Evidence map›Paper›PMID 36112667›Full record

ArticlePLoS computational biology2022

Emergence of qualitative states in synthetic circuits driven by ultrasensitive growth feedback.

Juan Ramon Melendez-Alvarez, Xiao-Jun Tian

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Article
  8. 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
  9. Review
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  11. Article
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

2 authors at 1 institution in 1 country.

Juan Ramon Melendez-AlvarezSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-4526-8946
Xiao-Jun TianSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-5601-2057
Arizona State University · US

Funding

Multi-Scale Engineering of Heterogeneity in the Host-Aware Synthetic Gene CircuitsR35GM142896 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TIAN, XIAOJUN · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142896
6 · The paper itself

Abstract

The mutual interactions between the synthetic gene circuits and the host growth could cause unexpected outcomes in the dynamical behaviors of the circuits. However, how the steady states and the stabilities of the gene circuits are affected by host cell growth is not fully understood. Here, we developed a mathematical model for nonlinear growth feedback based on published experimental data. The model analysis predicts that growth feedback could significantly change the qualitative states of the system. Bistability could emerge in a circuit without positive feedback, and high-order multistability (three or more steady states) arises in the self-activation and toggle switch circuits. Our results provide insight into the potential effects of ultrasensitive growth feedback on the emergence of qualitative states in synthetic circuits and the corresponding underlying mechanism.

Indexed as

Gene Regulatory NetworksModels, GeneticCell CycleFeedback

Identifiers

PMID36112667
PMCPMC9518899
OpenAlexW4296078700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.