Evidence map›Paper›PMID 34953812›Full record

ArticleBiophysical journal2022

Switching off: The phenotypic transition to the uninduced state of the lactose uptake pathway.

Prasanna M Bhogale, Robin A Sorg, Jan-Willem Veening, Johannes Berg

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 3 countries.

Prasanna M BhogaleUniversity of Cologne, Institute for Biological Physics, Köln, Germany.
Robin A SorgMolecular Genetics Group, Groningen Biomolecular Sciences and Biotechnology Institute, Center for Synthetic Biology, University of Groningen, Groningen, the Netherlands.
Jan-Willem VeeningDepartment of Fundamental Microbiology, Faculty of Biology and Medicine, Lausanne, Switzerland.
Johannes BergUniversity of Cologne, Institute for Biological Physics, Köln, Germany. Electronic address: bergj@uni-koeln.de.
University of Cologne · DEUniversity of Groningen · NLUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lactose uptake pathway of E. coli is a paradigmatic example of multistability in gene regulatory circuits. In the induced state of the lac pathway, the genes comprising the lac operon are transcribed, leading to the production of proteins that import and metabolize lactose. In the uninduced state, a stable repressor-DNA loop frequently blocks the transcription of the lac genes. Transitions from one phenotypic state to the other are driven by fluctuations, which arise from the random timing of the binding of ligands and proteins. This stochasticity affects transcription and translation, and ultimately molecular copy numbers. Our aim is to understand the transition from the induced to the uninduced state of the lac operon. We use a detailed computational model to show that repressor-operator binding and unbinding, fluctuations in the total number of repressors, and inducer-repressor binding and unbinding all play a role in this transition. Based on the timescales on which these processes operate, we construct a minimal model of the transition to the uninduced state and compare the results with simulations and experimental observations. The induced state turns out to be very stable, with a transition rate to the uninduced state lower than 2×10

Indexed as

Escherichia coliEscherichia coli ProteinsLac OperonLac RepressorsLactoseEscherichia coli ProteinsLac RepressorsLactose

Identifiers

PMID34953812
PMCPMC8790241
OpenAlexW3166556308

What OpenQuestion holds

Textmetadata
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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.