Evidence map›Paper›PMID 32523414›Full record

ArticleProceedings. Mathematical, physical, and engineering sciences2020

From a discrete model of chemotaxis with volume-filling to a generalized Patlak-Keller-Segel model.

Federica Bubba, Tommaso Lorenzi, Fiona R Macfarlane

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
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  8. Review
  9. Review
  10. Article
  11. Collective self-optimization of communicating active particles.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. 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

3 authors at 2 institutions in 3 countries.

Federica BubbaSorbonne Universités, Universités Paris-Diderot, Laboratoire Jacques-Louis Lions, 75005 Paris, France.
Tommaso LorenziSchool of Mathematics and Statistics, University of St Andrews, St Andrews KY16 9SS, UK.ORCID 0000-0001-9165-1666
Fiona R MacfarlaneSchool of Mathematics and Statistics, University of St Andrews, St Andrews KY16 9SS, UK.
University of St Andrews · GBUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a discrete model of chemotaxis whereby cells responding to a chemoattractant are seen as individual agents whose movement is described through a set of rules that result in a biased random walk. In order to take into account possible alterations in cellular motility observed at high cell densities (i.e. volume-filling), we let the probabilities of cell movement be modulated by a decaying function of the cell density. We formally show that a general form of the celebrated Patlak-Keller-Segel (PKS) model of chemotaxis can be formally derived as the appropriate continuum limit of this discrete model. The family of steady-state solutions of such a generalized PKS model are characterized and the conditions for the emergence of spatial patterns are studied via linear stability analysis. Moreover, we carry out a systematic quantitative comparison between numerical simulations of the discrete model and numerical solutions of the corresponding PKS model, both in one and in two spatial dimensions. The results obtained indicate that there is excellent quantitative agreement between the spatial patterns produced by the two models. Finally, we numerically show that the outcomes of the two models faithfully replicate those of the classical PKS model in a suitable asymptotic regime.

Indexed as

chemotaxisdiscrete modelsgeneralized Patlak–Keller–Segel modelvolume-filling

Identifiers

PMID32523414
PMCPMC7277129
OpenAlexW3025246673

What OpenQuestion holds

Textmetadata
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.