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Multiphasic protein condensation governed by shape and valency.

Vikas Pandey1, Tomohisa Hosokawa2, Yasunori Hayashi2

  • 1Department of Biomedical Data Science, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan; International Center for Brain Science (ICBS), Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan; National Institute for Physiological Sciences, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji, Okazaki, Aichi 444-8787, Japan.

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Biological phase separation forms membraneless organelles. Computational models show Ca2+/calmodulin-dependent protein kinase II (CaMKII) forms specific structures crucial for synaptic plasticity and memory.

Keywords:
CP: Molecular biologyCP: NeuroscienceCaMKIIMonte Carlo simulationliquid-liquid phase separationsynaptic plasticity

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Area of Science:

  • Biochemistry
  • Cell Biology
  • Computational Biology

Background:

  • Liquid-liquid phase separation (LLPS) drives the formation of membraneless organelles, essential for cellular functions.
  • The topological principles governing multiphasic LLPS remain incompletely understood, particularly in complex biological systems.

Purpose of the Study:

  • To investigate the molecular determinants of multilayered liquid-liquid phase separation (LLPS) using a computational model.
  • To explore the role of Ca2+/calmodulin-dependent protein kinase II (CaMKII) and its interactions in forming specific phase-separated structures within synapses.

Main Methods:

  • Development of a computational model to simulate LLPS of synaptic proteins, including CaMKII.
  • Analysis of protein valency, linker length, and diffusion dynamics to understand phase separation phenomena.
  • Modeling of phase-in-phase (PIP) organization and its dependence on molecular properties.

Main Results:

  • The computational model successfully reproduced various LLPS forms, including the phase-in-phase (PIP) organization.
  • PIP formation was found to be contingent upon competitive protein binding, high CaMKII valency, and short linker lengths.
  • CaMKII with these properties exhibited low surface tension, modularity, and slow diffusion, facilitating sustained presence in biochemical domains.

Conclusions:

  • Computational modeling reveals critical structure-function relationships for CaMKII in synaptic plasticity.
  • The study identifies CaMKII's specific biophysical properties as key to its function as a synaptic memory unit.
  • Understanding these LLPS mechanisms provides insights into the molecular basis of memory formation.