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Appears in Networks 1

In-Edges 4

a(MESH:tenuigenin) increases p(HGNC:PSMD7) View Subject | View Object

Tenuigenin could obviously reduce intracerebral Aβ1–40 accumulation in AD mouse brain by increasing the content of 26S proteasome (Chen et al. 2015) PubMed:29626319

bp(GO:"cAMP-mediated signaling") increases p(HGNC:PSMD7) View Subject | View Object

Impairment of 26S proteasome induced by tau can be prevented early in disease through activation of cAMP-PKA signaling, and raising the levels of cAMP with rolipram may enhance tau degradation (Myeku et al. 2016) PubMed:29626319

p(HGNC:MAPT) decreases p(HGNC:PSMD7) View Subject | View Object

Impairment of 26S proteasome induced by tau can be prevented early in disease through activation of cAMP-PKA signaling, and raising the levels of cAMP with rolipram may enhance tau degradation (Myeku et al. 2016) PubMed:29626319

p(HGNC:UBB, var("?")) decreases act(p(HGNC:PSMD7)) View Subject | View Object

As is known, the accumulation of frameshift ubiquitin-B (UBB) mutant protein UBB (+1) can block the 26S proteasome in cell lines, and then can reduce Aβ clearance (Hope et al. 2003) PubMed:29626319

Out-Edges 1

p(HGNC:PSMD7) increases deg(a(MESH:Proteins)) View Subject | View Object

Under physiological conditions, UPS, located in the cytosol and the nucleus in eukaryotic cells, as a major intracellular short-lived protein degradation system (Schwartz and Ciechanover 2009), mediates the clearance of misfolded or other abnormally modified proteins with the help of ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), ubiquitin ligase (E3), and the 26S proteasome for the sake of preventing the accumulation of toxic substances (Shang and Taylor 2011) PubMed:29626319

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.