PubMed: 23666762

Title
Role of individual MARK isoforms in phosphorylation of tau at Ser²⁶² in Alzheimer's disease.
Journal
Neuromolecular medicine
Volume
15
Issue
None
Pages
458-69
Date
2013-09-01
Authors
Blokzijl A | Classon C | Gu GJ | Kamali-Moghaddam M | Landegren U | Lund H | Sunnemark D | Wu D | von Euler G

Evidence 4c695d5405

In 293T culture, MB decreased MARK4-mediated Tau phosphorylation in a dose dependent manner. MB down-regulates MARK4 protein level through ubiquitin-proteasome pathway and inhibition of MARK4 kinase activity in vitro.

Evidence 12f2e4b565

In parallel, phosphorylation of tau at Ser262 in MARK-transfected cells was investigated using a rabbit antibody recognizing phosphorylated Ser262 of tau (AGG5759) and a mouse anti-tau antibody (SC-21796) (Fig. S1a3). Tau was shown to interact with each of the transfected MARK isoforms (Fig. 1) and to be phosphorylated at Ser262 (Fig. 2). Staurosporine, a non-selective kinase inhibitor, significantly inhibited interactions between tau and each of the four MARK isoforms after treatment with 20 lM staurosporine for 1 h (Fig. 1; p = 0.02 for MARK1–, MARK2– and MARK3–tau interactions and p = 3 9 10-6 for MARK4–tau interaction). Treatment with staurosporine also significantly reduced PLA signals for tau phosphorylation at Ser262 (Fig. 2; p = 0.04 for MARK1- and p = 0.02 for MARK2- and MARK3- and p = 1 9 10-5 for MARK4-mediated tau phosphorylation)

Evidence 4b0a15b94d

In cells, a CagA peptide inhibited tau phosphorylation at Ser²6² mediated by MARK4 but not other MARK isoforms. A strong and significant elevation of MARK4 expression and MARK4-tau interactions in AD brains correlated with the Braak stages of the 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.