Evidence map›Paper›PMID 42441669›Full record

ArticlePLoS computational biology2026

Mutual inhibition model of pattern formation: The role of Wnt-Dickkopf interactions in driving Hydra body axis formation.

Moritz Mercker, Alexey Kazarnikov, Anja Tursch, Thomas Richter, Suat Özbek, Thomas Holstein, Anna Marciniak-Czochra

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Article in PLoS computational biology, 2026. 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

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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

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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

7 authors.

Moritz MerckerInstitute for Mathematics and Interdisciplinary Center of Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-7685-6193
Alexey KazarnikovInstitute for Mathematics and Interdisciplinary Center of Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany.
Anja TurschCentre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-4456-4882
Thomas RichterInstitute of Analysis and Numerics, University Magdeburg, Magdeburg, Germany.ORCID https://orcid.org/0000-0003-0206-3606
Suat ÖzbekCentre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany.
Thomas HolsteinCentre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany.
Anna Marciniak-CzochraInstitute for Mathematics and Interdisciplinary Center of Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The antagonistic interplay between canonical Wnt signalling and Dickkopf (Dkk) proteins is fundamental to tissue organisation, including stem cell differentiation and body-axis formation. Disruptions in this interaction are linked to various human diseases, yet the mechanisms by which β-catenin/Wnt-Dkk interactions give rise to robust spatial patterning remain unclear. A key model system for Wnt-driven pattern formation is the pre-bilaterian organism Hydra, where two ancestral Dkk proteins interact with Wnt signalling to self-organise the body axis. While Hydra patterning has been extensively studied within the activator-inhibitor framework, a model that directly integrates experimentally identified molecular components has been lacking. Here, we introduce a mathematical model incorporating both Dkk molecules and their experimentally established interactions with Wnt signalling. Numerical simulations and analytical results show that the Wnt-Dkk network alone is sufficient to drive de novo body-axis formation across a broad parameter range. The model provides a biologically grounded realisation of the general local activation-long-range inhibition (LALI) principle, in which effective local activation emerges from mutual inhibition rather than molecular self-activation. In contrast to previous Hydra models, it explicitly links experimentally characterised Wnt-Dkk interactions to pattern formation, accounts for the experimentally observed role of injury-induced activation, and exhibits robust behaviour under perturbations.

Indexed as

Body PatterningHydraIntercellular Signaling Peptides and ProteinsModels, BiologicalWnt ProteinsWnt Signaling PathwayAnimalsbeta CateninComputational BiologyComputer Simulationbeta CateninIntercellular Signaling Peptides and ProteinsWnt Proteins

Identifiers

PMID42441669
PMCPMC13384401

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LicenceCC BY
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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.