Evidence map›Paper›PMID 25023459›Full record

ArticleScientific reports2014

Memory improves precision of cell sensing in fluctuating environments.

Gerardo Aquino, Luke Tweedy, Doris Heinrich, Robert G Endres

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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.

Gerardo AquinoDepartment of Life Sciences and Centre for Systems Biology and Bioinformatics, Imperial College, London, SW7 2AZ, United Kingdom.
Luke Tweedy1] Department of Life Sciences and Centre for Systems Biology and Bioinformatics, Imperial College, London, SW7 2AZ, United Kingdom [2] Beatson Institute for Cancer Research, Glasgow, G61 1BD, UK.
Doris Heinrich1] Leiden Institute of Physics, Leiden University, Leiden, The Netherlands and [2] Center for NanoScience (CeNS), Ludwig-Maximilians-University, Geschwister-Scholl-Platz 1, 80539 Munich, Germany.
Robert G EndresDepartment of Life Sciences and Centre for Systems Biology and Bioinformatics, Imperial College, London, SW7 2AZ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological cells are often found to sense their chemical environment near the single-molecule detection limit. Surprisingly, this precision is higher than simple estimates of the fundamental physical limit, hinting towards active sensing strategies. In this work, we analyse the effect of cell memory, e.g. from slow biochemical processes, on the precision of sensing by cell-surface receptors. We derive analytical formulas, which show that memory significantly improves sensing in weakly fluctuating environments. However, surprisingly when memory is adjusted dynamically, the precision is always improved, even in strongly fluctuating environments. In support of this prediction we quantify the directional biases in chemotactic Dictyostelium discoideum cells in a flow chamber with alternating chemical gradients. The strong similarities between cell sensing and control engineering suggest universal problem-solving strategies of living matter.

Indexed as

AlgorithmsChemotactic FactorsChemotaxisComputer SimulationDictyosteliumMicrofluidicsReceptors, Cell SurfaceChemotactic FactorsReceptors, Cell Surface

Identifiers

PMID25023459
PMCPMC4097367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.