1. Catalog
  2. Citations
  3. PubMed:23943618

PubMed: 23943618

Title
Leucine carboxyl methyltransferase 1 (LCMT1)-dependent methylation regulates the association of protein phosphatase 2A and Tau protein with plasma membrane microdomains in neuroblastoma cells.
Journal
The Journal of biological chemistry
Volume
288
Issue
None
Pages
27396-405
Date
2013-09-20
Authors
Nunbhakdi-Craig V | Sontag E | Sontag JM

Evidence 440b7ad835
JSON

Notably, methylation of PP2A catalytic C subunit on the Leu- 309 residue by leucine carboxyl methyltransferase 1 (LCMT1) promotes the biogenesis and stabilization of PP2A/B enzymes (20). We have shown that decreased LCMT1 activity and/or expression levels correlate with down-regulation of PP2A methylation and PP2A/B expression levels and with concomitant accumulation of phospho-Tau in AD-affected brain regions (21), in cultured N2a neuroblastoma cells and in vivo

complex(p(FPLX:PPP2), p(HGNC:MAPT)) positiveCorrelation act(p(FPLX:PPP2)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease

complex(p(FPLX:PPP2), p(HGNC:MAPT)) negativeCorrelation p(HGNC:MAPT, pmod(Ph)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease

act(p(FPLX:PPP2)) positiveCorrelation complex(p(FPLX:PPP2), p(HGNC:MAPT)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease

p(HGNC:MAPT, pmod(Ph)) negativeCorrelation complex(p(FPLX:PPP2), p(HGNC:MAPT)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease

p(HGNC:LCMT1) increases p(HGNC:PPP2CA, pmod(Me, Leu, 309)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease

p(HGNC:PPP2CA, pmod(Me, Leu, 309)) increases act(p(FPLX:PPP2)) View Subject | View Object

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's 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.