Literature DB >> 11044439

A scaffold protein in the c-Jun NH2-terminal kinase signaling pathways suppresses the extracellular signal-regulated kinase signaling pathways.

Y Kuboki1, M Ito, N Takamatsu, K I Yamamoto, T Shiba, K Yoshioka.   

Abstract

We previously reported that c-Jun NH(2)-terminal kinase (JNK)/stress-activated protein kinase-associated protein 1 (JSAP1) functions as a putative scaffold factor in the JNK mitogen-activated protein kinase (MAPK) cascades. In that study we also found MEK1 and Raf-1, which are involved in the extracellular signal-regulated kinase (ERK) MAPK cascades, bind to JSAP1. Here we have defined the regions of JSAP1 responsible for the interactions with MEK1 and Raf-1. Both of the binding regions were mapped to the COOH-terminal region (residues 1054-1305) of JSAP1. We next examined the effect of overexpressing JSAP1 on the activation of ERK by phorbol 12-myristate 13-acetate in transfected COS-7 cells and found that JSAP1 inhibits ERK's activation and that the COOH-terminal region of JSAP1 was required for the inhibition. Finally, we investigated the molecular mechanism of JSAP1's inhibitory function and showed that JSAP1 prevents MEK1 phosphorylation and activation by Raf-1, resulting in the suppression of the activation of ERK. Taken together, these results suggest that JSAP1 is involved both in the JNK cascades, as a scaffolding factor, and the ERK cascades, as a suppressor.

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Year:  2000        PMID: 11044439     DOI: 10.1074/jbc.C000403200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  4 in total

Review 1.  Bromodomain motifs and "scaffolding"?

Authors:  G V Denis
Journal:  Front Biosci       Date:  2001-09-01

Review 2.  The role of scaffold proteins in JNK signalling.

Authors:  W Engström; A Ward; K Moorwood
Journal:  Cell Prolif       Date:  2009-11-17       Impact factor: 6.831

3.  Calmodulin binds to K-Ras, but not to H- or N-Ras, and modulates its downstream signaling.

Authors:  P Villalonga; C López-Alcalá; M Bosch; A Chiloeches; N Rocamora; J Gil; R Marais; C J Marshall; O Bachs; N Agell
Journal:  Mol Cell Biol       Date:  2001-11       Impact factor: 4.272

4.  Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken.

Authors:  Aneta Polewko-Klim; Wojciech Lesiński; Agnieszka Kitlas Golińska; Krzysztof Mnich; Maria Siwek; Witold R Rudnicki
Journal:  Poult Sci       Date:  2020-09-12       Impact factor: 3.352

  4 in total

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