Evidence map›Paper›PMID 33558556›Full record

ArticleNature communications2021

Winner-takes-all resource competition redirects cascading cell fate transitions.

Rong Zhang, Hanah Goetz, Juan Melendez-Alvarez, Jiao Li, Tian Ding, Xiao Wang, Xiao-Jun Tian

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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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

7 authors.

Rong ZhangSchool 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.ORCID 0000-0002-4057-3271
Juan Melendez-AlvarezSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-4526-8946
Jiao LiSchool 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.ORCID 0000-0002-4056-0155
Xiao-Jun TianSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaojun.tian@asu.edu.ORCID 0000-0002-5601-2057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Failure of modularity remains a significant challenge for assembling synthetic gene circuits with tested modules as they often do not function as expected. Competition over shared limited gene expression resources is a crucial underlying reason. It was reported that resource competition makes two seemingly separate genes connect in a graded linear manner. Here we unveil nonlinear resource competition within synthetic gene circuits. We first build a synthetic cascading bistable switches (Syn-CBS) circuit in a single strain with two coupled self-activation modules to achieve two successive cell fate transitions. Interestingly, we find that the in vivo transition path was redirected as the activation of one switch always prevails against the other, contrary to the theoretically expected coactivation. This qualitatively different type of resource competition between the two modules follows a 'winner-takes-all' rule, where the winner is determined by the relative connection strength between the modules. To decouple the resource competition, we construct a two-strain circuit, which achieves successive activation and stable coactivation of the two switches. These results illustrate that a highly nonlinear hidden interaction between the circuit modules due to resource competition may cause counterintuitive consequences on circuit functions, which can be controlled with a division of labor strategy.

Indexed as

Cell LineageMicrobial ConsortiaModels, Biological

Identifiers

PMID33558556
PMCPMC7870843

What OpenQuestion holds

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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.