Evidence map›Paper›PMID 26993136›Full record

ArticleJournal of mathematical biology2016

Derivation of the bacterial run-and-tumble kinetic equation from a model with biochemical pathway.

Benoît Perthame, Min Tang, Nicolas Vauchelet

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Article in Journal of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Benoît PerthameLaboratoire Jacques-Louis Lions UMR CNRS 7598 and INRIA Paris, Sorbonne Université, UPMC Univ Paris 06, Inria, 75005, Paris, France. benoit.perthame@upmc.fr.
Min TangDepartment of Mathematics, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Nicolas VaucheletLaboratoire Jacques-Louis Lions UMR CNRS 7598 and INRIA Paris, Sorbonne Université, UPMC Univ Paris 06, Inria, 75005, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinetic-transport equations are, by now, standard models to describe the dynamics of populations of bacteria moving by run-and-tumble. Experimental observations show that bacteria increase their run duration when encountering an increasing gradient of chemotactic molecules. This led to a first class of models which heuristically include tumbling frequencies depending on the path-wise gradient of chemotactic signal. More recently, the biochemical pathways regulating the flagellar motors were uncovered. This knowledge gave rise to a second class of kinetic-transport equations, that takes into account an intra-cellular molecular content and which relates the tumbling frequency to this information. It turns out that the tumbling frequency depends on the chemotactic signal, and not on its gradient. For these two classes of models, macroscopic equations of Keller-Segel type, have been derived using diffusion or hyperbolic rescaling. We complete this program by showing how the first class of equations can be derived from the second class with molecular content after appropriate rescaling. The main difficulty is to explain why the path-wise gradient of chemotactic signal can arise in this asymptotic process. Randomness of receptor methylation events can be included, and our approach can be used to compute the tumbling frequency in presence of such a noise.

Indexed as

Bacterial Physiological PhenomenaBiochemical PhenomenaModels, BiologicalChemotaxisDiffusionKineticsAsymptotic analysisBiochemical pathwayChemotaxisKinetic-transport equationsRun and tumble

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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.