Synthetic biology combines different branches of biology and engineering aimed at designing synthetic biological circuits able to replicate emergent properties useful for the biotechnology industry, human health and environment. The role of negative feedback in noise propagation for a basic enzymatic reaction scheme is investigated. Two feedback control schemes on enzyme expression are considered: one from the final product of the pathway activity, the other from the enzyme accumulation. Both schemes are designed to provide the same steady-state average values of the involved players, in order to evaluate the feedback performances according to the same working mode. Computations are carried out numerically and analytically, the latter allowing to infer information on which model parameter setting leads to a more efficient noise attenuation, according to the chosen scheme. In addition to highlighting the role of the feedback in providing a substantial noise reduction, our investigation concludes that the effect of feedback is enhanced by increasing the promoter sensitivity for both schemes. A further interesting biological insight is that an increase in the promoter sensitivity provides more benefits to the feedback from the product with respect to the feedback from the enzyme, in terms of enlarging the parameter design space.

Borri, A., Palumbo, P., Singh, A. (2016). Impact of negative feedback in metabolic noise propagation. IET SYSTEMS BIOLOGY, 10(5), 179-186 [10.1049/iet-syb.2016.0003].

Impact of negative feedback in metabolic noise propagation

Palumbo, P;
2016

Abstract

Synthetic biology combines different branches of biology and engineering aimed at designing synthetic biological circuits able to replicate emergent properties useful for the biotechnology industry, human health and environment. The role of negative feedback in noise propagation for a basic enzymatic reaction scheme is investigated. Two feedback control schemes on enzyme expression are considered: one from the final product of the pathway activity, the other from the enzyme accumulation. Both schemes are designed to provide the same steady-state average values of the involved players, in order to evaluate the feedback performances according to the same working mode. Computations are carried out numerically and analytically, the latter allowing to infer information on which model parameter setting leads to a more efficient noise attenuation, according to the chosen scheme. In addition to highlighting the role of the feedback in providing a substantial noise reduction, our investigation concludes that the effect of feedback is enhanced by increasing the promoter sensitivity for both schemes. A further interesting biological insight is that an increase in the promoter sensitivity provides more benefits to the feedback from the product with respect to the feedback from the enzyme, in terms of enlarging the parameter design space.
Articolo in rivista - Articolo scientifico
Synthetic Biology; Noise propagation; Chemical Master Equations
English
2016
10
5
179
186
open
Borri, A., Palumbo, P., Singh, A. (2016). Impact of negative feedback in metabolic noise propagation. IET SYSTEMS BIOLOGY, 10(5), 179-186 [10.1049/iet-syb.2016.0003].
File in questo prodotto:
File Dimensione Formato  
Revised_Journal_draft_IET_v3.pdf

accesso aperto

Descrizione: Versione post-print completa del lavoro
Tipologia di allegato: Author’s Accepted Manuscript, AAM (Post-print)
Dimensione 147.43 kB
Formato Adobe PDF
147.43 kB Adobe PDF Visualizza/Apri

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/10281/246805
Citazioni
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 16
Social impact