Ribosomes are fundamental cellular structures, playing a crucial role in the synthesis of proteins, the building blocks of life. They are composed of a large and a small subunit, each consisting of a combination of ribosomal RNA (rRNA) and numerous associated proteins. These subunits work collaboratively to translate messenger RNA (mRNA) into proteins through a process known as translation. Understanding the synthesis of ribosomal components is crucial for elucidating their function and role in cellular processes, including the setting of the cell growth rate. Recently, a coarsegrain mathematical model has been presented, accounting for the two distinct sub-units, their common precursor and the overall amount of proteins and ribosomes. The feedback of the ribosome-over-protein ratio on the ribosome synthesis was as well addressed. This note carries out the qualitative analysis on such a model, providing a condition ensuring the exponential growth of the cell as an emergent property of the network of the molecular players under investigation. The proposed analysis overcomes the drawbacks of a previous work, which provided a set of restrictive sufficient conditions for exponential growth; indeed, here a single necessary and sufficient condition is given, which is also easy to check from the knowledge of the model parameters. Besides, a sensitivity analysis is proposed, detailing which parameters the emergent growth rate and the ribosome-over-protein ratio are more sensitive to.

Palumbo, P., Papa, F., Busti, S., Vanoni, M. (2024). Exponential growth conditions for a coarse-grain model of ribosome synthesis. In 2024 IEEE 63rd Conference on Decision and Control (CDC) (pp.4811-4816). Institute of Electrical and Electronics Engineers Inc. [10.1109/CDC56724.2024.10886718].

Exponential growth conditions for a coarse-grain model of ribosome synthesis

Palumbo P.
;
Busti S.;Vanoni M.
2024

Abstract

Ribosomes are fundamental cellular structures, playing a crucial role in the synthesis of proteins, the building blocks of life. They are composed of a large and a small subunit, each consisting of a combination of ribosomal RNA (rRNA) and numerous associated proteins. These subunits work collaboratively to translate messenger RNA (mRNA) into proteins through a process known as translation. Understanding the synthesis of ribosomal components is crucial for elucidating their function and role in cellular processes, including the setting of the cell growth rate. Recently, a coarsegrain mathematical model has been presented, accounting for the two distinct sub-units, their common precursor and the overall amount of proteins and ribosomes. The feedback of the ribosome-over-protein ratio on the ribosome synthesis was as well addressed. This note carries out the qualitative analysis on such a model, providing a condition ensuring the exponential growth of the cell as an emergent property of the network of the molecular players under investigation. The proposed analysis overcomes the drawbacks of a previous work, which provided a set of restrictive sufficient conditions for exponential growth; indeed, here a single necessary and sufficient condition is given, which is also easy to check from the knowledge of the model parameters. Besides, a sensitivity analysis is proposed, detailing which parameters the emergent growth rate and the ribosome-over-protein ratio are more sensitive to.
paper
Mathematical Modeling; Qualitative behavior analysis; Systems Biology;
English
63rd IEEE Conference on Decision and Control, CDC 2024 - 16-19 December 2024
2024
2024 IEEE 63rd Conference on Decision and Control (CDC)
9798350316339
2024
4811
4816
reserved
Palumbo, P., Papa, F., Busti, S., Vanoni, M. (2024). Exponential growth conditions for a coarse-grain model of ribosome synthesis. In 2024 IEEE 63rd Conference on Decision and Control (CDC) (pp.4811-4816). Institute of Electrical and Electronics Engineers Inc. [10.1109/CDC56724.2024.10886718].
File in questo prodotto:
File Dimensione Formato  
Palumbo-2024-Conference on Decision and Control, CDC-VoR.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Tutti i diritti riservati
Dimensione 636.34 kB
Formato Adobe PDF
636.34 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/553274
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact