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The Effect of Active Zone Protein Dynamics on Synaptic Vesicle Release Probability

Research Project

Project/Area Number 20K06593
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 43040:Biophysics-related
Research InstitutionOkinawa Institute of Science and Technology Graduate University

Principal Investigator

DESCHUTTER ERIK  沖縄科学技術大学院大学, 計算脳科学ユニット, 教授 (00466319)

Co-Investigator(Kenkyū-buntansha) HEPBURN Iain  沖縄科学技術大学院大学, 計算脳科学ユニット, 客員研究員 (20604200)
GALLIMORE Andrew  沖縄科学技術大学院大学, 計算脳科学ユニット, 客員研究員 (50838422)
Project Period (FY) 2020-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2020: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
KeywordsSynapse / Plasticity / Hippocampus / Computational biology / Systems biology
Outline of Research at the Start

The probability of neurotransmitter release in response to an action potential is a fundamental variable regulating information transmission in the brain, although it remains poorly understood. We have developed a unique modeling technology that will allow us to build a detailed and realistic computational model of the complete synaptic vesicle cycle, which will allow us to explore how release probability is regulated at central nervous system synapses. We hope that this research could eventually have applications in the treatment of neurological disorders, such as Alzheimer’s disease.

Outline of Final Research Achievements

We developed new technology for simulating vesicles in cells and related processes such as exocytosis, clustering, active transport and endocytosis. Such phenomena play crucial roles in biology, for example by controlling neurotransmitter release in nerve terminals, which is the fundamental process behind information transfer in the brain. Being able to simulate these systems computationally allows us to explore them in ways not previously possible, and uncover new insights into their function.

We used this new technology to develop a model of the synaptic vesicle cycle at a hippocampal en passant synapse to unprecedented spatial and molecular detail. In doing so, we uncovered many new insights into this system, such as the use of the distinct vesicle pools at different stimulation frequencies and the role of crucial molecules such as tomosyn-1 and Rab3-GTP in regulating neurotransmitter release. The tools developed will allow further discoveries to be made in the future.

Academic Significance and Societal Importance of the Research Achievements

神経情報伝達物質の放出は脳の情報伝達の根幹にあり、これらの異変はアルツハイマー病、パーキンソン病、そして統合失調症に関連すると考えられている。よって、神経伝達の理解を深める本研究の成果はこれらの病理学に大きく貢献し、治療法確立の礎となる。本研究で開発されたシミュレータは今後細胞内小胞のシミュレーションにも役立つ。

Report

(5 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (3 results)

All 2024 2023 2022

All Journal Article (2 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 1 results,  Open Access: 2 results) Presentation (1 results) (of which Invited: 1 results)

  • [Journal Article] Vesicle and reaction-diffusion hybrid modeling with STEPS2024

    • Author(s)
      Hepburn Iain, Lallouette Jules, Chen Weiliang, Gallimore Andrew R., Nagasawa-Soeda Sarah, De Schutter Erik
    • Journal Title

      Communications Biology

      Volume: -

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Dynamic Regulation of Vesicle Pools in a Detailed Spatial Model of the Complete Synaptic Vesicle Cycle2023

    • Author(s)
      Gallimore Andrew R.、Hepburn Iain、Rizzoli Silvio、De Schutter Erik
    • Journal Title

      bioRxiv

      Volume: - Pages: 551909-551909

    • DOI

      10.1101/2023.08.03.551909

    • Related Report
      2023 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Presentation] Modeling the tripartite synapse.2022

    • Author(s)
      Erik De Schutter
    • Organizer
      Quantitative Synaptology talk, University of Goettingen, Germany.
    • Related Report
      2022 Research-status Report
    • Invited

URL: 

Published: 2020-04-28   Modified: 2025-01-30  

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