Evidence map›Paper›PMID 21643513›Full record

ArticleJournal of statistical physics2011

Quantifying information transmission in eukaryotic gradient sensing and chemotactic response.

Bo Hu, Wen Chen, Herbert Levine, Wouter-Jan Rappel

Abstract read
In one paragraph

Article in Journal of statistical physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Decoding the chemotactic signal.Journal of leukocyte biology · 2018
    Review
  3. Cell-cell communication enhances the capacity of cell ensembles to sense shallow gradients during morphogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  4. Article
  5. Article
  6. How input fluctuations reshape the dynamics of a biological switching system.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
    Article
  7. A framework for designing and analyzing binary decision-making strategies in cellular systems.Integrative biology : quantitative biosciences from nano to macro · 2012
    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

4 authors.

Bo HuCenter for Theoretical Biological Physics and Department of Physics, University of California at San Diego, La Jolla, California 92093-0374, U.S.A.
Wen Chen
Herbert Levine
Wouter-Jan Rappel

Funding

Project 5P01GM078586 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RAPPEL, WOUTER-JAN · 2007 to 2016
$11.2M
NIGMS NIH HHS P01 GM078586
6 · The paper itself

Abstract

Eukaryotic cells are able to sense shallow chemical gradients by surface receptors and migrate toward chemoattractant sources. The accuracy of this chemotactic response relies on the ability of cells to infer gradients from the heterogeneous distribution of receptors bound by diffusing chemical molecules. Ultimately, the precision of gradient sensing is limited by the fluctuations of signaling components, including the stochastic receptor occupancy and noisy intracellular processing. Viewing the system as a Markovian communication channel, we apply techniques from information theory to derive upper bounds on the amount of information that can be reliably transmitted through a chemotactic cell. Specifically, we derive an expression for the mutual information between the gradient direction and the spatial distribution of bound receptors. We also compute the mutual information between the gradient direction and the motility direction using three different models for cell motion. Our results can be used to quantify the information loss during the various stages of directional sensing in eukaryotic chemotaxis.

Identifiers

PMID21643513
PMCPMC3104692

What OpenQuestion holds

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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.