1. Catalog
  2. Nodes
  3. p(FPLX:NFkappaB, pmod(Ac, Lys, 122))

p(FPLX:NFkappaB, pmod(Ac, Lys, 122))

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

Entity

Name
NFkappaB
Namespace
FPLX
Namespace Version
20180917
Namespace URL
https://raw.githubusercontent.com/sorgerlab/famplex/e8ae9926ff95266032cb74f77973c84939bffbeb/export/famplex.belns

Appears in Networks 1

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 2

p(FPLX:NFkappaB) hasVariant p(FPLX:NFkappaB, pmod(Ac, Lys, 122)) View Subject | View Object

Appears in Networks:

act(p(HGNC:KAT2B)) positiveCorrelation p(FPLX:NFkappaB, pmod(Ac, Lys, 122)) View Subject | View Object

In this study, we modified the PCAF inhibitor by chemical derivatization and selected compound C-30-27 as the most potent PCAF inhibitor. We demonstrated that C-30-27 selectively inhibited acetylation-dependent nuclear factor-κB (NF-κB) at Lys-122 and suppressed the NF-κB-mediated inflammatory response induced by lipopolysaccharide (LPS) or Aβ in both BV2 and Neuro-2A (N2A) cells. Finally, we demonstrated that C-30-27 improved cognitive deficits, as well as the capacity for locomotion and the damaged cholinergic system in the Aβ-treated rats. PubMed:25672970

Appears in Networks:

Out-Edges 1

p(FPLX:NFkappaB, pmod(Ac, Lys, 122)) positiveCorrelation act(p(HGNC:KAT2B)) View Subject | View Object

In this study, we modified the PCAF inhibitor by chemical derivatization and selected compound C-30-27 as the most potent PCAF inhibitor. We demonstrated that C-30-27 selectively inhibited acetylation-dependent nuclear factor-κB (NF-κB) at Lys-122 and suppressed the NF-κB-mediated inflammatory response induced by lipopolysaccharide (LPS) or Aβ in both BV2 and Neuro-2A (N2A) cells. Finally, we demonstrated that C-30-27 improved cognitive deficits, as well as the capacity for locomotion and the damaged cholinergic system in the Aβ-treated rats. PubMed:25672970

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.