Evidence map›Paper›PMID 40462931›Full record

ArticlebioRxiv : the preprint server for biology2025

A lateral tension model for mouse cranial neural tube closure.

Juana De La O, Gabriel L Galea, Adam C Martin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Juana De La ODepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID 0000-0003-1492-5381
Gabriel L GaleaDepartment of Developmental Biology and Cancer Researching and Teaching, University College London Great Ormond Street Institute of Child Health, WC1N 1 EH London, United Kingdom.ORCID 0000-0003-2515-1342
Adam C MartinDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID 0000-0001-8060-2607

Funding

Tissue morphogenesis: From signals to forcesR35GM144115 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Adam Christopher Martin · 2022 to 2026
$3.0M
Quantifying the contribution of supracellular actomyosin networks during mouse neural tube closureF31GM154461 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI DELAO, JUANA · 2024 to 2025
$99k
NIGMS NIH HHS F31 GM154461NIGMS NIH HHS R35 GM144115
6 · The paper itself

Abstract

Organisms mold their tissues into increasingly more complicated shapes during development using a set of deformation motifs. One set of motifs are tissue hinges and creases which are created through cell-level shape changes. Hinges and creases are often made from active, anisotropic cell constriction at the hinge, which can help drive tissue folding. This contractile hinge model is observed in a variety of developmental tissue folding contexts, like during neural tube closure (NTC) of commonly studied species. However, patterns of cells constriction are inconsistent with this model, in the mouse brain. Additionally, formation of the midline neural tube hinge and crease are insensitive to the molecular machinery needed to induce cell shape changes. Here, we test if a contractile hinge is the driving mechanism for mouse cranial NTC. Through targeted laser ablations, we infer tissue tension in the folding mouse cranial neural tube. In contrast to predications of the contractile hinge model, we find the midline hinge has relatively low and isotropic tension, the lateral neural folds have higher anisotropic tension. We also show that regional patterns of tension vary by sex. We propose a lateral tension model for mouse cranial NTC and theorize on the connection between tissue mechanics and sex in NTC defects.

Identifiers

PMID40462931
PMCPMC12132523

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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.