Literature DB >> 33109021

A hidden integral structure endows absolute concentration robust systems with resilience to dynamical concentration disturbances.

Daniele Cappelletti1, Ankit Gupta1, Mustafa Khammash1.   

Abstract

Biochemical systems that express certain chemical species of interest at the same level at any positive steady state are called 'absolute concentration robust' (ACR). These species behave in a stable, predictable way, in the sense that their expression is robust with respect to sudden changes in the species concentration, provided that the system reaches a (potentially new) positive steady state. Such a property has been proven to be of importance in certain gene regulatory networks and signaling systems. In the present paper, we mathematically prove that a well-known class of ACR systems studied by Shinar and Feinberg in 2010 hides an internal integral structure. This structure confers these systems with a higher degree of robustness than was previously known. In particular, disturbances much more general than sudden changes in the species concentrations can be rejected, and robust perfect adaptation is achieved. Significantly, we show that these properties are maintained when the system is interconnected with other chemical reaction networks. This key feature enables the design of insulator devices that are able to buffer the loading effect from downstream systems-a crucial requirement for modular circuit design in synthetic biology. We further note that while the best performance of the insulators are achieved when these act at a faster timescale than the upstream module (as typically required), it is not necessary for them to act on a faster timescale than the downstream module in our construction.

Keywords:  absolute concentration robustness; insulators; integral feedback; reaction networks

Mesh:

Year:  2020        PMID: 33109021      PMCID: PMC7653391          DOI: 10.1098/rsif.2020.0437

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  24 in total

1.  Solving the chemical master equation for monomolecular reaction systems analytically.

Authors:  Tobias Jahnke; Wilhelm Huisinga
Journal:  J Math Biol       Date:  2006-09-05       Impact factor: 2.259

Review 2.  The second wave of synthetic biology: from modules to systems.

Authors:  Priscilla E M Purnick; Ron Weiss
Journal:  Nat Rev Mol Cell Biol       Date:  2009-06       Impact factor: 94.444

3.  High stimulus unmasks positive feedback in an autoregulated bacterial signaling circuit.

Authors:  Tim Miyashiro; Mark Goulian
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-05       Impact factor: 11.205

4.  Robustness in bacterial chemotaxis.

Authors:  U Alon; M G Surette; N Barkai; S Leibler
Journal:  Nature       Date:  1999-01-14       Impact factor: 49.962

5.  Robustness in simple biochemical networks.

Authors:  N Barkai; S Leibler
Journal:  Nature       Date:  1997-06-26       Impact factor: 49.962

6.  Discrepancies between extinction events and boundary equilibria in reaction networks.

Authors:  David F Anderson; Daniele Cappelletti
Journal:  J Math Biol       Date:  2019-06-22       Impact factor: 2.259

7.  Node balanced steady states: Unifying and generalizing complex and detailed balanced steady states.

Authors:  Elisenda Feliu; Daniele Cappelletti; Carsten Wiuf
Journal:  Math Biosci       Date:  2018-03-28       Impact factor: 2.144

8.  Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system.

Authors:  Eric Batchelor; Mark Goulian
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-09       Impact factor: 11.205

Review 9.  Retroactivity in the Context of Modularly Structured Biomolecular Systems.

Authors:  Libertad Pantoja-Hernández; Juan Carlos Martínez-García
Journal:  Front Bioeng Biotechnol       Date:  2015-06-17

10.  A load driver device for engineering modularity in biological networks.

Authors:  Deepak Mishra; Phillip M Rivera; Allen Lin; Domitilla Del Vecchio; Ron Weiss
Journal:  Nat Biotechnol       Date:  2014-11-24       Impact factor: 54.908

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.