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Negative feedback and oscillations in a model for mRNA translation

Title data

Ehrman, Aliza ; Kriecherbauer, Thomas ; Grüne, Lars ; Margaliot, Michael:
Negative feedback and oscillations in a model for mRNA translation.
Bayreuth ; Tel Aviv , 2025 . - 17 p.
DOI: https://doi.org/10.48550/arXiv.2504.12926

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Analysis of Random Transport in Chains using Modern Tools from Systems and Control Theory
GR 1569/24-1, KR 1673/7-1, 470999742

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

The ribosome flow model (RFM) is a phenomenological model for the unidirectional flow of particles along a 1D chain of n sites. The RFM has been extensively used to study the dynamics of ribosome flow along a single mRNA molecule during translation. In this case, the particles model ribosomes and each site corresponds to a consecutive group of codons. Networks of interconnected RFMs have been used to model and analyze large-scale translation in the cell and, in particular, the effects of competition for shared resources. Here, we analyze the RFM with a negative feedback connection from the protein production rate to the initiation rate. This models, for example, the production of proteins that inhibit the translation of their own mRNA. Using tools from the theory of 2-cooperative dynamical systems, we provide a simple condition guaranteeing that the closed-loop system admits at least one non-trivial periodic solution. When this condition holds, we also explicitly characterize a large set of initial conditions such that any solution emanating from this set converges to a non-trivial periodic solution. Such a solution corresponds to a periodic pattern of ribosome densities along the mRNA, and to a periodic pattern of protein production.

Further data

Item Type: Preprint, postprint
Refereed: Yes
Keywords: mRNA translation; periodic solutions; regulation of gene expression
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VI (Nonlinear Analysis and Mathematical Physics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VI (Nonlinear Analysis and Mathematical Physics) > Chair Mathematics VI (Nonlinear Analysis and Mathematical Physics) - Univ.-Prof. Dr. Thomas Kriecherbauer
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
500 Science > 570 Life sciences, biology
Date Deposited: 28 Apr 2025 07:31
Last Modified: 28 Apr 2025 07:31
URI: https://eref.uni-bayreuth.de/id/eprint/93358