Evidence map›Paper›PMID 32251409›Full record

ArticleNature chemical biology2020

Topology-dependent interference of synthetic gene circuit function by growth feedback.

Rong Zhang, Jiao Li, Juan Melendez-Alvarez, Xingwen Chen, Patrick Sochor, Hanah Goetz, Qi Zhang, Tian Ding, Xiao Wang, Xiao-Jun Tian

Abstract read
In one paragraph

Article in Nature chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

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  19. Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2024
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rong Zhang *School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Jiao Li *School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Juan Melendez-AlvarezSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Xingwen ChenSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Patrick SochorSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Hanah GoetzSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Qi ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Tian DingDepartment of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang, China.
Xiao WangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaowang@asu.edu.ORCID http://orcid.org/0000-0002-4056-0155
Xiao-Jun TianSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaojun.tian@asu.edu.ORCID http://orcid.org/0000-0002-5601-2057

Funding

Forward engineering to understand gene regulatory network topologiesR01GM106081 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, XIAO · 2014 to 2018
$1.7M
NIGMS NIH HHS R01 GM106081
6 · The paper itself

Abstract

Growth-mediated feedback between synthetic gene circuits and host organisms leads to diverse emerged behaviors, including growth bistability and enhanced ultrasensitivity. However, the range of possible impacts of growth feedback on gene circuits remains underexplored. Here we mathematically and experimentally demonstrated that growth feedback affects the functions of memory circuits in a network topology-dependent way. Specifically, the memory of the self-activation switch is quickly lost due to the growth-mediated dilution of the circuit products. Decoupling of growth feedback reveals its memory, manifested by its hysteresis property across a broad range of inducer concentration. On the contrary, the toggle switch is more refractory to growth-mediated dilution and can retrieve its memory after the fast-growth phase. The underlying principle lies in the different dependence of active and repressive regulations in these circuits on the growth-mediated dilution. Our results unveil the topology-dependent mechanism on how growth-mediated feedback influences the behaviors of gene circuits.

Indexed as

Computer SimulationEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksGenes, SyntheticGreen Fluorescent ProteinsKineticsModels, GeneticOptical ImagingEscherichia coli ProteinsGreen Fluorescent Proteins

Identifiers

PMID32251409
PMCPMC7246135

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.