Evidence map›Paper›PMID 33539417›Full record

ArticlePLoS computational biology2021

Dynamics of chromosomal target search by a membrane-integrated one-component receptor.

Linda Martini, Sophie Brameyer, Elisabeth Hoyer, Kirsten Jung, Ulrich Gerland

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

5 authors at 2 institutions in 1 country.

Linda MartiniPhysics of Complex Biosystems, Technical University of Munich, Garching, Germany.ORCID 0000-0002-6641-1369
Sophie BrameyerMicrobiology, Ludwig-Maximilians-University Munich, Martinsried, Germany.ORCID 0000-0002-6779-2343
Elisabeth HoyerMicrobiology, Ludwig-Maximilians-University Munich, Martinsried, Germany.ORCID 0000-0002-7042-2247
Kirsten JungMicrobiology, Ludwig-Maximilians-University Munich, Martinsried, Germany.ORCID 0000-0003-0779-6841
Ulrich GerlandPhysics of Complex Biosystems, Technical University of Munich, Garching, Germany.ORCID 0000-0002-0859-6422
Ludwig-Maximilians-Universität München · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane proteins account for about one third of the cellular proteome, but it is still unclear how dynamic they are and how they establish functional contacts with cytoplasmic interaction partners. Here, we consider a membrane-integrated one-component receptor that also acts as a transcriptional activator, and analyze how it kinetically locates its specific binding site on the genome. We focus on the case of CadC, the pH receptor of the acid stress response Cad system in E. coli. CadC is a prime example of a one-component signaling protein that directly binds to its cognate target site on the chromosome to regulate transcription. We combined fluorescence microscopy experiments, mathematical analysis, and kinetic Monte Carlo simulations to probe this target search process. Using fluorescently labeled CadC, we measured the time from activation of the receptor until successful binding to the DNA in single cells, exploiting that stable receptor-DNA complexes are visible as fluorescent spots. Our experimental data indicate that CadC is highly mobile in the membrane and finds its target by a 2D diffusion and capture mechanism. DNA mobility is constrained due to the overall chromosome organization, but a labeled DNA locus in the vicinity of the target site appears sufficiently mobile to randomly come close to the membrane. Relocation of the DNA target site to a distant position on the chromosome had almost no effect on the mean search time, which was between four and five minutes in either case. However, a mutant strain with two binding sites displayed a mean search time that was reduced by about a factor of two. This behavior is consistent with simulations of a coarse-grained lattice model for the coupled dynamics of DNA within a cell volume and proteins on its surface. The model also rationalizes the experimentally determined distribution of search times. Overall our findings reveal that DNA target search does not present a much bigger kinetic challenge for membrane-integrated proteins than for cytoplasmic proteins. More generally, diffusion and capture mechanisms may be sufficient for bacterial membrane proteins to establish functional contacts with cytoplasmic targets.

Indexed as

AlgorithmsBacterial ProteinsBinding SitesComputer SimulationCytoplasmDiffusionDNAEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialHydrogen-Ion ConcentrationKineticsMembrane ProteinsMonte Carlo MethodMutationProbabilityBacterial ProteinsCadC protein, E coliDNAEscherichia coli ProteinsMembrane ProteinsTrans-Activators

Identifiers

PMID33539417
PMCPMC7888679
OpenAlexW3128682026

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.