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Massachusetts Institute of Technology

Topology, Symmetry and Mechanics: Deciphering and Controlling information flows in a living cell

Abstract

dc:description.abstract

Living organisms collect, preserve and transform information on complex spatiotem­poral bases. Take a living cell for instance, the signaling proteins are capable of forming patterns on lengths that are tens of thousands the molecular size. During force-generating processes such as cell divisions, both the spatial and temporal aspects of protein patterning convey essential physiology outcomes. While many advances focusing on the molecular complexity of such chemomechan­ical interactions have been made in recent years, it remains unclear to what extent they can be described and even predicted with the language of a physicist. That is, to decipher the structure and dynamics of the cellular information flows focusing on system-level topology and symmetry signatures, rather than the molecular and kinetic specificities. Taking a step further, with emerging experimental tools that allow for quantitative controls over the molecular interactions, the engineering of information flows towards violation of system-level physical symmetry remains an open pursuit. In this thesis, I present a series of studies in the chemomechanical Rho-actomyosin signaling process that takes place in P. Miniata starfish egg cells. In Chapter 1, I review this model system for its molecular components and physiological functions, highlighting the need of novel order parameters for characterizing the complex bio­chemical and biochemical changes. In Chapter 2, I show that the statistics and dynamics of topological defects embedded in Rho chemical patterns can be drawn an unexpected parallel to classical and quantum turbulent fluids. In Chapter 3, I further demonstrate a Bosonic symmetry between braided topological defects as well as the emergence of pair-scattering virtual particles on the cell membrane during sig­naling. In Chapter 4, I develop an optogenetic-based tool recruiting Rho-activating enzyme and use light to quantitatively control surface contraction waves that override wild type guiding cues and violate pole symmetry. In Chapter 5, I discuss the use of vibrational sound microscopy on non-invasively probing active fluctuations in the force-generating cell cortex. Finally, I conclude in Chapter 6 by discussing investi­gation of room-temperature novel physics in biological systems combining advanced biological tools and a condensed-matter theoretical approach.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Liu, Jinghui
Advisor dc:contributor.advisor
  • Fakhri, Nikta

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/150761
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/150761

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Liu, Jinghui. Topology, Symmetry and Mechanics: Deciphering and Controlling information flows in a living cell. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/150761