Evidence map›Paper›PMID 33993412›Full record

ArticleJournal of mathematical biology2021

A systematic search for switch-like behavior in type II toxin-antitoxin systems.

Cody E FitzGerald, James P Keener

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Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cody E FitzGeraldDepartment of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT, 84112, USA. cfitz@math.utah.edu.ORCID 0000-0002-1646-6214
James P KeenerDepartment of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT, 84112, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bistable switch-like behavior is a ubiquitous feature of gene regulatory networks with decision-making capabilities. Type II toxin-antitoxin (TA) systems are hypothesized to facilitate a bistable switch in toxin concentration that influences the dormancy transition in persister cells. However, a series of recent retractions has raised fundamental questions concerning the exact mechanism of toxin propagation in persister cells and the relationship between type II TA systems and cellular dormancy. Through a careful modeling search, we identify how sp: bistablilty can emerge in type II TA systems by systematically modifying a basic model for the RelBE system with other common biological mechanisms. Our systematic search uncovers a new combination of mechanisms influencing bistability in type II TA systems and explores how toxin bistability emerges through synergistic interactions between paired type II TA systems. Our analysis also illustrates how Descartes' rule of signs and the resultant can be used as a powerful delineator of bistability in mathematical systems regardless of application.

Indexed as

Toxin-Antitoxin SystemsBacterial ProteinsBacterial ProteinsBistabilityCross-talkMathematical modelingResultantResultant analysisSwitchesSynergyToxin–antitoxin systemsType II toxin–antitoxin systems

Identifiers

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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.