Evidence map›Paper›PMID 35584137›Full record

ArticlePLoS computational biology2022

Anomalous diffusion and asymmetric tempering memory in neutrophil chemotaxis.

Peter Dieterich, Otto Lindemann, Mats Leif Moskopp, Sebastien Tauzin, Anna Huttenlocher, Rainer Klages, Aleksei Chechkin, Albrecht Schwab

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. 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
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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  5. Membrane potential dynamics of C5a-stimulated neutrophil granulocytes.Pflugers Archiv : European journal of physiology · 2024
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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

8 authors at 7 institutions in 5 countries.

Peter DieterichInstitut für Physiologie, TU Dresden, Dresden, Germany.ORCID 0000-0002-3564-0193
Otto LindemannInstitut für Physiologie II, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Mats Leif MoskoppInstitut für Physiologie, TU Dresden, Dresden, Germany.ORCID 0000-0002-4233-3140
Sebastien TauzinDepartment of Biology, Utah Valley University, Orem, Utah, United States of America.ORCID 0000-0002-8082-4864
Anna HuttenlocherHuttenlocher Lab, Department of Medical Microbiology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Rainer KlagesSchool of Mathematical Sciences, Queen Mary University of London, London, United Kingdom.
Aleksei ChechkinInstitute of Physics and Astronomy, University of Potsdam, Potsdam-Golm, Germany.
Albrecht SchwabInstitut für Physiologie II, Westfälische Wilhelms-Universität Münster, Münster, Germany.
University of Münster · DEKlinikum im Friedrichshain · DEQueen Mary University of London · GBTechnische Universität Dresden · DEUniversity of Wisconsin–Madison · USUtah Valley University · USWrocław University of Science and Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The motility of neutrophils and their ability to sense and to react to chemoattractants in their environment are of central importance for the innate immunity. Neutrophils are guided towards sites of inflammation following the activation of G-protein coupled chemoattractant receptors such as CXCR2 whose signaling strongly depends on the activity of Ca2+ permeable TRPC6 channels. It is the aim of this study to analyze data sets obtained in vitro (murine neutrophils) and in vivo (zebrafish neutrophils) with a stochastic mathematical model to gain deeper insight into the underlying mechanisms. The model is based on the analysis of trajectories of individual neutrophils. Bayesian data analysis, including the covariances of positions for fractional Brownian motion as well as for exponentially and power-law tempered model variants, allows the estimation of parameters and model selection. Our model-based analysis reveals that wildtype neutrophils show pure superdiffusive fractional Brownian motion. This so-called anomalous dynamics is characterized by temporal long-range correlations for the movement into the direction of the chemotactic CXCL1 gradient. Pure superdiffusion is absent vertically to this gradient. This points to an asymmetric 'memory' of the migratory machinery, which is found both in vitro and in vivo. CXCR2 blockade and TRPC6-knockout cause tempering of temporal correlations in the chemotactic gradient. This can be interpreted as a progressive loss of memory, which leads to a marked reduction of chemotaxis and search efficiency of neutrophils. In summary, our findings indicate that spatially differential regulation of anomalous dynamics appears to play a central role in guiding efficient chemotactic behavior.

Indexed as

ChemotaxisNeutrophilsAnimalsBayes TheoremChemotactic FactorsMiceTRPC6 Cation ChannelZebrafishChemotactic FactorsTRPC6 Cation Channel

Identifiers

PMID35584137
PMCPMC9154114
OpenAlexW4280510391

What OpenQuestion holds

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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.