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      Hotspot Mutations in KIT Receptor Differentially Modulate Its Allosterically Coupled Conformational Dynamics: Impact on Activation and Drug Sensitivity

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          Abstract

          Receptor tyrosine kinase KIT controls many signal transduction pathways and represents a typical allosterically regulated protein. The mutation-induced deregulation of KIT activity impairs cellular physiological functions and causes serious human diseases. The impact of hotspots mutations (D816H/Y/N/V and V560G/D) localized in crucial regulatory segments, the juxtamembrane region (JMR) and the activation (A-) loop, on KIT internal dynamics was systematically studied by molecular dynamics simulations. The mutational outcomes predicted in silico were correlated with in vitro and in vivo activation rates and drug sensitivities of KIT mutants. The allosteric regulation of KIT in the native and mutated forms is described in terms of communication between the two remote segments, JMR and A-loop. A strong correlation between the communication profile and the structural and dynamical features of KIT in the native and mutated forms was established. Our results provide new insight on the determinants of receptor KIT constitutive activation by mutations and resistance of KIT mutants to inhibitors. Depiction of an intra-molecular component of the communication network constitutes a first step towards an integrated description of vast communication pathways established by KIT in physiopathological contexts.

          Author Summary

          Receptor tyrosine kinase KIT plays a crucial role in the regulation of cell signaling. This allosterically controlled activity may be affected by gain-of-function mutations that promote the development of several cancers. Identification of the molecular basis of KIT constitutive activation and allosteric regulation has inspired computational study of KIT hotspot mutations. In the present contribution, we investigated the mutation-induced effects on KIT conformational dynamics and intra-protein communication conditionally on the mutation location and the nature of the substituting amino acid. Our data elucidate that all studied mutations stabilize an inactive non-autoinhibited state of KIT over the inactive auto-inhibited state prevalent for the native protein. This shift in the protein conformational landscape promotes KIT constitutive activation. Our in silico analysis established correlations between the structural and dynamical effects induced by oncogenic mutations and the mutants auto-activation rates and drug sensitivities measured in vitro and in vivo. Particularly, the A-loop mutations stabilize the drug-resistant forms, while the JMR mutations may facilitate inhibitors binding to the active site. Cross-correlations established between local and long-range structural and dynamical effects demonstrate the allosteric character of the gain-of-function mutations mode of action.

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              The conformational plasticity of protein kinases.

              Protein kinases operate in a large number of distinct signaling pathways, where the tight regulation of their catalytic activity is crucial to the development and maintenance of eukaryotic organisms. The catalytic domains of different kinases adopt strikingly similar structures when they are active. By contrast, crystal structures of inactive kinases have revealed a remarkable plasticity in the kinase domain that allows the adoption of distinct conformations in response to interactions with specific regulatory domains or proteins.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, USA )
                1553-734X
                1553-7358
                July 2014
                31 July 2014
                : 10
                : 7
                : e1003749
                Affiliations
                [1 ]Bioinformatics, Molecular Dynamics & Modeling (BiMoDyM), Laboratoire de Biologie et Pharmacologie Appliqués (LBPA-CNRS), Ecole Normale Supérieure de Cachan, Cachan, France
                [2 ]Centre de Mathématiques et de Leurs Applications (CMLA-CNRS), Ecole Normale Supérieure de Cachan, Cachan, France
                [3 ]Inserm, U1068, Signaling, Hematopoiesis and Mechanism of Oncogenesis (CRCM); Institut Paoli-Calmettes; Aix-Marseille University; CNRS, UMR7258, Marseille, France
                Institut Pasteur, France
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: LT PD. Performed the experiments: ICdB NP EL. Analyzed the data: ICdB AA NP EL LT. Contributed reagents/materials/analysis tools: EL AA AT. Wrote the paper: ICdB LT.

                [¤a]

                Current address: Physik-Department (T38), Technische Universität München, Garching, Germany

                [¤b]

                Current address: Laboratoire de Biologie Computationnelle et Quantitative, UMR 7238 CNRS-Université Pierre et Marie Curie, Paris, France

                Article
                PCOMPBIOL-D-13-02035
                10.1371/journal.pcbi.1003749
                4117417
                25079768
                49063567-b4a5-474d-90ed-4dc1f7124b7a
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 November 2013
                : 12 June 2014
                Page count
                Pages: 25
                Funding
                This work was supported by Ecole Normale Supérieure (ENS) de Cachan, Centre National de la Recherche Scientifique (CNRS), OSEO ­ the French State Agency for Innovation, Institut Farman (ENS de Cachan), Institut National de la Santé et de la Recherche Médicale (Inserm) and La Ligue Nationale contre le cancer (PD, Equipe labellisée). The funders had no role in study design, data collection and analysis, decision to published, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biophysics
                Computational Biology
                Medicine and Health Sciences
                Oncology
                Physical Sciences
                Physics

                Quantitative & Systems biology
                Quantitative & Systems biology

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