones, with HSP70s being the most repressed group overall. However, in contrast with the broad spectrum of repressed chaperone families, sHSPs and the TPR co-chaperone proteins were the only families that were significantly induced. PubMed:27491084

Out-Edges 1

p(HGNC:TPR) association bp(HBP:Proteostasis) View Subject | View Object

Many studies based on model systems support a role for candidates from each of the major chaperome families; HSP100, HSP90, HSP70, HSP60, HSP40, sHSPs, and TPR-domain-containing proteins in proteostasis. PubMed:27491084

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.