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(online-Seminar)Spatiotemporal self-organization in living systems at multi-scales

09/03 2020
  • Title (online-Seminar)Spatiotemporal self-organization in living systems at multi-scales
  • Speaker
  • Date
  • Venue
  • Abstract

    CAS Key Laboratory of Theoretical Physics

    Institute of Theoretical Physics

    Chinese Academy of Sciences

    Seminar

    Title

    题目

    Spatiotemporal self-organization in living systems at multi-scales

    Speaker

    报告人

    Dr. Yuansheng Cao (曹远胜)

    Affiliation

    所在单位

    Department of Physics, University of California, San Diego

    Date

    日期

    2020年9月3日(星期四)10:30am - 11:30am

    Venue

    地点

    腾讯会议ID: 554 811 019

    Contact Person

    所内联系人

    周海军

    Abstract

    摘要

    Despite the huge differences in spatiotemporal scales, the processes in living systems share a common feature--self-organization. As physicists, we are provided and are developing a lot of tools to understand the principles of complex self-organization in biology. I will talk about three stories about self-organization from molecular, to cellular and multi-cellular scales. At the molecular level, I will focus on the synchronization of molecular clocks, from the perspective of phase transition and free energy consumption. I will show that the synchronization of noisy molecular clocks costs additional free energy which explains the puzzle of ATPase activities in the cyanobacterial circadian clock. At the cellular level, I will describe a minimal model with simple mechanochemical coupling to explain the complex plasticity of cell migration. The model predictions are verified by cell experiments. At the multi-cellular level, I will discuss the formation of a beautiful flower-like pattern in a bacterial colony. The pattern formation can be understood by the mechanical instability caused by bacterial growth and motility. The physical principles in these studies can be further applied to fundamental studies such as biological information processing and clinical studies such as cancer metastasis.