Evidence map›Paper›PMID 39479920›Full record

ArticleSoft matter2024

Cell shape and orientation control galvanotactic accuracy.

Ifunanya Nwogbaga, Brian A Camley

Abstract read
In one paragraph

Article in Soft matter, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ifunanya NwogbagaDepartment of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA. bcamley1@jhu.edu.ORCID http://orcid.org/0000-0001-6256-8935
Brian A CamleyDepartment of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA. bcamley1@jhu.edu.ORCID http://orcid.org/0000-0002-0765-6956

Funding

Physical insights into cell migrationR35GM142847 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Brian A Camley · 2021 to 2026
$2.4M
NIGMS NIH HHS R35 GM142847
6 · The paper itself

Abstract

Eukaryotic cells sense and follow electric fields during wound healing and embryogenesis - this is called galvanotaxis. Galvanotaxis is believed to be driven by the redistribution of "sensors" - potentially transmembrane proteins or other molecules - through electrophoresis and electroosmosis. Here, we update our previous model of the limits of galvanotaxis due to the stochasticity of sensor movements to account for cell shape and orientation. Computing the Fisher information shows that, in principle, cells have more information about the electric field direction when their long axis is parallel to the field. However, for weak fields, maximum-likelihood estimators may have lower variability when the cell's long axis is perpendicular to the field. In an alternate possibility, we find that if cells instead estimate the field direction by taking the average of all the sensor locations as its directional cue ("vector sum"), this introduces a bias towards the short axis, an effect not present for isotropic cells. We also explore the possibility that cell elongation arises downstream of sensor redistribution. We argue that if sensors migrate to the cell's rear, the cell will tend to expand perpendicular the field - as is more commonly observed - but if sensors migrate to the front, the cell will tend to elongate parallel to the field.

Indexed as

Cell ShapeElectricityModels, BiologicalTaxis Response

Identifiers

PMID39479920
PMCPMC12063540

What OpenQuestion holds

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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.