Higher-order transient membrane protein structures
Abstract
This study shows that five membrane proteins—three GPCRs, an ion channel, and an enzyme—form self-clusters under natural expression levels in a cardiac-derived cell line. The cluster size distributions imply that these proteins self-oligomerize reversibly through weak interactions. When the concentration of the proteins is increased through heterologous expression, the cluster size distributions approach a critical distribution at which point a phase transition occurs, yielding larger bulk phase clusters. A thermodynamic model like that explaining micellization of amphiphiles and lipid membrane formation accounts for this behavior. We propose that many membrane proteins exist as oligomers that form through weak interactions, which we call higher-order transient structures (HOTS). The key characteristics of HOTS are transience, molecular specificity, and a monotonically decreasing size distribution that may become critical at high concentrations. Because molecular specificity invokes self-recognition through protein sequence and structure, we propose that HOTS are genetically encoded supramolecular units.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (7)
Yuxi Zhang
Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University
Hisham Mazal
Max Planck Institute for the Science of Light
Venkata Shiva Mandala
Laboratory of Molecular Neurobiology and Biophysics, The Rockefeller University
Gonzalo Pérez-Mitta
Laboratory of Molecular Neurobiology and Biophysics, The Rockefeller University
Vahid Sondoghdar
Max Planck Institute for the Science of Light
Christoph A. Haselwandter
Department of Physics and Astronomy, University of Southern California
Roderick MacKinnon
Laboratory of Molecular Neurobiology and Biophysics, HHMI, The Rockefeller University