p(HGNC:FKBP5) increases p(HGNC:MAPT)

View Subject View Object

PubMed:20071522

We found that FKBP51 indeed could interact with tau from both AD patients and control cases (Fig. 3D), further suggesting a functionally relevant relationship between FKBP51 and tau. We then investigated whether FKBP51 would preferentially interact with phosphorylated tau species. We increased the number of samples per group (4 for AD and 4 for normal) and again co-immunoprecipitated FKBP51. After gel electrophoresis, immunoblotting showed increased association of pS396 and pS199-S202 tau species with FKBP51 in AD tissue (Fig S1). Indeed, we found that FKBP51 over-expression increased phospho- and total tau levels (by 80%) in HeLa cells stably expressing normal human tau, while FKBP52 over-expression had no affect (Fig.4A). These experiments were repeated multiple times and Student t-test of these replicates demonstrated that FKBP51 significantly increased total tau levels (p= 0.0104).

Related Edges 12

• complex(p(HGNC:FKBP5), p(HGNC:MAPT)) association p(HGNC:MAPT, pmod(Ph, Ser, 396))
• complex(p(HGNC:FKBP5), p(HGNC:MAPT)) association p(HGNC:MAPT, pmod(Ph, Ser, 199))
• complex(p(HGNC:FKBP5), p(HGNC:MAPT)) association p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(HGNC:FKBP5) positiveCorrelation p(HGNC:MAPT, pmod(Ph, Ser, 396))
• p(HGNC:FKBP5) positiveCorrelation p(HGNC:MAPT, pmod(Ph, Ser, 199))
• p(HGNC:FKBP5) positiveCorrelation p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(HGNC:MAPT, pmod(Ph, Ser, 199)) association complex(p(HGNC:FKBP5), p(HGNC:MAPT))
• p(HGNC:MAPT, pmod(Ph, Ser, 199)) positiveCorrelation p(HGNC:FKBP5)
• p(HGNC:MAPT, pmod(Ph, Ser, 202)) association complex(p(HGNC:FKBP5), p(HGNC:MAPT))
• p(HGNC:MAPT, pmod(Ph, Ser, 202)) positiveCorrelation p(HGNC:FKBP5)
• p(HGNC:MAPT, pmod(Ph, Ser, 396)) association complex(p(HGNC:FKBP5), p(HGNC:MAPT))
• p(HGNC:MAPT, pmod(Ph, Ser, 396)) positiveCorrelation p(HGNC:FKBP5)

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.

---