Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > q-bio > arXiv:2509.24926

Help | Advanced Search

Quantitative Biology > Molecular Networks

arXiv:2509.24926 (q-bio)
[Submitted on 29 Sep 2025 ]

Title: Bifurcations and multistability in inducible three-gene toggle switch networks

Title: 可诱导的三基因切换开关网络中的分岔和多稳定性

Authors:Rebecca J. Rousseau, Rob Phillips
Abstract: Control of transcription presides over a vast array of biological processes including through gene regulatory circuits that exhibit multistability. Two- and three-gene network motifs are often found to be critical parts of the repertoire of metabolic and developmental pathways. Theoretical models of these circuits, however, typically vary parameters such as dissociation constants, transcription rates, and degradation rates without specifying precisely how these parameters are controlled biologically. In this paper, we examine the role of effector molecules, which can alter the concentrations of the active transcription factors that control regulation, and are ubiquitous to regulatory processes across biological settings. We specifically consider allosteric regulation in the context of extending the standard bistable switch to three-gene networks, and explore the rich multistable dynamics exhibited in these architectures as a function of effector concentrations. We then study how the conditions required for tristability and more complex dynamics, and the bifurcations in dynamic phase space upon tuning effector concentrations, evolve under various interpretations of regulatory circuit mechanics, the underlying activity of inducers, and perturbations thereof. Notably, the biological mechanism by which we model effector control over dual-function proteins transforms not only the phenotypic trend of dynamic tuning but also the set of available dynamic regimes. In this way, we determine key parameters and regulatory features that drive phenotypic decisions, and offer an experimentally tunable structure for encoding inducible multistable behavior arising from both single and dual-function allosteric transcription factors.
Abstract: 转录控制主导着包括基因调控回路在内的大量生物过程,这些回路表现出多稳态特性。 二基因和三基因网络模体通常被认为是代谢和发育通路的重要组成部分。 然而,这些电路的理论模型通常会改变诸如解离常数、转录速率和降解速率等参数,但并未明确说明这些参数在生物学上是如何被控制的。 在本文中,我们研究了效应分子的作用,这些分子可以改变控制调控的活性转录因子的浓度,并且在各种生物环境中都是调控过程的普遍特征。 我们特别考虑在扩展标准双稳态开关至三基因网络的背景下,别构调控的作用,并探讨这些结构在效应分子浓度函数下的丰富多稳态动态特性。 然后,我们研究了在不同调控电路机械解释、诱导物的基本活性及其扰动下,实现三稳态和更复杂动态所需的条件以及在调节效应分子浓度时动态相空间中的分岔如何演变。 值得注意的是,我们对效应分子控制双功能蛋白的生物学机制的建模不仅改变了动态调节的表型趋势,还改变了可用动态区域的集合。 通过这种方式,我们确定了驱动表型决策的关键参数和调控特征,并提供了一种可实验调节的结构,用于编码由单功能和双功能别构转录因子引起的可诱导多稳态行为。
Comments: 32 pages, 23 figures
Subjects: Molecular Networks (q-bio.MN) ; Biological Physics (physics.bio-ph); Subcellular Processes (q-bio.SC)
Cite as: arXiv:2509.24926 [q-bio.MN]
  (or arXiv:2509.24926v1 [q-bio.MN] for this version)
  https://doi.org/10.48550/arXiv.2509.24926
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Rebecca J Rousseau [view email]
[v1] Mon, 29 Sep 2025 15:27:46 UTC (4,792 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
  • Other Formats
license icon view license
Current browse context:
q-bio.MN
< prev   |   next >
new | recent | 2025-09
Change to browse by:
physics
physics.bio-ph
q-bio
q-bio.SC

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号