Disruption of Ca/calmodulin:KSR1 interaction lowers ERK activation.

Hyunbum Jang, Ruth Nussinov, Zhigang Li, Samar Sayedyahossein, Louise Thines, David B Sacks, Ryan Maloney

Journal: Protein science : a publication of the Protein Society 2024;33(5):e4982

PMID: 38591710

Abstract

KSR1, a key scaffold protein for the MAPK pathway, facilitates ERK activation upon growth factor stimulation. We recently demonstrated that KSR1 binds the Ca-binding protein calmodulin (CaM), thereby providing an intersection between KSR1-mediated and Ca signaling. In this study, we set out to generate a KSR1 point mutant with reduced Ca/CaM binding in order to unravel the functional implications of their interaction. To do so, we solved the structural determinants of complex formation. Using purified fragments of KSR1, we showed that Ca/CaM binds to the CA3 domain of KSR1. We then used in silico molecular modeling to predict contact residues for binding. This approach identified two possible modes of interaction: (1) binding of extended Ca/CaM to a globular conformation of KSR1-CA3 via electrostatic interactions or (2) binding of collapsed Ca/CaM to α-helical KSR1-CA3 via hydrophobic interactions. Experimentally, site-directed mutagenesis of the predicted contact residues for the two binding models favored that where collapsed Ca/CaM binds to the α-helical conformation of KSR1-CA3. Importantly, replacing KSR1-Phe with Asp reduces Ca/CaM binding by 76%. The KSR1-FD mutation also significantly impairs the ability of EGF to activate ERK, which reveals that Ca/CaM binding promotes KSR1-mediated MAPK signaling. This work, by uncovering structural insight into the binding of KSR1 to Ca/CaM, identifies a KSR1 single-point mutant as a bioreagent to selectively study the crosstalk between Ca and KSR1-mediated signaling.

Published 2024. This article is a U.S. Government work and is in the public domain in the USA. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society.

Address: Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland, USA.; Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, Maryland, USA.; Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, Maryland, USA.; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
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