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Record W4415202775 · doi:10.1101/2025.10.14.682463

Increased tissue tension caused by depletion of CLDN3 in the non-neural ectoderm causes neural fold fusion defects in chick embryos

2025· preprint· en· W4415202775 on OpenAlexafffund
Elizabeth-Ann Legere, Marie Dumont, Yojiro Yamanaka, Gabriel L. Galea, Aimee K. Ryan

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsMcGill University
FundersFaculty of Medicine and Health, University of SydneyFonds de Recherche du Québec - SantéLeverhulme TrustMcGill University Health CentreNatural Sciences and Engineering Research Council of CanadaWellcome Trust
KeywordsEctodermNeural foldNeural tubeApical constrictionNeurulationMorphogenesisMesodermNeural plateCell

Abstract

fetched live from OpenAlex

Abstract Neural tube morphogenesis provides a dynamic setting in which to study epithelial cell behaviours. Members of the claudin family of tight junction proteins regulate apical epithelial cell behaviors at all steps of neural tube development. We discovered that CLDN3, expressed in the non-neural ectoderm but not the neural ectoderm, is required to mediate neural fold fusion in chick embryos, particularly in the spinal region of the embryo. Depleting CLDN3 affects apical protein localization and apical domain morphology. Here, we used live imaging to re-examine the process of neural fold fusion in the cranial and spinal regions of the embryo and assessed biomechanical parameters of the non-neural ectoderm that are dependent on CLDN3. Our live imaging confirmed previous reports that unlike neural fold fusion in the cranial region and posterior neuropore, the spinal region does not depend on progressive fusion driven by “zippering” cell behaviors but instead fuses in a multi-step process where contact occurs simultaneously at multiple points along the anterior-posterior axis. We and others refer to the process of spinal neural fold fusion as “buttoning” to highlight the differences in cell behaviors from those observed during zippering (van Straaten et al., 1993). CLDN3-depletion decreased the rate of progression of neural fold buttoning within the spinal region. Using cell segmentation analyses we confirmed that CLDN3 depletion decreased the apical cell area of cells at the edges of the neural folds but not of lateral cells in the non-neural ectoderm. CLDN3 depletion increased pMLC staining within the apical domain of the cell, coinciding with a decrease in cell area, suggesting increased epithelial tension. Laser ablation studies revealed that the non-neural ectoderm of CLDN3-depleted embryos exhibits higher tension during neural fold fusion. We showed that treatment with the myosin II inhibitor blebbistatin is sufficient to partially rescue the neural fold fusion defects in CLDN3-depleted embryos. This work provides further evidence for the importance of non-neural ectodermal tissue tension in neural fold fusion and suggests that loss of CLDN3 may alter tissue tension through cytoskeletal regulation pathways within the apical domain. This work supports that CLDN3 contributes to neural fold fusion and epithelial tissue tension during neural fold fusion via modifications to the apical cytoskeleton. Summary We found that the tight junction protein Claudin-3 (CLDN3) plays a role in regulating tissue tension, by directing actomyosin contraction and apical cell shape/size changes essential for chick neural fold fusion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.254
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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