Evidence map›Paper›PMID 20502674›Full record

ArticlePLoS computational biology2010

Chemotactic response and adaptation dynamics in Escherichia coli.

Diana Clausznitzer, Olga Oleksiuk, Linda Løvdok, Victor Sourjik, Robert G Endres

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Deciphering the proteome ofComputational and structural biotechnology journal · 2025
    Article
  5. Homeostasis in networks with multiple inputs.Journal of mathematical biology · 2024
    Article
  6. Article
  7. Article
  8. Ras inhibitor CAPRI enables neutrophil-like cells to chemotax through a higher-concentration range of gradients.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Drift and Behavior of E. coli Cells.Biophysical journal · 2017
    Article
  16. Article
  17. Article
  18. Information processing in bacteria: memory, computation, and statistical physics: a key issues review.Reports on progress in physics. Physical Society (Great Britain) · 2016
    Review
  19. Article
  20. 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 3 institutions in 2 countries.

Diana ClausznitzerDivision of Molecular Biosciences, Imperial College London, London, United Kingdom.
Olga Oleksiuk
Linda Løvdok
Victor Sourjik
Robert G Endres
DKFZ-ZMBH Alliance · DEImperial College London · GBHeidelberg University · DE

Funding

Biotechnology and Biological Sciences Research Council BB/C519670/1Biotechnology and Biological Sciences Research Council BB/G000131/1
6 · The paper itself

Abstract

Adaptation of the chemotaxis sensory pathway of the bacterium Escherichia coli is integral for detecting chemicals over a wide range of background concentrations, ultimately allowing cells to swim towards sources of attractant and away from repellents. Its biochemical mechanism based on methylation and demethylation of chemoreceptors has long been known. Despite the importance of adaptation for cell memory and behavior, the dynamics of adaptation are difficult to reconcile with current models of precise adaptation. Here, we follow time courses of signaling in response to concentration step changes of attractant using in vivo fluorescence resonance energy transfer measurements. Specifically, we use a condensed representation of adaptation time courses for efficient evaluation of different adaptation models. To quantitatively explain the data, we finally develop a dynamic model for signaling and adaptation based on the attractant flow in the experiment, signaling by cooperative receptor complexes, and multiple layers of feedback regulation for adaptation. We experimentally confirm the predicted effects of changing the enzyme-expression level and bypassing the negative feedback for demethylation. Our data analysis suggests significant imprecision in adaptation for large additions. Furthermore, our model predicts highly regulated, ultrafast adaptation in response to removal of attractant, which may be useful for fast reorientation of the cell and noise reduction in adaptation.

Indexed as

Models, BiologicalAdaptation, PhysiologicalChemotaxisChi-Square DistributionDNA MethylationDose-Response Relationship, DrugEscherichia coliPhosphorylationSignal TransductionSystems BiologyThermodynamics

Identifiers

PMID20502674
PMCPMC2873904
OpenAlexW2087537613

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.