Literature DB >> 28459541

Decoupling Resource-Coupled Gene Expression in Living Cells.

Tatenda Shopera1, Lian He1, Tolutola Oyetunde1, Yinjie J Tang1, Tae Seok Moon1.   

Abstract

Synthetic biology aspires to develop frameworks that enable the construction of complex and reliable gene networks with predictable functionalities. A key limitation is that increasing network complexity increases the demand for cellular resources, potentially causing resource-associated interference among noninteracting circuits. Although recent studies have shown the effects of resource competition on circuit behaviors, mechanisms that decouple such interference remain unclear. Here, we constructed three systems in Escherichia coli, each consisting of two independent circuit modules where the complexity of one module (Circuit 2) was systematically increased while the other (Circuit 1) remained identical. By varying the expression level of Circuit 1 and measuring its effect on the expression level of Circuit 2, we demonstrated computationally and experimentally that indirect coupling between these seemingly unconnected genetic circuits can occur in three different regulatory topologies. More importantly, we experimentally verified the computational prediction that negative feedback can significantly reduce resource-coupled interference in regulatory circuits. Our results reveal a design principle that enables cells to reliably multitask while tightly controlling cellular resources.

Entities:  

Keywords:  biological robustness; negative feedback; protein sequestration; regulatory architecture; resource competition

Mesh:

Substances:

Year:  2017        PMID: 28459541     DOI: 10.1021/acssynbio.7b00119

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  19 in total

Review 1.  Predictive biology: modelling, understanding and harnessing microbial complexity.

Authors:  Allison J Lopatkin; James J Collins
Journal:  Nat Rev Microbiol       Date:  2020-05-29       Impact factor: 60.633

2.  Modelling and measuring intracellular competition for finite resources during gene expression.

Authors:  Renana Sabi; Tamir Tuller
Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

3.  Prediction of Cellular Burden with Host-Circuit Models.

Authors:  Evangelos-Marios Nikolados; Andrea Y Weiße; Diego A Oyarzún
Journal:  Methods Mol Biol       Date:  2021

4.  Realizing 'integral control' in living cells: how to overcome leaky integration due to dilution?

Authors:  Yili Qian; Domitilla Del Vecchio
Journal:  J R Soc Interface       Date:  2018-02       Impact factor: 4.118

5.  Dynamic metabolic control: towards precision engineering of metabolism.

Authors:  Di Liu; Ahmad A Mannan; Yichao Han; Diego A Oyarzún; Fuzhong Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

6.  Double-edged role of resource competition in gene expression noise and control.

Authors:  Hanah Goetz; Austin Stone; Rong Zhang; Ying-Cheng Lai; Xiao-Jun Tian
Journal:  Adv Genet (Hoboken)       Date:  2022-02-08

7.  Optimality of the spontaneous prophage induction rate.

Authors:  Michael G Cortes; Jonathan Krog; Gábor Balázsi
Journal:  J Theor Biol       Date:  2019-09-13       Impact factor: 2.691

Review 8.  Context-aware synthetic biology by controller design: Engineering the mammalian cell.

Authors:  Nika Shakiba; Ross D Jones; Ron Weiss; Domitilla Del Vecchio
Journal:  Cell Syst       Date:  2021-06-16       Impact factor: 11.091

9.  Improving the Robustness of Engineered Bacteria to Nutrient Stress Using Programmed Proteolysis.

Authors:  Klara Szydlo; Zoya Ignatova; Thomas E Gorochowski
Journal:  ACS Synth Biol       Date:  2022-02-17       Impact factor: 5.249

10.  Dynamic allocation of orthogonal ribosomes facilitates uncoupling of co-expressed genes.

Authors:  Alexander P S Darlington; Juhyun Kim; José I Jiménez; Declan G Bates
Journal:  Nat Commun       Date:  2018-02-15       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.